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How Ecommerce Brands Actually Get Discovered In AI Search

AI search is reshaping how ecommerce brands get discovered.

One week, your products show up in ChatGPT. The next week, they’re replaced by competitors.

For many brands, this uncertainty can feel overwhelming.

Organic visibility now depends less on rankings and keywords, and more on how LLMs gather information, which platforms they rely on, and what signals help them highlight your brand.

In this guide, I’ll explain this crucial shift in detail.

I’ll unpack:

  • What actually shapes visibility inside AI answers
  • The business impact of compressed buyer journeys and broken attribution
  • How you can build lasting relevance in this new search ecosystem

The 3 Types of AI Visibility for Ecommerce Brands

If you’re familiar with SEO, getting AI visibility is similar. It starts with how search systems decide what to display.

But for years, ecommerce SEO was a linear equation: rank = visibility = traffic (and then conversions).

AI search is changing that.

LLMs summarize, compare, and recommend products, all in one place.

In short: Shoppers can discover your products, check alternatives, and make buying decisions within AI chats.

In this new setup, brands compete across three different discovery models.

Type 1: Brand Mentions

Mentions drive product discovery and build top-of-funnel LLM visibility for your brand.

This is where your brand gets featured in AI-generated answers, often without a link to your site.

Claude – Brand mentions

Mentions often come from reputation signals like:

  • Reddit posts
  • Media coverage
  • User reviews
  • Social discussions

Put simply, you become part of the conversation.

For new or emerging brands, this is often the first touchpoint to reach shoppers through AI.

Type 2: Citations

Citations are linked references within AI-generated results, like a footnote in an essay.

With citations, LLMs attribute specific information, claims, or data points to your pages.

Perplexity – Citations as linked references

Your brand becomes a source of truth in AI responses and gains credibility.

How?

When an AI tool cites your brand, it signals to shoppers that you’re an authoritative voice.

Plus, citations can support your positioning. The AI tools can pull your framing and product narrative into their response. Not someone else’s.

Type 3: Product Recommendations

AI platforms actively recommend products for a shopper’s specific needs and concerns.

This is the most impactful layer for ecommerce brands.

Your products can show up with pricing, ratings, and other details.

This type of visibility effectively merges discovery and purchase in one place.

ChatGPT – Product recommendations

This happens when the LLM reviews the query, compares options, and picks your product as the best fit.

Showing up in the list of recommended products makes your brand a part of the decision interface.

Shoppers can compare specs, prices, and reviews — or even purchase — right in the AI chatbot or search tool itself.

How AI Models Choose Which Ecommerce Brands to Surface

AI visibility as a discipline is still evolving rapidly. But there are clear patterns to which ecommerce brands get seen and which get sidelined.

Two driving forces at play are: consensus and consistency.

Consensus

With traditional search, ecommerce brands could build domain authority through activities like link building and digital PR. Strong pages from an authority perspective tended to perform well in search results.

In AI search, LLMs don’t evaluate your website and product pages in isolation. Authority is built from a consensus across sources.

LLMs ask: “What do credible sources agree on about this product?”

To decide which brands and products deserve visibility, LLMs cross-reference multiple sources, like:

  • Reddit threads
  • YouTube videos
  • Industry reports
  • Customer reviews
  • Trusted publishers
  • Community discussions

Building Authority for Your Ecommerce Brand

So, a glowing review on your PDP might mean little if customers on Amazon consistently leave 1-star ratings.

And a publisher’s feature loses impact if Reddit users repeatedly recommend your competitors instead.

In other words: No single source determines your likelihood of being mentioned or cited. It’s the pattern of consensus across multiple platforms that does this.

For example:

Keychron frequently shows up when you use AI search tools to find mechanical keyboards.

This happens because the brand has earned trust through various sources:

  • Review sites like PCMag and Tom’s Guide rank Keychron in their top recommendations
  • Keychron’s Amazon pages are detailed with positive reviews and an average rating of 4.4 stars
  • Multiple Reddit threads in subreddits like r/MechanicalKeyboards and r/macbook recommend the brand
  • Several YouTube videos feature Keychron in their roundup of mechanical keyboards

Composite Authority Building – Keychron

Each trust signal on its own is valuable.

But when taken together, LLMs see a pattern of independent sources validating the same brand/product for a specific use case.

Consistency

LLMs don’t crawl and rank pages the way traditional search engines do.

Instead, when answering a product-related query, an AI model might pull:

  • Your product name from your Shopify store
  • Pricing from Google Merchant Center
  • Key specs from Amazon
  • Opinions from users on Reddit

How LLMs Generate Product Recommendations

If your product title is “stainless steel” on Amazon but “brushed metal” on Walmart, the LLM can’t decide which is correct. This inconsistency could make the AI tool less likely to include any information about your product. Or it could include the wrong information.

This is why data hygiene is crucial for building AI visibility.

You need to maintain a clean, synchronized identity for every product across every channel.

Three Pillars of Data Hygiene for Ecommerce

Your product attributes should follow the same pattern across your site, marketplaces, and feeds:

  • Model numbers
  • Dimensions
  • Materials
  • Weights
  • Prices

LLMs use these data points to match your products to queries and validate claims across sources.

Your Amazon listing, your Shopify store, your Google Merchant feed — all sources need to tell the same story with the same data.

So, the same SKU name, image, and product description should appear everywhere your product appears.

Finally, outdated data signals decay, and models may deprioritize products with outdated info.

When you change a price or update a key spec, that change should be visible everywhere. Stock availability, pricing, and features should always be up to date.

Types of Content That Dominate Ecommerce AI Search

We’re seeing clear patterns in what gets cited, mentioned, or ignored in AI search for ecommerce.

Understanding these patterns can be the difference between hoping you show up and knowing how to position your brand so that you do show up.

Here’s what’s currently doing well in AI search for ecommerce:

Top Cited Sources

I wanted to see which brands are cited most frequently in LLM responses for ecommerce queries — so I tested it.

I picked nine popular ecommerce niches and searched category-specific queries across ChatGPT, Claude, Perplexity, and AI Mode. 

Based on the responses, I made a list of five popular brands showing up frequently for each vertical.

Then, I jumped to the “Competitor Research” tab in Semrush’s AI Visibility Toolkit to run a gap analysis for these five brands in each category. 

The “Sources” tab showed which domains LLMs cite most frequently, like this for the “outdoor travel & gear” niche:

REI Competitor Research via Semrush's AI Visibility Toolkit

This data reveals where LLMs pull product information, and which platforms matter most in your vertical.

Top cited sources for ecommerce niches

Here’s what this data tells you:

  • Reddit: Reddit is a top-cited source for nearly every industry. If people aren’t discussing your brand in relevant subreddits, invest in Reddit marketing.
  • YouTube: It’s another universal citation source. Video content from creators and users feeds into AI answers. That means having a YouTube presence can be a huge visibility lever for most ecommerce verticals.
  • Category-specific platforms: Generic sources like Amazon appear everywhere. But niche platforms (like Petco, Barbend, Sephora) carry weight in their verticals.
  • Wikipedia: It’s a top source for categories like outdoor gear, healthy drinks, and gadgets. This is where product context and category education matter a lot alongside the likes of specs and pricing.

Going beyond these top-cited platforms, here are the kinds of content LLMs link to most frequently for ecommerce queries:

Publisher Listicles

These are product roundups, buying guides, and comparison posts from established media outlets.

For example, I asked ChatGPT for the best Bluetooth speaker recommendations.

It cites publishers like TechRadar, Rtings.com, and Stereo Guide for this response.

Getting featured in these listicles means you’re part of the source material LLMs use to compile information.

ChatGPT – Bluetooth speakers – Citations

AI models use publisher listicles as sources because they:

  • Compare multiple products in one place
  • Refresh their recommendations periodically, providing recency signals
  • Include specific, comparable details like price ranges, key specs, and pros/cons lists
  • Fulfill high editorial standards and so may appear more trustworthy than user-generated content

TechRadar – News best waterproof speaker

Retailer Product Pages

Retailers like Amazon, Walmart, and Target are among the most frequently cited sources for product queries.

When I asked Perplexity about the NutriBullet Turbo, it cited the product pages from the likes of Walmart and Macy’s.

These PDPs provide structured data points like ratings, pricing, and key specs.

Perplexity – Cited product pages

AI models often rely on these product pages because they:

  • Include structured, machine-readable product data like specs, dimensions, materials, and pricing
  • Aggregate hundreds or thousands of customer reviews as social proof
  • Show real-time availability and pricing

Walmart product pages

Lab Tests and Expert Reviews

In-depth product testing content from experts is another important source for citations.

These websites test products systematically and publish detailed findings.

LLMs can then use this empirical data as the basis for their responses.

For example, I asked Claude to find the best mattress for side sleepers.

The tool references sites like NapLab, Consumer Reports, and Sleep Foundation for data-backed recommendations.

Claude – Data backed recommendations

AI models consider lab test or expert review content for citations because they:

  • Compare products against consistent criteria and benchmarks
  • Show credibility with independent, systematic evaluation processes
  • Include measurable data to explain their top-ranked recommendations
  • Periodically update their recommendations to offer fresh, authoritative data

NapLab – Content for AI models citations

Reddit Threads and Community Discussions

Conversations on Reddit, Facebook groups, and YouTube comments frequently appear in AI responses.

This is especially true for subjective queries like “Is X worth it?” or “What do people actually think about Y?”

I tested this myself by asking Perplexity whether the Instant Pot Duo is worth buying.

It pulled insights from multiple Reddit threads, a Facebook group, and a YouTube video to respond based on real user input.

Perplexity – Pulled insights

Brands that get mentioned positively across multiple Reddit threads build “cultural proof.”

And those organic discussions about your brand feed directly into AI training data and real-time search results.

AI models pull from these communities because they:

  • Present an aggregated sentiment from community discussions
  • Contain contrasting opinions and insights to objectively review products
  • Show different use cases and pain points that a product can tackle
  • Highlight a product’s pros and cons based on firsthand experience

Reddit – Instantpot Subreddit

Comparison Posts

Content that compares two or more products can also help LLMs find the right brands to mention in their response.

When I ask AI Mode for alternatives to the supplement brand Athletic Greens, it mentions five options.

The sources include several comparison articles (alongside some roundups).

AI Mode – Comparison articles

Being included in this type of content (even if you’re not the winner) can help build your visibility.

This could be Brand A vs. Brand B blog posts, YouTube videos, review sites, and social media discussions.

AI models refer to these resources because they:

  • Answer buyers’ questions by comparing two or more products
  • Focus on decision-making criteria and help people make informed decisions

Garage Gym Reviews – Athletic Greens Alternatives

What This Shift Means for Your Ecommerce Brand

Let’s now consider the business impact of this AI search setup for your ecommerce brand.

The Compressed Buyer Journey

The traditional ecommerce funnel was built on multiple touchpoints.

A shopper might:

  • Google a product category
  • Read reviews on multiple different sites
  • Check Reddit and YouTube
  • Visit brand websites to compare prices
  • Return days later to buy

Each step was an opportunity for your brand to show up, make an impression, and win their trust.

For a lot of purchase decisions, AI search collapses this entire journey into a single interaction.

The same shoppers can now go to AI tools and ask, “What’s the best air fryer for a small kitchen?”

They get a single response with buying criteria, product recommendations, pricing, ratings, and more.

Old Ecommerce Buyer Journey vs. AI Powered

Now, clearly this isn’t going to happen for every purchase decision. These tools are still new for one thing, and it takes a lot to majorly shift buyer behavior. (And of course, SEO is not dead.)

But discovery, evaluation, and consideration CAN all happen in one response now. The AI agent performs the research labor.

That means you have fewer chances to influence buyers.

In the past, if a shopper didn’t discover you in organic search, they might find you through a review site, a Reddit thread, or a retargeting ad.

In other words: You could lose the first touchpoint and still win the sale three touchpoints later.

With AI search, you might only get one shot: the initial response.

For many ecommerce queries, AI tools give you a curated list of options. If you’re not in that initial answer, you don’t exist in the decision process.

As AI platforms make it easy for shoppers to buy directly within the chat, you often won’t get a second chance.

Take action: Build an AI search strategy using our Seen & Trusted Brand Framework to increase the probability of your brand getting featured in AI responses.


The Visibility Paradox

Your brand might frequently show up in AI search. But your analytics show flat traffic and zero conversions traced back to AI tools.

Here’s why:

Not all AI visibility is created equal.

Your brand can appear in 10 different AI responses and drive 10 completely different business outcomes.

It all depends on how you’re presented.

Here’s what the visibility spectrum actually looks like for ecommerce brands:

Visibility Type Example Business Outcome
Mentioned without context “Popular air fryer brands include Ninja, Cosori, Instant Pot, and Philips.” Value: Brand awareness
Purchase Likelihood: Low
Mentioned with attributes “Cosori is known for its large capacity and intuitive controls.” Value: Stronger positioning
Purchase Likelihood: Low-Medium
Cited as source “According to Cosori’s specifications, the air fryer’s temperature range is 170-400°F and includes a 2-year warranty.” Value: Credibility + potential traffic
Purchase Likelihood: Medium-High
Recommended “The Cosori 5.8-quart model includes 11 presets, uses 85% less oil than deep frying, fits a 3-pound chicken, and costs around $120.” Value: Active consideration and purchase
Purchase Likelihood: High

That means getting mentioned is table stakes, not the end goal.

Building brand awareness without differentiation just makes you a part of the crowd.

To drive real sales, you need to earn citations and product recommendations.

The brands winning in AI search are:

  • Cited as trustworthy sources
  • Recommended for specific use cases

Attribution Gets Murky

When shoppers find products through AI but buy elsewhere, analytics tools can’t track the whole journey.

This creates two problems:

  • You can’t prove the ROI of AI search: Even if AI mentions are driving consideration, you’ll get zero or limited data on that. You won’t see the prompt the user asked or the response from the tool.
  • You can’t optimize what you can’t measure: When you don’t know how people are discovering you in AI answers, you can’t A/B test your way to better visibility. The feedback loop is broken.

Tools like Semrush’s AI SEO Toolkit are closing this gap by showing how your brand and competitors appear in AI search.

I used the tool to check the AI visibility and search performance for Vuori, an athleisure brand.

The brand has a score of 76 against the industry average of 82, and is frequently mentioned AND cited in AI responses.

Semrush – Vuori Clothing – AI Visibility

The toolkit also identifies specific prompts where your brand is mentioned or missing.

This makes it easy to spot exactly which type of queries are driving visibility and which represent missed opportunities.

For example, here’s a list of prompts where LLMs don’t feature Vuori, but do mention its competitors.

Semrush – Vuori Clothing – Topics & Sources

Go to the “Cited Sources” tab to find out the websites that LLMs most commonly refer to for your industry-related queries.

For Vuori, it’s sites like Reddit, Men’s Health, Forbes, and more.

Semrush – Vuori Clothing – Cited Sources

The “Source Opportunities” tab will give you a list of key sites that mention your competitors, but not you. These are sites you should aim to get your brand included on.

Besides tracking your own AI visibility, the AI SEO Toolkit also lets you monitor your competitors’ performance on AI platforms.

The “Competitor Research” report compares you to your biggest competitors in terms of overall AI visibility.

It also highlights topics and prompts where other brands are featured, but you aren’t.

Semrush AI SEO Competitor Research – Vuori Clothing

Learn more about how these tools can help you boost your visibility with our full Semrush AI SEO Toolkit guide.

Example of a Brand That’s Winning in AI Search: Caraway

If you want to see what winning in AI search actually looks like, look at the cookware brand, Caraway.

When you ask AI about the “best bakeware set” or the “best ceramic pans,” Caraway almost always makes the shortlist.

ChatGPT & Perplexity – Collage

Data from Semrush’s AI SEO Toolkit shows that Caraway also outweighs its biggest competitors in AI visibility.

Competitor Research – Caraway Home – AI Visibility

Let’s break down how Caraway built this advantage.

Showing Up Where LLMs Look

Caraway is frequently featured on publishers like Taste of Home, Good Housekeeping, and Food and Wine.

These are the actual sources LLMs cite when constructing answers about cookware-related queries.

ChatGPT – Top Ceramic Cookware Set Picks

For example, here’s a paragraph from the Food and Wine article ChatGPT cited as a source, which mentions the attributes ChatGPT used in its recommendation:

Food & Wine – Attributes ChatGPT used in its recommendation

Caraway also earns mentions through organic discussions on Reddit, Quora, and kitchen forums.

Reddit – Caraway search

Retailer Evidence That AI Can Cite

Caraway’s clean Amazon Brand Store and on-site product pages also make it easily citable.

These product listings and pages give LLMs concrete signals like:

  • Multiple in-stock SKUs with visible sales velocity (“500+ bought in the past month”)
  • Product rating and volume
  • Rich media files

These retailer PDPs become credible sources for verifying pricing, availability, or product specs.

Amazon – Caraway

Strong Affiliate Presence

Caraway also runs an affiliate program, and the brand makes it frictionless for publishers to feature its products through:

  • Affiliate networks: Links are available through major networks like Skimlinks and Sovrn/Commerce
  • Amazon compatibility: Editors can also use Amazon Associates links for Caraway’s stocked SKUs
  • Affiliate-safe pages: Product detail pages feature clean URLs, consistent pricing, and stock availability
  • Reviewer support: The brand provides an affiliate kit, including link types, banner ads, text links, and email copy

Caraway – Affiliate Perks

This all makes it easy for Caraway to work with influencers and other publishers to promote its products. And these publishers can then appear as citations when AI tools make their recommendations.

For example, all the highlighted sources in the ChatGPT conversation below contain Caraway affiliate links:

ChatGPT – Caraway – Affiliate links

Part of the Category Narrative

Many style media and mainstream outlets reference Caraway in their content.

Here’s a recent example from an Architectural Digest interview featuring the cookware set as an essential kitchen item.

Arhitectural Digest – Featuring the cookware

This creates more authority for the brand in the cookware and kitchen category.

Make AI Work for Your Ecommerce Brand

You now know how the game works and who’s winning. It’s your turn to play it.

But there’s a lot to do.

Making your site readable by LLMs, opmtimizing your structured data, and setting up automated product feeds are just stratching the surface.

Our comprehensive Ecommerce AIO Guide gives you alll of the actionable tactics to consistently show up in AI results.

The post How Ecommerce Brands Actually Get Discovered In AI Search appeared first on Backlinko.

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Schema Markup: Improve SEO & Search Rankings

If you’re serious about visibility in search, you need to start using schema markup. This structured data tells search engines exactly what your content means, not just what it says, so they can display richer, more accurate results.

Schema isn’t just about getting a fancy result in Google’s SERPs anymore. It also increases your chances of being cited in AI-generated summaries Search engines are moving toward generative results, and structured data is now a key signal of authority and clarity.

Key Takeaways

  • Schema markup is a type of structured data that helps search engines understand the meaning behind your content, not just the text itself.
  • Sites using SEO schema markup often see improved click-through rates. Users get more context directly in the results, which drives more clicks. 
  • Generative AI search tools now use structured data, which makes schema markup even more valuable for visibility.
  • Many websites still don’t fully implement schema, so using it correctly gives you an advantage over less-optimized competitors.

What is Schema Markup?

Schema markup is a form of structured data that tells search engines what your content means, not just what it says. It uses a standardized vocabulary from schema.org to label specific pieces of information, like an article’s author, a product’s price, or a recipe’s cooking time.

Schema.org's homepage.

Here’s an example of the end result of some schema in action, showcasing added details for a recipe:

Recipe schema for chicken soup recipe.

When you add schema to your HTML, it doesn’t change how your page looks to users, but it helps search engines interpret your content more accurately. That’s how you get things like star ratings, event dates, or FAQ dropdowns in SERPs.

Schema improves categorization by giving structure to information that would otherwise be unstructured or ambiguous. That extra clarity supports more precise indexing and increases your chances of appearing with rich results.

Most content online is considered unstructured data, which means it’s readable by humans but harder for machines to interpret. Schema adds structure that makes meaning explicit, bridging the gap between your content and how search engines understand it.

Types of Schema Markup

There are dozens of schema types, but only a handful consistently drive SEO value. The key is knowing which formats align with your goals and content structure. Here are the high-impact schema types you should focus on:

Schema markup types.

Commonly Used and SEO-Driven

  • Article: Use this for blog posts, news, or editorial content. It supports elements like headlines, bylines, and publication dates, helping your content stand out in organic results.
  • FAQ: Can make your page eligible for expandable Q&A boxes beneath your page title. A strong option for capturing more SERP space. FAQ schema works especially well on service or solution pages.
  • Product and Review: Must-haves for e-commerce. These display key details like price, availability, and customer ratings.
  • Local Business: Ideal for brick-and-mortar locations or service areas. It includes address, hours, contact info, and geo coordinates.
    Event: Showcases information for webinars, conferences, or in-person events like date, time, location, and ticket availability.
  • Breadcrumb: Enhances your site’s navigational trail in search results. It also helps search engines better understand your site’s structure.

Underutilized but High-Impact Schema Types

  • Video: Helps search engines surface and display videos with rich details like thumbnails, duration, and key moments.
  • Course: Designed for online education content. Includes fields for course name, description, provider, and learning outcomes.
  • Job Posting: If you’re listing open roles on your website, this schema can push them into Google Jobs with structured info like salary, qualifications, and deadlines.
  • Software Application: Highlights app features, pricing, platform compatibility, and reviews. Ideal for SaaS companies or digital products.

There are also industry-specific schema types for recipes, medical conditions, real estate listings, and more, each designed to help content stand out in competitive niches.

While most websites stick to just one or two schema types, combining them across relevant pages gives Google a clearer picture of your site and can increase eligibility for multiple rich result formats. 

Why is Schema Markup Important For SEO?

Schema markup doesn’t directly impact rankings, but it can improve how your pages appear in search by making your content easier for search engines to understand. When used correctly, it clarifies the structure and intent behind your content, which improves how your pages appear in search results.

With SEO schema markup, your listings can include extra context like star ratings, pricing, or FAQs, making them more informative and more likely to be clicked when rich results appear. These enhanced listings improve visibility and help searchers understand your content before visiting your site, which supports better engagement and user satisfaction.

Structured data also improves the user experience by giving searchers helpful, structured details before they even land on your site. This kind of clarity reduces bounce rates and increases engagement, which are both positive behavioral signals.

To be clear, Google has stated that structured data is not a direct ranking factor. But it can improve how your content is understood and discovered in search.

“Structured data is not used for ranking purposes, but it can enable search result enhancements and content discovery.” — Google Search Central

If you’re not using schema markup yet, you’re likely leaving visibility and traffic on the table, especially in crowded search spaces.

Schema Markup And AI

As search shifts toward generative results, schema markup becomes increasingly valuable, not as a ranking signal, but as structured clarity that helps machines interpret content consistently at scale. Tools like Google’s AI overviews, ChatGPT, and other large language models increasingly reference or infer structured relationships in your content. While schema markup isn’t directly parsed by every AI tool, it provides a framework that reinforces meaning, credibility, and context.

In Google’s case, schema can increase the chances of being featured or cited in AI-generated summaries by making your content more machine-readable. Clear, structured data helps Google understand which parts of your content are most relevant to a query, and that’s exactly what fuels AI-powered result boxes.

It also supports consistency across platforms, ensuring that search engines, crawlers, and third-party tools are all interpreting your information the same way. That’s critical in a landscape where content can be surfaced in snippets, carousels, voice results, and generative interfaces.

Search results for data pool vs data lake.

Source

As AI continues to reshape search behavior, structured data plays a critical role in making your content visible and machine-readable across evolving search experiences.

How to Create Schema Markup for SEO

There’s no single way to implement SEO schema markup. The right method depends on your setup, your tools, and how much control you want over the code.

Schema Markup Generators

Schema generators are great to help create your schema type so you don’t have to do it manually. They offer flexibility and control, especially if you want to create cleaner SEO schema markup using JSON-LD.

One great option is Dentsu’s Schema Markup Generator. It supports a wide range of schema types and gives you real-time previews of the structured data output.

Dentsu's Schema Markup Generator.

Another user-friendly pick is Schema.dev, which offers a visual editor for common schema types like Article, Product, Event, and more. It’s great for marketers who want more polish without touching raw code.

Schema.dev in action.

If you’re working on technical SEO at scale, tools like RankRanger’s generator or the Hall Analysis tool can help automate more advanced schema needs.

Rank Ranger's generator for schema.

Most of these tools will output JSON-LD code, which you can copy and paste directly into your website’s head tag or through a CMS plugin.

Build Schema Manually

For developers or SEOs who want full control, manually writing SEO schema markup in JSON-LD is the most flexible option. This approach is ideal when you need to nest data types, customize beyond what’s available in generators, or integrate schema into a templated CMS or headless setup.

The most common format for manual schema is JSON-LD, a lightweight data format that can be placed inside a <script type=”application/ld+json”> tag in your HTML.

Schema.org provides documentation and examples for hundreds of item types, including complex combinations like a Product with reviews, availability, and brand info.

While this method takes more effort, it allows you to fine-tune every field and ensure the markup perfectly matches your content structure.

If you’re confident in your technical skills or already working with structured templates, hand-coding schema can unlock the most advanced use cases.

Use WordPress Plugins

If your site runs on WordPress, adding SEO schema markup is straightforward with the right plugin, with no coding required.

Yoast SEO adds basic structured data out of the box, like Article, WebPage, and Organization schema. You can also set defaults for different post types or override schema per page.

Rank Math offers more flexibility with its built-in Schema Generator. It supports custom fields, nested schema, and additional types like Product, FAQ, and Course. You can add schema site-wide or build it block-by-block using their visual editor.

Rank Math's Schema Generator.

Source

Another option is the Schema & Structured Data for WP plugin, which offers advanced rule-based schema placement, support for over 30 types, and WooCommerce integration.

Most plugins handle the technical output for you, just select the schema type, fill out the fields, and publish.

Use ChatGPT

ChatGPT is a quick way to generate SEO schema markup without relying on a plugin or tool. It’s especially useful when you want structured data for a specific content type but don’t want to hand-code it from scratch.

Schema generated by ChatGPT.

To get started, just ask ChatGPT for the schema you need. For example:

“Create JSON-LD schema markup for a Product with name, price, rating, and availability.”

You can also refine the output by adding more context. Want to include an author bio? Just ask. Need multiple FAQs? List them out, and ChatGPT can format them for you.

The results are typically in valid JSON-LD format and can be copied into your site’s HTML or CMS. 

It’s not a replacement for technical SEO tools, but it’s a powerful shortcut when used with the right prompts.

Add Schema Markup to Your Site

Once you’ve created your SEO schema markup, you need to place it on your site where search engines can find it. The most common format is JSON-LD, which should be embedded inside a <script type=”application/ld+json”> tag.

If you’re working directly with code, add the schema to the <head> section of your page, or just before the closing </body> tag. This helps ensure it gets picked up by search crawlers.

If you’re using a CMS like WordPress, Shopify, or Wix, many themes or SEO plugins include fields where you can paste your structured data directly. Just copy your JSON-LD and drop it into the appropriate field.

As we mentioned before, plugin-based setups, tools like Rank Math or Yoast will often insert schema automatically based on your settings, with no manual copy-paste needed.

No matter the method, the goal is the same: get valid, clean schema markup live on your site.

Validate Your Schema

Before you publish any SEO schema markup, you need to validate it. Even small formatting issues can break how search engines read your structured data.

The best place to do this is validator.schema.org

You can either paste in your raw JSON-LD code or enter the URL of a published page. The tool will scan your markup and return any errors, warnings, or unsupported types.

Validator.schema.org in action.

Look for a “Valid” result nd ensure the schema type you used is recognized and correctly implemented. If there are issues, revise your code and re-test until everything passes.

You can also use Google’s Rich Results Test to see if your schema is eligible for enhanced SERP features.

Google's Rich Results Test.

Validation is a small step that ensures your markup actually works and gets you the visibility you’re aiming for.

Best Practices For SEO Schema Markup

To get the most out of your SEO schema markup, you need more than valid code. These best practices help ensure your structured data drives real visibility while staying within Google’s guidelines.

  • Only mark up visible, relevant content:
    • Don’t tag hidden elements, placeholder content, or anything users can’t actually see.
    • Schema should reflect what’s on the page. Misleading or hidden markup can get ignored or flagged.
  • Use the most specific schema type available:
    • Avoid generic markup. If your content is a recipe, use Recipe schema. If it’s a course, use Course schema. The more specific and accurate, the better.
  • Keep your structured data up to date:
    • Prices, dates, product availability, and other time-sensitive data should reflect the live content. Inaccurate schema can confuse search engines and users.
  • Avoid over-marking or spamming schema types:
    • Just because a schema exists doesn’t mean it belongs on your page. Only mark up what’s directly relevant and helpful to the user.

Accurate, helpful schema increases your chances of showing up in enhanced results. Misused or sloppy markup reduces trust and visibility.nd not content in hidden div’s or other hidden page elements.”

FAQs

What is schema markup?

Schema markup is a type of structured data that helps search engines understand the meaning of your content. It uses a shared vocabulary defined by schema.org to label key details like titles, authors, ratings, and more. When implemented correctly, it makes your content eligible for rich results, enhanced listings that display extra information directly in search.

What is schema markup SEO?

Schema markup SEO refers to the use of structured data as part of your overall search optimization strategy. While it doesn’t directly impact rankings, schema enhances how your pages appear in the SERPs. By making content easier to interpret and display, it supports better visibility, higher click-through rates, and alignment with user intent.

Does schema markup help SEO?

Yes, but not in the way most people expect. Schema doesn’t give you a direct ranking boost, but it improves how your pages are presented in search. Rich results stand out more, offer better context to users, and tend to earn more clicks. Schema can improve visibility and click-through rates, which can help your content attract more traffic over time.

Conclusion

Schema markup is one of those SEO techniques that helps to improve how your content appears in search results, yet it’s still underused. It helps search engines understand your pages more clearly, which leads to richer results, better visibility, and more clicks.

Whether you’re optimizing blog content, product listings, or service pages, structured data gives your site a clearer presence in search, and that matters in competitive markets.?

Read more at Read More

How to Choose a Digital Marketing Agency That Actually Delivers

You found a digital marketing agency that feels like the one.

The pitch was perfect. They “get” your goals. Their case studies are impressive.

But a few weeks later, reality starts to set in: slow responses, recycled strategies, and reports that don’t show any tangible results.

This scenario is painfully common, but it’s not inevitable.

Choosing an agency that performs as well as they sell is possible — if you know what to look for.

In this guide, I’ll cover:

  • Red flags that signal an agency might overpromise and underdeliver
  • Green flags that separate the great partners from the mediocre ones
  • Must-ask questions to help you spot these flags before you sign the contract

You’ll also get real-world advice from experienced marketing leaders who’ve seen both dream partnerships and nightmare contracts.

By the end, you’ll know exactly how to choose a digital marketing agency in 2026. One that drives results instead of draining your budget.

First up: Vital questions to ask before jumping into a partnership.

Before You Hire a Digital Marketing Agency, Ask These Questions

Finding the right agency starts with understanding what you need and why.

Do You Have Product-Market Fit and a Clear Target Audience?

Even the best agency can’t sell a product that doesn’t solve a real problem for a defined audience.

If product-market fit isn’t there, your results will stall.

Ask yourself:

  • What pain points do we solve?
  • Who’s willing to pay for this?
  • Who else is competing for this audience?

Use a market analysis tool like Semrush’s Market Overview to confirm there’s real, sustainable demand.

For example, a quick search for Purina pet food shows strong growth and evenly distributed traffic — a clear sign of opportunity.

Semrush – Market Overview – Summary

That’s the kind of demand signal you want before investing in outside help.

Do You Have a Clear Goal for Your Marketing Strategy?

A marketing agency can help you refine your goals.

But you’ll get better results when you already know what success looks like.

Vague goals like “increase website traffic” sound good, but they’re too broad to measure. Instead, set SMART goals — specific, measurable, achievable, relevant, and time-bound.

Smart Goals

Here’s what a SMART goal looks like in action:

“Generate 120 qualified demo requests per month within four months by improving landing page copy and optimizing Google Ads.”

Clear goals like this help you find the right agency. And give them a focus to rally around and drive results.

Do You Have the Bandwidth to Manage an Agency?

Working with an agency isn’t a set-it-and-forget-it kind of task.

Regular, consistent communication with your agency is part of this process.

Marketing Agency Commonication Loop

Sure, the level of autonomy will depend on the agency and the work.

But generally, the best agencies keep the door to conversation open.

Here’s what you can expect:

  • Provide materials and align on strategy and deliverables up front
  • Join weekly or biweekly check-ins (typically about an hour)
  • Review work and share feedback monthly

Pro tip: Assign one internal “agency owner.” Their job will be to keep decisions moving, share context fast, and unblock workflows.


Do You Know What Marketing Services You Need?

“Full-service marketing” sounds great. Until you realize you’re paying for tactics that get you nowhere.

There are many types of digital marketing agencies:

  • SEO and content: Drive organic growth through optimized content
  • PPC: Manage and optimize paid campaigns
  • Social media: Build brand awareness and affinity
  • Branding and design: Shape your visual identity and messaging
  • Video: Create video content that converts
  • Consultant: Help define priorities before execution

But before you pick one, identify what’s already working (and what’s not).

The more specific you are about your needs, the easier it is to find a partner whose strengths align with your goals.

Start by looking at your top-performing channels, campaigns, and content in analytics tools.

GA4 – Pages and Screen – Table

If content and partnerships drive results for you, that’s a hint about where to invest.

Next, check what’s working for your competitors.

For example, Semrush’s Organic Social tool reveals how your competitors generate traffic from social media.

Semrush – Organic Social – TCL & LG – Traffic Trend

And tells you exactly which platforms send the most traffic to their websites.

Semrush – Organic Social – TCL & LG – Top Sources

If others in your space are thriving on social while you’re not, that’s a clue to where you could expand.

Pro Tip: Before looking for an agency, ask yourself: Do I need strategy, execution, or both?


Is Your Internal Team Aligned on What You Need?

Clear goals mean nothing if your team isn’t aligned.

Without internal buy-in, even the best agency partnership can derail fast.

Marketing leader Eric Doty learned this the hard way.

After hiring an agency for a logo redesign (and spending weeks on revisions), leadership revealed they wanted to keep the full company name.

“In the end, we wasted around $15,000 on these iterations when all the company really wanted was to change the font.”


Avoid this by:

  • Defining who owns the agency relationship
  • Deciding who signs off on deliverables
  • Getting stakeholder input before work gets started

The 4 Quadrants of Marketing Agency Alignment

Once you’re aligned internally, you’re ready to align externally with your agency.

6 Red Flags That a Marketing Agency Will Waste Your Time (and Budget)

The sales call sounds great.

But how do you know whether the relationship will work long-term?

Don’t go in blind. Here are six warning signs and how to spot them.

1. They’re Not Willing to Invest Time in You

This isn’t something an agency will just come out and say directly. But there may be indications that they’ve currently got too much on their plate.

(And you’re about to be thrown onto the back burner.)

For one, look for a high amount of employee turnover. Employees leave when stress is high.

Check LinkedIn to learn about their employees and watch for downward growth trends.

LinkedIn – Company – Growth trends

You’ll also want to pay close attention to the discovery call.

If it’s all about them and nothing about you, that’s a sign they’re not taking the time to understand your business.

Calendly – Select a Date & Time

An agency that “yeses” you to death without adding ideas or offering pushback is another red flag.

They’re likely more focused on producing work as fast as possible than on providing a sustainable strategy.

Pro tip: Ask for a sample strategic recommendation on the call. Something lightweight like: “How would you improve our blog content?” The right agency will share high-level insights — not just a sales script.


And it’s never a good sign if they get defensive when you ask questions.

This can be an indicator that they’re not willing to invest time in the relationship.

Fractional CMO Amanda Milligan has had this experience.

Here’s her agency horror story:

I once hired an agency to help run paid social ads, and they did the absolute bare minimum. I had to point this out to get any attention, and by then, our three-month trial engagement was practically over, and we saw no results. While I don’t know for a fact it’s because we were on the lower end of their engagement value, it seems likely.


Looking at recent testimonials or mentions of the agency can help.

Recent testimonials

But sometimes, asking pointed questions is the best way to get an answer.

For example:

  • What’s your typical engagement type?
  • How long are your typical engagements?
  • How many clients does your team normally work with at once?

By asking these questions, you’ll get a better sense of the agency’s bandwidth.

2. Their Offerings Haven’t Evolved (or Have Evolved Too Much)

It’s no secret that marketing has evolved over the past few years.

And AI has only accelerated those changes.

So, if an agency hasn’t evolved its strategy to match the industry, it’s a sign they’re coasting on an outdated approach.

Want to find this out before the discovery call?

First, check the age of their case studies. Older case studies indicate a strategy that hasn’t changed.

Older case studies

Next, look at the wording on their services page.

If it sounds generic or dated, that’s a red flag.

In the example below, wording like “Taking over Google” is no longer fully relevant.

Plus, there’s no mention of local search or AI results.

(Which is odd, since they target local businesses.)

Pro tip: Trend chasing is another huge red flag. If you see a digital marketing agency that’s majorly pivoted without the data or case studies to back up those decisions, then you may want to steer clear.


Make sure they’re thinking ahead — not clinging to old playbooks — by asking:

  • How have your offerings changed in the past year?
  • How has your process changed since AI came on the scene?
  • How much does your team use AI when creating deliverables?
  • What’s your perspective on marketing in the AI era?

3. They Won’t Allow for a 30-Day-Out Clause

Agencies don’t want to get burned.

But you don’t want to get stuck in a relationship that’s not working.

Shorter contracts may not have an out clause. But if you’re getting ready to sign a contract for a year or more, and there’s no way out of that relationship, that could be a red flag.

SEO Services Agreement

For longer contracts, a 30-day out clause is typical. That means you both can leave the contract if things aren’t working out.

If you ask for this clause and the agency is pushing back hard, that’s a warning sign.

Amanda agrees:

No failsafe means the agency knows retention is a problem. And they may be more focused on cash flow than results.


Again, communicating clearly is important here.

When in doubt, ask the digital marketing agency these questions:

  • How have you handled failed campaigns in the past? Did you course-correct mid-campaign, or offer free revisions?
  • What barriers to success do you see with our engagement?
  • What’s your policy for a 30-day out in the contract?

4. Communication Isn’t Clear or Easy

The way your agency communicates during the discovery phase is a key indicator of how they’ll communicate once that contract is signed.

Here are some key warning signs you could see early in the process:

  • You have to chase them for updates or next steps: If getting in contact with the agency is hard before you sign the contract, don’t expect it to improve later on.
  • You can’t get clear answers to your questions: Asking about timeline, resources, and processes is normal. If they can’t give you straight answers to basic questions, beware.
  • You have no idea who you’ll be working with: It’s typical to talk to a salesperson or account manager in the early stages. But if you get pushback when asking to speak to the people you’ll be working with, that’s a red flag.

Chelsea Castle, head of brand and content at Close, experienced this firsthand.

Here’s her agency horror story:

One of my biggest career mistakes was not speaking up sooner and louder about yellow flags with an agency. From the initial meeting, something felt off in our communication. There were bumps and issues throughout the entire nine-month engagement. We didn’t love the output, and they weren’t doing things we suspected they should be doing.

Collaboration and communication were messy. We ended up firing this agency and losing the five figures spent on them, which left us with no completed work. Talk about a challenging conversation with your CEO!


To know more about communication before signing the contract, ask questions like:

  • Who’s my main point of contact with your agency?
  • Who’s going to be working on the project with me?
  • Who will be included in the check-in meetings?
  • At what points in the process do you track metrics to assess if we’re on the right track?

5. They Promise More Than They Can Reasonably Deliver

Overselling can lead to disaster down the road. But, how do you know if an agency is selling something they can’t deliver?

First, look at the language they use to describe their services or results.

If they make exaggerated claims or promises, it’s worth pausing.

For example, this agency’s website has red flags written all over it:

Website – Red flags

(I wish this were a made-up website, but it’s not.)

Claims like this sound great, but it’s important to take a step back and look at the facts.

  • Can they actually back up their claims with real examples?
  • Can they reasonably guarantee results without knowing anything about the potential client?

Danni Roseman, a brand manager at a SaaS company, hired an agency that promised the world but didn’t live up to expectations.

I assumed a team would handle our project. We later found out that only one person had the expertise we needed. It wasn’t enough. Deadlines slipped, quality dropped, and “edits” turned into full rewrites on our end. Hand-holding your agency isn’t part of the deal.


An agency that’s focused on revenue may sell more than the team is capable of doing, and you’re left with the aftermath.

Another side to this is whether the team has experience using or integrating with your tech stack.

Eric once worked with an email marketing agency that promised big things.

But ended up having no experience integrating with Microsoft Teams (a must-have for his company).

They decided to lead a procurement process for us to find a tool that integrated with Teams. This turned into a massively bloated project, when, really, they should’ve just told me from the get-go that they had no experience with this tool.


So, how do you make sure that what the sales team is offering can actually be delivered down the road?

First, ask pointed questions like:

  • Who on your team has experience working with the tools in our tech stack?
  • How much experience does your team have with these tools?
  • How many years of experience does the team have in this type of project?
  • What’s the project (within the type of service you’re looking for) that you enjoyed working on the most?
  • Can you give me some names of people I can talk to about your work?

Lastly, get references.

The sales team is going to say everything right. You need something solid to back up those claims.

Further reading: 12 Best SEO Tools


6. Their Process Is a Big Black Box

Most agency websites say some version of “We do X for Y.” But can they explain how?

This is something you can check for on their website.

For example, what do their case studies look like? Are they just screenshots, or do they explain the process behind the work?

Here’s an example:

Example of case studies

What looks impressive at first glance melts away when you realize these are just screenshots.

No discussion of the work, no explanation.

Here are some other warning signs to look out for:

  • Their process isn’t up for discussion: If an agency tells you anything along the lines of, “Trust us, we’ll handle it,” beware
  • They’re using the same templated strategies for every client: On the discovery call, are they bringing ideas to the table? Do they take your unique situation into account?
  • Their reporting is focused on big-number vanity metrics: Case studies with numbers are great. But do those numbers tell you a story of real impact?
  • They can’t explain why something worked: This could mean the team has little understanding of the mechanics behind the results

Email marketing services

If you’re not sure about their process, ask questions like:

  • How do you approach new engagements?
  • How much time do you spend determining strategy?
  • How is the strategy adjusted as time goes on?
  • How often will we meet for check-ins?
  • Can you tell me about a project you worked on (in this vertical/type) that didn’t go well? How did your team handle that situation?

When you’re evaluating an agency, Chelsea’s advice rings true:

Ultimately, I think the biggest flag cannot be said; it can only be felt. Intuition and how you connect with someone are crucial in selecting and building long-lasting external relationships.


6 Green Flags You’ve Found a High-Performing Marketing Agency

Despite the horror stories we’ve discussed, great agencies do exist.

Here are the most common green flags — and tips for choosing a digital marketing agency that will actually deliver on its promises.

1. They Start with Questions, Not Tactics

The right agency feels like a partner.

They’re curious about your business and invested in your success.

On the discovery call, look for all of these green flags:

  • They start by asking deep questions about your business model, ICP, positioning, and goals
  • They’re comfortable pushing back respectfully if a strategy doesn’t align with best practices
  • They focus on how their work ties to your business outcomes, not vanity metrics

For example, KlientBoost, a PPC agency, doesn’t just offer standard strategy packages.

They ask questions about what the client needs, their goals, and their situation.

KlientBoost – Pricing

This information lets them tailor quotes to each client’s needs.

2. You Get Good Feedback From Third Parties

Good feedback, testimonials, and reviews are always a green flag.

First, check vetted, third-party review sites like Clutch.

Look for reviews that mention:

  • Quality of the digital marketing agency’s work
  • Communication style
  • Costs
  • Timing

Clutch Inbox Army – Reviews

Some reviews even include specific numbers and results.

Clutch – Review example

Another way to get feedback is to ask your network.

Ask around in your favorite Slack communities and check on Reddit or LinkedIn.

You’ll learn who’s worked with this agency and what their impressions are.

Slack – Community impressions

Chelsea swears by using your network to find good agencies.

The best hires for me have almost always come through network referrals. When a trusted friend or colleague makes a recommendation, they’re risking their reputation to vouch for them. So you can be confident they’re worth your time.


What should you do if you don’t have any network recommendations?

Check out industry award winners, says Chelsea:

When I needed to hire a web design agency, I looked at Webflow’s Webby winners. While many great agencies don’t get awards like this, it was a sure bet to start my search by looking at those recognized in this credible, trustworthy way. I ended up finding a fantastic partner who was great to work with.


Within awards like Webby, you’ll find some incredible projects (and the agencies that made them happen).

Websites & Mobile Sites

Pro tip: Browse Semrush’s Agency Partner directory to find top agencies in your area and read real client reviews.

Semrush – Company list – US


3. The Full Team Will Be Involved in Communication

Knowing who’s involved in your project can help you have more confidence in the work being done.

Plus, if it’s easy to talk to the team before the project gets started, it’s a good sign that communication will be top-notch after the contract is signed as well.

Ask early on who will be on calls with your team.

If you find out it’s more than just one account manager, that means multiple people are invested in your engagement.

For example, check out this about page from content agency Beam:

Beam Content – Meet the team

You see the founders of this team.

But you also see the content producers and their social profiles. This level of transparency is a green flag.

4. They’re Transparent About Scope, Pricing, Timing, and How Work Gets Done

Your agency should be very clear about vital details upfront.

This includes:

  • The scope of the projects they do
  • Timing they can commit to
  • Any processes they use

For example, KlientBoost creates marketing plans for clients.

But even before you give them any information or sign up for a call, they show you a sneak peek of what a marketing plan looks like for their clients.

KlientBoost – Marketing plan

Another aspect of transparency is pricing.

Knowing what you’ll pay (and exactly what that cost includes) is essential to the project’s success.

That’s why some agencies, like A2Media, show their pricing right on their homepage:

A2Media – Pricing

Of course, not every agency lists its pricing publicly.

And there are plenty of different pricing structures, each with its pros and cons.

Black Propeller – Pricing structure

When talking about rates, ask the agency why they take the approach they do.

Get estimates for what each type of project entails.

If you’re comfortable with those ranges and estimates, include those in the contract.

When you can get clear answers to these questions, it’s a good sign they’ll live up to their promises.

5. Their Own Marketing Is Top Notch

When you find an agency you like, check out their marketing.

Most of the time, it’s a good indicator of the quality of their work.

In the past year, I’ve had two fantastic experiences with marketing agencies.

And both of them had one key aspect that was a huge green flag for me: their brand marketing was on point.

Take A2Media, for example.

The founder, Ademola, regularly produces video content on LinkedIn that generates strong engagement with his niche audience.

LinkedIn – Ademola – Video content

Another example is Beam.

They offer great content services to clients.

But they also produce fantastic content on their own website that’s both interesting and fun to read.

Beam – Interesting & fun content

This pattern repeats itself over and over again.

KlientBoost’s LinkedIn video ads aren’t only hilarious but also deeply relatable.

LinkedIn – KlientBoost's video ads

Juice, a brand and web agency, has an incredibly stylish and fun website.

Juice – Agency homepage

If they do great work for themselves, it’s a positive sign they’ll do great work for you.

6. Your Personalities Match

Yes, personality is subjective. And judging a marketing agency on “vibes” might sound a bit woo-woo.

But remember, this is a relationship. Hopefully, a long-term one.

So, the right agency should also match your style and get your vision.

Here are some green flags when it comes to personality match:

  • Their team seems genuinely excited about your product and mission
  • They treat your team members with respect, regardless of title
  • Their company culture aligns with yours
  • You enjoy working with them
  • They make collaboration energizing, not draining

Chelsea saw a personality match early on with a video agency, which gave her the confidence to move forward.

From the very first call, it just felt right. The agency owner and I instantly clicked and saw eye to eye on many things. He asked thoughtful, intentional questions that signaled respect, expertise, and a desire to find the best way to work together that prioritized me and my team. We’ve been working with this partner for more than a year, and have every intention of holding onto them for as long as we can.


Bonus: They Have Proven Expertise in Your Vertical

We’ve covered the most vital factors to evaluate when choosing a marketing agency partner.

But niche experience is worth considering, too.

While it’s not a necessity, it can be a really great bonus when combined with what we’ve discussed above.

For example, this agency focuses on dental practices:

Wonderist Agency – Dental marketing

While this agency focuses on marketing for law firms:

WEBRIS – Marketing for law firms

From just those two websites, it’s clear that their approach, strategy, and personality are very different.

And they’re each uniquely qualified to help clients in their chosen industry.

Other agencies may not have experience in your specific vertical. But they can demonstrate proven experience in the services you need.

For example, let’s say you want an agency that can help you show up in AI responses.

Then, you come across a case study like this:

Single Grain – Case studies

Obviously, this agency has adapted its services to include AI search.

And has proven expertise in exactly what you need.

Ready to Choose a Digital Marketing Agency? Trust the Patterns (and Your Gut)

Choosing the right marketing agency comes down to spotting patterns.

  • Red flags: Overpromising, poor communication, and teams that won’t invest time in your success
  • Green flags: Thoughtful questions, killer third-party reviews, and teams that practice what they preach

But don’t forget the value of your gut reaction.

If something feels off during discovery, it won’t magically disappear once the contract is signed.

The best agency relationships start with a genuine connection.

As Chelsea says, “In any kind of creative work, sometimes you really do just have to go off vibes.”

When you find a team that gets your vision, respects your goals, and makes collaboration energizing, that’s your signal to move forward.

Before you head into discovery calls, read 5 Crucial SEO Trends (and How to Adapt).

Understanding what’s happening in SEO will help you ask better questions. And spot whether agencies are using outdated tactics or staying ahead of the curve.

The post How to Choose a Digital Marketing Agency That Actually Delivers appeared first on Backlinko.

Read more at Read More

AI SEO Myths, Debunked: A No-BS Guide For Marketers

Marketers are making bold statements about AI SEO every day.

The problem?

Most of them are half-right at best.

“SEO is dead.”
“Long-form content is pointless.”
“AI SEO is just good SEO.”

Statements about AI SEO

Here’s the truth:

When it comes to AI, the answer is rarely that simple.

Are you trying to show up in ChatGPT or Google’s AI Overviews?

Do you want the AI to recommend your brand or cite your content?

Is the model pulling from training data or live web results?

Each of those questions has a different approach.

Trying to generalize only causes confusion.

So, let’s skip the hype and get specific.

This guide tests today’s biggest AI myths in SEO to uncover what’s true, what’s false, what’s complicated, and what all of it really means for your marketing strategy.

1. True or False: SEO Is Dead

False.

SEO still isn’t dead.

It’s just harder than it used to be.

This is where SEO is now

AI Overviews are stealing clicks.

Content volume has exploded.

And search behavior has fragmented.

Modern Search Journey

But that doesn’t mean SEO is dead.

What’s Actually Happening

The global SEO market is still growing at 16.7% a year.

SEO Industry Growth Projection

And Google Search itself continues to expand, according to Exploding Topics.

Google Daily Searches Growth

Also, so far it looks like AI tools are adding to search, not replacing it.

A Semrush study of 260 billion clicks found that Google usage stays steady — and even increases — after people start using ChatGPT.

Google usage stays steadyGoogle usage stays steady

That pattern makes sense when you think about how people actually use AI tools.

If you ask ChatGPT for “the best email marketing tools,” you’ll get a solid starting list.

But people often still return to Google afterward to compare pricing, read reviews, or see what others are saying.

Here’s the catch:

Sticking with traditional SEO alone is not a safe bet.

Semrush data predicts that, if current trends continue, AI search will overtake traditional search by 2028.

Google and LLM Unique Visitor Growth Projection (Moderate Case)

But even before AI went mainstream, people were searching beyond Google.

Back in 2022, Google data showed that about 40% of younger users preferred TikTok and Instagram for local searches.

Today, the search journey spans dozens of surfaces: Google, YouTube, TikTok, Reddit, Amazon, LinkedIn — and now, AI tools.

How People Search in 2025

SEO still drives discovery. It’s just one piece of a bigger visibility puzzle.

The future isn’t search engine optimization.

It’s search everywhere optimization — showing up wherever your audience looks for answers.

Takeaway: SEO isn’t dead. It’s diversified. Win by thinking beyond Google.


2. True or False: AI SEO Is Just Good SEO

True. And also false.

The fundamentals of SEO still matter.

But “just doing good SEO” won’t get you visibility in AI answers. That’s another AI myth.

What’s Actually Happening

Traditional SEO factors (metadata, structured HTML, schema markup, freshness) still help AI systems find your pages.

But AI answer engines trust what others say about you more than what’s on your own site.

AI analytics firm AirOps found that 85% of brand mentions in AI search come from third-party domains, not owned pages.

Off-Site Visibility in AI Search report

But that doesn’t mean on-site SEO no longer matters.

It’s the foundation of AI visibility.

AI engines are more likely to cite technically clean, current pages. They look for:

  • Metadata (title tags, meta descriptions, canonical tags)
  • Freshness signals (updated dates, last-modified tags)
  • Semantic HTML (clean heading hierarchy, proper use of <p> and <section>)
  • Schema markup

Side note: Google has confirmed that schema markup can help with AI visibility in its own products. It’s not a guarantee, but it’s smart technical hygiene. And it’s likely to become even more important as AI evolves.


That means your ranking foundation still matters, but it’s no longer enough.

AI visibility comes from combining:

  • On-site clarity: Technically optimized, easy-to-parse content
  • Off-site credibility: Brand associations built through mentions, citations, and expert recognition

Takeaway: SEO fundamentals get you indexed. Off-site authority gets you cited. AI SEO is about expanding what “optimization” means beyond your own site.


3. True or False: All AI SEO Works the Same

False.

Marketers talk about “showing up in AI answers” like it’s one game.

It’s not.

Google dominates the search landscape so much that traditional SEO is pretty unified — one platform, one algorithm, one analytics dashboard.

But there’s no single kind of AI visibility and no single playbook for earning it.

What’s Actually Happening

Every AI platform behaves slightly differently.

They draw from unique data pipelines, weigh off-site signals differently, and credit sources in their own ways.

For example, Google’s AI tools still echo its ranking system.

Originality.AI found that many Google AI Overviews come from the top 10 ranking pages.

Many Google AI Overviews come from the top 10 results

Other platforms look completely different.

Nearly 90% of ChatGPT citations come from pages ranked 21 or lower in Google.

Ranking Positions of LLM-Cited Search Results

But for brand mentions (answers that refer to your company), ranking seems to have more of an impact on ChatGPT.

Brands that rank on page one of Google show up more often in ChatGPT answers. Seer Interactive found a 0.65 correlation between high rankings and brand mentions.

Correlation of LLM Mentions by SERP Factor

In other words, if HubSpot ranks on page one for “CRM software,” ChatGPT is more likely to name it when users ask for the best CRMs.

Takeaway: Each platform plays by slightly different rules. Treat AI SEO like an ecosystem, not a checklist.


4. True or False: If You’re Cited by AI, You’ll Also Get Mentioned

Mostly false.

Mentions and citations aren’t the same thing — and one doesn’t guarantee the other.

  • Mentions = when your brand appears in the answer
  • Citations = when your content is trusted as a source

AI Search Visibility

You need both to stay visible long term.

What’s Actually Happening

If you had to choose, being mentioned matters more in the short term.

When someone asks ChatGPT for “the best CRM for small businesses,” you want your brand to show up, even without a link.

But long-term visibility compounds when you’re both seen and trusted.

Brands that are both mentioned and cited appear 40% more often in repeat AI searches, AirOps found.

Mentions Signal Staying Power

And that’s harder than you might think.

According to Semrush’s AI Visibility Index, fewer than 1 in 10 brands appear in AI answers as both mentioned and cited.

Semrush – AI Visibility Index Study – Source-Mention Overlap

Most only get one: they’re either mentioned without a link or cited without being named.

For instance, if I look up “What’s the best HR software for small businesses?” I get the following response from ChatGPT:

ChatGPT – Best HR software for small businesses

Of all the responses, only Rippling was mentioned as a good choice of software and cited as a source.

ChatGPT – Sources

Getting mentioned and cited consistently means playing a longer, smarter game.

To win both, you need to shape the way AI systems talk about your brand.

Earn mentions through off-site authority — PR, reviews, credible partnerships — and citations through trustworthy, reference-worthy content.

Takeaway: Mentions get you visibility. Citations earn you trust. You need both to last.


5. True or False: AI Engines Don’t Care About E-E-A-T

It’s complicated.

AI engines tend to cite pages that look trustworthy: clear sourcing, visible citations, and credible domains.

In other words, they look for the same things as Google’s quality control agents: experience, expertise, authoritativeness, trustworthiness (E-E-A-T).

What is E-E-A-T

It’s possible to get short-term wins with content optimized for large language models (LLMs) that skip traditional E-E-A-T.

But in the long term, trust signals still matter.

What’s Actually Happening

Google’s AI systems explicitly reference content quality and credibility when choosing what to cite.

Their guidance on “helpful, reliable, people-first content” directly ties to E-E-A-T.

How to appear in AI features


That means E-E-A-T signals still influence what gets surfaced in AI Overviews.

Outside Google, the pattern holds.

Different models vary, but most lean toward higher-quality, more credible domains.

For example, a 2025 study by PR platform Muck Rack found that 49% of AI citations came from trusted news outlets.

It’s not a formal E-E-A-T score, but it points in the same direction: engines reward credibility.

There are exceptions, though.

This may be because of the query fan-out process.

When AI engines use query fan-out, they break one question into many.

How LLM Query Fan-out Works

If a short page or definition answers a single sub-question directly, it might get pulled into that specific part of an AI answer.

Still, those are situational wins, not a replacement for authority.

And there’s more nuance here:

The Muck Rack study found that when questions got subjective — like asking for advice or step-by-step guidance — AI models pulled more from corporate blogs than authoritative news sources.

Muck Rack – Study

And SurferSEO also found that AI overviews often cite community sources like YouTube, Reddit, and Quora.

Top Domains Cited in AI Overviews

But, whether the LLMs are looking at official news sites, corporate blogs, or community sources, they consistently preferred credible content.

Credibility takes different forms. But AI systems pull from sources people trust most, whether institutional or experiential.

Clarity and organization make you easier to cite, but credibility will keep you there.

Plus, E-E-A-T keeps your content people-friendly as well as AI-friendly.

Takeaway: E-E-A-T still matters. It just needs to be paired with structured, clearly scoped content that AI systems can read and reuse.


6. True or False: Content Recency Matters Even More for AI Visibility

Mostly true.

Keeping content up to date has always been best-practice SEO.

And it’s also important for AI visibility on most of the public platforms.

But the relationship between freshness and visibility isn’t one-size-fits-all.

What’s Actually Happening

Seer Interactive found that nearly 65% of AI bot visits go to content published in the last 12 months.

Strong Content Recency Bias in LLMs

I checked this out for myself using ChatGPT. I asked the query:

How do I create an AI-optimized content strategy?


Then, I asked:

Can you show me the sources you used for that answer?


And it returned:

ChatGPT – Sourcesvwith Links & Dates

The earliest resource was from 2023.

(It didn’t find a date for the Airtable and RevvGrowth articles because they weren’t “visible in the header.”)

Finally, I asked why it chose those sources to answer the question.

It returned:

ChatGPT – Summary table

Note: It listed recency as its top criteria.


But there’s some variation in how important recency is.

Seer Interactive found that freshness matters most in fields like finance, HR, and tax, where outdated data loses credibility fast.

In travel, the window is broader.

Evergreen guides (“best destinations for weekend city breaks”) still perform, but regular updates help maintain visibility.

Travel Industry LLM Content Strategy

And in energy, for example, relevance often beats recency. Educational, evergreen pages (“green vs. renewable energy”) continue attracting AI hits years after publication.

Even instructional content in slow-moving niches can perform long after it’s published.

Seer found AI bots still visiting decking tutorials written 10–15 years ago — proof that quality evergreen content can still hold its ground.

Takeaway: Fresh content gets more bot activity. But credible, well-maintained evergreen pages still win trust. Especially when they’re the best answer for the human behind the query.


7. True Or False: Long-Form Content Is Pointless to Create Now

False.

Many marketers are making a simple mistake:

They hear “AI prefers short answers” and conclude “AI prefers short content.”

AI is more likely to use or cite content that is structured so it’s easy to understand.

But that’s not about length. That’s about structure.

What’s Actually Happening

AI systems don’t skip long pieces.

They skip messy pieces.

Content passages with clear headings helps models scan, interpret, and extract the right snippets.

There’s nothing to say your content needs to be short.

Example: Ask ChatGPT for “the best resources to learn SEO,” and you’ll often see Backlinko mentioned.

ChatGPT – Best resources to learn SEO

Those guides are deep, not brief.

They’re cited because they give a complete answer in a format both humans and models can follow.

Long-form content also compounds your odds of being mentioned.

AI visibility is a probability game.

The more your content earns human discussion, the more likely it is to appear when AI answers a question.

And humans don’t rave about shallow content.

People share and reference the pieces that teach them something new: frameworks, research, comparisons, stories.

Cutting them down for AI only strips out the context that makes your brand trustworthy.

Takeaway: Long-form isn’t outdated. It’s still a way to build authority, trust, and the kind of signal both readers and AI models rely on.


8. True or False: You Should Skip the ToFu Content Now

False.

This is one of the most persistent AI myths in content marketing.

“If AI answers everything, why bother with top-of-funnel (ToFu)?”

But ToFu content still matters. It just has a new job.

In the past, you could publish a big guide like “What Is SEO?” and watch it climb the rankings.

Those broad, educational posts drove traffic because people had to click through to learn.

Now, AI Overviews and large language models answer those same questions right on the results page.

Google SERP – What is SEO – AI Overview

But that doesn’t mean top-of-funnel content is dead.

It just means it’s working differently.

What’s Actually Happening

ToFu content isn’t the traffic engine it once was.

But it still powers two things your marketing ecosystem depends on: awareness and authority.

ToFu Builds Awareness

ToFu content helps new audiences discover your brand, even if they don’t click.

When someone searches “What is the best time to send marketing emails?” and sees your brand name in a featured snippet or short summary, that’s still visibility.

Google SERP – Best time to send marketing emails

It’s like a digital billboard.

People might not visit your site right away, but they’ll start to recognize your name the next time they see it.

The more consistently your brand shows up around key industry topics, the more familiar it feels to your future buyers.

That awareness pays off later when they’re comparing vendors or deciding who to trust.

ToFu Earns Credibility

Google and AI systems both reward depth of coverage.

They look for brands that explain an entire topic — not just their own product.

A Search Engine Land analysis of 8,000 AI citations found that AI systems repeatedly pull from in-depth, trusted sources, not surface-level articles.

If your site only has bottom-of-funnel pages like “Why Choose [Your Product],” algorithms see a narrow view.

But when you also publish foundational explainers and educational content, it shows that your brand understands the full landscape.

That matters for AI visibility too.

Takeaway: ToFU content strengthens your overall site signals. Even if ToFu posts don’t drive conversions, they reinforce your brand’s expertise across the funnel.


9. True Or False: You Should Publish 10x More Content with AI

False.

In theory, more content should mean more visibility.

In practice, that’s not what’s happening.

Teams feel pressure to publish faster because AI makes production easier.

But volume isn’t the same as reach.

Most scaled AI content dies in search before it ever earns authority.

What’s Actually Happening

Graphite, an AI growth agency, found that AI-generated articles overtook human-written ones in late 2024.

AI Content vs. Human

But growth has stalled since then.

Maybe because marketers have learned a simple truth:

Those posts rarely show up in Google results or AI citations, as Graphite’s research shows.

AI Content Image

AI content may be faster and cheaper, but it’s not being seen.

Publishing in bulk can give a brief traffic lift.

More indexed pages mean more impressions — for a moment.

But that growth rarely lasts.

Google’s March 2024 Core and Spam Updates cracked down on scaled content.

Google – Scaled content abuse

AI platforms seem to be taking the same approach. They reward original insight and authority, not sheer output.

Takeaway: If you want visibility in both Google and AI search, slow down and build credibility.


10. True or False: High-Quality Content Is All You Need to Appear in LLMs

It’s more complicated than that.

Many marketers assume that if they simply create great content, AI tools like ChatGPT, Perplexity, or Gemini will automatically surface it.

But “great” isn’t enough.

High-quality content is a requirement. It’s what gets your pages seen, crawled, and trusted in the first place.

But visibility in AI search depends on something bigger: how consistently your brand is referenced and recognized across the web.

What’s Actually Happening

LLMs generate responses using two data sources:

  • Training data: The static dataset the model was trained on months (or years) ago
  • The live web: Real-time crawling and retrieval from indexed pages, like Google AI Overviews or Perplexity

Each system rewards a different kind of visibility, and each treats “quality” in its own way.

Training-data systems reward brand association.

When a model relies on its training data, it draws on patterns it has already learned.

That includes which brands are consistently associated with which topics.

If your brand’s name and theme appear together across thousands of credible pages, that association becomes part of the model’s long-term memory.

For example, Canva is strongly associated with “simple design.” So, if you ask ChatGPT “What is the simplest design program?” it’s probably going to answer Canva.

ChatGPT – The simplest design program

That’s how brands build “semantic ownership” of an idea.

Over time, those associations become the model’s defaults, a durable moat that competitors can’t easily displace.

Quality still matters here.

It determines whether people read, share, and cite your work — the human behaviors that create the signals AI later learns from.

Meanwhile, web-indexed systems reward structure and authority.

When an AI system relies on live web data, the process looks more like search.

Models retrieve pages in real time, parse structure, and extract concise, factual snippets.

In this environment, “quality” means clarity, structure, and credibility.

For example, if someone asks an AI tool “best CRM software for small business,” the model pulls from pages that look like strong search results.

In this case, that would probably be list posts with clear headings, comparison tables, and trustworthy sources.

A messy blog without structure or citations wouldn’t make the cut.

Takeaway: High-quality content is your ticket in, not your winning hand. Authority, structure, relevancy, and consistent brand signals are what actually get you cited in LLM answers.


How to Level Up Your SEO Strategy for AI Visibility

You’ve seen the myths. You understand the reality.

Now, here’s what to actually do about it.

The good news? You don’t need to blow up your entire SEO strategy.

Most of what you’re already doing still works.

You just need to expand where you’re looking and what you’re measuring.

Start Measuring What You Can’t See

Your analytics are lying to you by omission.

When someone discovers your brand through ChatGPT and visits you three days later, it shows up as direct traffic or a branded search. Zero attribution to the AI mention that started the journey.

Claude – Traditional Google Search vs ChatGPT Response

So you’ll need to:

Track the indirect signals.

  • Rising branded searches while organic clicks decline? That could be LLM discovery.
  • Direct traffic holding steady despite fewer Google clicks? Same thing.
  • Sales calls where prospects say “found you through AI”? You’re getting cited.

Use dedicated AI tracking tools.

Options include Peek.ai and ZipTie.Dev. For more comprehensive features, Semrush Enterprise AIO is a good option, especially if you need full-funnel visibility and advanced reporting.

Semrush AIO – Backlinko – AIO Overview

Build Authority in Overlooked Spaces

Build authority in the long-tail spaces where AI systems are already mining for answers.

Pick one narrow topic and own it completely.

Not “email marketing” — think “email deliverability for SaaS companies sending 100K+ messages monthly.”

To understand the types of prompts your audience uses in LLMs, use the Semrush AI Visibility Toolkit.

It surfaces real prompts from a large database and organizes them by search intent.

Semrush – AI Visibility Toolkit – Backlinko – Your Performing Topics

Publish multiple angles: beginner guides, advanced tactics, case studies, and common mistakes.

When AI systems look for expertise on that specific topic, you want your brand to dominate the conversation.

Get Cited Where Your Competitors Already Are

LLMs pull from expert clusters: groups of authorities that consistently appear together.

Here’s how to join that circle:

  • Guest post strategically: Target sites that already cite your competitors in AI answers
  • Participate in expert roundups: Even without a backlink, these mentions feed the associative web that LLMs learn from
  • Show up in communities: A thoughtful Reddit comment or detailed LinkedIn post can carry citation weight

Reddit – Shared experience comment

Create Content Worth Citing

Be structured, not short.

Use clear headings that answer sub-questions directly.

Chunk each section so that it can stand alone.

Chunked vs. Unchunked Content

Maintain E-E-A-T signals. Experience, expertise, authoritativeness, and trustworthiness still matter, especially for Google’s AI tools.

Life at Home – IKEA – Microsite

But pair them with clearly scoped content that AI systems can easily read and reuse.

And keep it fresh. Update stats, examples, and screenshots regularly.

Google SERP – Inspirational quotes about running

Get Your Teams Working Together

Getting cited in AI answers is a team sport.

How to optimize your website for AI search

The foundation starts with three teams working in sync:

  • Developers make your site technically accessible — clean crawlability, proper structured data, fresh metadata
  • SEOs structure content so AI can extract it — clear heading hierarchies, scannable paragraphs, strategic schema markup
  • Content teams create information worth extracting — genuine expertise, original insights, regular updates

Further reading: Check out AI Optimization: How to Rank in AI Search for more on cross-functional strategy.


Let Your Community Build Your Authority

When customers share your insights in Reddit threads or LinkedIn comments, they’re creating citation pathways that AI systems discover and value.

Create frameworks and original research people want to reference.

Reddit – Answer questions & interactions

Show up where your audience hangs out.

Contribute genuine expertise in forums and communities.

Every thoughtful answer associates your brand with your core topics.

Don’t Abandon What’s Working

Organic search remains a primary traffic driver — about 44% of visits in the U.S. in Oct 2025, according to SE Ranking.

Organic – Social – AI traffic media

So it’s a good idea to keep up your best-practice on-page SEO habits.

Keep optimizing site structure. Fix technical issues. Build backlinks from credible domains.

Think of LLM optimization as an expansion strategy, not a replacement.

Focus on Influence, Not Just Traffic

Traditional SEO measurement focuses on clicks and conversions.

LLM visibility measurement focuses on influence created.

Track metrics that matter for long-term influence:

  • Visibility score changes across different LLM models
  • Branded search growth (the downstream effect of AI discovery)
  • Market share shifts vs. competitors in AI answers

Competitor Comparison – Brand Share of Voice over time

When you see visibility increases, correlate them with branded search spikes in Google Search Console (GSC) to estimate real business impact.

AI SEO: Trust Data Over Hype

LLMs are evolving fast. So are the rules that shape visibility.

That’s why myths about AI don’t hold up.

The truth is more nuanced.

So don’t chase every new “AI SEO hack.”

Follow marketers whose opinion you already trust.

Then test, track, and adapt based on what actually moves the needle for your brand.

Want to go deeper?

Check out our full AI Search Strategy Guide and learn how to get your brand both mentioned and cited.

The post AI SEO Myths, Debunked: A No-BS Guide For Marketers appeared first on Backlinko.

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Local SEO Citations: What They Are & How to Use Them

Forty-six percent of all Google searches have local intent. That means nearly half the time someone types something into the search bar, they’re looking for something nearby, like a dentist or a plumber.

If your business isn’t showing up in those results, you’re losing easy wins. That’s where local SEO citations come in. These are the digital breadcrumbs that help search engines (and customers) find and trust your business.

Citations aren’t just for maps and directories anymore. With the rise of AI Overviews and platforms like ChatGPT and Perplexity pulling from trusted sources, having accurate, widespread citations can increase your visibility across all forms of search.

In this post, I’ll break down what local citations are, why they matter more than ever, and how to build them the right way, without wasting time on low-value directories.

Key Takeaways

  • Local SEO citations are online mentions of your business’s name, address, and phone number (NAP).
  • Citations help search engines verify your business is real and improve your visibility in local search results.
  • Accurate, consistent citations across trusted platforms build authority and trust for both search engines and users.
  • AI tools like ChatGPT and Google’s AI Overviews often surface citation sources, making them more important than ever.
  • The best strategy focuses on quality over quantity. Start with high-authority directories and expand into niche platforms.
  • Tools like BrightLocal, Whitespark, and Semrush can help automate citation building and cleanup.

What Are Local Citations?

Local SEO citations are online mentions of your business’s name, address, and phone number, commonly known as NAP. You’ll usually see these on business directories, review sites, apps, maps, and social platforms.

These citations act as digital trust signals. When they’re consistent and accurate across multiple platforms, search engines see your business as more reliable, which can improve your visibility in local search results.

As an added note, AI tools like ChatGPT, Perplexity, and even Google’s own AI Overviews increasingly rely on structured business data from trusted citation sources.

You can create citations manually or through tools (more on that soon), but either way, you need to keep them updated and consistent across all listings.

Local Citation Types

There are two broad categories of citations: general or core platforms and industry-specific directories. Both serve a purpose. The key is knowing which ones your audience actually uses.

Google Business Profile is one of the most important citation sources. Complete your profile with hours, categories, photos, and reviews. It directly feeds into Google Maps and local pack rankings, making it a must-have.

A Google listing for the The Jolly Goat Coffee Bar.

Yelp is another top-tier directory. A well-optimized listing here adds authority and may drive referral traffic.

A Yelp Page for The Jolly Goat Coffee Bar.

Bing Places for Business works similarly to Google’s platform and is still worth claiming, especially if your audience includes older users or anyone in corporate environments where Bing is the default search engine.

Facebook Business Pages double as citations and engagement hubs. They show up in search and allow customer interaction.

A Facebook page for The Jolly Goat Coffee Bar.

Apple Business Connect is important because Siri and Apple Maps pulls this information. 

The Jolly Goat Coffee Bar on Apple Maps.

Niche platforms like OpenTable (restaurants), Avvo (legal), Zocdoc (medical), or TripAdvisor (travel) carry extra weight in their verticals and often convert better.

Local chambers of commerce, review platforms like Trustpilot, and neighborhood networks like Nextdoor also count as valuable citations when relevant.

How Local Citations Help SEO

Local citations do more than just increase visibility. They build trust and help search engines connect the dots between your business and the communities you serve. That’s foundational for strong local search marketing.

While exact percentages tied to citation impact aren’t publicly available for 2024, multiple sources still cite NAP consistency and citation volume as foundational local ranking factors. For example, SOCi reports that 80 percent of U.S. consumers search for a local business online at least weekly, and if your listings aren’t showing up accurately, you’re not in the running.

Citations also support E-E-A-T (experience, expertise, authority, trust), all key signals Google looks for when ranking local results.

A good starting point is generally 30 to 50 accurate, high-quality citations to build a strong foundation and establish a baseline. Depending on your industry and market size, you may need more.

Even one inaccurate listing can hurt trust and confuse Google’s local algorithms.

Local Citations and LLM Presence

Platforms like Google’s AI Overviews and large language models (LLMs) like ChatGPT, and Perplexity pull data from structured, verified sources. That means your business listings on sites like Google Business Profile, Yelp, Bing Places, and TripAdvisor may be referenced automatically, if the information is accurate and consistent. See the example below from ChatGPT:

Even addresses can pop up in the results if they are online for the tools to pull.

LLMs don’t crawl the web like Googlebot, but they rely heavily on trustworthy, indexed data. A clean citation profile gives your business a better shot at showing up in AI summaries, especially for local service queries.

If your listings are messy or missing key info, you risk being ignored altogether, even if you rank well in traditional search.

This is where citation building becomes a proactive strategy, not just a foundational one.

What is Local Citation Building?

SEO citation building is the process of actively creating and maintaining listings for your business across third-party sites, like directories, maps, review platforms, and social networks.

Think of it like digital plumbing. You’re creating multiple, consistent “pipes” that point back to your business, and every new, accurate citation helps search engines and AI tools understand who you are and where you operate.

Let’s say you run a boutique gym in Chicago. Citation building would involve creating or updating your listings on Google Business Profile, Yelp, Bing Places, Apple Maps, and niche platforms like ClassPass or Mindbody.

Google results for Boutique Gym in Chicago.

It’s not a one-and-done task. Building citations takes ongoing effort, especially if you move locations, change your phone number, or expand services.

Most businesses use citation-building tools to scale this process and stay organized. That’s what we’ll cover next.

Local Citation Building Platforms

SEO citation building can be time-consuming if you’re doing everything manually. That’s why many marketers rely on specialized tools to create, audit, and manage citations at scale.

Here are three platforms that can help simplify the process.

BrightLocal

BrightLocal's homepage.

BrightLocal is an all-in-one platform for managing local SEO. It includes tools for citation building, auditing, and cleanup.

You can submit your business info to 100+ general and niche directories, fix inconsistent listings, and remove duplicates, all from one dashboard. It also tracks your citation status over time, so you can see what’s live, pending, or missing.

One standout feature is its ability to prioritize directories based on your industry and location, helping you focus on what actually moves the needle.

Pricing starts at $39/month, with individual citation submissions available from $2 per site.

WhiteSpark

WhiteSpark's homepage.

Whitespark is best known for its Local Citation Finder, a tool that helps you discover where your competitors are listed and where your business is missing out.

You can run audits, track your existing citations, and build new ones through customized campaigns. The platform also includes tools for citation tracking, reporting, and outreach.

Whitespark offers both DIY tools and fully managed services, making it flexible depending on how hands-on you want to be.

A free version of the Citation Finder gives you basic data on one campaign. Paid plans start at $39/month, with custom citation-building services priced separately.

Semrush Listing Management

Semrush Listing Management's homepage.

Semrush Listing Management helps you distribute and manage your business info across key directories from a single dashboard. You can update your name, address, phone number, and other details in one place, and it syncs across dozens of platforms.

The tool also flags issues like duplicate listings or inconsistent NAP data, so you can fix errors that hurt your local SEO. You can monitor your presence on Google, Yelp, Apple Maps, and other places, while tracking how visibility changes over time.

A free scan gives you a snapshot of your current listings. Full access starts at $20/month per location.

Best Practices For Local Citation Building

Citation building isn’t hard, but doing it well takes attention to detail and long-term consistency.

  • Start by auditing your current listings. Tools like Moz or BrightLocal can help you identify missing profiles, duplicates, or inconsistent details. Then, focus on the most visible platforms: Google Business Profile, Yelp, Bing Places, Facebook, and Apple Business Connect are great starting points.
  • Claim and complete your profiles. Don’t stop at NAP. Fill in everything you can, including a business description, website URL,  product or service categories, attributes, hours, holiday hours, service areas, and anything else that gives customers and algorithms more context. Additionally, add high-quality photos to show customers your location, products, or services. 
  • Be obsessive about consistency. Even small discrepancies like “St.” vs. “Street” can confuse search engines. Keep your NAP exactly the same across every platform.
  • If you’re managing listings at scale, look for platforms that offer API access or bulk editing tools. It’ll save hours of manual work.
  • Build a tracking system to regularly check and re-verify your listings. Businesses move, hours change, and platforms update their guidelines, things can fall out of sync fast.
  • Finally, take cues from your competitors. If they’re ranking in the map pack and listed on a directory you’re missing, that’s a signal. Focus on quality over quantity, and prioritize directories relevant to your niche.

And don’t forget to support your citation strategy with strong local link building. The two go hand-in-hand when it comes to building local authority.

FAQs

What is local citation building?

Local citation building means creating and maintaining business listings across third-party platforms like Google, Yelp, and Facebook. These listings include your name, address, phone number (NAP), and other key details. Accurate, consistent citations help search engines validate your business and improve your local SEO.

What are local SEO citations?

Local SEO citations are online references to your business’s name, address, and phone number, even if there’s no link. You’ll usually find them on directories, review sites, apps, or social platforms. When these citations are consistent and appear on trusted sites, they improve your visibility and authority in local search.

How do local citations help SEO?

Citations tell search engines that your business is real, active, and relevant to a specific location. They also reinforce your trust signals and support local ranking factors like E-E-A-T (experience, expertise, authority, trust). Inconsistent or missing citations can lower your chances of showing up in map results or AI-generated summaries.

How does citation building impact a business’s online visibility and local search rankings?

The more accurate citations you have across trusted sources, the easier it is for search engines to connect your business to relevant searches. Citation building improves your local rankings, boosts discovery in maps and directories, and increases your credibility with searchers.

How to build local citations?

Start by auditing your existing listings with a tool like BrightLocal or Semrush. Then, claim and complete your profiles on top directories like Google Business Profile, Yelp, and Bing Places. For more tips, check the best practices section above.

What is NAP consistency?

NAP stands for name, address, and phone number. NAP consistency means keeping those details exactly the same across every platform. Even small mismatches can confuse search engines and hurt your rankings. Consistent NAP is also critical for voice search, map listings, and AI-generated search summaries.

Conclusion

Citation building is still one of the simplest and most reliable ways to improve your local visibility, especially with AI and LLMs reshaping how local results are delivered.

You don’t need to be on every directory. Focus on quality platforms, stay consistent, and treat your listings as an extension of your brand. Even a small number of trusted citations can make a measurable difference in your rankings.

If you’re managing listings across multiple locations or just don’t have time to keep things updated, working with a local SEO agency can take the heavy lifting off your plate. They’ll help you scale your strategy while avoiding common pitfalls.

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Instagram Marketing: Strategy Guide & Proven Tips for 2026

Instagram remains one of the most powerful platforms for growing a brand online.

With more than 2 billion active users, Instagram marketing has long been a must if you’re in fashion, beauty, fitness, food, travel, or ecommerce. But it’s not just for visual-first industries anymore. Service businesses and B2B brands are winning here, too.

The catch? You can’t just post and hope for the best. To succeed on Instagram, you need to post the right content to stay relevant to current followers while bringing in new ones.

To grow, you need a smart content strategy and an understanding of how the algorithm works.

This guide will walk you through proven Instagram marketing tips to help you attract followers and drive engagement.

Key Takeaways

  • Instagram marketing works best when it’s intentional. Know your audience, post with purpose, and build content that connects rather than just fills a feed.
  • Consistency beats frequency. Three to five quality posts a week, backed by Reels and Stories, is often enough to stay visible and relevant.
  • Short-form video drives discovery. Reels and Stories remain the fastest way to reach new audiences and spark engagement.
  • Engagement fuels the algorithm. Comments, saves, and shares can carry more weight than likes, so encourage interaction and conversation.
  • Authenticity wins. From influencer partnerships to user-generated content, real voices and experiences build more trust than polished ads.

What Is Instagram Marketing?

Instagram marketing uses the platform’s creative tools and community reach to help brands build genuine connections and grow their business. At its best, it blends storytelling with strategy, with visuals to pull people in and a message that keeps them interested.

That 1-2 punch should be present in everything from organic posts and Stories to paid ads, influencer partnerships, product tagging, and more. 

Glossier’s Instagram feed. The header shows the Glossier logo, 3.2 million followers, and bio text that reads “Skin first. Makeup second.™ Official Beauty Partner of the WNBA.” Highlight covers feature product categories like Holiday, CP Plush Blush, Skylight, Banana Pudding, and Lip Glaze.

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The payoff can be tremendous. After all, many of Instagram’s 2 billion users actually want to connect with businesses. More than 60 percent of those on Instagram use the platform to follow or research brands and products.

This makes Instagram a top channel for building brand awareness and showing off your products. It’s a platform for building real relationships with your audience.

You just need to know how to use it the right way.

Why Should Marketers Care About Instagram?

Instagram is now as much a discovery engine as it is a visual app.

Its audience spans every major demographic. Nearly 30 percent of users are 18 to 24, almost 32 percent are between 25 and 34, and engagement among users over 35 continues to grow. 

In other words, your customers are already scrolling here. 

What makes Instagram especially valuable is the intent behind that activity. Ninety percent of users follow at least one business on the platform. 

And many search for products and recommendations directly in-app. That mix of scale and buyer intent makes it one of the best social platforms for brand awareness and conversions alike.

But there’s a bigger reason marketers should care: Search is changing.

AI-powered search models like Google’s AI Overviews and ChatGPT are increasingly pulling content from social platforms like Instagram to understand what’s relevant and credible. That means your brand’s Instagram presence can also strengthen your broader SEO and “search everywhere” strategy.

Even if you’re not ready to run full campaigns, Instagram gives you real-time feedback on what resonates. Watch how your audience engages, and use those insights to shape smarter content across every channel.

Unique Instagram Features for Marketing

Instagram gives marketers a full toolbox, and knowing which tool to use can make all the difference.

  • Posts are your foundation. They’re where your brand identity lives. Think of them as the grid that tells your story at a glance. Static images, carousels, and graphics still perform well when they’re cohesive and recognizable. Think of your feed as your brand’s first impression.
  • Stories add the real-time connection. They disappear after 24 hours (unless added as a highlight) but consistently drive some of the highest engagement on the platform. Brands use them for behind-the-scenes content, polls, quick updates, or product drops. These types of content feel personal and urgent.
  • Reels are Instagram’s growth engine. Short-form video gets prioritized in the algorithm and can extend your reach far beyond followers. Brands like Gymshark and Duolingo use Reels to blend education, entertainment, and personality into discoverable content that quickly builds awareness.
  • Livestreams are about interaction. They let you talk directly to your audience, host Q&As, or spotlight a new launch. The immediacy builds trust in a way that pre-edited content can’t.
  • Instagram Shop turns discovery into purchase. With product tags, collections, and integrated checkout, followers can go from seeing your post to buying in seconds.

Used together, these features create a seamless customer journey: discover, engage, convert.

How to Get Your Brand Started on Instagram

This may all sound great in theory, but how do you actually start marketing your brand on Instagram? We’ve got you covered.

Zero In on Your Target Audience on Instagram

Before you post anything, get crystal clear on who you want to reach with your Instagram marketing strategy (and why you’re on the platform in the first place). A more focused audience makes everything else easier, from your content strategy and captions to your hashtags and ad targeting.

Start by defining your ideal customer: age, interests, behaviors, and what kind of content grabs their attention. Then look at where your brand overlaps with that. 

For example, Nike Running focuses on athletes chasing progress. 

Screenshot of the official Nike Running Instagram profile. The page shows the Nike Running logo in orange, with 6.1 million followers and 2,045 posts. The bio reads, “Don’t just run. Choose running. All-new Pegasus, Vomero, and Structure are out now. Beaverton, Oregon,” followed by a link to Nike Running’s site and a grid of images.

Glossier, on the other hand, speaks directly to beauty fans who love minimal, real-life aesthetics. 

Instagram post from Perfume & Diamond comparing four Glossier fragrances: Original, Doux, Rêve, and Fleur (labeled “NEW 2025”). Each bottle is shown side by side with its color gradient design and lists of scent notes. 

Both Nike and Glossier know exactly who they’re talking to, and it shows in everything they post.

When you understand your audience, you create relevance. And that’s the foundation of every successful Instagram marketing strategy.

Optimize Your Instagram Profile

Your Instagram profile is your brand’s first impression. 

A complete, well-structured profile is a little like a digital business card. It helps followers (and Instagram’s algorithm) understand who you are and why you’re worth following.

Start by switching to a Business or Creator account. It unlocks analytics, contact buttons, and access to Meta’s ad tools. You’re going to need all that if you want to grow strategically.

Then, fill out every available field. Add your profile photo (ideally a recognizable logo or product image), and write a bio that clearly communicates what your brand offers and who it’s for. Short, specific, and benefit-driven wins every time.

You’ll also want to make sure to include:

  • Contact information: Include your physical address, email address, and phone number so followers can contact you directly. When you include this contact information, Instagram automatically builds related buttons (Call, Get Directions, Email).
  • Category or categories: These groupings appear as circular topics under your name and are a simple way to showcase what your brand is about. Check out our page to see how we do it.
  • Call-to-action buttons: You can tailor your buttons to your business offerings (like Book Now or Order Food) to allow visitors to take specific actions, like making an appointment or booking a reservation. To incorporate these buttons into your profile, select Edit profile and tap Action buttons.
Neil Patel’s official Instagram profile. The page shows his verified account with 639K followers and 2,379 posts. His bio reads: “New York Times bestselling author. Top 100 entrepreneur under 30 by Obama. Top 10 marketer by Forbes. Co-founder of @npdigitalglobal.” Highlight icons include AnswerThePublic, Ubersuggest, NP Digital, and Ads Grader. The grid features Neil’s face in multiple posts.

Don’t skip the category tag under your name, either. It instantly tells visitors what industry you’re in. And if you have multiple offerings, use Story Highlights to organize them into quick-reference guides for new followers.

A complete profile signals professionalism, boosting the odds your content reaches the right audience.

Do Some Starter Keyword Research

You might associate keyword research mostly with Google, but it’s the foundation of visibility for Instagram marketing, too.

While the platform is built on visuals, discovery still happens through words—in captions, hashtags, and even alt text. That’s how Instagram decides what content to show in search and suggested feeds.

Start simple: Type topics related to your brand into the Instagram search bar. 

The auto-suggestions you see? Those are real queries your audience is making right now. Take note of recurring terms and relevant hashtags with active engagement.

Getting a sense for the language your audience uses and weaving it naturally into your posts is how you win. You’ll show up in more searches and connect with people looking for what you offer.

Start Posting High-Quality Content

What you post (particularly how it looks) and how often you show up matter just as much as what you say.

On Instagram, your visual identity is your brand voice. Keep the colors you use, the tone of your images, and your captions consistent. Your feed is basically a digital storefront. Every post should look like it belongs there.

Color psychology still plays a major role. Specific colors trigger an emotional reaction in the viewer. When selecting a color palette for your Instagram posts, choose hues that embody your brand’s identity and message.

Drybar, for example, uses a consistent yellow-accent theme across posts, reinforcing brand identity with visual consistency.

Drybar’s official Instagram grid. The feed features a bright, cohesive color palette centered on the brand’s signature yellow, accented with white and soft gray tones. Posts include product shots of hair tools and styling products, behind-the-scenes salon images, and upbeat quotes or tips framed in yellow.

Next, experiment with formats. 

Standard image posts build brand identity, while Reels boost reach. Stories help you stay top of mind with daily updates, and carousels are great for educational or step-by-step content. 

Your goal isn’t necessarily to use every format. It’s more important to focus on the ones that fit your brand’s style and message.

Then there’s timing. Consistency often beats volume. A predictable cadence (say, three to five posts per week) trains both the algorithm and your audience to expect you.

Finally, use hashtags and keywords strategically. Three to five specific, niche hashtags usually outperform generic ones. 

The same goes for captions. Natural language that your audience would search for is the way to go. Don’t get too wrapped up in buzzwords.

Remember: Every post reinforces who you are and why you matter to your audience.

Engage With Followers

Everyone wants to be heard, and your Instagram followers are no different. So, ensure they know you hear and appreciate them by liking their posts and replying to their comments.

Every comment, message, and tag is an opportunity to build trust. And trust fuels growth on Instagram.

Start by responding to comments and DMs quickly. It shows your audience there’s a real person behind the brand. You can also use interactive features like polls, Q&As, and emoji sliders in Stories to invite two-way conversations.

Example of the emoji slider feature on Instagram Stories. It asks the question, “Do you think Facebook is still relevant for businesses?” with a slider range starting at “Over It!” and ending at “Still here for it!”

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Don’t stop there. 

Reply to comments on your Reels, reshare user-generated content (UGC), and tag followers or partners when it fits naturally. 

Brands like Supergoop and Alo Yoga do this well. They answer questions in comments, repost community photos, and encourage followers to tag friends who’d love the product.

Supergoop leverages engagement-inviting posts to engage its audience. This post asks the question, “Which SPF are you choosing?”

(Image Source)

Today, engagement is as much about connection as it is visibility. The more you show up for your audience, the more likely they are to engage and keep you in their feed.

Track Your Analytics

Instagram has some pretty comprehensive analytics that lets you gain both a bird’s-eye view of your performance and a granular view.

Start with Instagram Insights, available for all Business and Creator accounts. You’ll see metrics like reach, impressions, profile visits, and website clicks. These tell you how far your content travels and how effectively your Instagram marketing efforts drive action.

  • Reach and Impressions: Show how many unique users saw your content and how often. A spike can signal that a post hit the right tone or format.
  • Engagement: Likes, comments, shares, saves, and Reels interactions show what truly resonates. Saves, in particular, are a sign of high-value content.
  • Conversions: Use UTM links or Meta Business Suite to track traffic, leads, and sales coming from your Instagram content or ads.

For deeper analysis, tools like Sprout Social, Later, or Hootsuite give you expanded reporting and trend tracking over time.

Don’t just collect data for the sake of collecting it. Put it to good use. 

If a certain post drives unusually high engagement, study the caption, image style, or timing. Apply those insights to your next batch of content.

Tracking consistently turns your strategy from guesswork into a growth engine.

Top Tips for Instagram Marketing

With billions of active users, Instagram is a major platform for businesses to market their products and services. However, it can be challenging to stand out from the crowd with so many brands vying for attention.

If you need help getting started, here are our top tips for marketing on Instagram.

1. Run Competitive Research

Even if you’re not currently using Instagram marketing as a strategy, your competitors most likely are. 

Start by identifying three to five brands in your niche with active accounts and solid engagement. 

Look at what and how often they’re posting and which formats (Reels, carousels, Stories) get the most traction. Notice the tone of their captions, how they respond to comments, and what hashtags they consistently use.

Tools like Sprout Social, Later, or even Instagram’s built-in dashboard can help you track competitor activity and spot trends over time.

2. Post Product Teasers That Will (Gently) Urge People to Buy

What if you could sell more products by posting product teasers on Instagram?

Well, you can.

Instagram is a great place to advertise your products. And if you play your cards right, you won’t annoy or scare users off with advertisements.

The trick is subtlety.

If you’re too pushy, followers will drop like flies. However, product teaser posts are a simple way to spark curiosity without looking like you’re trying too hard.

This works in almost any industry. For example, Starbucks teases its audience by promoting seasonal drinks with sharp imagery without trying to force people to buy them.

Instagram photo from Starbucks featuring a hand holding an iced gingerbread chai drink with the caption “and it’s just an iced gingerbread chai.

When you tease products people are interested in and don’t push them into buying anything, they’ll be more likely to pull the trigger and buy something.

If not, they might at least engage with your post by liking it, commenting on it, or sharing it with a friend. 

A good product teaser shows just enough to make people want more. Use strong visuals or behind-the-scenes clips to highlight what makes your product unique without spelling everything out.

So, don’t be afraid to show off the goods by posting product photos. Just do it gently. 

3. Practice Instagram SEO to Optimize Your Posts

Instagram has quietly become a search engine of its own. Besides scrolling, people search for content, products, and creators using keywords, hashtags, and topics. 

That’s where Instagram SEO comes in.

Start by weaving the keywords you found earlier into your captions, alt text, and on-screen text in Reels. Instagram now indexes these areas, which means using natural, descriptive language helps your content show up in relevant searches.

Your username, display name, and bio also play a role. Make sure they clearly reflect your brand and niche. For example, “@JessiesVeganBakery” will always outrank “@JVBakes” for a user searching “vegan bakery.”

Avoid keyword stuffing, but do post with intent. If your audience can search it, say it.

4. Create Sponsored Ads

Instagram ads give brands the reach and precision targeting to get in front of exactly the right audience, even if they don’t follow you yet.

Using Ads Manager, you can run campaigns across feed posts, Reels, and Stories, each tailored to different goals like awareness, traffic, or conversions. Reel ads in particular perform well right now, thanks to high engagement and seamless integration into organic content.

A social media ad example for a brand called "luckyshrub" showing images of a woman with houseplants and several potted plants. Overlaid is a blue and white chart labeled "Audiences."

 You can start small by boosting your top-performing posts to test which visuals and messages resonate most. 

Once you see what works, scale those efforts with targeted campaigns using custom or lookalike audiences.

Focus on clean visuals, short captions, and strong calls to action that feel natural in the feed. 

And don’t forget your analytics. Performance data from your ads is a goldmine for refining your content and organic strategy.

5. Use Instagram Reels and Stories

Short-form video is how audiences consume content today.

Reels help you get discovered. They’re Instagram’s most visible format, with strong algorithmic push and viral potential. Use them in your Instagram marketing strategy to educate, entertain, or inspire. Quick how-tos, behind-the-scenes clips, or shareable tips work especially well.

Stories keep your audience close. They disappear fast, which makes them perfect for time-sensitive content like product launches, polls, or limited-time offers.

Image alt text: An image of Instagram highlighting where stories can be found. Instagram marketing tips.
3 examples of Instagram stories

The key to success is consistency and repurposing. A single short video can live as a Reel, a Story, a YouTube Short, and even a LinkedIn post. 

Keep videos under 30 seconds, add captions for sound-off viewing, and use on-screen text or stickers to guide attention.

6. Partner With Influencers for a Wider Reach

The fastest way to reach potential customers on Instagram is through influencers who already have a large following.

Many people will buy services or products based on what they see in their feeds from the influential people they follow. They trust them.

Start small with your influencer marketing efforts. 

You don’t need a celebrity or a million followers to make an impact. Nano- or micro-influencers (creators with smaller but more engaged audiences), for example, can be effective because their recommendations feel personal and real.

For instance, La Croix runs campaigns with micro-influencers who post genuine lifestyle content using their product. These smaller creators drive engaged, niche audiences.

Micro-influencer Hannah Picchi stands in front of a wallpapered wall with large floral prints, posing with peace signs in both hands. She’s wearing a pink “La Croix” T-shirt.

The first step is identifying a few influencers with an audience relevant to your product or service. Look for creators who genuinely align with your brand values and audience.

Study how they engage. Are followers commenting, saving, and sharing? That’s the kind of credibility you want to borrow.

Once you’ve found a match, build a relationship, not a one-off post. Offer creative freedom so influencers can present your product in their own voice. That authenticity performs better than scripted ads.

7. Come Up With an Interactive Branded Hashtag

If you want instant engagement, interactive hashtags are a great way to get it.

Customers can then use the tag to post user-generated content. This allows users to search through all posts relating to your brand.

It also lets you easily search through images you might want to consider reposting on your page.

Creating a hashtag that your company (and other users) can search for is essentially free advertising.

Whenever someone posts a photo using the tag, they expose your company to their followers.

Campaigns like #ShotOniPhone (Apple), which has netted more than 31 million posts, show how branded hashtags can extend far beyond a single promotion. 

Instagram hashtag page for #shotoniphone. The grid shows a variety of popular photos and videos, including a cityscape with the London Eye, a white dog in a car, and a Highland cow in a misty field.

They create recognition and give fans a sense of belonging.

8. Post at The Right Times (and Don’t Over-Post)

Posting at the right time on Instagram matters. However, over-posting is a surefire way to turn off your existing followers.

If all they see is your brand on their news feed, they will probably unfollow you as fast as possible.

However, you want to post consistently to stay in their news feed regularly. One of the best ways to do this is to only post during peak days and hours when your followers are online.

Recent studies from Later and Sprout Social all point to a similar pattern: Engagement peaks mid-morning to early afternoon, Tuesday through Thursday.

Specifically, Later’s 2025 data shows strong performance between 7–9 a.m. and 11 a.m.–1 p.m., while Sprout Social finds Tuesdays to Thursdays, 11 a.m.–6 p.m. to be the sweet spot.

That said, those are benchmarks, not rules. Use Instagram Insights to see when your followers are most active and schedule posts accordingly.

Aim for three to five posts per week, focusing on quality and rhythm. If you’ve got more to share, batch content into carousels or Stories instead of pushing out multiple posts in a row.

Consistency beats frequency every time. Post when it matters, not just because you can.

9. Use User-Generated Content

People trust people more than brands. That’s why user-generated content is one of the most powerful tools in Instagram marketing.

When customers post real photos or videos of your product, they’re giving you social proof money can’t buy. Reposting that content on your feed or Stories builds community and credibility (and helps fill your content calendar).

To encourage UGC, ask followers to share how they use your product with a branded hashtag or tag your account directly. Feature their posts regularly and give credit in captions or Stories. That recognition goes a long way.

Brands like GoPro built entire communities on UGC, turning their customers into ambassadors. 

A GoPro Instagram post showing a dog taking a selfie-style photo in a grassy field with three other dogs behind it. Example of user-generated content (UGC).

Even smaller brands can replicate GoPro’s approach. All it takes is a clear ask and consistent engagement.

10. Build Strong Captions

A great photo or Reel grabs attention, but your caption keeps it.

Captions are where your brand voice comes through. They add context, personality, and a reason for people to engage. The best captions feel natural, not scripted. 

Write like you’re talking to a friend, not broadcasting to a crowd.

Start with a strong first line. It’s what shows before the “See more” cutoff. Use it to spark emotion or action. Then add value: Tell a quick story or ask a question that invites responses.

Short captions (under 125 characters) tend to perform better for quick-scrolling users, but don’t be afraid of longer ones when you’re telling a meaningful story. Just keep the tone consistent and conversational.

End with a clear next step—a question, call-to-action, or tag—to turn engagement into connection.

On Instagram, your visuals stop the scroll, but your captions build the relationship.

11. Got Products In Your Content? Tag Them

Instagram marketing has evolved into a full shopping experience, where users can tap a tag, view pricing and details, and buy directly from your post or via your website. 

That’s frictionless marketing.

Dolce Vita Instagram Shop product page featuring the “Alenna Heels Midnight Crinkle Patent.”

Product tags help your content reach new customers through Instagram’s Shop tab, search, and recommendations, and they also make it easier to track conversions from your posts.

You can tag products in photos, carousels, Reels, and even Stories, linking them to your catalog in Commerce Manager. When paired with influencer or creator posts, product tags create a powerful, connected path from discovery to purchase.

Tagging products turns your organic content into a storefront. 

12. Understand the Instagram Algorithm

Instagram’s algorithm decides what content gets seen, and it’s smarter than ever.

At its core, the algorithm rewards relevance and interaction. It looks at how users behave—what they like, comment on, save, and share—then prioritizes similar content in their feed, Stories, and Reels tabs.

The biggest ranking signals are:

  • Engagement quality: Saves, shares, and comments weigh more than likes.
  • Consistency: Accounts that post regularly stay visible.
  • Relationships: Content from people or brands users interact with most appears first.
  • Format variety: Using Reels, Stories, and carousels helps signal an active, valuable account.

To work with the algorithm, focus on genuine engagement over volume. Encourage conversation, use relevant hashtags and keywords, and post when your audience is most active.

13. Keep Track of New Updates and Features

Instagram never stops evolving.

The biggest changes on the platform revolve around AI and personalization. 

Instagram is testing AI content recommendations that surface posts based on visual themes, tone, and engagement signals, not just hashtags. That means smart captioning, keyword use, and audience insights are more important than ever.

You’ll also see new tools for creators and brands, like AI-generated captions and image editing, expanded product tagging for Reels, and enhanced analytics dashboards that show cross-platform performance.

The platform’s Creator marketplace has also expanded, making influencer partnerships easier to manage directly within Instagram. That’s a huge win for brands running multiple campaigns.

The key is to experiment early. Every new feature gives you a short-term visibility boost while competitors lag behind. Keep an eye on the Meta for Business blog or @creators account. Both regularly preview what’s coming next.

FAQs

What is Instagram marketing?

Instagram marketing is the use of the platform’s tools, features, and content formats to build awareness, connect with customers, and drive sales. It includes everything from organic content (photos, Reels, and Stories) to paid campaigns, influencer partnerships, and user-generated content.

How do I market on Instagram?

Whether you’re a global brand or a local small business, Instagram gives you space to grow your audience and drive real results. Here’s where to start:

Boost what’s working: Promote high-performing posts to reach more of your target audience.

Switch to a Business or Creator account: This unlocks analytics, ads, and call-to-action buttons.

Optimize your profile: Include a clear bio, branded visuals, and a link to your site or store.

Start posting consistently: Mix images, Reels, and Stories to see what connects best.

Engage your community: Respond to comments, run polls, and encourage user-generated content.

Is Instagram marketing effective?

Instagram marketing can be incredibly effective when done correctly. Instagram remains one of the highest-performing social platforms for engagement and return on investment (ROI). According to Sprout Social’s 2025 report, 29 percent of consumers make purchases on Instagram, and Instagram came in second at 22 percent of marketers reporting it as the highest-ROI social channel.

Conclusion

While wading into the world of social media marketing may seem overwhelming, employing these Instagram marketing tips makes your descent simple.

As you grow your following and interact with your target audience, be sure to keep an eye on your metrics. Look at what’s available from the app itself and those from external platforms like Google Analytics.

From there, double down on what works and adjust quickly when things change, because they always do.
If you need help scaling, consider partnering with Instagram marketing agencies that specialize in strategy, content, and growth.

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I Tested 11 AI Search Engines: Only These 4 Made the Cut

Ask the same question in 11 AI search engines, and you’ll get 11 different answers.

Sometimes wildly different.

Some engines focus on visuals and shoppable results. Others go deep into research. A few just try to get you an answer, fast.

Each platform prioritizes and presents it differently.

And those differences matter.

Not just for users, but for brands trying to get discovered in AI search.

So, I tested popular and lesser-known AI engines on accuracy, depth, user experience, and other factors.

Only four made the cut.

In this guide, you’ll learn which AI search engines came out on top, including pros, cons, and pricing. I’ll also share which engines didn’t make my list, and why.

Along the way, you’ll get a few tips on using these insights to improve your AI visibility.

Start with a quick overview of my findings below. Or jump straight to the #1 AI search engine on my list: ChatGPT.

What Are the Best AI Search Engines?

Tool Best for Pros Cons Price
ChatGPT Comprehensive research and shoppable product comparisons Visual layout with tables and images; remembers context across follow-ups; direct purchase links Overwhelming results for broad queries; accuracy issues; overly agreeable Free or $20+/month
Google AI Mode Quick product searches with real buyer reviews Fast product results with pricing and reviews; integrates Google ecosystem Vague on informational queries; no comparison tables; unavailable in some regions Free
Sigma Chat (Formerly Bagoodex) Research deep dives that build on previous questions Strong conversational memory; suggests follow-up questions; content creation prompts Weak product presentation; no pricing or buy links; poor visuals Free or $10+/month
Microsoft Copilot Fast answers in clean, skimmable formats Clean categorization; fast responses; easy to skim Surface-level depth; no product links; weak for shopping Free

How I Tested 11 AI Search Engines

To keep things consistent, I ran the same set of prompts across 11 AI search tools.

Note: For this article, I defined “AI search engine” as any generative AI platform that can understand queries, pull information from sources, and deliver answers in natural language.


This included big names like ChatGPT, AI Mode, and Perplexity.

And newer players like Arc, Andi, and Sigma Chat.

Andi Search – How long do running shoes last

I focused on one topic (running shoes) and tested a range of prompts across different search intents.

This showed how well each engine handled the full customer journey, from research to shopping.

This included:

  • “Best running shoes”: Assesses top-level recommendations and how each engine handles broad prompts
  • “Best running shoes for beginner marathon training”: Evaluates personalization and context handling as the prompt narrows
  • “How long do running shoes last?”: Gauges accuracy on general product knowledge and durability expectations
  • “Of the trainers you’ve recommended, which ones will last the longest?”: Tests the accuracy of product details and the engine’s ability to remember details from previous prompts
  • “Can I wear any of these running shoes recommended for hiking?”: Assesses how each AI handles reasoning, real-world nuance, and potential safety considerations

ChatGPT – Shoes for hiking

I evaluated each tool on five factors:

  • Accuracy: Did it understand the intent and get the facts right?
  • Depth: Did it add helpful context or just summarize existing content?
  • Transparency: Did it credit or link to its sources?
  • User experience: Was the output fast, skimmable, and well-organized?
  • Adaptability: Could it handle follow-up questions naturally or refine vague prompts?

After testing all 11 AI search engines, these four stood out as the best for different reasons.

1. ChatGPT

Best for comprehensive research and shoppable product comparisons

ChatGPT – Homepage

ChatGPT came out on top overall.

It delivered the best balance of accuracy, organization, and depth. Plus, it showed an “understanding” of search intent and included helpful visuals.

What ChatGPT Does Well

ChatGPT provides detailed, well-formatted answers.

This is true whether you’re comparing products, researching topics, or looking for a step-by-step tutorial.

ChatGPT – Best running shoes

It also remembers context across follow-up questions.

I started with a broad prompt and added specifics as the conversation progressed. ChatGPT remembered key details without making me repeat myself.

For shopping queries, the visual presentation stood out.

When I searched for running shoes, for example, ChatGPT returned products with images, prices, reviews, and short descriptions.

It also included links to retailers and external articles. This made verifying product details and purchasing easy.

ChatGPT – Links to external articles

The summary tables were particularly useful.

After inquiring about shoe lifespan, ChatGPT delivered a clean comparison table with products and their expected mileage.

ChatGPT – Summary Table – Running shoes

For brands: ChatGPT’s visual layout isn’t just useful for shoppers. If you’re trying to get your brand referenced by AI search engines, it also reveals what these models prioritize. Use tables, clear specs, and organized categories on your product pages to help both shoppers and AI find your information faster.


ChatGPT is also evolving quickly.

Features like Instant Checkout (currently limited to select Etsy sellers in the United States) let users complete purchases directly inside the chat.

ChatGPT – Full shoping destination

Great for shoppers — and even greater for the brands featured in ChatGPT’s recommendations.

Where ChatGPT Falls Short

When I tested ChatGPT, I got what most people want from AI search: answers that feel confident and complete.

But not every response was perfect.

Broad prompts, such as “Best running shoes,” resulted in lengthy lists of brands, product categories, and features.

The information took real effort to digest.

ChatGPT – Top picks by category – Running shoes

Specific prompts worked much better.

I also noticed minor inaccuracies in some instances, like when I asked about shoe lifespan.

After fact-checking the replies, some details didn’t match the manufacturer’s specifications.

For example, ChatGPT said the Brooks Ghost running shoe has a lifespan of 450 to 500 miles. But the actual range is 300 to 500 miles.

ChatGPT – The longest lasting trainers

This also highlights a larger problem.

ChatGPT pulls information from multiple sources, such as blog posts and brand sites.

But it also relies on forums like Quora and Reddit, where users share personal experiences.

Reddit – Relies on forums

It then aggregates the information into its responses. This can lead to inaccurate and misleading information.

For brands: Provide clear answers to common user questions on your site. Otherwise, AI search engines may turn to other, potentially inaccurate sources for this information. Add tables with specifications, be explicit about ranges and measurements, and use structured data so AI can extract and cite your product information correctly.


ChatGPT also tends to be overly agreeable.

Whatever you prompt, ChatGPT will lean toward flattery and agreement — even when it involves safety.

For example, when I asked, “Can I wear any of these running shoes recommended for hiking?”

ChatGPT’s response was:

“Good question 👍 — you can hike in road running shoes, but whether it’s a good idea depends on the terrain and how far you’re going.”


Not the worst.

But not as good as other AI search engines in this aspect, like AI Mode, which was more cautious.

AI Mode said:

“It is not recommended to use the road running shoes previously mentioned for hiking…they lack the key features that provide the necessary grip, protection, and stability for off-road trails. Using them for hiking could lead to injury.”


Overall, ChatGPT is fast, detailed, and helpful.

But it can be too generous with information — and too polite to push back.

Pricing

ChatGPT – Pricing

ChatGPT offers three plans based on your needs.

  • Free: Limited access to some features
  • Plus: $20/month
  • Pro: $200/month for extended features

2. Google AI Mode

Best for quick product searches with real buyer reviews

Google AI Mode – Homepage

Google’s AI Mode is built for speed.

It pulls product listings, prices, and reviews directly into the search interface. This makes it ideal for shoppers who want to quickly compare products before purchasing.

What AI Mode Does Well

AI Mode shines when you have clear buying intent.

It instantly surfaces product options with images, prices, star ratings, and quick links to retailers. And it’s all in a clean, scrollable layout.

Google AI Mode – Best running shoes

When I searched “best running shoes,” it showed a curated carousel of options with price comparisons across multiple sites.

Google AI Mode – Open drop down on the right

I especially liked how it paired Google Reviews with its recommendations — a small detail that makes decision-making faster and builds trust.

Google AI Mode – Google reviews & recommendations

For me, that worked perfectly.

Getting straight to the products moved me faster toward a decision.

But some users may prefer more background or context for researching and weighing options. ChatGPT’s research-style answers still win in this regard.

For brands: AI Mode pulls heavily from Google Reviews and structured product data. Focus on getting detailed, positive reviews and keeping your product schema markup up to date. These signals can influence whether your products appear in AI-generated results.


Where AI Mode Falls Short

AI Mode is not yet available in all countries, although it’s rolling out quickly.

And unlike ChatGPT, it didn’t provide any comparison tables for any of my prompts. Just products and bullet points.

This meant more scrolling and clicking to find and digest the information.

Google AI Mode – Bullet points

This was evident when I asked which of the recommended shoes would last the longest.

AI Mode’s response was vague and unhelpful. It said the Brooks Ghost shoe was “exceptionally long-lasting.”

It didn’t provide any of the specifics that would make me want to purchase this shoe. Like mileage range and how it differed between the options.

Google AI Mode – Listings on the left

If you’re early in the evaluation phase, AI Mode can feel limiting.

But it delivers when you want a shortlist of top contenders.

Pricing

AI Mode is available for free within Google Search, depending on your region.

3. Sigma Chat (Formerly Bagoodex)

Best for research deep dives that build on previous questions

Sigma Chat – Homepage

Sigma Chat’s iterative search and in-depth replies are excellent if you love to research.

Ask a question, get an answer, then drill deeper into related topics — and it remembers the full thread.

Note: Bagoodex launched in 2024 and has since rebranded as Sigma Chat. For this review, I tested it against the standard modes of other tools. ChatGPT’s Thinking mode and Perplexity’s Research mode are designed for deep research and may perform differently.


What Sigma Chat Does Well

Sigma Chat stood out for its ability to build on previous context.

When I asked follow-up questions, it remembered what I’d already searched and adjusted its answers accordingly.

No need to repeat myself or reframe the entire query.

For example, after I asked which of the recommended shoes would last the longest, it specifically referenced “marathons.”

(Even though I hadn’t mentioned this criterion again after the initial prompt.)

Sigma Chat – Build on previous context

Sigma Chat’s follow-up suggestions also stood out for their potential to aid deep research.

Instead of ending with one answer, it nudged me toward related questions I hadn’t considered:

  • Beginner running shoes fitting
  • Marathon training schedule
  • Foot pronation assessment

Sigma Chat – Follow upsv

Sigma Chat anticipates knowledge gaps and identifies adjacent topics worth exploring.

This makes it particularly helpful for any kind of research, whether you’re comparing products, building content outlines, or researching niches.

Sigma Chat – Foot pronation

For brands: Sigma Chat rewards depth and topic clustering. To increase visibility in AI tools like this, build content hubs around your main topics — link related pages together and cover every sub-question your audience might ask. The more complete your coverage, the easier it is for AI to surface your site in deep research queries.


Another interesting feature of this AI search engine?

It suggests prompts tailored to content creation. This is especially helpful if you’re using it for marketing purposes.

After providing search results for the best running shoes for a marathon, it offered unexpected options like:

  • “Write a blog post about this topic”
  • “Create an image on this topic”

I tested the blog prompt, and it generated a quick draft titled “Marathon Training on a Budget: Choosing Durable Running Shoes.”

It wasn’t something you’d publish as-is, but it was a decent starting point.

If you’re prone to writer’s block or need to quickly draft comparison content around competitor products, it’s a particularly helpful feature.

Sigma Chat – Blog prompt

From there, it suggested additional prompts like “Add a call to action” and “Shorten for social media.”

This makes it easy for marketers to generate content for multiple platforms at once.

Sigma Chat – Suggested additional prompts

Where Sigma Chat Falls Short

Sigma Chat’s presentation still needs work.

When I searched “best running shoes,” it opened with generic photos pulled from listicles.

This is a wasted use of prime real estate — they could’ve shown real products or reviews to provide more value.

Sigma Chat – Best running shoes

There are also no pricing details, reviews, or direct purchasing links.

But Sigma Chat does cite its sources.

In fact, it cited the same comparison article multiple times. (Helpful for that site’s traffic, not so helpful for someone ready to purchase.)

Sigma Chat – Cite sources

Unless Sigma Chat improves its commercial functionality, it’s unlikely shoppers will use it.

Instead, it might carve out a niche for itself as a deep research tool.

Pricing

Sigma Chat – Pricing

Sigma Chat offers a few plans with varying access and features:

  • Free: Basic search and chat capabilities
  • SigmaChat Plus: $10/month for increased access
  • SigmaChat Pro: $75/month for unlimited access

4. Microsoft Copilot

Best for fast answers in clean, skimmable formats

Microsoft Copilot – Homepage

Microsoft Copilot has the cleanest layout of any AI search engine I tested.

It’s fast, structured, and organized. Perfect for people who want distraction-free takeaways.

What Microsoft Copilot Does Well

When you ask Copilot a question, it responds instantly with skimmable categories, bullet points, and emojis.

For example, when I searched “best running shoes,” it broke recommendations into helpful categories:

  • “Best overall”
  • “Best stability shoe”
  • “Best daily trainer”

Copilot Microsoft – Best running shoes

When I narrowed the query to “best running shoes for beginner marathon training,” Copilot further refined the results.

It added details about who each shoe was best for, making the advice more actionable — a nice touch for a tool focused on clarity.

Copilot Microsoft – More actionable advice

Even for informational queries like “can I wear these for hiking,” Copilot delivered a simple breakdown.

And added specific scenarios where running shoes would and wouldn’t be ideal for hiking.

Copilot Microsoft – Simple breakdown

When you want fast, direct answers without having to sift through a bunch of content, Copilot is a great option.

For brands: Pay close attention to how Copilot structures its answers — categories, comparisons, “best for” labels. Use similar formatting on your own pages to help AI tools extract and present your content more effectively.


Where Microsoft Copilot Falls Short

Copilot’s polished format comes at a cost: depth and shoppability.

Its responses are tidy but often too surface-level — especially for commercial searches like “best running shoes.”

When I tested this prompt, it didn’t link directly to any product pages or show pricing.

So, I couldn’t easily comparison shop, verify information, or choose a merchant and purchase immediately.

Instead, it summarized content from other “best” listicles and linked those sources.

Copilot Microsoft – Don't link directly & no pricing

Like Sigma Chat, unless Microsoft improves its shoppability, it’s unlikely consumers will use it for this purpose.

Instead, Copilot works better as a light research tool — especially when you want fast information with minimal reading.

Pricing

Microsoft Copilot is free to use.

AI Search Engines That Didn’t Make the Cut (and Why)

All of these AI search engines had their pros and cons.

But overall, they fell short for different reasons.

Claude

I really liked Claude, but the output was very similar to ChatGPT.

This isn’t a problem, but I didn’t want to list tools that were similar in functionality.

I wanted to provide only the best.

Compared to ChatGPT, Claude lacked product links and visuals:

Claude – Lacks product links & visuals

The wall of text made the information challenging to process.

I did like the categorization, but ChatGPT does this too — with tables that are easier to skim.

Perplexity

Like Claude, Perplexity came somewhat close to ChatGPT in overall performance.

When asked a prompt with buying intent, it provided a short summary along with product images, pricing, and star ratings.

No tables to help me quickly compare features and options, though.

Perplexity – Best running shoes

The summary was also fairly generic.

And didn’t feel all that tailored to my prompt, even when I used the more specific “marathon” wording.

Perplexity – Running shoes – Generic summary

Brave

Brave, a privacy-focused AI search engine, felt too much like traditional search.

Brave – Best running shoes – Ask

It features long lists of articles without any clear hierarchy or comparison features.

While this might be helpful for browsing links, it doesn’t summarize much or help you make quick decisions.

Andi

Andi, a minimal AI search tool, offered few results, sometimes just one (e.g., a single Reddit thread).

Andi Search – Best running shoes

It’s a bit like the “I’m Feeling Lucky” button on Google. Simple to use but extremely limiting for in-depth research or shopping.

Arc

Arc, a mobile- and browser-based AI search engine, requires a download to use.

Arc – Search

This is inconvenient compared to browser-based AI search.

When so many other options exist, it’s hard to justify using this AI engine for this reason alone.

You

You is a solid AI search engine that has been around for multiple years.

You – Best running shoes

But it was slow to respond and didn’t link to products in commercial searches.

Ultimately, I found it less useful than the other AI tools overall.

What This Means for Your AI Search Visibility

After testing 11 AI search engines, one thing became clear.

No matter how their formatting or preferences differ, the goal remains the same: to serve clear, credible, and well-structured content.

If your pages do that — with comprehensive coverage, positive reviews, and clean markup — you’ll be positioned to perform well across all AI search engines and LLMs.

Want to make that happen?

Our generative engine optimization (GEO) guide shows how to structure your site, earn more citations, and track your AI visibility.

The post I Tested 11 AI Search Engines: Only These 4 Made the Cut appeared first on Backlinko.

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From slow to super fast: how to boost site speed the right way

Did you know that even a one-second delay in page loading speed can cause up to 11% fewer page views? That’s right, you might have the best content strategy and a solid plan to drive traffic, but visitors won’t stay long if your site lags. Page speed is one of the biggest factors in keeping users engaged and converting.

In this guide, we’ll uncover the most common causes of slow websites and explore proven ways to boost website performance. Whether your site feels sluggish or you simply want to make it faster, these insights will help you identify what’s holding it back and how to fix it.

Key takeaways

  • Page speed significantly affects user experience and conversion rates, with even minor delays leading to increased bounce rates
  • Improving website performance involves optimizing hosting, reducing file sizes, and enhancing code quality
  • Fast-loading sites rank better on Google, as page speed is a critical ranking factor, especially for mobile searches
  • Key metrics to monitor include Largest Contentful Paint, Interaction to Next Paint, and Cumulative Layout Shift
  • Use tools like Google PageSpeed Insights and WebPageTest to measure and diagnose performance issues effectively

What do we mean by ‘website performance’ and why is it important for you?

Website performance is all about how efficiently your site loads and responds when someone visits it. It’s not just about how fast a page appears; it’s about how smoothly users can interact with your content across devices, browsers, and locations. In simple terms, it’s the overall quality of your site’s experience that should feel fast, responsive, and effortless to use.

When your page loading speed is optimized, you’re not only improving the user experience but also setting the foundation for long-term website performance.

Here’s why it matters for every website owner:

Fast-loading sites have higher conversion rates and lower bounce rates

Attention spans are notoriously short. As the internet gets faster, they’re getting shorter still. Numerous studies have found a clear link between the time it takes a page to load and the percentage of visitors who become impatient while waiting.

By offering a fast site, you encourage your visitors to stay longer. Not to mention, you’re helping them complete their checkout journey more quickly. That helps improve your conversion rate and build trust and brand loyalty. Think of all the times you’ve been cursing the screen because you had to wait for a page to load or were running in circles because the user experience was atrocious. It happens so often, don’t be that site.

A fast page improves user experience

Google understands that the time it takes for a page to load is vital to the overall user experience. Waiting for content to appear, the inability to interact with a page, and even noticing delays create friction.

That friction costs time, money, and your visitor’s experience. Research shows that the level of stress from waiting for slow mobile results can be more stressful than watching a horror movie. Surely not, you say? That’s what the fine folks at Ericsson Research found a few years back.

Ericsson Mobility Report MWC Edition, February 2016

Improving your site speed across the board means making people happy. They’ll enjoy using your site, make more purchases, and return more frequently. This means that Google will view your site as a great search result because you are delivering high-quality content. Eventually, you might get a nice ranking boost.

Frustration hurts your users and hurts your rankings

It’s not just Google – research from every corner of the web on all aspects of consumer behavior shows that speed has a significant impact on outcomes.

  • Nearly 70% of consumers say that page speed impacts their willingness to buy (unbounce)
  • 20% of users abandon their cart if the transaction process is too slow (radware.com)
  • The BBC found that they lost an additional 10% of users for every additional second their site took to load

These costs and site abandonment happen because users dislike being frustrated. Poor experiences lead them to leave, visit other websites, and switch to competitors. Google easily tracks these behaviors (through bounces back to search engine results pages, short visits, and other signals) and is a strong indicator that the page shouldn’t be ranking where it is.

Google needs fast sites

Speed isn’t only good for users – it’s good for Google, too. Slow websites are often inefficient. They may load too many large files, haven’t optimized their media, or fail to utilize modern technologies to serve their page. That means that Google has to consume more bandwidth, allocate more resources, and spend more money.

Across the whole web, every millisecond they can save, and every byte they don’t have to process, adds up quickly. And quite often, simple changes to configuration, processes, or code can make websites much faster with no drawbacks. That may be why Google is so vocal about its education on performance.

A faster web is better for users and significantly reduces Google’s operating costs. Either way, that means that they’re going to continue rewarding fast(er) sites.

Improving page speed helps to improve crawling for search engines

Modern sites are incredibly wieldy, and untangling that mess can make a big difference. The larger your site is, the greater the impact page speed optimizations will have. That not only impacts user experience and conversion rates but also affects crawl budget and crawl rate.

When a Googlebot comes around and crawls your webpage, it crawls the HTML file. Any resources referenced in the file, like images, CSS, and JavaScript, will be fetched separately. The more files you have and the heavier they are, the longer it will take for the Googlebot to go through them.

On the flip side, the more time Google spends on crawling a page and its files, the less time and resources Google has to dedicate to other pages. That means Google may miss out on other important pages and content on your site.

Optimizing your website and content for speed will provide a good user experience for your visitors and help Googlebots better crawl your site. They can come around more often and accomplish more.

Page speed is a ranking factor

Google has repeatedly said that a fast site helps you rank better. It’s no surprise, then, that Google has been measuring the speed of your site and using that information in its ranking algorithms since 2010.

In 2018, Google launched the so-called ‘Speed Update,’ making page speed a ranking factor for mobile searches. Google emphasized that it would only affect the slowest sites and that fast sites would not receive a boost; however, they are evaluating website performance across the board.

In 2021, Google announced the page experience algorithm update, demonstrating that page speed and user experience are intertwined. Core Web Vitals clearly state that speed is an essential ranking factor. The update also gave site owners metrics and standards to work with.

Of course, Google still wants to serve searchers the most relevant information, even if the page experience is somewhat lacking. Creating high-quality content remains the most effective way to achieve a high ranking. However, Google also states that page experience signals become more important when many pages with relevant content compete for visibility in the search results.

Google mobile-first index

Another significant factor in page speed for ranking is Google’s mobile-first approach to indexing content. That means Google uses the mobile version of your pages for indexing and ranking. This approach makes sense as we increasingly rely on mobile devices to access the internet. In recent research, Semrush found out that 66% of all website visits come from mobile devices.

To compete for a spot in the search results, your mobile page needs to meet Core Web Vitals standards and other page experience signals. And this is not easy at all. Pages on mobile take longer to load compared to their desktop counterparts, while attention span stays the same. People might be more patient on mobile devices, but not significantly so.

Take a look at some statistics:

  • The average website loading time is 2.5 seconds on desktop and 8.6 seconds on mobile, based on an analysis of the top 100 web pages worldwide (tooltester)
  • The average mobile web page takes 15.3 seconds to load (thinkwithgoogle)
  • On average, webpages on mobile take 70.9% longer to load than on desktop (tooltester)
  • A loading speed of 10 seconds increases the probability of a mobile site visitor bouncing by 123% compared to a one-second loading speed (thinkwithgoogle)

All the more reasons to optimize your website and content if your goal is to win a spot in the SERP.

Understanding the web page loading process

When you click a link or type a URL and press Enter, your browser initiates a series of steps to load the web page. It might seem like magic, but behind the scenes, there’s a lot happening in just a few seconds. Understanding this process can help you see what affects your page loading speed and what you can do to boost website performance.

The “one second timeline” from Google’s site speed documentation

The process of loading a page can be divided into three key stages:

Network stage

This is where the connection begins. When someone visits your site, their browser looks up your domain name and connects to your server. This process, known as DNS lookup and TCP connection, enables data to travel between your website and the visitor’s device.

You don’t have much direct control over this stage, but technologies like content delivery networks (CDNs) and smart routing can make a big difference, especially if you serve visitors from around the world. For local websites, optimizing your hosting setup can still help improve overall page loading speed.

Server response stage

Once the connection is established, the visitor’s browser sends a request to your server asking for the web page and its content. This is when your server processes that request and sends back the necessary files.

The quality of your hosting, server configuration, and even your website’s theme or plugins all influence how quickly your server responds. A slow response is one of the most common issues with slow websites, so investing in a solid hosting environment is crucial if you want to boost your website’s performance.

One popular choice is Bluehost, which offers reliable infrastructure, SSD storage, and built-in CDN support, making it a go-to hosting solution for many website owners.

Browser rendering stage

Now it’s time for the browser to put everything together. It retrieves data from your server and begins displaying it by loading images, processing CSS and JavaScript, and rendering all visible elements.

Browsers typically load content in order, starting with what’s visible at the top (above the fold) and then proceeding down the page. That’s why optimizing the content at the top helps users interact with your site sooner. Even if the entire page isn’t fully loaded yet, a quick initial render can make it feel fast and keep users engaged.

Key causes that are causing your website to slow down

While you can’t control the quality of your visitors’ internet connection, most slow website issues come from within your own setup. Let’s examine the key areas that may be hindering your site’s performance and explore how to address them to enhance your website’s performance.

Your hosting service

Your hosting plays a big role in your website’s performance because it’s where your site lives. The speed and stability of your host determine how quickly your site responds to visitors. Factors such as server configuration, uptime, and infrastructure all impact this performance.

Choosing a reliable host eliminates one major factor that affects speed optimization. Bluehost, for example, offers robust servers, reliable uptime, and built-in performance tools, making it a go-to hosting choice for anyone serious about speed and stability.

Your website theme

Themes define how your website looks and feels, but they also impact its loading speed. Some themes are designed with clean, lightweight code that’s optimized for performance, while others are heavy with animations and complex design elements. To boost website performance, opt for a theme that prioritizes simplicity, efficiency, and clean coding.

Large file size

From your HTML and CSS files to heavy JavaScript, large file sizes can slow down your website. Modern websites often rely heavily on JavaScript for dynamic effects, but overusing it can cause your pages to load slowly, especially on mobile devices. Reducing file sizes, compressing assets, and minimizing unnecessary scripts can significantly improve the perceived speed of your pages.

Badly written code

Poorly optimized code can cause a range of issues, from JavaScript errors to broken layouts. Messy or redundant code makes it harder for browsers to load your site efficiently. Cleaning up your code and ensuring it’s well-structured helps improve both performance and maintainability.

Images and videos

Unoptimized images and large video files are among the biggest causes of slow websites. Heavy media files increase your page weight, which directly impacts loading times. If your header image or hero banner is too large, it can delay the appearance of the main content. Optimizing your media files through compression, resizing, and Image SEO can dramatically improve your website’s speed.

Too many plugins and widgets

Plugins are what make WordPress so flexible, but adding too many can slow down your site. Each plugin adds extra code that your browser needs to process. Unused or outdated plugins can also conflict with your theme or other extensions, further reducing performance. Audit your plugins regularly and only keep the ones that truly add value.

Absence of a CDN

A content delivery network (CDN) helps your website load faster for users worldwide. It stores copies of your site’s static content, such as images and CSS files, across multiple servers located in different regions. This means that users access your site from the nearest available server, reducing loading time. If your audience is global, using a CDN is one of the easiest ways to boost website performance.

Redirects

Redirects are useful for managing URLs and maintaining SEO, but too many can slow down your site. Each redirect adds an extra step before reaching the final page. While a few redirects won’t hurt, long redirect chains can significantly affect performance. Whenever possible, try to link directly to the final URL to maintain consistent page loading speed.

For WordPress users, the redirect manager feature in Yoast SEO Premium makes handling URL changes effortless and performance-friendly. You can pick from redirect types such as 301, 302, 307, 410, and 451 right from the dashboard. Since server-side redirects tend to load faster than PHP-based ones, Yoast lets you choose the type your stack supports, allowing you to avoid slow website causes and boost website performance.

A smarter analysis in Yoast SEO Premium

Yoast SEO Premium has a smart content analysis that helps you take your content to the next level!

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How to measure page speed and diagnose performance issues

Before you can improve your website performance, you need to know how well (or poorly) your pages are performing. Measuring your page speed helps you identify what’s slowing down your website and provides a direction for optimization.

What is page speed, really?

Page speed refers to how quickly your website’s content loads and becomes usable. But it’s not as simple as saying, ‘My website loads in 4 seconds.’ Think of it as how fast a visitor can start interacting with your site.

A page might appear to load quickly, but still feel slow if buttons, videos, or images take time to respond. That’s why website performance isn’t defined by one single metric — it’s about the overall user experience.

Did you know?

There is a difference between page speed and site speed. Page speed measures how fast a single page loads, while site speed reflects your website’s overall performance. Since every page behaves differently, measuring site speed is a more challenging task. Simply put, if most pages on your website perform well in terms of Core Web Vitals, it is considered fast.

Core metrics that define website performance

Core Web Vitals are Google’s standard for evaluating how real users experience your website. These metrics focus on the three most important aspects of page experience: loading performance, interactivity, and visual stability. Improving them helps both your search visibility and your user satisfaction.

  • Largest Contentful Paint (LCP): Measures how long it takes for the main content on your page to load. Aim for LCP within 2.5 seconds for a smooth loading experience
  • Interaction to Next Paint (INP): Replaces the older First Input Delay metric and measures how quickly your site responds to user interactions like taps, clicks, or key presses. An INP score under 200 milliseconds ensures your site feels responsive and intuitive
  • Cumulative Layout Shift (CLS): Tracks how stable your content remains while loading. Elements shifting on screen can frustrate users, so keep CLS below 0.1 for a stable visual experience

How to interpret and improve your scores

Perfection is not the target. Progress and user comfort are what count. If you notice issues in your Core Web Vitals report, here are some practical steps:

  • If your LCP is slow: Compress images, serve modern formats like WebP, use lazy loading, or upgrade hosting to reduce load times
  • If your INP score is high: Reduce heavy JavaScript execution, minimize unused scripts, and avoid main thread blocking
  • If your CLS score is poor: Set defined width and height for images, videos, and ad containers so the layout does not jump around while loading
  • If your TTFB is high: Time to First Byte is not a Core Web Vital, but it still impacts loading speed. Improve server performance, use caching, and consider a CDN

Remember that even small improvements create a noticeable difference. Faster load times, stable layouts, and quicker interactions directly contribute to a smoother experience that users appreciate and search engines reward.

Tools to measure and analyze your website’s performance

Here are some powerful tools that help you measure, analyze, and improve your page loading speed:

Google PageSpeed Insights

Google PageSpeed Insights is a free tool from Google that provides both lab data (simulated results) and field data (real-world user experiences). It evaluates your page’s Core Web Vitals, highlights problem areas, and even offers suggestions under ‘Opportunities’ to improve load times.

Google Search Console (Page Experience Report)

The ‘Page Experience’ section gives you an overview of how your URLs perform for both mobile and desktop users. It groups URLs that fail Core Web Vitals, helping you identify whether you need to improve LCP, FID, or CLS scores.

Lighthouse (in Chrome DevTools)

Lighthouse is a built-in auditing tool in Chrome that measures page speed, accessibility, SEO, and best practices. It’s great for developers who want deeper insights into what’s affecting site performance.

WebPageTest

WebPage Test lets you test how your website performs across various networks, locations, and devices. Its ‘waterfall’ view shows exactly when each asset on your site loads, perfect for spotting slow resources or scripts that delay rendering.

Chrome Developer Tools (Network tab)

If you’re hands-on, Chrome DevTools is your real-time lab. Open your site, press F12, and monitor how each resource loads. It’s perfect for debugging and understanding what’s happening behind the scenes.

A quick checklist for diagnosing performance issues

Use this checklist whenever you’re analyzing your website performance:

  • Run your URL through PageSpeed Insights for Core Web Vitals data
  • Check your Page Experience report in Google Search Console
  • Use Lighthouse for a detailed technical audit
  • Review your WebPageTest waterfall to spot bottlenecks
  • Monitor your server performance (ask your host or use plugins like Query Monitor)
  • Re-test after every major update or plugin installation

Speed up, but with purpose

As Mahatma Gandhi once said, ‘There is more to life than increasing its speed.’ The same goes for your website. While optimizing speed is vital for better engagement, search rankings, and conversions, it is equally important to focus on creating an experience that feels effortless and meaningful to your visitors. A truly high-performing website strikes a balance between speed, usability, accessibility, and user intent.

When your pages load quickly, your content reads clearly, and your navigation feels intuitive, you create more than just a fast site; you create a space where visitors want to stay, explore, and connect.

The post From slow to super fast: how to boost site speed the right way appeared first on Yoast.

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6 Best Ad Intelligence Software to Outsmart the Competition

Ad intelligence software promises to show you everything your competitors are doing: their keywords, budgets, creatives, and landing pages.

But many surface insights you could get for free.

Meta’s Ad Library shows what advertisers are currently running. Google’s Transparency Center does the same for search and YouTube. TikTok’s Creative Center reveals top performers by industry.

So, when does paid software earn its cost?

  • You’re tracking multiple competitors across platforms and losing hours to manual checks
  • You need historical data on which ads they tested and killed
  • You rely on spend benchmarks and real-time alerts to catch shifts before your clients do

That’s the gap paid tools fill. If they’re good.

Many aren’t. They bury useful insights under dashboards that create more work than they save. The data looks complete until you actually try to use it.

This guide covers six platforms that deliver real intelligence (if you know what you’re looking at).

We’re not promising magic improvements. We’re showing what each tool reveals, who it’s built for, and what you give up at each price point.

What Is the Best Ad Intelligence Software?

Ad Intelligence Tools Best For Price
Similarweb Best for stalking competitors’ ads at scale — plus, their SEO, traffic, and market moves $649+/month. (Only higher-tier plans come with ad intelligence.)
Semrush Advertising Toolkit Best for multi-platform ad intelligence, from Meta and TikTok to Google Shopping $99-$220/month
SpyFu Best for affordable Google Ads intelligence with deep historical data $39-$249/month
PowerAdSpy Best for analyzing ad engagement across social media platforms $69-$399/month
Adbeat Best for tracking competitor display ads and landing pages $249+/month
Pathmatics Best for enterprise-level ad spend intelligence across mobile, social, and video Pricing is not publicly available

1. Similarweb

Best for stalking competitors’ ads at scale — plus, their SEO, traffic, and market moves

Similarweb – Homepage

Similarweb reveals your competitors’ complete paid strategies, from their winning ad creatives to their most successful publishers.

It also includes SEO and competitive intelligence tools in every subscription, so you get the full picture of how your rivals attract and convert traffic across every channel.

This cross-channel context is especially helpful if you already use native ad libraries but want scalable intel that ties everything together.

Learn Your Competitors’ Highest-Performing Publishers and Ad Networks

If your competitors are running ads, Similarweb shows you where (and how to beat them).

You’ll see:

  • Which ad networks and placements work best for your top competitors
  • Where their ad budgets go, broken down by channel
  • Industry-wide trends that reveal missed opportunities

Similarweb – The Spruce – Website Intelligence

Say Similarweb shows that multiple competitors spend over 50% of their display budgets on a single publisher.

That’s a data-backed signal you can’t ignore.

Use that data to target the same publisher to test similar placements. Or find underused publishers in the same category for more affordable traffic.

Similarweb – Huffpost – Publisher Performance

Get Inspired by Proven Ad Creatives

Similarweb’s database makes it easy to browse display ads by publisher, network, and format.

  • See the messaging and offers competitors use to get conversions
  • Learn how many days each ad was active, so you know which ones excelled (and which ones failed)
  • Find out which formats your competitors are using, including product, display, and video ads

Similarweb – Creatives

Of course, copying your competitors’ ads word-for-word isn’t the goal.

The real value is in spotting patterns: the hooks they repeat, the formats they invest in, and the offers they continually test.

These insights let you design campaigns that build on what already works in your market.

When you’re juggling multiple accounts, this saves hours of creative testing, and points you directly toward proven formats.

Reverse-Engineer Competitors’ Search and Shopping Campaigns

Similarweb shows you which keywords your competitors bid on and how much they’re spending.

This helps you identify high-value keywords that drive conversions and avoid wasting budget on terms that don’t perform.

Similarweb – Paid Keywords

From there, you can build stronger landing pages that target your competitors’ most successful keywords and match intent.

Pros and Cons

Pros Cons
Tracks 500M+ ads across publishers, networks, and formats for deep competitive insights Ad intelligence tools only available with the most expensive plan
Uncovers competitors’ top-performing publishers and ad placements Can feel overwhelming for smaller teams due to the platform’s depth
Includes SEO, traffic, and market data for a full competitive picture If you only want ad intelligence, you’ll be paying for much more than you need

Pricing

Similarweb – Pricing

Similarweb offers multiple plans, but only the most expensive one includes dedicated tools for ad intelligence.

This plan costs $649/month ($540 billed annually). Similarweb also offers business and enterprise plans, but pricing and tools are not publicly available online.

2. Semrush Advertising Toolkit

Best for multi-platform ad intelligence, from Meta and TikTok to Google Shopping

Semrush – Advertising Research – Ebay – Positions

When you’re managing multiple clients or campaigns, switching between Meta, TikTok, and Google dashboards gets messy fast.

Semrush’s Advertising Toolkit consolidates that chaos into one workspace — letting you analyze competitor campaigns and build your own in the same place.

You’ll get deep intel on keywords, budgets, ad copy, and creative trends.

Plus, actionable advice on how to turn that data into high-performing campaigns.

Track Competitor Keywords and Budgets

The Advertising Research tool reveals everything, and we mean everything, about your competitors’ Google Ads strategies.

Enter any domain and you’ll see:

  • Estimated ad traffic
  • Cost per click (CPC)
  • Highest- and lowest-performing keywords
  • Organic search position
  • Keyword difficulty
  • URL

No more wasting ad budget on terms that don’t perform. You’ll know exactly which ones to target in your next campaign.

Semrush – Advertising Research – Ebay – Position Changes

The tool also tracks keyword trends over time.

See which keywords competitors continuously invest in month after month.

When a keyword consistently appears in their paid strategy with stable or growing volume, that’s a clear sign it’s profitable.

Semrush – Advertising Research – Ebay – Paid Search Trends – Keywords

With this data, you might test variations of the keyword in multiple ads to capitalize on its success.

Or use them to inform your broader content strategy beyond paid campaigns.

Spy on Google Shopping Ads

Have an ecommerce brand?

The PLA Research tool shows you which products your competitors promote most heavily in Google Shopping.

You’ll see position, volume, price, product titles, URLs, and trend data for each listing.

When a product shows up month after month, it’s likely a top seller.

Semrush – PLA Research – Ebay – PLA Positions

If you don’t carry that product yet, you might consider adding it to your catalog.

Already sell it? Increase your Shopping ads to compete directly.

You can also view all of your competitors’ Google Shopping ads in one place.

Semrush – PLA Research – Ebay – PLA Copies

Analyze their copy, images, and offers.

Then, apply these insights to your own listings:

  • Adjust your product titles to match high-performing formats
  • Test pricing strategies that undercut or match theirs
  • Prioritize ads for products where you have a competitive advantage. Think better reviews, faster shipping, or exclusive features they don’t offer.

Here’s another cool feature:

Instead of bouncing between tools, Semrush’s AI-powered Ad Launch Assistant lets you create and optimize Google and Meta ads directly inside the platform.

Semrush's AI powered Ad launch assistant

The tool generates copy and visuals tailored to your brand, from attention-grabbing headlines to conversion-focused descriptions.

Instead of writing everything from scratch, all you have to do is review each element:

  • Headlines
  • Descriptions
  • Site links
  • Callouts
  • Images
  • Videos

Simply refine the voice and messaging as needed. You’ll be able to test multiple variations in minutes instead of hours.

Unlock Deeper Insights with AdClarity

AdClarity is Semrush’s advanced cross-channel ad intelligence tool.

Need complete visibility into competitor display, social, and video campaigns?

This is where you’ll find it.

Semrush – AdClarity

You’ll get a lot of data with this tool.

Including how much rivals spend, which publishers drive the most impact, and the exact creatives they’re using across platforms:

  • Facebook
  • Instagram
  • X
  • Google Display
  • Pinterest
  • YouTube
  • TikTok
  • LinkedIn

Say a competitor suddenly doubles their TikTok spend. You’ll spot the shift immediately and can adjust your strategy in real time.

Semrush – AdClarity – Advertising Intelligence

AdClarity also automatically identifies your competitors’ top publishers and campaigns.

So there’s no guessing or testing which ones work well for your target audience.

Semrush – AdClarity – Top Publishers

Pros and Cons

Pros Cons
Combines robust multi-site ad intelligence with Meta and Google campaign execution in one platform The base plan includes only Google and Meta ad intelligence
Google Shopping insights are especially strong for ecommerce brands AdClarity is only included the higher-tier plan
AdClarity offers advanced ad intelligence across display, social, and video Doesn’t include SEO tools; you’ll need a separate toolkit for that

Pricing

Semrush – Advertising Toolkit – Pricing

The Semrush Advertising Toolkit is $99 per month.

It includes Advertising Research, PLA Research, Ads Launch Assistant, and more.

The higher-tier plan ($220/month) includes AdClarity, along with all of the above.

3. SpyFu

Best for affordable Google Ads intelligence with deep historical data

SpyFu – Homepage

SpyFu is built for one thing: uncovering Google Ads strategies.

If your strategy leans heavily on Google, it’s one of the most detailed and budget-friendly advertising intelligence software options available.

Download Competitor Keywords Without Limits

SpyFu shows you everything your competitors do on Google Ads — and lets you export it all with no limits.

Many ad intelligence platforms cap your keyword downloads, so this is a plus.

Type in any competitor’s domain and you’ll see:

  • Every keyword they’ve ever bought on Google Ads
  • Estimated monthly clicks and CPC
  • Total spend on paid search

SpyFu – Monthly PPC Overview

For example, say you’re in SaaS project management and Asana is your top competitor.

Search their domain, and SpyFu shows you their current and historical ad keywords. We’re talking thousands of terms, not just the top 50 or 100.

Download the complete dataset and…

  • Feed it into your analytics tools or Google Sheets
  • Share it with your team for campaign planning
  • Build custom reports for leadership
  • Cross-reference it with your CRM to see which keywords actually convert

SpyFu – Asana – Most Successful Paid Keywords

Spot Overlaps and Waste in PPC Strategies

SpyFu’s Kombat tool compares your PPC strategy against up to two competitors at once.

But instead of having to sift through 10,000 keywords, the ad intelligence tool automatically groups them into helpful buckets:

  • Core Keywords: Terms all competitors are bidding on
  • Consider Buying: Valuable keywords they use, but you don’t
  • Potential Ad Waste: Terms that neither competitor uses but you do

SpyFu – Asana – Kombat tool

So, you know exactly which terms to focus on (and which to remove from your campaigns).

This is especially helpful if you’re newer to paid campaigns.

Or have limited time (or tolerance) for turning data into actionable insights.

SpyFu also tags certain terms as “Great Buys” and estimates how many impressions you’ll get for each one.

Plus, it shows which competitors already bid on them, so you can piggyback on proven opportunities.

SpyFu – Asana – PPC Overview

For example, the report below reveals that Asana’s competitor, Monday.com, uses “top task management apps” and “work time tracker app” in its ad strategy.

Asana could (and probably should) target both terms since SpyFu’s data shows they’re worth the investment.

SpyFu – Asana – Top Google Ads Buy Recommendations

Learn From Ads That Worked (or Failed)

SpyFu’s Ad History tool shows every ad variation competitors have tested for a given keyword.

If an ad copy ran for 14 consecutive months, you know it was effective.

If it vanished after a week? Probably a dud.

This kind of insight lets you write ads with fewer flops and faster wins.

This is especially valuable if you handle multiple accounts. You can skip obvious mistakes and start from proven winners.

SpyFu – Asana – Ad History

Pros and Cons

Pros Cons
Unlimited keyword exports with no download caps Focused exclusively on Google Ads; no social or display coverage
10+ years of historical ad data for deep competitive analysis Historical data (10+ years) requires paying for higher-tier plans
Kombat tool automatically identifies keyword overlaps and wasted spend The base plan doesn’t come with unlimited downloads

Pricing

SpyFu – Pricing

SpyFu offers three main plans, all of which come with ad intelligence and SEO reports.

The most affordable plan is $39 per month.

However, you’ll need to upgrade to a higher tier to get 10+ years of historical insights ($59-$249/month).

4. PowerAdSpy

Best for analyzing ad engagement across social media platforms

PowerAdSpy – Homepage

PowerAdSpy specializes in social advertising intelligence with one key differentiator: engagement data that shows what’s actually resonating.

You’ll see which competitor social ads are getting likes, shares, and comments across 11 platforms:

  • Facebook
  • Instagram
  • YouTube
  • Google
  • Google Display Network
  • Native
  • Quora
  • Reddit
  • Pinterest
  • LinkedIn
  • TikTok

If you need to understand which creatives are worth replicating at scale, PowerAdSpy is a strong option.

Search Ads by Keyword, Competitor, or Domain

Want to know which competitor ads crush it on Instagram Reels?

Or which offers rivals push hardest on YouTube or TikTok?

Plug in a keyword, competitor’s name, or domain, and you’ll instantly see all of their active and historical campaigns.

That single search can replace hours of platform hopping between ad libraries.

PowerAdSpy – Domain, Advertiser, Keyword – Filter

Reveal What’s Actually Driving Engagement

Every ad includes engagement data specific to the platform you’re analyzing.

Assessing competitors’ or clients’ Facebook ads? Sort by likes, comments, impressions, and popularity.

PowerAdSpy – Likes, Shares – Filter

You can also filter by ad type and call to action, depending on the platform.

This is especially useful for spotting:

  • Whether video or static images dominate your niche
  • Which CTAs (“Learn More” vs. “Sign Up”) consistently get clicks
  • What ad hooks (“Free trial” vs. “Save 50%”) keep resurfacing across competitors

PowerAdSpy – Call to action – Filter

See How Competitors Win Attention on Reddit and Quora

PowerAdSpy tracks sponsored posts on Reddit and Quora.

These platforms matter because buying decisions often start there.

Conversations on these sites can also influence how LLMs (such as ChatGPT and Perplexity) surface your brand in answers.

PowerAdSpy – Ad Spy Tool – Quora

By analyzing these ads, you’ll see:

  • Which threads your competitors target (like “best project management software” on r/productivity)
  • How they position offers in Q&A format
  • Which ads earn upvotes, shares, and comments

PowerAdSpy – Filter with Likes

See what competitors are saying and which conversations are shaping buyer intent.

Spot content angles that consistently earn engagement. Identify threads or audiences they’re overlooking.

Another helpful feature?

Search by topic, like “games,” to find the competitors dominating that ad niche.

PowerAdSpy – Likes sort by filter

Include a custom “like” range so you narrow results to the level of popularity you prefer.

Then, zero in on the highest-performing ads and gather details such as ad copy and social engagement to improve your campaigns.

PowerAdSpy – Reddit ad spy tool

Pros and Cons

Pros Cons
Large, frequently updated database of social ads across 10+ major platforms Mainly focused on social media; lacks advanced search or display ad data
Engagement metrics (likes, shares, comments) reveal which creatives actually resonate Advanced filtering options are locked behind higher plans
Powerful filters for ad type, placement, geography, and CTA performance Only the highest-tier plan includes insights from all 11 platforms

Pricing

PowerAdSpy – Pricing

PowerAdSpy has six different plans.

The one you choose depends on the social platforms you want to analyze, and the features you need.

Only need Facebook, Instagram, Google, and YouTube?

(And don’t mind missing out on features like ad budget, ad type filter, and advanced analytics?)

The most affordable plan ($69/month) might work for you.

Need all the features and platforms? You’ll pay $399 per month.

5. Adbeat

Best for tracking competitor display ads and landing pages

Adbeat – Homepage

Adbeat specializes in display, native, and programmatic advertising.

But it goes beyond ad creatives.

You’ll also see landing page insights, so you get intel on the complete customer journey.

See Which Landing Pages Are Actually Converting

Adbeat shows you which landing pages drive the most ad traffic. And how long each page has been live.

For example, Squarespace’s longest-running landing page has been active for 794 days.

That’s over two years.

Adbeat – Squarespace – Advertiser profile

When a page stays live that long, you know it’s consistently converting.

This intel helps you see which page layouts, offers, and messaging are worth replicating.

If you work for an agency and have multiple clients, this is particularly valuable. It’s a fast way to benchmark what “good” looks like in each vertical.

Reveal Media Buying Strategies and Publisher Insights

The Advertiser Dashboard breaks down where competitors allocate their budgets across channels, networks, and publishers.

You’ll also see share-of-voice data to understand their market presence.

For example, Adbeat found that Squarespace ran 524 ads in one month.

Adbeat – Squarespace – Monthly Ads

And 78% of their spend went to programmatic ads.

Details like this highlight which channels matter most in your niche. And where you can reallocate budget to get better performance for your own campaigns.

Adbeat – Squarespace – Ad Channels breakdown

Benchmark Campaign Performance and Spot Trends

Adbeat’s ad intelligence software lets you monitor how your competitors’ budgets shift over time.

But what’s especially helpful is that they break it down by ad type: standard, native, and video.

For example, Squarespace’s longest-running video ad has been live for 413 days.

Adbeat – Squarespace – Video Ads

If they’ve kept it running that long, it’s a moneymaker.

In other words, it’s worth considering if you’re investing enough in video ads. And studying individual high performers for hooks, visuals, and offers.

Pros and Cons

Pros Cons
Lets you analyze ads and landing pages together for complete funnel insights Limited coverage of search and social campaigns
Reveals media spend, publisher performance, and traffic sources Pricing is higher than ad-creative-only tools
Great for agencies, affiliate marketers, and display-heavy advertisers Enterprise pricing is not publicly available

Pricing

Adbeat – Pricing

Adbeat’s pricing starts at $249 per month for display, programmatic, and native ad intelligence.

For advanced filters, alerts, and historical data, you’ll need the higher plan ($399 per month).

There’s also an enterprise plan, but pricing isn’t listed publicly.

6. Pathmatics by Sensor Tower

Best for enterprise-level ad spend intelligence across mobile, social, and video

SensorTower – Pathmatics

Pathmatics is built for large teams and big brands.

Household names like P&G and Unilever use this platform, so expect enterprise-level pricing and complexity.

But if you’re managing high-volume spend or reporting to leadership, it offers the transparency and benchmarking you can’t get from native tools.

Uncover Competitors’ Ad Spend Across Every Channel

Pathmatics shows you where every ad dollar goes in a pretty granular way.

It breaks down spend by platform, campaign, or creative — and tracks impressions, reach, and frequency over time.

Pathmatics – Gain Visibility

Say you notice a competitor’s Instagram spend suddenly increased by a significant amount in a single week during Q4.

That signals a major campaign launch — possibly holiday shopping or Black Friday prep.

With this data, you can adjust your strategy immediately. And compete head-to-head with your main competitors.

Pathmatics also lets you benchmark your ad spend against multiple competitors at once.

If you’re investing $500K on display while your top three competitors each spend $2M+, you’ll see that gap.

Pathmatics – Identify seasonal advertising trend

Use this data to justify budget increases to leadership.

Or to identify where smaller reallocations could close the gap faster.

Benchmark Market Share and Share of Voice

Pathmatics tracks your share of voice against competitors in your industry and region.

If three brands dominate 80% of impressions in your category, you’ll see who owns what percentage.

This data helps you understand your position in the market.

Are you a distant fourth? Or neck-and-neck with the leader?

Pathmatics – Benchmark Market Share

You can also identify which competitors dominate specific channels and spot opportunities where they’re underinvesting.

If the market leader owns Facebook but ignores TikTok, that’s your opening.

Evaluate Creatives That Resonate

Every ad includes details like format, placement, messaging, CTAs, and audience profiles.

See which creatives competitors keep running and which ones they kill after a few days.

Track the exact messaging and offers that stick around for months or years.

Pathmatics – Analyze Top Creatives

Use these insights to refine your own creative strategy.

Double down on formats that consistently deliver, and try localized messaging in new markets where your competitors are seeing success.

Pros and Cons

Pros Cons
Provides cross-channel visibility across social, display, mobile, video, and OTT Pricing is custom and can be expensive for smaller teams and startups
Combines creative data with detailed spend, reach, and audience insights Steeper learning curve due to platform depth and data complexity
Ideal for enterprise-level teams, app publishers, and multi-channel marketers Some users report data accuracy issues

Pricing

Pathmatics – Pricing

Pathmatics’ pricing is custom.

Request a quote if you’re interested.

Turn Competitive Intel into Campaign Wins

The right ad intelligence software isn’t the one with the most features.

It’s the one you can trust.

This means reliable data, less manual work, and the ability to scale campaigns across platforms with ease.

On a budget and focused mainly on Google Ads? Start with SpyFu.

Need deep, multi-site advertising intelligence across search and social with campaign execution built in?

Go for Semrush’s Advertising Toolkit.

Once you’ve picked your platform and gathered competitive intel, the next step is making sure your paid and organic strategies work together.

Learn how to align SEO and PPC to maximize visibility, reduce wasted spend, and improve your ROI.

The post 6 Best Ad Intelligence Software to Outsmart the Competition appeared first on Backlinko.

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October 2025 Digital Marketing Roundup: What Changed and What You Should Do About It

October showed just how fast AI is reshaping how brands connect, convert, and stay visible. OpenAI turned chats into checkout experiences. Google tested AI-written snippets and agent-driven search. The line between platforms, ads, and transactions keeps disappearing.

Creators gained new credibility. Rebrands proved riskier than ever. Data-driven PR entered a new era.

Here’s what mattered most and how to stay ahead.

Key Takeaways

  • • AI is officially a channel, not a tool. Search, shopping, and PR are all happening inside AI environments now.
  • • Authenticity outperforms aspiration. Whether you’re selling luxury goods or refreshing your brand, identity, and connection drive growth.
  • • Visibility depends on AI citations and structure. The brands getting mentioned in AI results are building more trust and traffic everywhere.
  • • Automation is powerful, but it still needs control. As Google’s AI Max expands, you need to balance efficiency with oversight to protect budgets and brand safety.
  • • Every brand action is a public statement. From rebrands to creator partnerships, perception moves fast. Plan your narratives or risk losing control of them.

Search & AI Evolution 

Search has moved beyond discovery. October’s updates from OpenAI and Google show how AI is collapsing the gap between queries and actions. Visibility means something different now.

OpenAI launches in-chat purchases

OpenAI rolled out Instant Checkout in ChatGPT. U.S. users can now buy products directly inside the chat. Powered by Stripe, the feature starts with Etsy listings and will expand to more merchants soon. Sellers on Shopify are auto-enrolled. Others can join by connecting product feeds and enabling Stripe checkout.

An ad in ChatGPT.

Our POV: ChatGPT shopping changes product discovery completely. If your product data isn’t complete, detailed, and conversational, you won’t show up. The most visible listings will have rich attributes and language that reflects how users naturally describe what they want.

What to do next: Audit your product feeds. Fill every field. Use detailed, long-form descriptions that anticipate real-world queries. Give the e-commerce agent what it needs to surface your products.

<h3> Google tests AI-written meta descriptions <h3>

Google began testing AI-generated snippets powered by Gemini. Instead of pulling your written meta description, the model writes or summarizes one based on on-page content.

Our POV: Google’s been rewriting descriptions for years. AI just made it smarter and less predictable. Treat your page intros as the new meta description because that’s what AI will pull from.

What to do next: Front-load the first 150 words of each key page with a clear summary of what the page delivers and why it matters. Tighten headings and intros, monitor CTR shifts, and adjust language when AI summaries drift from your brand’s tone.

<h3> Google Search Labs adds Agentic AI <h3>

Google’s AI Mode now lets users book restaurants and other services directly from results. Search is moving from recommending to acting.

Our POV: This isn’t a traffic killer. But signals are shifting. AI will handle the click path. The brands that win will have structured, verified, action-ready data.

What to do next: Audit structured data, integrate local feeds, and make sure your listings are up to date across booking platforms. When the search agent starts acting on your behalf, data hygiene becomes your conversion strategy.

Paid Media & Automation

AI is taking over ad delivery. Control is the new currency. You have to balance efficiency with visibility to keep performance from becoming unpredictable.

Google doubles down on AI Max

Google refreshed its AI Max ad pitch. The system is fully automated: it matches intent, rewrites copy, and routes users to brand assets. Powerful, but still a black box.

Google AI Max.

Our POV: Automation doesn’t replace strategy. Advertisers need visibility, not just results. Without strict guardrails, budgets can leak into low-value placements or off-brand creative.

What to do next: Run low-risk tests first. Add negative keyword lists, set URL exclusions, and manually review creative. Monitor performance closely until you can prove control before scaling.

Apple launches dedicated Games app

Apple introduced a standalone Games app with iOS 26, bridging Game Center and the App Store. Developers can now feature their games, run dual search visibility, and analyze engagement with new metrics later this year.

Apple's Games app.

Our POV: This isn’t a small tweak, Apple’s essentially building a second storefront. Game publishers who adapt early will own discoverability.

What to do next: Refresh creatives, optimize In-App Events, and plan for dual indexing between the Games app and App Store. When analytics arrive, use them to refine ASO and campaign timing.

Social & Content Trends

Creators and consumers are rewriting the rules. Authenticity, identity, and emotional connection drive engagement across platforms that once ran on aspiration and polish.

TikTok reframes luxury branding

TikTok’s new research shows luxury audiences care more about self-expression than status. It’s about showing who you are, not showing off.

TikTok's 4 Ls of Luxury concept.

Our POV: That shift goes way beyond luxury. Audiences in every category now expect brands to reflect their identity. Connection beats aspiration. Authenticity beats polish.

What to do next: Reevaluate your brand’s emotional identity. Work with creators who reinterpret your message through their lens. Build content that feels participatory, not performative.

UK YouTubers contribute £2.2B to the economy

YouTube creators generated £2.2 billion for the UK economy last year, supporting over 45,000 jobs. Parliament even launched a cross-party group to represent them.

Our POV: Creators aren’t influencers anymore. They’re small businesses with real economic weight. Partnering with them means investing in industries, not individuals.

What to do next: Build collaborations that help creators grow beyond campaigns. Shared education, joint products, or community-driven initiatives create deeper, longer-term value.

PR, Reputation & Brand Risk

Reputation management has become real-time and AI-measurable. From LLM citation tracking to brand backlash, every communication choice now echoes faster and louder.

Notified + Profound launch AI-driven PR monitoring

A first-of-its-kind industry partnership between these two companies now offers a tool that tracks how often press releases are cited by LLMs like ChatGPT and Gemini. It finally gives brands visibility into their “AI footprint.”

Our POV: PR just gained a measurable seat in AI discoverability. Knowing when AI cites your releases helps you shape future narratives.

What to do next: Integrate AI citation metrics into your analytics stack. Identify which stories get surfaced and refine future language to match the tone that earns citations.

Rebrands are riskier than ever

Cracker Barrel’s attempted rebrand backfired almost instantly. Modest design updates triggered outrage and political backlash—proof that brand refreshes now carry reputational stakes.

Our POV: Rebrands still matter, but they demand foresight. A design tweak is a message, whether you mean it or not.

What to do next: Before launching a new look, test reactions across audience segments and scenario-plan your communication strategy. Shape the story before the internet does.

Olivia Brown automates PR outreach

A new AI platform called Olivia Brown is automating nearly every part of digital PR, from writing press releases to pitching journalists and sending aggressive follow-ups. It promises to “democratize publicity,” but its bulk-send approach is flooding inboxes and straining relationships between brands and reporters who value relevance and trust.

The Olivia Brown interface.

Our POV: Rebrands still matter, but they demand foresight. A design tweak is a message, whether you mean it or not.

What to do next: Before launching a new look, test reactions across audience segments and scenario-plan your communication strategy. Shape the story before the internet does.

SEO 2.0: The New Search Game

Traditional rankings are giving way to AI visibility. The brands that master structure, credibility, and omnichannel authority are the ones AI systems will learn to trust and users will keep choosing.

Rankings + AI Citations

Traditional SEO metrics can’t capture how visible you are inside AI systems. NP Digital’s SEO 2.0 approach tracks AI citations alongside rankings to see how content performs in generative search.

Our POV: Rankings aren’t the endgame anymore. Visibility inside AI summaries is. The brands that get cited are the ones shaping what users read next.

What to do next: Create original, data-backed content that builds authority across multiple platforms: YouTube, Reddit, TikTok, and forums. These are the signals AI models use to decide who to trust.

<America’s favorite new query: “Is it good or bad?”

SEMrush found that U.S. users are now searching in binary terms. Tens of millions of queries every month ask if something is “good” or “bad.”

A graphic showing the main topics behind "Good/Bad" searches from SEMrush.

Source

Our POV: AI Overviews have trained users to expect clear answers. If your content hedges or buries the lead, you’ll lose clicks and credibility.

What to do next: Structure pages for speed and certainty. Use FAQ blocks, schema markup, and straightforward intros that deliver the verdict early. This is how you earn trust in zero-click environments.

Conclusion

AI is rewriting the rules of visibility, discovery, and trust. Success no longer depends on who publishes most. It depends on who provides the clearest data, most credible voice, and strongest structure. The brands investing in AI-ready content, authentic storytelling, and measurable strategy will own the next wave of search, social, and PR.

Need help applying these insights? Talk to the NP Digital team. We’re already helping brands adapt as things develop.

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