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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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SEO vs. AI search: 101 questions that keep me up at night

SEO AI optimization GEO AEO LLMO

Look, I get it. Every time a new search technology appears, we try to map it to what we already know.

  • When mobile search exploded, we called it “mobile SEO.”
  • When voice assistants arrived, we coined “voice search optimization” and told everyone this would be the new hype.

I’ve been doing SEO for years.

I know how Google works – or at least I thought I did.

Then I started digging into how ChatGPT picks citations, how Perplexity ranks sources, and how Google’s AI Overviews select content.

I’m not here to declare that SEO is dead or to state that everything has changed. I’m here to share the questions that keep me up at night – questions that suggest we might be dealing with fundamentally different systems that require fundamentally different thinking.

The questions I can’t stop asking 

After months of analyzing AI search systems, documenting ChatGPT’s behavior, and reverse-engineering Perplexity’s ranking factors, these are the questions that challenge most of the things I thought I knew about search optimization.

When math stops making sense

I understand PageRank. I understand link equity. But when I discovered Reciprocal Rank Fusion in ChatGPT’s code, I realized I don’t understand this:

  • Why does RRF mathematically reward mediocre consistency over single-query excellence? Is ranking #4 across 10 queries really better than ranking #1 for one?
  • How do vector embeddings determine semantic distance differently from keyword matching? Are we optimizing for meaning or words?
  • Why does temperature=0.7 create non-reproducible rankings? Should we test everything 10 times over now?
  • How do cross-encoder rerankers evaluate query-document pairs differently than PageRank? Is real-time relevance replacing pre-computed authority?

These are also SEO concepts. However, they appear to be entirely different mathematical frameworks within LLMs. Or are they?

When scale becomes impossible

Google indexes trillions of pages. ChatGPT retrieves 38-65. This isn’t a small difference – it’s a 99.999% reduction, resulting in questions that haunt me:

  • Why do LLMs retrieve 38-65 results while Google indexes billions? Is this temporary or fundamental?
  • How do token limits establish rigid boundaries that don’t exist in traditional searches? When did search results become limited in size?
  • How does the k=60 constant in RRF create a mathematical ceiling for visibility? Is position 61 the new page 2?

Maybe they’re just current limitations. Or maybe, they represent a different information retrieval paradigm.

The 101 questions that haunt me:

  1. Is OpenAI also using CTR for citation rankings?
  2. Does AI read our page layout the way Google does, or only the text?
  3. Should we write short paragraphs to help AI chunk content better?
  4. Can scroll depth or mouse movement affect AI ranking signals?
  5. How do low bounce rates impact our chances of being cited?
  6. Can AI models use session patterns (like reading order) to rerank pages?
  7. How can a new brand be included in offline training data and become visible?
  8. How do you optimize a web/product page for a probabilistic system?
  9. Why are citations continuously changing?
  10. Should we run multiple tests to see the variance?
  11. Can we use long-form questions with the “blue links” on Google to find the exact answer?
  12. Are LLMs using the same reranking process?
  13. Is web_search a switch or a chance to trigger?
  14. Are we chasing ranks or citations?
  15. Is reranking fixed or stochastic?
  16. Are Google & LLMs using the same embedding model? If so, what’s the corpus difference?
  17. Which pages are most requested by LLMs and most visited by humans?
  18. Do we track drift after model updates?
  19. Why is EEAT easily manipulated in LLMs but not in Google’s traditional search?
  20. How many of us drove at least 10x traffic increases after Google’s algorithm leak?
  21. Why does the answer structure always change even when asking the same question within a day’s difference? (If there is no cache)
  22. Does post-click dwell on our site improve future inclusion?
  23. Does session memory bias citations toward earlier sources?
  24. Why are LLMs more biased than Google?
  25. Does offering a downloadable dataset make a claim more citeable?
  26. Why do we still have very outdated information in Turkish, even though we ask very up-to-date questions? (For example, when asking what’s the best e-commerce website in Turkiye, we still see brands from the late 2010s)
  27. How do vector embeddings determine semantic distance differently from keyword matching?
  28. Do we now find ourselves in need to understand the “temperature” value in LLMs?
  29. How can a small website appear inside ChatGPT or Perplexity answers?
  30. What happens if we optimize our entire website solely for LLMs?
  31. Can AI systems read/evaluate images in webpages instantly, or only the text around them?
  32. How can we track whether AI tools use our content?
  33. Can a single sentence from a blog post be quoted by an AI model?
  34. How can we ensure that AI understands what our company does?
  35. Why do some pages show up in Perplexity or ChatGPT, but not in Google?
  36. Does AI favor fresh pages over stable, older sources?
  37. How does AI re-rank pages once it has already fetched them?
  38. Can we train LLMs to remember our brand voice in their answers?
  39. Is there any way to make AI summaries link directly to our pages?
  40. Can we track when our content is quoted but not linked?
  41. How can we know which prompts or topics bring us more citations? What’s the volume?
  42. What would happen if we were to change our monthly client SEO reports by just renaming them to “AI Visibility AEO/GEO Report”?
  43. Is there a way to track how many times our brand is named in AI answers? (Like brand search volumes)
  44. Can we use Cloudflare logs to see if AI bots are visiting our site?
  45. Do schema changes result in measurable differences in AI mentions?
  46. Will AI agents remember our brand after their first visit?
  47. How can we make a local business with a map result more visible in LLMs?
  48. Will Google AI Overviews and ChatGPT web answers use the same signals?
  49. Can AI build a trust score for our domain over time?
  50. Why do we need to be visible in query fanouts? For multiple queries at the same time? Why is there synthetic answer generation by AI models/LLMs even when users are only asking a question?
  51. How often do AI systems refresh their understanding of our site? Do they also have search algorithm updates?
  52. Is the freshness signal sitewide or page-level for LLMs?
  53. Can form submissions or downloads act as quality signals?
  54. Are internal links making it easier for bots to move through our sites?
  55. How does the semantic relevance between our content and a prompt affect ranking?
  56. Can two very similar pages compete inside the same embedding cluster?
  57. Do internal links help strengthen a page’s ranking signals for AI?
  58. What makes a passage “high-confidence” during reranking?
  59. Does freshness outrank trust when signals conflict?
  60. How many rerank layers occur before the model picks its citations?
  61. Can a heavily cited paragraph lift the rest of the site’s trust score?
  62. Do model updates reset past re-ranking preferences, or do they retain some memory?
  63. Why can we find better results by 10 blue links without any hallucination? (mostly)
  64. Which part of the system actually chooses the final citations?
  65. Do human feedback loops change how LLMs rank sources over time?
  66. When does an AI decide to search again mid-answer? Why do we see more/multiple automatic LLM searches during a single chat window?
  67. Does being cited once make it more likely for our brand to be cited again? If we rank in the top 10 on Google, we can remain visible while staying in the top 10. Is it the same with LLMs?
  68. Can frequent citations raise a domain’s retrieval priority automatically?
  69. Are user clicks on cited links stored as part of feedback signals?
  70. Are Google and LLMs using the same deduplication process?
  71. Can citation velocity (growth speed) be measured like link velocity in SEO?
  72. Will LLMs eventually build a permanent “citation graph” like Google’s link graph?
  73. Do LLMs connect brands that appear in similar topics or question clusters?
  74. How long does it take for repeated exposure to become persistent brand memory in LLMs?
  75. Why doesn’t Google show 404 links in results but LLMs in answers?
  76. Why do LLMs fabricate citations while Google only links to existing URLs?
  77. Do LLMs retraining cycles give us a reset chance after losing visibility?
  78. How do we build a recovery plan when AI models misinterpret information about us?
  79. Why do some LLMs cite us while others completely ignore us?
  80. Are ChatGPT and Perplexity using the same web data sources?
  81. Do OpenAI and Anthropic rank trust and freshness the same way?
  82. Are per-source limits (max citations per answer) different for LLMs?
  83. How can we determine if AI tools cite us following a change in our content?
  84. What’s the easiest way to track prompt-level visibility over time?
  85. How can we make sure LLMs assert our facts as facts?
  86. Does linking a video to the same topic page strengthen multi-format grounding?
  87. Can the same question suggest different brands to different users?
  88. Will LLMs remember previous interactions with our brand?
  89. Does past click behavior influence future LLM recommendations?
  90. How do retrieval and reasoning jointly decide which citation deserves attribution?
  91. Why do LLMs retrieve 38-65 results per search while Google indexes billions?
  92. How do cross-encoder rerankers evaluate query-document pairs differently than PageRank?
  93. Why can a site with zero backlinks outrank authority sites in LLM responses?
  94. How do token limits create hard boundaries that don’t exist in traditional search?
  95. Why does temperature setting in LLMs create non-deterministic rankings?
  96. Does OpenAI allocate a crawl budget for websites?
  97. How does Knowledge Graph entity recognition differ from LLM token embeddings?
  98. How does crawl-index-serve differ from retrieve-rerank-generate?
  99. How does temperature=0.7 create non-reproducible rankings?
  100. Why is a tokenizer important?
  101. How does knowledge cutoff create blind spots that real-time crawling doesn’t have?

When trust becomes probabilistic

This one really gets me. Google links to URLs that exist, whereas AI systems can completely make things up:

  • Why can LLMs fabricate citations while Google only links to existing URLs?
  • How does a 3-27% hallucination rate compare to Google’s 404 error rate?
  • Why do identical queries produce contradictory “facts” in AI but not in search indices?
  • Why do we still have outdated information in Turkish even though we ask up-to-date questions?

Are we optimizing for systems that might lie to users? How do we handle that?

Where this leaves us

I’m not saying AI search optimization/AEO/GEO is completely different from SEO. I’m just saying that I have 100+ questions that my SEO knowledge can’t answer well, yet.

Maybe you have the answers. Maybe nobody does (yet). But as of now, I don’t have the answers to these questions.

What I do know, however, is this: These questions aren’t going anywhere. And, there will be new ones.

The systems that generate these questions aren’t going anywhere either. We need to engage with them, test against them, and maybe – just maybe – develop new frameworks to understand them.

The winners in this new field won’t be those who have all the answers. There’ll be those asking the right questions and testing relentlessly to find out what works.

This article was originally published on metehan.ai (as 100+ Questions That Show AEO/GEO Is Different Than SEO) and is republished with permission.

Read more at Read More

Google expands image search ads with mobile carousel format

Google rolled out AI-powered ad carousels in the Images tab on mobile, now appearing across all categories — not just shopping-related ones.

Why we care. Ads are now showing directly within image search results, giving brands a new, highly visual placement to grab attention where users are actively browsing and comparing visuals. With users often browsing images to explore ideas or compare options, these AI-powered carousels give brands a chance to influence discovery earlier in the journey.

The details:

  • The new format features horizontally scrollable carousels with images, headlines, and links.
  • These carousels are powered by AI-driven ad matching, pulling in visuals relevant to the user’s query — even in non-commerce categories like law or insurance.
  • The feature was first spotted by ADSQUIRE founder Anthony Higman, who shared screenshots of the new layout on X.

The big picture. By integrating ads more seamlessly into visual search, Google is blurring the line between organic and paid discovery a continued shift toward immersive, image-based ad experiences that go beyond traditional text and product listings.

Read more at Read More

With negative review extortion scams on the rise, use Google’s report form

Google Business Profiles has a form where you can report negative review extortion scams, the form launched a month ago. You can find access to the form in this help document and I believe you need to be logged into your Google account with access to the Business Profile you want to report.

Review extortion scams. This negative review extortion scams are on the rise and a huge concern for local SEOs and businesses. A scammer will message you, likely over WhatsApp or email, and tell you that they left a one-star negative review and the only way to remove it is to pay them.

Google wrote in its help document, “These scams may involve a sudden increase in 1-star and 2-star reviews on your Google Business Profile, followed by someone demanding money, goods, or services in exchange for removing the negative reviews.”

The form. The form can be accessed while logged into your Google account by clicking here. The form asks for your information, the affected Google Business Profile details, more details on the extortion review, and additional evidence.

Do not engage. Google posted four tips when you are confronted with these scams:

  • Do not engage with or pay the malicious individuals. This can encourage further attempts and doesn’t guarantee the removal of reviews.
  • Do not try to resolve it yourself by offering money or services.
  • Gather all evidence immediately. The sooner you collect proof, the better.
  • Report all relevant communication you receive in the form.

Give it a try. There are some who are doubtful that this form actually does anything. But one local SEO tried it out over the weekend and within a few days, the review in question was removed. So it is worth giving it a shot.

Why we care. Reviews on your local listing, especially on Google Maps and Google Search, can have a huge impact on your business. Negative reviews will encourage customers to look for other businesses, even if those reviews are fraudulent. So, being on top of your reviews and removing the fake and fraudulent reviews is an important task most businesses should do on an ongoing basis.

This form will help you manage some of those fake reviews.

Read more at Read More

Why AI availability is the new battleground for brands

AI availability concept

GEO, AI SEO, AEO – call it what you like.

The label doesn’t matter nearly as much as understanding the shift behind it.

At the center of that shift lies one idea that explains everything: AI availability – and here’s why it matters.

What is AI availability?

The three pillars of brand availability

The idea of AI availability comes from Byron Sharp, research professor at the Ehrenberg-Bass Institute, who introduced it in a comment on one of my LinkedIn posts.

Sharp’s work underpins modern brand science and shows that growth depends on availability.

Brands grow through sales, and sales grow through two kinds of availability: mental and physical.

  • Mental availability refers to the likelihood of being considered in a purchasing situation.
  • Physical availability refers to the ease and convenience with which an item can be bought.

For years, these two principles have guided brand strategy.

They explain why Coca-Cola invests in constant visibility and why Amazon makes every click lead to a checkout.

But in the era of generative search, there’s now a third kind of availability marketers need to understand – the likelihood that your brand or product will be recommended by an AI system when a user is ready to buy.

That is AI availability – and it changes everything.

AI as the new influencer

If you are still thinking of AI as a technology, you are already behind.

Think of it instead as the world’s most powerful influencer.

ChatGPT alone is used by about 10% of the global adult population, according to recent research from OpenAI, Harvard, and Duke. 

That makes it far more pervasive than any social media platform at a similar stage in its life cycle.

Most people do not use it to code or write poetry – they use it to make decisions. 

Nearly 80% of ChatGPT conversations, the same study found, fall into three categories: 

  • Practical guidance.
  • Seeking information.
  • Writing.

In other words, people are asking AI to help them decide what to do, buy, and believe. 

The study also shows that these conversations are increasingly focused on everyday decisions rather than work. 

The distinction between search, research, and conversation is collapsing.

Source- “How People Use ChatGPT,” OpenAI, Harvard University, and Duke University
Source: “How People Use ChatGPT,” OpenAI, Harvard University, and Duke University

The result is simple.

AI systems are now the gatekeepers of modern discovery. They decide what information to surface and which businesses appear in front of consumers.

Forget the Kardashians. Forget influencer marketing.

If you’re invisible to AI, you’re invisible to the market.

AI is the new influencer.

From keywords to fitness signals

The SEO industry has spent two decades optimizing for how humans search with keywords – but that is changing.

Large language models (LLMs) infer meaning from context, probability, and performance.

They are scanning for what we can call fitness signals – a term from network science.

Fitness describes a product or service’s inherent ability to outcompete rivals, allowing one business to dominate a market even if others started earlier or invested more.

Think of how Google overtook Yahoo. 

It wasn’t just about better search algorithms – it was a better business model built on a stronger performance attribute: relevance.

These performance attributes are what make a business fit for survival. They are the qualities that define how well you solve a problem for a customer.

AI deploys search strategies to identify which businesses solve which problems most effectively. 

Because it exists to serve human needs, those same signals determine your AI availability.

Yes, AI uses search strings, fan-out queries, and reciprocal rank fusion, among many other strategies and tactics. 

It doesn’t search like humans because it isn’t bound by the same cognitive and speed limitations.

Humans search by “satisficing.” Keywords + Page 1 rankings = good enough.

Machines operate on an industrial scale – searching, gathering, assessing, and recommending.

Dig deeper: Fame engineering: The key to generative engine optimization

The psychology of performance

To understand why this works, we turn to evolutionary psychology.

Geoffrey Miller, author of “Spent,” explained that humans have always been driven by two fundamental needs. 

  • We seek to display fitness indicators that enhance our status.
  • We chase fitness cues that increase our chances of survival or pleasure.

Consumer products have evolved to meet those needs. Luxury goods signal success. 

Convenience products signal control. Both deliver psychological reassurance.

AI works in a similar way. Its goal is to satisfy human intent. 

When someone types a complex prompt into an LLM, the AI interprets it not as a string of keywords but as a statement of need. 

It then searches its training data and live information to find the most relevant and trustworthy performance attributes that match that need.

That is why context matters so much more than content. 

You are no longer competing for blue links – you are competing for cognitive inclusion in an AI’s mental model of your category. 

Your job is to make your brand’s fitness and performance attributes unmissable to that model.

Get the newsletter search marketers rely on.


Category entry points and the new SEO

Category entry points are the situations, needs, and triggers that put someone in the market to buy.

In the world of GEO, these are your new keywords.

They are what users express in prompts rather than in search terms. 

“Where can I find sustainable running shoes for flat feet?” is not a keyword query – it is a buying situation.

Your strategy is to:

  • Understand those buying situations.
  • Map them to your own performance attributes.
  • Create enough context that AI can confidently associate your brand with the solution.

That means describing not only what you do, but how you do it, who you do it for, and why you are distinctive.

This isn’t new. It’s the same foundational brand positioning marketers have always needed.

What’s changed is that it now feeds the world’s most sophisticated recommender system.

Dig deeper: AI search is booming, but SEO is still not dead

A local example: The sandwich shop in Stoke

Imagine a small sandwich shop in Stoke. It’s not glamorous, serving sausage sandwiches, bacon rolls, and coffee. 

The owners don’t want to be influencers. They just want customers.

How does a business like this make itself visible to AI?

Turn everyday details into data signals

The first step is to make its performance attributes explicit.

  • What ingredients are used?
  • Where do they come from?
  • What makes the sandwiches good value?
  • How long has the business served the local community?
  • Where is it located?
  • What is the hygiene rating?

All these details are small signals of trust and quality. 

A strong website should describe them in clear, human language. 

Every piece of information tells AI that:

  • This business exists.
  • It serves specific needs.
  • It performs well in doing so.

Build reputation where AI listens

Next, build local reputation. 

  • Encourage reviews on Google, TripAdvisor, and social media. 
  • Invite local bloggers to taste and review the food. 
  • Issue a press release about an anniversary or charity event. 

Every third-party mention adds more mutual information between your brand and the market – and that’s what AI learns from.

GEO is where good brand marketing meets intelligent technology.

Embrace both SEO and GEO

And for the “GEO is just SEO” crowd, yes, ranking on Google and in the local pack might be the best bet for increasing AI availability for this shop. 

However, it might also be hosting a relaunch event and inviting 30 local bloggers and press members to secure coverage.

Both are valid tactics with multiple benefits – and you can do both.

Until Google decides what it’s doing with the 10 blue links and AI Mode, bothism is the best plan – SEO and GEO, not just one.

From PR to performance

Larger businesses apply the same logic at scale. The recent wave of acquisitions in the SEO and analytics sector is a testament to this. 

These are deliberate attempts to control information ecosystems.

Owning media outlets, communities, and data platforms increases a company’s visibility in the information that AIs learn from. 

It creates an abundance of references that confirm expertise, authoritativeness, and relevance.

In traditional SEO, this is referred to as off-page optimization. 

In GEO, it is strategic distribution – where performance attributes and PR meet.

Your goal is to describe what you do, while making sure others also describe it.

Fame, distinctive assets, and consistency still matter. But the audience is no longer just human.

Dig deeper: AI search relies on brand-controlled sources, not Reddit: Report

Building AI availability

To make your brand visible to machines that now mediate discovery, you need to understand how and where that visibility is built.

Start with a visibility audit

Diagnose your current presence. 

Identify the category entry points most relevant to your products, and ask what prompts a user might type when they are ready to buy. 

Tools such as Semrush’s AI Enterprise platform can simulate these scenarios and show where your brand appears.

Get listed where AI looks

Identify the sources that AI models reference. 

Many LLMs use a mix of training data and live search, with listicles, directories, and “best of” articles among the most common data sources.

Being included in those lists is a sensible marketing strategy. 

Just as supermarkets stock their own shelves with their best products, you should position your brand among the best available options.

Expand your owned ecosystem

Over time, you’ll find saturation points where every competitor appears in the same lists. 

At that stage, innovation and owned media become essential. 

Start your own publication, commission original research, and contribute to conversations in your category.

Create context that earns recommendations

Digital shelf space isn’t the problem. Credible context amplifies your fitness signals.

Efficient, data-led, and creative, this is GEO’s manufactured style. But its success depends entirely on having a brand worth recommending. 

That’s why GEO is the outcome of proper marketing. 

Still, it’s proper marketing with a specific focus: increasing the likelihood of being recommended by AI.

The future of visibility

SEO has always been about optimization. 

GEO is about promotion – building and distributing enough credible, distinctive information about your business that an AI can recognize it as a trusted source.

The techniques look familiar: PR, branding, copywriting, partnerships, directories, and reviews. 

The difference lies in intent. You’re not feeding a search engine – you’re training an intelligence.

This requires a new mindset. 

  • You’re no longer optimizing for human users who type short queries into Google. You’re optimizing for a probabilistic model that interprets human intent across millions of contexts. 
  • It doesn’t care about your title tags. It cares about whether you look like the right answer to a real problem.

GEO is both exciting and humbling. 

It reconnects brand marketing and search after years of false division, and reminds us that while the tools evolve, the fundamentals endure.

You still need to be known, available, and distinctive. 

And now your audience includes machines that think like humans but learn on their own terms.

Back to fundamentals, forward with AI

GEO is a return to marketing fundamentals seen through a new lens. 

Businesses still grow by increasing availability. 

Consumers still buy from the brands they notice and can easily access. 

What has changed is the mediator: AI has become the primary distributor of attention.

Your task as a marketer is to make your brand’s performance attributes, category entry points, and distinctive assets visible in the data that AI consumes. 

The goal hasn’t changed – to be chosen. Only the mechanics are new.

Because in the age of AI, the only brands that matter are the ones the machines remember.

Read more at Read More

7 local SEO wins you get from keyword-rich Google reviews

Google reviews local SEO

Keywords in reviews are generally believed to help local rankings, although their impact is still actively debated within the local SEO community.

Regardless of where the truth on ranking impact ultimately lands, keyword-rich reviews can still provide meaningful value for local SEO beyond pure rankings.

Below are seven reasons why you should still encourage keyword-rich reviews.

1. Review justifications

If your reviews consistently mention a keyword related to your business, the likelihood that your Profile will get a Review justification in search increases.

This visibility can boost click-through rates. Higher engagement may lead to a secondary improvement in search engine rankings.

Plumbing Google review justifications

2. Place Topics

Google creates clickable Place Topics from keywords in your reviews. These topics:

  • Highlight your specialties.
  • Filter reviews for customers.
  • Can boost your Profile’s engagement.
Google place topics

3. Review snippets

Google bolds frequently mentioned terms in three review snippets on the Business Profile. This draws users searching for those terms to your Profile, hopefully increasing click-through rates.

Google review snippets

4. Menu Highlights (restaurants)

The Menu Highlights are generated from customer reviews and photos, similar to Place Topics.

Maestro Pasta menu

Recent analysis from Claudia Tomina showed that:

  • The menu highlights section impacts rankings.
  • Keywords in reviews impact the Menu Highlights section.
  • Therefore, when you get a menu highlight for a term mentioned in your reviews, you should rank better for that term.

5. AI editorial summaries

Google’s AI-generated business summaries pull concepts from reviews (e.g., “cozy”) to describe your business.

While Google’s AI summaries aren’t something you can edit, encouraging customers to include specific keywords in their reviews could influence the AI to emphasize aspects most beneficial to your business.

Basta Pesta AI summary

6. AI review summaries

Google’s AI generates review summaries by analyzing common sentiments and tips from customer feedback.

If your customers mention the right keywords in their reviews, your review summary will appear more compelling.

Google AI review summaries

7. Ask Maps about this place feature

Google is phasing out the old Q&A section and replacing it with an AI-powered feature that pulls answers from customer reviews.

This means reviews with detailed info (and the right keywords) are more valuable than ever.

Skyway Roofing Ask Maps about this place

How do you get keywords in your reviews?

It does not make sense to directly ask your customers, “Can you please add [keyword] to your review?” It’s unnatural and weird and will leave the customer wondering what your deal is.

But that doesn’t mean you have no options.

To encourage customers to naturally include relevant keywords in their reviews, begin by upgrading your review request templates.

Miriam Ellis recently wrote a helpful guide all about how to get keyword-rich reviews, which also includes three review request templates to make it extra easy for every business owner.

These templates guide customers on what to say, encouraging longer, more detailed, keyword-rich reviews — and can even prompt them to add photos to their reviews.

Here are three of those templates:

Scenario 1: Requesting reviews of specific products

Hi [customer name],
I’m [your name and job title] from [company name], and I’m writing to check in with you on your purchase of [product]. It’s my job to be sure you’re satisfied, and I wondered if you would be willing to provide your feedback in a review at [link]? 
I’m enclosing a photo of [product] for your use in your review if you don’t have your own photo, and I’d be so grateful if you could review your experience with:
– The features of this product that stand out most to you– What you like or dislike about it– How you’ve been using the product since you purchased it   
If there’s anything we could have done better for you, please feel free to contact us directly at [phone number or feedback form link]. I want to be sure you’re fully satisfied and we’re so grateful for your business. Thank you very much if you can take the time to tell us about your personal experience in your review.
[review us here link or button]
Sincerely,[name, job title, business]

Scenario 2: Requesting reviews of specific services

Hello [customer name],
This is [your name and job title] from [company name], and we were so happy to [service provided]. It’s my job to be sure you’re satisfied, and I wondered if you would be willing to provide your feedback in a review at [link]? 
I’m enclosing a photo of [the service that was provided] for your use in your review if you don’t have your own photo, and I’d be so grateful if you could review your experience with:
– Whether the service met your expectations– What you like/dislike about the service– How we did with our customer service 
If there’s anything we could have done better for you, please feel free to contact us directly at [phone number or feedback form link]. I want to be sure you’re fully satisfied, and we’re so grateful for your business. Thank you very much if you can take the time to tell us about your personal experience in your review.
[review us here link or button]
Sincerely,[name, job title, business]

Scenario 3: Requesting reviews when you’re not sure what a customer purchased

Email template
Hello [customer name],
Thank you for being our customer. I’m [your name and job title] from [company name], It’s my job to be sure you’re satisfied, and I wondered if you would be willing to provide your feedback in a review at [link]? 
I’m enclosing a photo of [the business premises] for your use in your review if you don’t have your own photo, and I’d love it if you could review:
– Whether you found our customer service helpful– What you like/dislike about our store– Why you chose our store 
If there’s anything we could have done better for you, please feel free to contact us directly at [phone number or feedback form link]. I want to be sure you’re fully satisfied and we’re so grateful for your business. Thank you very much if you can take the time to tell us about your personal experience in your review.
[review us here link or button]
Sincerely,[name, job title, business]

Now, make it work for you

By implementing a few simple improvements in your review requests, you will receive more detailed reviews from your customers, and their enhanced feedback will provide numerous benefits.

You may even increase your Google rankings for additional keywords, but I can’t guarantee anything. With all the other benefits, rankings shouldn’t be your primary goal anyway.

Read more at Read More

Home Services Digital Marketing Strategies

Over 2.5 million home services businesses operate in the U.S., from HVAC companies and plumbers to pest control specialists and landscapers. Most compete within a 10-15 mile radius, fighting for the same local customers.

Here’s the problem: your potential customers need help right now. A burst pipe. A broken AC in July. A wasp nest over the front door. They’re Googling “emergency plumber near me,” asking ChatGPT for recommendations, or searching through Google’s AI Overviews for “same-day HVAC repair.” They’re calling the first business that looks trustworthy.

If you don’t show up in those searches, either traditional Google results or AI-generated answers, with strong reviews and clear contact info, you’ve already lost the job.

Home services marketing gets you in front of customers at the exact moment they need you, across every platform they’re using. This guide breaks down the specific tactics that work for local service businesses.

Key Takeaways

  • Home services marketing drives visibility when customers search during emergencies or urgent needs in your local area.
  • Reviews and your Google Business Profile directly impact whether customers call you or scroll to the next listing.
  • Effective home services marketing combines local SEO, paid search for high-intent keywords, and reputation management.
  • Mobile-optimized websites with click-to-call functionality are critical since most home services searches happen on phones.
  • AI search tools like ChatGPT and Google’s AI Overviews now influence how customers find local service providers.
  • Tracking call volume, form submissions, and cost per lead helps you invest in what actually brings customers through the door.

Why Do Home Services Businesses Need Marketing?

Referrals and repeat customers built your business. But what happens when your best referral source retires? Or when a new competitor opens two miles away and starts undercutting your prices?

Marketing creates a predictable lead pipeline that doesn’t depend on word-of-mouth alone.

Here’s what effective marketing does for home services businesses:

  • Generates leads during slow seasons. HVAC companies can’t survive on summer AC calls alone. Marketing keeps your calendar full with maintenance appointments, system upgrades, and off-season work.
  • Captures customers before they call your competitor. When someone searches “24-hour electrician,” three businesses appear in Google’s map pack. Marketing gets you in that top three instead of buried on page two.
    • Look at the example below. These three electricians dominate the local map pack for emergency searches. Notice how each has over 100 reviews, clear phone numbers, and “Open 24 hours” indicators. The businesses below this fold get far fewer calls.
Google results for "24 hour electrician Phoenix."
  • Builds pricing power through reputation. When you have 200+ five-star reviews and your competitor has 15, customers stop shopping on price alone. They’ll pay more for the business that looks trustworthy and established.
  • Lets you choose your customers. Good marketing attracts the right jobs at the right price points. You’re not just taking whatever walks through the door.

Without marketing, you’re reacting. With it, you’re in control of your growth.

What Makes Home Services Marketing Unique?

Home services marketing operates differently than retail, ecommerce, or B2B software. You’re selling an in-person service that requires customers to let strangers into their homes, often during stressful situations.

That creates three unique challenges:

Hyper-local competition. You’re not competing nationally. You’re fighting for visibility against 15-30 other plumbers, electricians, or HVAC companies within a 10-mile radius. Your customer in Austin doesn’t care about the best roofer in Dallas.

Trust is the primary buying factor. Customers research your business before opening their door. They check if you’re licensed, read what other homeowners say about you, and look for proof you won’t rip them off or do shoddy work.

Look below for an example of what customers see when researching a home services business. This HVAC company’s Google Business Profile displays detailed reviews mentioning specific technicians and response times. These trust signals matter more than flashy branding.

A Google Business Profile from an HVAC company.

Speed matters more than polish. Most home services searches are urgent. Customers need someone today, not next week. They’ll call the first business that answers the phone and can schedule them quickly. A beautiful website means nothing if your contact info is buried or your phone goes to voicemail.

This means your marketing needs to prioritize:

  • Mobile-first design since 70% of home services searches happen on phones.
  • Click-to-call buttons on every page, above the fold.
  • Service area pages for each city or neighborhood you cover.
  • Real customer photos showing your team, trucks, and completed work.
  • Fast page load times because impatient customers bounce quickly.

Digital Marketing Strategies For Home Services

Winning in local home services marketing requires a mix of visibility tactics and trust-building. You need customers to find you when they search, trust you enough to call, and remember you for future jobs.

The strategies below work specifically for home services businesses. Each section covers what the tactic does, why it matters for local service companies, and how to implement it without wasting money on tactics built for other industries.

Home Services LLM Marketing

Large Language Model (LLM) marketing optimizes your content to appear in AI-generated search results from tools like ChatGPT, Claude, Perplexity, and Google’s AI Overviews.

When someone asks ChatGPT “Who’s the best emergency plumber in Austin?” or uses AI Overviews to search “how to choose an HVAC company,” you want your business cited in those responses.

How to optimize for LLMs:

Answer specific questions clearly. Create content that directly answers common home services questions: “How much does furnace replacement cost in Chicago?” or “What causes low water pressure?” AI tools favor content that gets straight to the answer in the first paragraph.

Use structured data markup. Add schema markup (LocalBusiness, FAQPage, HowTo) to help AI understand your services, location, and expertise. This increases your chances of being cited as a source.

Build authority with detailed guides. Publish comprehensive resources like “Complete Guide to Emergency Plumbing Repairs” or “HVAC Maintenance Checklist for Homeowners.” AI models pull from authoritative, in-depth content when generating recommendations.

Check out this Google’s AI Overview for landscaping companies near Seattle. These businesses earned placement by creating structured, authoritative content that AI can parse and reference.

An AI Overview for landscaping companies near Seattle.

Claim and optimize your Google Business Profile. AI tools often reference Google’s local business data when making recommendations for service providers.

Home Services Content Marketing

Content marketing for home services means creating blog posts, videos, and guides that answer customer questions, build trust, and improve your local SEO rankings.

Customers research before calling. They want to know what the job costs, how long it takes, and whether they can trust you. Content answers those questions and positions you as the expert.

What works for home services:

Location-specific service pages. Create dedicated local landing pages for each service in each city you cover: “Emergency Plumbing in Austin, TX” or “AC Repair in Round Rock.” Include local details like average response times, areas served, and city-specific regulations.

Educational blog posts targeting search queries. Answer questions customers actually ask: “How do I know if my water heater needs replacing?” or “Why is my AC blowing warm air?” These posts drive organic traffic and demonstrate expertise.

Video content showing your work. Film your technicians diagnosing problems, completing repairs, or explaining maintenance tips. Video builds trust faster than text. The River Pools YouTube channel is a good example, showing repair tutorials and walkthroughs..

The River Pools YouTube channel.

FAQs on every service page. Add 3-5 frequently asked questions at the bottom of each service page. This helps with SEO and reduces pre-call questions.

Paid Media for Home Services

Paid search (PPC) puts your business at the top of Google instantly, above the map pack and organic results. For urgent home services searches, paid ads capture customers who need help now and will call the first number they see.

Home services keywords are expensive. “Emergency plumber” or “AC repair near me” can cost $15-$75 per click in competitive markets. That’s why your campaigns need tight targeting and strong conversion tracking.

Here are some best practices for home services PPC:

Target hyper-local, high-intent keywords. Bid on “emergency electrician in [neighborhood]” or “same-day HVAC repair [city].” Skip broad terms like “plumbing tips” that attract researchers, not buyers.

Use call extensions and location extensions. Make your phone number and address visible in every ad. Most home services customers call directly rather than visiting your website first.

Run call-only campaigns for mobile. Over 70% of home services searches happen on phones. Call-only ads display just your phone number and business info with a tap-to-call button.

In the paid ads for “emergency plumber NYC,” you can see book buttons, star ratings, and location info. Notice how these ads dominate the top of results before any organic listings appear.

Sponsored listings for "Emergency Plumber NYC."

Track phone calls, not just clicks. Use call tracking software like CallRail to measure which keywords drive actual phone inquiries and booked jobs.

Home Services SEO

SEO (search engine optimization) helps your business rank organically in Google without paying for every click. For home services, local SEO drives the most valuable traffic because customers search for providers in their immediate area.

Local SEO focuses on appearing in the map pack (the top three businesses with pins) and ranking for city-specific keywords. Getting into that map pack means more calls.

How to optimize local SEO for home services: 

Optimize your Google Business Profile completely. Fill out every section: business description, service areas, hours, attributes (veteran-owned, emergency services, etc.), and upload at least 10 photos. Add posts weekly to stay active.

Create dedicated pages for each service and location. If you serve five cities, create five separate pages for “AC Repair in [City].” Include local landmarks, neighborhoods, and zip codes in your content.

Build local citations. Get your business listed on Yelp, Angi, BBB, Chamber of Commerce, and industry directories. Consistent NAP (Name, Address, Phone) across all sites signals legitimacy to Google.

The example below shows a location-specific service page optimized for local SEO. Notice how the plumbing company includes the city name in the H1, mentions specific neighborhoods served, references local weather patterns, and includes a map showing their service area.

A location-specific page for a plumbing company.

Optimize for mobile speed. Run your site through Google PageSpeed Insights and fix any issues slowing load times. Slow sites lose impatient mobile customers.

Social Media For Home Services

Social media for home services builds local recognition and trust. You’re not trying to go viral. You’re staying visible so customers think of you first when their water heater breaks or their AC stops working.

Focus on Facebook and Instagram for residential customers, and add YouTube for educational content. LinkedIn works if you target commercial property managers or businesses.

What works for home services social media:

Post before-and-after photos of completed jobs. Show the clogged drain versus the clean pipe. The old HVAC unit versus the new installation. Visual proof builds credibility and gives customers confidence in your work quality.

Share customer testimonials and video reviews. Ask satisfied customers to record a 30-second video explaining their experience. Video testimonials feel more authentic than text reviews and perform better on social platforms.

Show your team and trucks in action. Post photos of your technicians arriving at jobs, working on repairs, or attending training. This humanizes your business and helps customers recognize your branded vehicles in their neighborhood.

The example below shows a foundation repair company’s Instagram feed with informational content, team photos, and customer shoutouts. 

A foundation repair company's Instagram page.

Engage with local community content. Share local events, sponsor youth sports teams, or highlight neighborhood news. This positions you as a community business, not just a service provider.

Post 3-4 times per week minimum. Consistency matters more than perfection.

Email Marketing For Home Services

Most home services businesses ignore email marketing, which leaves money on the table. Email keeps you connected with past customers and turns one-time jobs into repeat business.

Home services have natural repeat cycles. HVAC systems need annual maintenance. Gutters need cleaning twice a year. Pest control requires quarterly treatments. Email reminds customers to book before they call someone else.

How to use email for home services:

Send seasonal maintenance reminders. Email past customers in April about AC tune-ups before summer heat. In October, remind them about furnace inspections before winter. These emails generate easy repeat bookings.

Automate post-job follow-ups. Three days after completing a job, send an automated email asking for a review with direct links to your Google Business Profile. Follow up 30 days later with maintenance tips or related service offers.

Share monthly tips in newsletters. Send seasonal advice like “How to prevent frozen pipes” or “Signs your water heater is failing.” Educational emails keep you top-of-mind without being pushy.

The screenshot below shows a house cleaning company’s new stripping and waxing service seasonal email reminding customers to book spring maintenance. Notice the clear call-to-action button, features, and service photos.

A seasonal email from a house cleaning company.

Win back inactive customers. Email customers who haven’t booked in 12+ months with a special offer.

Home Services Reputation Management

Your online reputation directly impacts whether customers call you or scroll to the next business. Studies show 97% of consumers read customer reviews before choosing a local service provider. For home services, where customers invite strangers into their homes, reviews matter even more.

A competitor with 150 five-star reviews will get calls over you, even if your prices are lower and your service is better. Reputation management isn’t optional.

How to manage your reputation:

Ask for reviews immediately after completing jobs. Send a text or email within 24 hours with direct links to your Google Business Profile and Yelp. Happy customers forget to leave reviews if you wait too long. Make it easy with one-click links.

Respond to every review within 48 hours. Thank customers for positive reviews and mention specific details (“Glad Tom could solve your drainage issue so quickly”). For negative reviews, respond professionally, acknowledge the problem, and offer to make it right offline.

Display reviews prominently. Add a reviews widget to your website homepage. Screenshot your best Google reviews and share them on social media. Ideally, you should have as many ways as possible to feature testimonials.

Reviews on a home service website.

Monitor mentions across platforms. Use tools like Podium, Birdeye, or Google Alerts to track when your business is mentioned online.

Home Services Mobile/SMS Marketing

SMS marketing works exceptionally well for home services because customers open 98% of text messages within minutes. For time-sensitive communications like appointment confirmations and service updates, texting beats email every time.

How home services use SMS effectively:

Send appointment confirmations and reminders. Text customers 24 hours before scheduled service: “Reminder: Tom will arrive tomorrow at 2pm for your AC repair. Reply C to confirm or R to reschedule.” This reduces no-shows significantly.

Update customers on technician arrival. Text “Your technician is 15 minutes away” when your crew is en route. This courtesy builds trust and reduces anxious phone calls asking “Where are you?”

Request reviews via text. Send a review request within hours of completing a job: “Thanks for choosing us! How did we do? Leave a review: [link].” SMS review requests get 3x higher response rates than email.

Send seasonal promotions to past customers. Text previous clients with limited-time offers: “Spring AC tune-up special: $79 (reg $129). Book by 4/30. Reply BOOK to schedule.”

Keep messages short, personalized, and always include an opt-out option to stay compliant with 

Measuring Your Home Services Marketing Success

Tracking results tells you what’s working and where to invest more budget. Home services businesses should focus on metrics that directly tie to revenue: calls, bookings, and cost per customer.

Key metrics to track:

Phone call volume and source. Use call tracking software like CallRail or CallTrackingMetrics to see which marketing channels drive calls. Tag different phone numbers for your website, Google ads, and Facebook page to identify your best sources.

Form submissions and online bookings. Track how many people fill out contact forms or book appointments through your website. Set up conversion tracking in Google Analytics to measure this.

Google Business Profile insights. Check your profile’s dashboard monthly to see how many people viewed your listing, clicked for directions, called your business, or visited your website. This shows your local visibility trends.

Cost per lead and cost per customer. Calculate how much you spend to acquire each lead and each paying customer. If your Google ads cost $2,000/month and generate 40 leads with 10 becoming customers, your cost per customer is $200.

The screenshot below shows a CallRail dashboard tracking phone calls by source. Notice how it attributes calls to specific campaigns (Google Ads, organic search, Facebook) so you know exactly what’s driving results.

The CallRail Interface.

Source

Use Google Analytics, Ubersuggest, and your CRM to centralize this data in one dashboard.

FAQs

What is home services marketing?

Home services marketing is the process of promoting businesses like HVAC, plumbing, roofing, pest control, and other similar categories. It includes strategies like SEO, paid ads, local listings, email, and referral programs to attract and retain customers.

How to market home services?

Start with the basics: claim your Google Business Profile, build a review strategy, create local SEO-optimized service pages, and run targeted PPC campaigns. From there, test channels like email and SMS to nurture leads and win repeat business.

Conclusion

More leads, more reviews, and a full calendar don’t happen by accident. Home services marketing builds the visibility and trust that turn searchers into paying customers.

Start with local SEO and your Google Business Profile. These give you the foundation to appear when customers search for help. Add customer reviews to build credibility, then layer in paid ads and content to capture customers at every stage.

Track your results monthly. Know which channels drive calls and which waste budget. Double down on what works.

If you need help building a marketing strategy that fills your schedule, NP Digital works with home services businesses to create campaigns that generate real ROI.

Read more at Read More

Multi-Location SEO: How to Scale Without the Chaos

Managing local search marketing for one location is straightforward.

But managing multi-location SEO — whether it’s 10, 50, or 100 branches — gets complicated fast.

Each location needs unique content.

A single mistake in your business info can mislead customers and hurt trust.

And it’s tough to see which branches are actually driving results.

Everything changes when you’re managing SEO for multiple locations.

Single Location SEO vs. Multi-Location SEO

Our six-step system below tackles these challenges in order of priority.

You’ll learn exactly how to:

  • Create high-performing location pages
  • Optimize Google Business Profiles (GBPs) across every branch
  • Manage reviews, citations, and backlinks efficiently
  • Track performance by location to see what’s really working

Plus, you’ll get our free toolkit to help you build a scalable SEO strategy for multiple locations.

Let’s dive in.

Step 1. Create Location Landing Pages

Every branch needs its own home online.

Without a dedicated location landing page, your GBP has nowhere reliable to link. And customers looking for local hours, directions, or services may bounce straight to a competitor.

So, start by confirming the basics.

Talk with branch managers or franchise owners to verify core business details — official name, address, phone number, operating hours, and available services.

Copy our location details sheet and use it to gather and confirm accurate data for every branch.

Multi-Location SEO Toolkit by Backlinko

Once it’s filled out, this sheet becomes your single “source of truth” — helping you prevent endless downstream errors when managing dozens of listings and citations later on.

Do Location-Focused Keyword Research

Once you’ve gathered accurate data, move into keyword targeting.

Each page should focus on one primary keyword set that combines your core service with its city or neighborhood modifier (e.g., “dentist in Austin”).

Doing this avoids keyword cannibalization between branches while signaling clear relevance for local searchers.

If you’re unsure where to start, use tools like Semrush’s Keyword Magic Tool.

Keyword Magic Tool – Dentist in Austin

Then, check Google’s “People also search for” suggestions to find real-world queries customers use in each market.

People also search for – Dentist in Austin

Map those target keywords to their corresponding locations in your spreadsheet.

Build a Modular Template and Page Structure

To scale efficiently, create a modular framework for every location page. This ensures consistency across branches while letting you customize local details.

Start with a simple, SEO-friendly URL structure.

Use subfolders (e.g., example.com/locations/austin).

Why?

They inherit more domain authority and are easier to maintain across large sites.

Each page should include these essential content blocks:

  • Name, address, and phone number (NAP)
  • An embedded map and clear driving directions
  • Local photos and customer reviews
  • A concise overview of services offered
  • A strong, localized call to action

Once your template is set, link to these pages internally so search engines and users can easily find them.

Add links from your main navigation or a dedicated HTML sitemap, and cross-link between related locations or service pages when relevant.

This type of modular setup helps every page stay on-brand while still serving unique, location-specific content.

Want a shortcut?

That’s where our Location Page Template comes in.

It’s a plug-and-play framework that keeps pages consistent while giving you room to localize copy, visuals, and CTAs.

Instead of rebuilding from scratch, just fill in the blanks and launch pages faster.

Location Page Template

Publish Unique, Optimized Content

Even with templates, every location page should feel distinct and relevant to its community. Boilerplate content can hurt engagement and limit your local visibility.

So, add local flavor wherever you can — photos of the branch exterior or team, nearby landmarks, or community involvement.

These small touches make each page authentic and help prevent duplicate content issues.

But don’t just stop there.

Rotate seasonal offers, update photos, and feature new testimonials to show both search engines and customers that your locations are active and trusted.

Finally, dial in your SEO details.

Titles, headers, image alt text, and LocalBusiness schema should all include the branch’s city or neighborhood.

These signals help Google connect each page to the right local search intent.

Pro tip: Start with your highest-traffic or flagship markets first. Once those pages are performing, use the same structure and workflow and apply it to the rest.


Step 2. Build and Optimize Google Business Profiles for Every Location

Multi-location SEO starts with accuracy and consistency in your GBPs.

One wrong detail — or a suspended profile — can tank visibility for that branch. And when you’re handling dozens of listings, a small mistake can spread fast.

Claim and Verify Every Listing

Start by claiming and verifying each profile.

If you have 10 or more branches, use Google’s bulk verification process. It’s faster and easier than doing it one by one.

Next, check every listing against your master spreadsheet from Step 1.

Make sure the name, address, phone number, hours, and landing page URL all match. Even one typo can hurt rankings.

Then, add UTM tracking to your website links.

Google Business Profile – Business information

This lets you see which branches drive traffic, leads, and sales in Google Analytics (GA4) or your customer relationship management (CRM) system.

Optimize Your GBPs Completely

Verification is just the start.

If you’re doing SEO for multiple locations, it’s not a one-time job — it’s a system you have to run efficiently across every branch.

Start with categories.

Google Business Profile – About

One wrong choice can confuse Google, so build a shared list of approved options every branch can use.

Precision matters more than volume. So, pick one main category and a few secondary ones that match what that branch actually offers.

Not sure which categories competitors use?

Tools like GMBspy show the primary and secondary categories of top-ranking businesses in your market.

GMBspy – Categories

From there, focus on consistency and automation across every profile:

  • Standardize visuals: Give each manager a short photo checklist (e.g., storefront, interior, team, and one or two local highlights) to keep listings current.
  • Use a brand-approved description template: Maintain a consistent tone but personalize each listing with local details.
  • Keep data aligned: Hours, URLs, and phone numbers should always match your website and location pages. Even one mismatch can cause issues across your network.
  • Automate updates: Tools like Semrush Local or BrightLocal can push edits, track reviews, and monitor changes in bulk.
  • Pre-load FAQs: Seed each profile’s Q&A section with verified, brand-approved answers before customers fill in the gaps.

Pro tip: Want to make life easier? Use our GBP optimization checklist to stay consistent across every location.


Post and Update Regularly

Google rewards freshness.

Regular posts, photos, and updates show that your business is active. And they help each location stand out in Maps and the local pack.

GBP – Update

Share short posts for promos, events, and new services. Rotate new photos or short videos every few months to keep your listings looking current.

Even small updates like adding seasonal offers or highlighting staff can make a difference in clicks and calls.

And don’t forget the Q&A section.

Add common customer questions yourself with accurate, brand-approved answers. Then, monitor it regularly so you can respond fast when new ones appear.

GBP – Q&A section

The hard part?

Doing this for dozens — or hundreds — of branches. Manually updating each profile is exhausting and easy to fall behind on.

Tools like Semrush Local can make it easier by letting you manage posts, photos, and info for all your locations from a single dashboard.

Semrush Local – Edit post for Your Business

Step 3. Collect and Manage Reviews

Reviews drive both rankings and trust.

At scale, the challenge isn’t getting one review — it’s managing hundreds across locations every month without dropping the ball.

Automate Review Acquisition

Start by collecting customer contact info at checkout or after service.

That lets you send automated review requests by text or email through your point of sale (POS) system or CRM.

Each branch should have its own short review link or QR code so customers can find the right profile fast.

GBP – Get more reviews & QR code

Add those links to receipts, follow-up emails, and even in-store signage. Small touches like that can boost response rates over time.

Google review – Door sticker

Most customers don’t ignore review requests on purpose, they just forget.

A simple reminder can make a big difference in review volume.

Direct Google review link in email

Centralize Review Monitoring

Tracking reviews one branch at a time wastes hours.

Use review management software like Semrush’s Review Management or GatherUp to pull feedback from every location into one dashboard.

RM – Analytics

Set alerts for negative reviews so you can respond quickly and win back unhappy customers.

Listing Management – Reviews

Over time, you’ll start spotting trends — like which cities get the most reviews or which teams need more support.

Standardize Responses

Consistency matters as much as speed.

Create a few brand-approved templates for positive, neutral, and negative reviews. Then, teach local staff how to personalize them with names or specific details from the customer’s experience.

Small touches like that make responses feel authentic while staying on brand.

You can also make a copy of our Review Response Templates to speed things up and keep messaging consistent.

Local SEO Toolkit by Backlinko – Review Response

The goal is to sound human without going off-script. That balance keeps your tone aligned across every branch while still making each customer feel heard.

Step 4. Ensure NAP Consistency and Manage Citations

With one location, you can fix a wrong phone number in minutes.

With dozens, a single typo can spread across aggregators, directories, and maps — causing mass confusion for customers.

And the fallout doesn’t stop there.

Inconsistent business information leads to missed calls and negative reviews. Which can snowball into lost traffic and weaker local performance.

Centralize Your Data

Keep using our Multi-Location SEO Toolkit you built earlier to track each branch’s core details.

List the official name, address, phone number, hours, Google Business Profile URL, and landing-page URL for every location.

Keep it updated — this one file keeps every branch aligned.

Next, make it easy to see what’s current and what’s not. Use the “Last Verified” column to track when each location’s details were last checked.

Multi Location SEO Toolkit by Backlinko – Last verified – Column

If different people manage different regions, assign ownership right in the sheet. That one small habit prevents duplicate edits and conflicting updates later on.

Automate Distribution

Once your data is solid, automation makes running multiple locations easier and saves hours of manual updates.

Tools like Semrush Local and Moz Local keep your listings in sync across the web.

Semrush Local – Pride Plumbing Services – Listings

They also make it easy to update details like hours, phone numbers, and URLs whenever something changes.

Audit and Monitor Listings Regularly for Accuracy

Your listings won’t stay accurate forever. That’s where routine maintenance makes all the difference.

Run a quarterly NAP audit to catch inconsistencies before they snowball. Your listings tool can scan every profile and flag details that don’t match your master sheet.

Then, spot-check the platforms that matter most: GBP, Apple Maps, Yelp, and Facebook. If you’re in a specialized industry, check directories like ZocDoc or FindLaw, too.

Keep a running log of what you fix each quarter.

Over time, patterns will reveal which platforms or regions slip most often. That insight helps you tighten your process and prevent repeat issues.

Step 5. Build Local Backlinks That Actually Move the Needle

With one location, a few chamber of commerce links or directory listings can boost authority.

But when you’re managing dozens of branches, growing that process across your entire network takes more than luck. It takes systems.

Focus on Community and Local Partnerships

Local links help boost visibility and build trust.

They show that real people in each community engage with your business.

So, encourage branch managers to get involved. Sponsor events, join community groups, or collaborate with nearby businesses.

These efforts often lead to natural mentions and backlinks that show local relevance to search engines.

To streamline the process, collect ideas that work and turn them into a shared playbook.

Focus on Community and Local Partnerships

Pro tip: Use your location landing pages as link destinations instead of the homepage. They’re more relevant to searchers in each market and can strengthen those pages’ ability to rank locally.


Systematize Outreach

Multi-location SEO relies on repeatable systems that make expansion easier.

Document what’s working so every branch can replicate it.

Use our Local Backlink Opportunity Tracker as your central database to log outreach, track live links, and measure results across all locations.

Backlinko – Multi-Location SEO Toolkit

Add notes on what type of partnership or content earned each link so others can reuse the same playbook.

Centralize research at the brand level to save time. Identify sponsorship pages, community events, and local publishers that align with your audience before branches start outreach.

Over time, you’ll start to see what works best.

Certain link types, partner categories, or content formats will consistently deliver stronger results.

Use those insights to refine your playbook and make link acquisition faster, easier, and more predictable across your entire network.

Use Tools to Prioritize and Track

Link research tools come to the rescue in automating link opportunity discovery for every branch.

Start with Semrush’s Backlink Analytics to see which local websites link to your competitors. Those same sponsors, media outlets, and directories are strong prospects for your own branches.

Backlink Analytics – Geminihomemodeling – Backlinks

You can also build city-specific prospect lists using searches like “our sponsors” + city name or “community partners” + city.

Try prompting AI tools like ChatGPT or Google’s AI Mode to surface local organizations, events, and publications worth contacting.

ChatGPT – Surface local organizations

Make sure you track every outreach attempt and live link in the Backlink Opportunity Tracker.

Review your data regularly to see which branches or regions are earning coverage and which need extra support.

If some locations have fewer opportunities, that’s normal.

Smaller towns and rural areas often have limited local media or sponsorship options. In those cases, expand your search to nearby cities or regional publishers.

Step 6. Track and Attribute Performance by Location

Tracking performance can get complicated, especially when you’re running a local SEO strategy for multiple locations.

Without clear attribution, you can’t prove which branches — or tactics — are driving results.

Use UTMs + Location IDs Everywhere

Building a consistent local SEO strategy for multiple locations means tracking every branch the same way — from clicks and calls to conversions and revenue.

Multi-location tracking starts with structure.

Add UTM tags to every GBP link, ad campaign, and email.

They make it possible to separate traffic, leads, and conversions by branch inside GA4 and your CRM system.

Use a clear naming convention so you can filter results without digging through rows of messy data.

code icon
utm_source=gbp&utm_medium=organic&utm_campaign=chicago

Tie Calls and Forms to Branches Automatically

Phone calls and form fills are two of the strongest conversion signals in local SEO.

Don’t lose them in a generic tracking setup.

Use tools like CallRail to assign unique phone numbers to each branch. That way, you can see which campaigns and locations are driving calls directly from search or ads.

CallRail – Account home

For web forms or booking widgets, embed hidden location IDs so submissions are tagged automatically to the right branch. It takes a few minutes to set up, but it eliminates hours of manual cleanup later.

Centralize in a Multi-Location Dashboard

You can’t improve what you can’t measure.

Use a platform like Looker Studio. It can combine GBP insights, GA4 data, call-tracking results, and CRM metrics into one dashboard.

Semrush – Position Tracking – Visibility graph

At a glance, you’ll see how all locations perform side by side. Then, drill into individual cities or stores to find what’s working and what needs attention.

Optimize Based on Insights

Once you have consistent tracking, insights start to stand out.

Spot underperforming branches early and dig into the “why.”

Maybe reviews are trending negative, citations are inaccurate, or local pages haven’t been updated in months.

At the same time, identify top-performing branches and replicate their wins across the rest of your network. Share these insights regularly with local managers so strategy and execution stay aligned.

Level Up Your Multi-Location SEO Game

Consistency is the quiet advantage in multi-location SEO.

Why?

Because brands that systemize how each branch builds trust, relevance, and citations win the long game in local search.

In short: The top performers don’t rely on guesswork. They build repeatable frameworks.

If you’re ready to scale smarter, explore our Local SEO Tools comparison.

You’ll find the platforms and features that make local SEO for multiple locations faster, easier, and far more effective — no matter how many branches you manage.

The post Multi-Location SEO: How to Scale Without the Chaos appeared first on Backlinko.

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AEO (Answer Engine Optimization): How to Get AI Generator to Mention my Business

More than half of searches in 2025 don’t lead anywhere. People get answers from ChatGPT, Perplexity, and Gemini without clicking a single link.

Not showing up in those responses? You’re invisible to half the internet.

That’s where answer engine optimization (AEO) comes in. It helps your brand become the answer that AI tools deliver.

This guide breaks down how AEO works, how it compares to SEO, and what steps you can take to make your content more findable across modern search platforms.

Key Takeaways

  • Around 60 percent of searches now end without a click. Answer engines like ChatGPT and Perplexity deliver results without sending users to your site.
  • Answer engine optimization helps your content show up in AI-generated responses and voice search results. 
  • AEO extends your SEO strategy by focusing on visibility in conversational and zero-click search environments.
  • To win in AEO, you need to optimize for direct questions, structured answers, user intent, and authority signals.
  • AI-first search is already shifting user behavior. The earlier you adapt, the more visibility you’ll protect.

What is Answer Engine Optimization?

Answer engine optimization (AEO) makes your content easy for AI tools to find and use as a direct answer.

This started with rich results in Google like Featured Snippets and People Also Ask, but today, AEO is about showing up in a full ecosystem of AI-driven answer engines like ChatGPT, Perplexity, Gemini, and Google’s AI Overviews.

An AI overview.

While there are technically still links as a part of these tools, there’s no guarantee a user will click on them. 

Your content needs to match how large language models (LLMs) process information if you want to appear in those answers. This includes:

  • Natural language clarity
  • Structured data and schema markup
  • Topical authority and entity-level signals
  • Inclusion in knowledge graphs and trusted datasets

These systems rely on machine learning and natural language processing to determine what content best fits the user’s query. If your site structure and content format aren’t optimized for this, you are less likely to be cited.

AEO isn’t some future tactic. It’s how visibility works now.

Why is AEO Important?

Search has changed. It’s not just about blue links on a results page anymore. Tools like ChatGPT, Perplexity, and Google’s AI Overviews are changing how people access information and how brands show up.

The rise of these answer engines has led to a sharp increase in zero‑click searches. In many cases, users now get what they need without ever visiting a website. That means if your content isn’t optimized for those responses, you’re missing visibility.

A chart showing how AI overviews are impacting click rates.

Voice assistants like Alexa, Siri, and Google Assistant work the same way. As generative AI improves by summarizing the web, fewer sources get shown per query, putting more pressure on marketers to be the one selected.

People expect answers fast. They won’t scroll through ten links when one will do. AEO is about aligning your content to that expectation: clear answers, fast.

A graphic showing how AI and traditional search affect decision making.

And the impact isn’t just on organic traffic. AEO boosts brand visibility, strengthens trust signals, and improves discoverability across AI tools and platforms. If you’re investing in SEO but ignoring answer engine optimization, you’re missing opportunities.

How is AEO Different Than SEO?

AEO and SEO work toward the same outcome (getting your content discovered) but the paths they take are different.

Search engine optimization (SEO)focuses on improving rankings within search engine results pages. That includes optimizing technical elements, matching content to user intent, building links, and improving site structure. It’s about increasing visibility across a range of possible results.

Answer engine optimization (AEO) focuses on earning the single, summarized response delivered by an AI system. These systems rely more heavily on structured answers, clarity, and content that fits within specific answer formats. You’re competing for the only spot that gets shown, not position ten.

AEO is often confused with Generative Engine Optimization (GEO), which is related but distinct. GEO focuses on creating content that gets cited by AI tools as a source. AEO focuses on optimizing existing content to be surfaced directly within the answer. Both matter, but they solve different problems.

What Are AI Hallucinations And How Can You Avoid Them?

AI hallucinations happen when tools like ChatGPT give answers that sound right but are completely wrong. This happens when AI pulls outdated, misattributed, or low-quality information when summarizing information.

An example of a ChatGPT hallucination.

In one example, users asked a chatbot for medical advice and received fabricated product suggestions. Other tools have invented studies, misquoted statistics, or pulled misleading content from forums.

The risk increases when a brand has little online authority or inconsistent information across platforms. If the AI can’t verify what’s real, it fills in the blanks and gets it wrong.

To reduce your risk of hallucinated results about your business:

  • Keep your website and public profiles updated with accurate, consistent information
  • Use schema markup and structured data to help AI interpret your content correctly
  • Publish expert-led, well-cited content on topics you want to rank for
  • Monitor where and how your brand is mentioned across platforms

Protecting your brand from hallucinations goes beyond technical fixes. It’s part of owning your visibility.

Strategies For Appearing In Answer Engines

Keywords alone won’t get you featured in AI responses. You need clear, credible, well-structured content that’s easy for machines to understand.

The strategies below are designed to help your site show up in AI summaries, voice results, and other answer-first formats.

Look at Your Existing Answer Engine Visibility

Before you start new optimizations, start by reviewing what’s already working. You may already have content showing up in AI searches like Perplexity, ChatGPT with browsing, or AI Overviews in Google.

Platforms like Ubersuggest Profound track brand and URL visibility across AI answers. These tools show what questions your site already ranks for, what sources AI is pulling from, and where gaps exist.

Ubersuggest's AI visibility feature.

You can also run manual prompts in ChatGPT or Perplexity using branded and non-branded queries. Try asking questions you’d want your content to answer, and take note of what shows up.

This audit shows you where you stand and helps you prioritize. If certain pages are already being pulled into AI results, you may just need small tweaks. If others aren’t surfacing at all, you’ll know where to focus first.

Understand User Intent

Search engines, chatbots, and voice assistants all aim to solve one thing: what the user actually wants to know. That’s where search intent comes in, and it’s a foundational piece of answer engine optimization.

AI tools don’t just crawl your content. They interpret it. If your page doesn’t match the kind of answer a user is looking for, it likely won’t get picked.

Intent typically falls into four categories: informational, transactional, navigational, or commercial. But when it comes to AEO, you also need to understand how people phrase questions. “What is,” “how to,” “best tools for,” and “should I” are all common patterns.

A graphic showing how people search on ChatGPT vs Google.

So how can you learn the intent behind the keywords you’re targeting or ranking for? Keyword research tools, like Ubersuggest and Semrush can help.

Once you understand what search terms your website ranks for, you can dig into the most popular terms. Using Ubersuggest’s Keyword Overview tool, for example, lets you see search volume and SEO difficulty.

Ubersuggest's Keyword Overview Tool.

The keywords in the above screenshot are largely informational. The searcher is hoping to learn more about digital marketing. As we continue to scroll through the list of queries , we begin to see more commercial and transactional results.

Take “digital marketing platforms” as an example:

Digital marketing platforms in Ubersuggest.

There’s certainly some informational intent behind the question, but it’s also possible to be commercial intent. For example, a business who is looking to subscribe to a platform may want to learn more about it so they can make the right decision.

If you’re a digital marketing agency with a platform, and you understand the intent behind that keyword, you can create content that captures the customer within the purchase journey.

Content that targets the transactional intent of this keyword may be a digital marketing platform or tool roundup. You can position your platform as the best option, or even create a post with affiliate links to other relevant platforms.

Intent matters as much as the question itself. This is why you must consider the whole picture when incorporating such keywords into your content.

Use The Direct Question/Answer Format When Applicable

If your content doesn’t look like an answer, AI tools won’t treat it like one. That’s why formatting matters more than ever in answer engine optimization.

Start by identifying the questions your audience is asking. Then give them a direct response near the top of your content, ideally within the first few sentences or paragraphs.

Use clear H2 or H3 headings for common queries. Add a dedicated FAQ section if your topic has multiple related questions. Bullet points, concise summaries, and short paragraphs all help AI models parse your content more accurately.

An AI overview for what is paid marketing.

You’re not just helping users skim. You’re helping machines understand what your content is trying to say and where it fits.

Google’s AI Overviews, People Also Ask, and tools like Perplexity and Gemini all pull from content that’s been structured clearly and answers a defined question.

How certain types of content is pulled into AI overviews.

This is one of the simplest changes you can make to support AEO, and it pays off fast.

Set Up and Update Business Profiles Whenever Possible

Answer engines don’t just scan your website. They also pull from structured data across the web. That includes business directories, local listings, and public profiles.

Tools like ChatGPT and Perplexity can surface business info from places like Google Business Profile, Yelp, Apple Maps, and Bing. If your data is missing or inconsistent, your brand may be excluded from results.

How AI overviews source information about brands.

Make sure your listings include accurate details like name, address, phone number (NAP), hours, and website. Add photos, reviews, and categories where possible. These signals all feed into the authority and relevance AI models look for.

Some key directories to prioritize:

Don’t treat this as a one-time setup. Keep listings up to date, especially if your business has multiple locations or seasonal changes.

The goal is to make it easy for AI systems to confirm your legitimacy and context. You’re giving them structured proof of who you are and what you offer.

Become an Authority In Your Industry

AI systems scan for more than keywords. They look for trusted voices. If your brand is consistently cited, reviewed, and linked to across the web, you’re more likely to be featured in AI-generated responses. When we surveyed a group of marketing professionals who said that optimizing their content to appear in chatbot responses has been a major priority for them, 34 percent had the top goal of building brand awareness and loyalty.

That trust is built through authority. This includes third-party mentions, earned backlinks, expert-led content, and consistent appearances in respected directories or roundups.

Authoritative brands are also more likely to be surfaced in zero-click search, local packs, and answer engine results. Why? Because these platforms want to deliver credible information. If your site has proven expertise on a topic, it’s more likely to be chosen.

To build that authority, focus on publishing effective content, earning brand mentions in your niche, and contributing insights on third-party platforms. Guest posts, research, and interviews can all help grow your presence.

This takes time, but it compounds. The stronger a thought leader you are seen as, the harder it is for AI tools to ignore your content.

Incorporate AI Into Your Content Marketing Strategy

AI is changing how people search and how we create content. Used correctly, it can help you build pages that are more likely to surface in answer engines.

Start by using tools like ChatGPT to test your topic coverage. Ask sample questions your audience might type into an AI search. What comes up? If your site isn’t mentioned, or the answers are thin, you’ve found a gap to fill.

Many marketers are already leaning into this. In a survey we ran, over 81 percent of professionals optimizing for AI responses said they had been incorporating AI into their business processes for six months or more.

A graphic showing how long marketers have been incorporating AI into their business processes.

The top use cases included improving efficiency, sparking innovation, and enhancing customer experience. But AEO-focused content creation is where AI can deliver quick wins.

You can use AI to generate question-based outlines, draft summaries, or test how clearly your answers come across. Just don’t skip the human layer. Tools can help you move faster, but high-quality content still requires expertise.

Implement Schema Markup

Schema markup helps AI tools understand your content better. That can make the difference between being ignored or included in an answer.

Schema is a form of structured data that tells search engines and AI systems what your page is about. It adds a layer of clarity in the background without changing how your content looks to users.

For example, if you have a FAQ section, adding FAQ schema helps Google and answer engines extract that content more confidently. The same goes for how-to schema, product schema, article schema, and organization schema.

The more structured your content is, the easier it is for AI to match it to the right query. Schema also increases your chances of appearing in AI Overviews, People Also Ask, and AI-generated summaries.

You don’t need to add schema manually. Most SEO plugins, like Yoast or Rank Math, include built-in schema tools. There are also free generators available online if you want to apply it page by page.

Think of schema as a translator between your content and the AI tools deciding what gets shown. The clearer your signals, the better your visibility.

Review and Monitor Your AEO Progress

Answer engine optimization isn’t a one-time fix. Once you implement AEO strategies, you need a plan for tracking performance and making improvements.

Set a regular schedule to check whether your content is being picked up by AI tools. Look for patterns in which pages get cited, what queries they appear for, and where your visibility drops off.

This doesn’t require complex reporting. You can track progress using a simple spreadsheet, noting the presence or absence of your brand in AI summaries across key queries.

When something stops appearing, that’s your signal to re-optimize. Refresh the content, clarify the structure, or align it more closely with search intent. If something continues to perform well, look at what’s working and replicate that approach elsewhere.

AEO is still evolving, which makes monitoring even more important. The brands that adapt fastest will stay visible the longest.

What Factors Matter Most for ChatGPT Recommendations?

We ran a study to understand why ChatGPT recommends certain brands in its responses. After testing over 80 possible factors, six rose to the top.

Brand mentions: The more your brand is cited across the web, the higher the likelihood ChatGPT will surface it.

Reviews: Quality and volume of customer reviews, especially on third-party sites, play a major role.

Relevancy: If your site’s keywords match the user’s query, and the page offers helpful context, you’re more likely to get picked.

Age: Older, more established brands tend to be trusted more often by AI models.

Recommendations: Listicles and curated “best of” roundups (even those using affiliate links) still influence ChatGPT outputs.

Authority: High-authority domains with credible backlinks and consistent content earn more inclusion in AI answers.

You can’t control every factor, but you can influence most of them by building strong, reliable content that other sites and users want to reference.

FAQs

What is answer engine optimization (AEO)?

Answer engine optimization is the process of improving your content so it appears in AI-generated answers. It focuses on clarity, structure, authority, and accuracy—so tools like ChatGPT, Perplexity, and Google’s AI Overviews can pull your content as a trusted response.
It builds on traditional SEO but adapts it for zero-click and conversational search experiences.

How do I do AEO?

Start by identifying the types of questions your audience is asking. Then create clear, concise answers—formatted with proper headers, schema markup, and supporting data. Use tools to track which content appears in AI results, and optimize based on visibility gaps.

Focus on building authority and publishing quality content that answer engines can trust.

What are the key differences between AEO and traditional SEO?

AEO is about getting your content pulled into AI-generated responses. SEO is about ranking in search engine results pages. Both use similar tactics, but AEO requires more structured, answer-ready content.

Conclusion

AI is already reshaping how people search, and answer engines are gaining traction fast. If your content isn’t built for these platforms, you’re likely losing visibility—even if you’re ranking well in traditional search.

The good news: if you’ve been investing in SEO, many of the foundations are already in place. AEO simply takes it further, focusing on clarity, structure, and intent.

Tools like Ubersuggest can help you find question-based keywords, track content performance, and identify optimization gaps. From there, it’s about building better answers—and making sure they’re easy for AI to find.

Now is the time to get proactive. The longer you wait to adapt, the harder it’ll be to catch up.

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