Google has added multimodal capabilities to its new AI Mode feature, letting you ask your questions with the assistance of uploading an image. Plus, Google announced it is rolling out AI Mode to millions of more Labs users in the U.S.
AI mode with images. Google AI Mode now lets you upload an image via upload or your camera to ask AI Mode questions with images. Google calls this multimodal capabilities, which is launched years ago in other areas of Search.
“With AI Mode’s new multimodal understanding, you can snap a photo or upload an image, ask a question about it and get a rich, comprehensive response with links to dive deeper,” Robby Stein, VP of Product, Google Search wrote. He added:
“AI Mode builds on our years of work on visual search and takes it a step further. With Gemini’s multimodal capabilities, AI Mode can understand the entire scene in an image, including the context of how objects relate to one another and their unique materials, colors, shapes and arrangements. Drawing on our deep visual search expertise, Lens precisely identifies each object in the image. Using our query fan-out technique, AI Mode then issues multiple queries about the image as a whole and the objects within the image, accessing more breadth and depth of information than a traditional search on Google. The result is a response that’s incredibly nuanced and contextually relevant, so you take the next step.”
What it looks like. Here is what it looks like in action:
Millions more gain access to AI Mode. Google said, “we’ve now started to make AI Mode available to millions more Labs users in the U.S.” I mean, I am not sure if this is new. We saw Google expand access to those who do not have Google One AI Premium subscriptions a couple of weeks ago. And then last week, Google invited a third batch of users to AI Mode.
So maybe Google is opening up a fourth batch of invites today?
Why we care. Google’s new AI Mode does feel like the future of search, in many ways. So it is important that you all try it out as soon as you can, and watch it as it adapts.
Soon you may all be looking for ways to get traffic from AI Mode as opposed to just Google Search and AI Overviews.
https://i0.wp.com/dubadosolutions.com/wp-content/uploads/2025/04/google-ai-mode-lens-aP1qus.gif?fit=600%2C750&ssl=1750600http://dubadosolutions.com/wp-content/uploads/2017/05/dubado-logo-1.png2025-04-07 16:00:002025-04-07 16:00:00Google AI Mode lets you ask questions with images
We aim for every article we publish to meet — or exceed — Google’s helpful content standards.
And you can, too.
After reading this article, you’ll have 10 Google-approved strategies for creating people-first content.
You’ll also see examples from real sites that excel at creating helpful content.
Plus, you’ll get a free checklist to ensure your pages meet Google’s quality standards.
Let’s start by understanding what “helpful content” is in Google’s eyes.
What Is Helpful Content?
Helpful content delivers what a searcher needs, whether they’re seeking information, researching options, or ready to buy.
It’s content written for people — not search engines.
But what was the Google Helpful Content Update (HCU)?
First launched in 2022, Google’s helpful content update was designed to reward people-first content while filtering out pages created primarily for search engines.
According to Google, helpful content does the following:
Provides trustworthy information backed by genuine expertise
Delivers substantial value compared to competing results
Demonstrates firsthand experience with the topic
Creates a satisfying user experience
Serves a purpose beyond just ranking in search
Google uses a site-wide classifier. It checks your whole domain, not just single pages, for helpfulness.
This means a significant amount of low-quality content can drag down even your best pages.
The biggest changes to this algorithm update took place in late 2023 and early 2024. Some sites lost A LOT of organic traffic.
Google confirms it reduced low-quality content in search results by a staggering 45%.
The sites hit hardest by these updates were:
Content-only websites with no actual products or services
Sites creating articles purely for search traffic
Affiliate sites with thin content and/or a high monetization-to-informational content ratio
The HCU aftermath sparked lots of debate about whether or not these updates were truly “helpful.”
And if the declines and deindexings were warranted.
And as the makers (and breakers) of rankings, following their guidelines is essential.
As of March 2024, the helpful content update is no longer a thing.
But helpfulness isn’t going away. The HCU is now integrated into Google’s core ranking systems.
Bottom line?
Creating helpful content is vital for your survival in search.
10 Ways to Create Helpful Content That Google Rewards
There’s no sugarcoating it:
Creating exceptional content is hard work.
But it can pay off through high rankings and targeted traffic.
Download our Helpful Content Checklist to follow along as you read. Use it before hitting publish to ensure your content meets Google’s quality standards.
1. Incorporate Firsthand Experiences
Want to instantly make your content more helpful?
Add personal stories and examples (real ones — not AI-generated).
Why?
Because it shows you actually know what you’re talking about — which is exactly what Google’s E-E-A-T guidelines (experience, expertise, authoritativeness, trustworthiness) prioritize.
Google advises against generic, regurgitated advice on its website:
By including personal experiences in your content — including your successes and failures — you’ll create the kind of content search engines reward.
And your target audience wants to read.
Take this backlink guide from Backlinko founder Brian Dean, for example:
Brian didn’t just give generic advice like “create great content” or “reach out to bloggers.”
He shared specific tactics and advice that actually worked for him, including:
Real email templates he’s used for outreach
Screenshots showing actual results
Step-by-step instructions
Tool recommendations
Specific case studies with traffic metrics
The result?
Content that feels like you’re learning from someone who’s been there, done that — not canned advice you can find on any site.
No wonder this guide has maintained high rankings for years.
And generated 31.5K backlinks.
Pro tip: When sharing personal experiences, focus on specific outcomes and measurable results. Google’s E-E-A-T guidelines value demonstrable expertise. So, don’t just say, “This worked for me,” explain exactly how and in what timeframe. Include photos and screenshots when possible to back up claims.
2. Add Expert Insights and Quotes
Expert quotes add authority and new perspectives to your content.
They also help you meet Google’s helpful content expectations by providing insights readers can’t find elsewhere.
Even if you have personal experience with a topic, expert opinions add dimension and alternative perspectives that make your content more comprehensive and helpful.
Expert quotes strengthen your content in multiple ways:
Add credibility to your claims
Provide unique insights
Create content that’s difficult for competitors to replicate
For a great example of this in action, look at pet company Chewy.
Their content often contains insights from board-certified veterinarians and animal behaviorists.
This makes it more authoritative and trustworthy.
Source expert insights through:
Original interviews (via email, phone, or video)
Reaching out to experts on LinkedIn, X, or industry-specific sites and forums
Attending industry events and networking for insights
As Nate Matherson, head of growth at Numeral, says:
When writing blog posts, I often source expert insights from leaders in the SEO industry for my weekly SEO podcast, Optimize. For example, after interviewing Ethan Smith, the CEO of Graphite, on my podcast, I repurposed one of his quotes about topical authority to use in a blog post on the same topic.
3. Create Content That Meets Search Intent
Understanding and satisfying search intent is fundamental to helpful content.
For example, if someone searches “how to fix a leaky faucet,” they want clear, step-by-step instructions — not a sales page for plumbing services.
Content that addresses their actual goal (fixing the faucet themselves) will be considered more helpful.
But first, you need to understand the four main types of search intent:
Informational: Seeking knowledge — “how to fix a leaky faucet”
Navigational: Looking for a specific website — “Home Depot plumbing”
Commercial: Researching options — “best tankless water heaters”
Transactional: Ready to buy — “buy Moen touchless kitchen faucet”
Not sure if you’re creating people-first content that meets search intent?
After reading your content, will someone leave feeling they’ve learned enough about a topic to help achieve their goal? Will someone reading your content leave feeling like they’ve had a satisfying experience?
If the answer to either question is “no,” your content isn’t fully addressing search intent.
To better meet search intent:
Analyze the current top-ranking pages for your target keywords
Note what format dominates (guides, lists, videos, etc.)
Demonstrate topical authority by addressing all relevant subtopics and common pain points in your content
Start your keyword research
Explore the largest keyword database.
4. Use Reputable Sources
Using high-quality sources (and citing them) is important for all sites.
It signals to readers and search engines that the information you’re sharing is reputable, accurate, and verifiable.
Well+Good, a wellness site, demonstrates this in its article about medication safety:
They support every health claim with information from:
Board-certified psychiatrists
Professors of psychiatry and behavioral sciences
Peer-reviewed medical journals
Reputable health resources, like .gov sites.
When evaluating sources for your content, follow these best practices:
Prioritize recognized authorities in the field (major universities, established publications, industry leaders)
Check publication dates to ensure information is current
Check that you’re referencing the original source of the information
Look for potential conflicts of interest or bias in the source’s funding or affiliations
Google’s E-E-A-T guidelines place heavy emphasis on trustworthiness.
And nothing builds trust faster than showing readers you’ve based your information on solid, reputable sources.
5. Hire Writers with Topical Experience
When it comes to helpful content, experience matters.
So, prioritize writers with backgrounds in your niche over generalists.
This will benefit your content in multiple ways:
More practical, nuanced advice that only comes from hands-on experience
Insider tips that readers can’t find on other sites
Real examples and case studies that build immediate trust
For example, Harvard Health Publishing features physicians as their content creators.
These writers have impressive qualifications.
Including clinical experience, research credentials, and specialized knowledge in their medical fields.
This level of expertise is particularly important for Your Money, Your Life (YMYL) topics, where accuracy directly impacts reader well-being.
But experienced writers are valuable across all blog niches, from beauty to travel.
For instance, Family Vacationist, a travel blog, features contributors who have personally visited the destinations they cover.
This is evident by the insider tips they give.
Including advice on the best rides for kids, the tastiest treats in theme parks, and which hotels to stay at and why.
Family Vacationist also highlights its writers’ experience in bios.
Including relevant publications where they’ve been featured.
Even if you already have experienced writers, an expert review process will add another layer of credibility to your content.
Have subject matter experts fact-check your information
Include reviewer credentials directly in your content
Highlight your review process on your editorial standards page
For example, home services company Angi has experts review its content and features them prominently with a byline.
The expert reviewer also gets a bio to highlight their qualifications.
Investing in topic experts signals to readers and search engines that you’re committed to delivering accurate content and genuine value, not just ranking for keywords.
Pro tip: Create a database of expert reviewers categorized by specialty, experience level, and publication history. When new content needs arise, you’ll know exactly who to contact for a review.
6. Provide an Optimal Page Experience
Page experience is a critical component of helpful content.
If your page loads slowly or is hard to navigate, readers will leave. It doesn’t matter how good your information is.
But as Google states on its website (in slightly different words), doing the bare minimum won’t cut it.
For the best results, cover all aspects of the page experience rather than focusing on isolated elements.
Here’s how:
Analyze Your Current Performance
Use PageSpeed Insights and Google Search Console’s Core Web Vitals report to establish your baseline metrics.
If your assessment fails, follow the tool’s recommendations to improve these metrics.
Like reducing unused JavaScript and third-party code.
Pro tip: Use a tool like Semrush’s Site Audit to get weekly updates about your site’s technical performance. You’ll get automatic updates about issues affecting page experience, including loading speed, crawlability, broken links, large files, and more.
Optimize Images
Compress images without sacrificing quality using tools like TinyPNG, ImageOptim, or built-in CMS optimizers.
This will keep your images from dragging down your page speed.
Test Across All Device Types
Ensure your site has a responsive design that works across desktops, tablets, and various mobile screen sizes.
Use Chrome DevTools or BrowserStack to test how your site performs on popular devices and browsers.
Pay special attention to touch targets on mobile.
Check that buttons and links are easily tappable without accidental clicks.
Improve Security
Use HTTPS across your entire site to build user trust and meet Google’s requirements for secure browsing.
Google Search Console’s HTTPS report will tell you if your pages are secure. (And what to fix if they’re not.)
You’ll also want to configure proper SSL certificates and ensure all resources load securely.
Optimize Above-the-Fold Content
Prioritize loading essential above-the-fold content (aka content that appears on a webpage before scrolling) to capture web visitors’ attention.
And draw them to your most important content or assets.
Minimize unnecessary elements that push key content below the fold, especially on mobile devices.
Balance Monetization with User Experience
If you use display ads, ensure they don’t trigger layout shifts, overwhelm content, or create friction points for readers.
Reserve space for ads in your layout to prevent content jumps when they load.
7. Seek Information Gain (aka Bring Something New to the SERPs)
Google hasn’t said that “information gain” is a ranking factor, but it aligns with their emphasis on adding value to search results.
Information gain means adding something new to the topic. Something readers can’t find anywhere else.
I’ve mentioned some information gain methods already, like firsthand experiences and expert quotes.
But there are other ways to achieve information gain, including the following:
Original research: Survey your audience or industry and publish the findings
Proprietary frameworks: Develop your own scoring system or methodology
Product testing: Go beyond specs to share real-world performance
For example, the finance site NerdWallet goes to great lengths to thoroughly review different financial products.
Like credit cards, savings accounts, and personal loans.
As part of that effort, they created a NerdWallet star rating methodology.
But they don’t use a one-size-fits-all rating system.
They created separate methodologies for each financial product category.
Why?
Because different factors matter for different financial decisions.
They also published detailed explanations of how they weigh different factors in their rating system.
This helps give their star rating system more credibility.
You’ll see these ratings on various NerdWallet reviews to help readers choose the best products for their needs.
Like this one for a credit card:
The key takeaway here?
Information gain often requires a significant upfront investment.
Whether in time, money, or both.
But it leads to something valuable: content that competitors can’t replicate overnight.
8. Refresh Existing Content
Creating new content isn’t always the best strategy.
Sometimes, updating what you already have delivers better results with less effort.
Fresh, comprehensive content shows Google you’re committed to quality and accuracy.
It can also help boost your rankings.
In my experience, updating existing content often delivers faster traffic gains than creating new pieces. A blog post I wrote for Positional about title tags basically sat in the same SERP position for nine months. After revamping the post with additional information, it shot up in rankings almost immediately — and the ranking and traffic gains have held.
When refreshing content, prioritize these improvements:
Update statistics and examples with current data
Enhance visuals and formatting for a better user experience
Incorporate new expert insights or research
Fix outdated advice or recommendations
Target evolving search intent
Warning: Updating old content with a new date to appear “fresh” without substantial changes won’t fool Google. Focus on genuine updates that add new value, insights, or relevant information to improve the reader’s experience.
9. Create Helpful Graphics and Videos
Helpful content doesn’t just mean the words on the page.
Graphics and videos can also be valuable additions that improve reader comprehension and engagement.
When creating visuals for your content:
Focus on clarifying complex ideas, not just adding decoration
Create custom graphics rather than using generic stock images
Ensure videos add unique value beyond what’s in the written content
Google is crediting its AI advancement, such as Gemini, to help detect and remove fake reviews and listings within Google Maps. “AI has been a pivotal tool in helping us stop scammers in their tracks, and we’re now using it to scale our protections even more,” Google wrote.
The metrics. Google shared these metrics for its battle over Google Maps spam:
Google blocked or removed more than 240 million policy-violating from 2024. Google added that “the vast majority of which were removed before they were seen.”
Google blocked or removed more than 70 million policy-violating edits to places on Google Maps.
Google removed or blocked more than 12 million fake Business Profiles.
Google placed posting restrictions on more than 900,000 accounts that repeatedly violated our policies.
When you compare the metrics to last year’s report, Google removed about 40% more policy-violating reviews.
Disabling reviews. Google also spoke about its newish feature to disable the ability to post reviews on some business profiles. The notice says “Posting reviews is turned off for this place” and was actually launched in December 2023, from what I can tell. But Google seems to be mentioning it now.
Google said it “rolled out alerts in the U.S., U.K. and India to let you know if we’ve recently removed suspicious five-star reviews in certain circumstances. These warnings — which will expand globally starting next month — help you understand quickly if a place may be engaging in unfair review practices.”
Here is what it looks like:
Crediting Gemini. Google said:
“AI has been a pivotal tool in helping us stop scammers in their tracks, and we’re now using it to scale our protections even more. Last year, we removed over 10,000 listings managed by a group of bad actors who impersonated real locksmiths to take over unclaimed Business Profiles and overcharge unsuspecting customers. Beyond removing the fraudulent content, we filed a lawsuit against the bad actors and are actively applying what we learned to enhance our detection systems.”
“This new model has already helped us block thousands of suspicious Business Profile edits this year,” Google added.
Why we care. If you are in the local SEO space, none of this is probably new to you. You’ve all seen the swarm of complaints about business edits placing a business in a suspension, reviews not being able to be added to a business profile, listings confusion and so much more.
Much of this is likely associated with Google’s new methods to detect and fight spam on Google Maps. Some of these changes may be a bit overzealous but Google has a tough job with fighting spam on Google Maps.
https://i0.wp.com/dubadosolutions.com/wp-content/uploads/2025/04/google-reviews-places-scaled-KLXTzd.jpeg?fit=2019%2C2048&ssl=120482019http://dubadosolutions.com/wp-content/uploads/2017/05/dubado-logo-1.png2025-04-07 13:00:002025-04-07 13:00:00Google credits Gemini for better detection of fake business reviews and maps spam
You need compelling titles and meta descriptions to attract visitors from search results and encourage users to click. Manually writing these elements for every page can be quite challenging. Generative AI can streamline this process by automating it. However, you should check the AI-generated suggestions critically. This post will show various methods for generating effective titles and meta descriptions using generative AI for SEO.
Titles and meta descriptions act as your web page’s representatives in the SERPs. These snippets are often the first impression users get of your content, impacting their decision to click and explore further. Therefore, engaging titles and meta descriptions are key to capturing attention, showing relevance, and getting users to visit your site. Generative AI can help write effective ones. When done correctly, integrating generative AI with SEO can be very beneficial.
Improving click-through rates (CTR) and UX
Titles and meta descriptions that sell your content help improve click-through rates. Compelling titles and descriptions are relevant to the users’ search query, which helps them to click on your link.
A higher CTR signals to search engines that your content is valuable, which could lead to more traffic. Moreover, describing the essence of your content helps users find what they’re seeking. This could lead to more engagement, more time spent on your website, and, ultimately, SEO success.
A helpful AI tool in Yoast SEO Premium
Experience the benefits of generative AI and make your work simpler today!
While you invest time and effort in writing titles and meta descriptions, it’s important to note that Google often rewrites them on the SERPs. Therefore, there’s no guarantee that your carefully written titles and meta descriptions will always appear as intended.
Google often thinks it knows how to present your site best. It tends to rewrite stuff to provide users with the most relevant and informative snippets that align with their search intent. Thus, it may rephrase or modify a title or meta description if it believes its version matches the user’s query or accurately represents the content.
Although Google’s rewriting will happen, optimizing your titles and meta descriptions remains useful. Generating good, relevant content increases the likelihood that Google will use your title and meta description.
Use the AI in Yoast SEO Premium to generate titles
Yoast SEO uses AI to generate titles and meta descriptions. Imagine not having to struggle with writing the perfect meta descriptions and titles. Our advanced AI does it for you! It’s designed to understand your content and create engaging titles and descriptions that boost your performance.
The AI feature of Yoast SEO helps you find awesome titles and meta descriptions quickly
Using generative AI to create powerful titles
For SEO, generative AI is a helpful tool for automating the writing of optimized titles. Using state-of-the-art generative AI models like GPT-based models, we can improve our work and generate tailor-made titles for our target audience.
Did you know?
Learn about generative AI and SEO at Yoast SEO Academy
Want to learn how to adapt SEO content strategies for AI? Looking to gain a competitive advantage by integrating AI tools? Check out our training course on AI for SEO!
How to evaluate AI-generated titles
Getting models to spit out titles is not hard, but what comes next is more important. You should check for relevance, keywords, length, uniqueness, and branding when evaluating AI-generated titles. Your titles should be effective and appropriate for your content:
Clarity and relevance: The title should accurately convey the subject and main focus of the content. It should tell what the page or article is about so that users can see how relevant it is before clicking on it.
Keyword optimization: Incorporate relevant keywords that fit the content and help search engines understand it. However, keep the title natural and readable, avoiding keyword stuffing or over-optimization.
Length and readability: The title must be within a certain length to be fully displayed. It must also be easy to read, with proper grammar and punctuation, so users can quickly understand it.
Engaging and unique: Titles that stand out are more likely to attract clicks. Use AI-generated titles that evoke curiosity, offer a benefit, or create a sense of urgency. Always try to make your titles unique and different from those of your competitors.
Brand consistency: Check if the AI-generated title aligns with your brand voice and guidelines. Make sure it represents your brand’s personality and values while being consistent across your content.
Remember, there’s still no substitute for human experience. Please take the time to manually improve the work of the generative AI tool of your choice.
Using AI-generated meta descriptions
Titles are not the only things you need to look at, as meta descriptions also play an important role. These summaries get users to click on your link and explore your website. You can optimize your meta descriptions using generative AI to be engaging, informative, and aligned with search intent.
Check the AI-generated meta description
Here are a few aspects to consider when checking AI-generated meta descriptions. In general, look for relevance, length, clickability, and if it has the correct tone of voice.
Ensure that the generated meta description accurately reflects the page’s content for relevance. Verify that the description captures the main topic or purpose of the page and includes relevant keywords or phrases that users might search for.
Looking at length and readability, you should check the length of the generated meta description. Make sure it falls within the desired character limit (around 150-160 characters). Check the readability and clarity of the text so it flows smoothly and is easy to understand for users. See if the message comes across in this short piece of text.
Clickability is important. Consider whether the generated meta description is likely to attract user clicks. Does it address the user’s search intent, highlight the page’s proposition, or create a sense of curiosity or urgency? Aim for attractive descriptions that encourage users to click through to your website.
Another aspect is tone and brand voice. Review the tone and style of the generated meta description to ensure it aligns with your brand voice and messaging guidelines. Does it accurately represent your brand’s personality and values? Make any necessary adjustments to maintain consistency.
Checking generated content using human expertise
Once you have your AI-generated titles and meta descriptions, check these for quality, relevance, and alignment with your objectives. Manual review and refinement from an expert are vital in perfecting the generated content.
Reviewing for quality and coherence
Begin your evaluation by checking the generated titles and meta descriptions for quality and coherence. Assess the language, grammatical correctness, and overall readability. Identify inconsistencies or errors that make the content difficult to understand. By making necessary edits, you improve the quality of the generated content.
Check relevance to content and context
While reviewing the generated output, evaluate its alignment with its content. Consider the specific web page and its context to ensure the generated content accurately portrays the page’s main topic, theme, or purpose and adjust where necessary.
Check brand voice and message
Like any other content, aligning the generated titles and meta descriptions with your brand’s voice, messaging, and tone is critical. Assess how the generated content reflects your brand’s personality and if it resonates with your] audience. Make edits to add your brand’s unique identity to the content while preserving readability.
Optimize keyphrase integration
See if the generated titles and meta descriptions have your target keyword phrases. Keywords play a crucial role in optimizing your content for search engine rankings. Check if the generated content naturally integrates the keywords and their variations.
Analyzing user engagement metrics
In addition to manual review, you should also analyze user engagement metrics to assess the effectiveness of the generated titles and meta descriptions. Monitor impressions, click-through rates, bounce rates, and time spent on the page to understand their impact. Compare the AI-generated content’s performance against alternative variations to determine the best-performing options.
Incorporating human input and expertise
While generative AI can help generate titles and meta descriptions, you shouldn’t underestimate the value of human expertise. Generative AI models are trained on data but lack intuition and an understanding of contextual nuances. By implementing manual review and refinement, you can add your creative insights, industry-specific knowledge, and brand context to the content.
Balancing SEO optimization and user value
Using generative AI for generating titles and meta descriptions is balancing between search engine optimization and delivering value to users. This can help your content perform well in search results while providing your audience with an engaging and meaningful experience.
Understanding user intent
To strike the right balance, understand the intent behind user searches. Analyze the keywords and search queries relevant to your content and consider users’ motivations and expectations when they land on your page.
Providing clear and concise information
When writing, please make sure your titles and meta descriptions tell what users can expect from your page. Clearly outline your content’s main topic, purpose, or value proposition. Use concise language to capture users’ attention and encourage them to click through.
Showcasing unique selling points (USPs)
Titles and meta descriptions are excellent opportunities for your unique selling points. What sets your page or product apart from the competition? Does it offer a unique perspective, in-depth analysis, or insights? By using these selling points in the content, you entice users and demonstrate the value they stand to gain by visiting your page.
Engaging and connecting with users
Titles and meta descriptions help user engagement. Use compelling language, emotional triggers, and storytelling elements that resonate with your audience. Emphasize the benefits, solutions, or outcomes users can achieve by interacting with your content. Stir curiosity or create urgency that helps users to click through and explore further.
Prioritizing readability and usability
Prioritize the readability and usability of your titles and meta descriptions. Use clear and concise language, making information easily understandable. Structure the content in a scannable format, and use proper punctuation and well-defined sections. Make sure the generated output doesn’t compromise readability by focusing solely on optimization.
AI for titles and metas, with a human in the loop
Generative AI can simplify and optimize the creation of titles and meta descriptions. You can save time, improve click-through rates, and elevate user engagement using AI. Yoast SEO Premium has a helpful AI tool that lets you generate titles and meta descriptions with the click of a button.
However, it’s crucial to remember that AI should improve human expertise, not replace it. Combine the creativity of human writers with generative AI to create titles and meta descriptions that are optimized, captivating, and valuable to users.
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With customers now discovering content across traditional search engines, LLMs, social media, and beyond, the need for an integrated, omnichannel strategy is more important than ever.
Relying on isolated channel strategies no longer works.
Customers engage with brands across multiple touchpoints before making decisions, and they expect seamless, personalized experiences.
An effective omnichannel approach aligns all marketing efforts – ensuring consistency, maximizing visibility, and driving meaningful interactions.
As omnichannel marketing continues to evolve, integrating SEO across all channels is essential for sustained growth.
This article explores why a unified strategy is critical and how SEO can work across channels to enhance the customer journey and drive results.
Why an omnichannel approach to SEO is critical in 2025
Here are seven trends that make an omnichannel approach vital to business success and growth.
1. The shift away from third-party cookies
The decline of third-party cookies has made it harder for brands to track users across the buyer journey.
An omnichannel approach to data collection and centralization helps mitigate these challenges and lays the foundation for an effective strategy.
2. Growth of LLMs and AI-powered search
The growth of alternate avenues for audiences to find information adds to the complexity of the buyer’s journey.
This presents additional attribution challenges.
3. Zero-click searches and decreasing top-funnel traffic
Due to the rise in zero-click searches,traffic to websites from top-of-the-funnel information-seeking terms is declining.
4. Importance of SEO
Despite the growth in zero-click searches, SEO remains the primary source of traffic for most businesses and the channel with the highest long-term ROI.
AI Overviews and AI-generated results mainly pull information from the top organic results.
5. Search is multi-modal
This means written content is not the only content you need to optimize.
Personalization is key to customer engagement. Up to 71% of consumers expect it, while 76% find generic content frustrating, per a McKinsey study.
Businesses that prioritize personalized marketing can see up to a 40% increase in revenue.
An omnichannel approach ensures marketers focus on customer intent rather than marketing channels.
7. Unified customer experience with agent economy
The growth of artificial intelligence has resulted in the emergence of an agent economy, where AI agents are beginning to revolutionize marketing and digital experiences.
They can easily connect dots across multiple channels to deliver a unified customer experience.
Tackling the visibility dilemma in customer journeys
With all the changes in the industry, consumer behavior, and technological advancements, we need to answer important questions that marketers are confused about.
How can you learn about audience intent even when they do not visit the site after a search?
How do you gather data on your audience’s behavior after they leave your site if they do not convert during their first visit?
How can you develop effective SEO, paid, zero-click, and content strategies with limited visibility into the customer journey and insights into customer intent and personas?
How can you provide personalized experiences without third-party data, limited traffic, and visibility into your customers’ journeys?
This is where an omnichannel approach can help businesses enhance visibility, drive meaningful interactions, and create a seamless path to conversion.
Building blocks of an omnichannel strategy
A true omnichannel strategy is no longer limited to traditional marketing channels like SEO, paid, email, social media, etc.
Today, it is about delivering a unified experience at every stage in the customer journey at every touchpoint.
It includes effectively using channel-agnostic strategies and tactics, such as personalization, AI agents, conversion optimization, A-B testing, and co-optimization.
Here are five building blocks for creating an omnichannel strategy that truly engages your audiences consistently across touchpoints in an AI-powered world.
Reliable data
Ensure you have the necessary infrastructure to gather and segment customer data accurately.
Having a digital asset manager that lets you centralize, optimize, and distribute all your digital assets across marketing channels is key to ensuring consistency and reducing duplication.
Search-friendly infrastructure and content management system are crucial for effectively crawling and indexing your content, and delivering an engaging, personalized experience to your visitors.
9 steps to integrating SEO into an omnichannel customer journey
You can start developing your omnichannel strategy while closing any gaps you have identified in the building blocks.
Step 1: Audience and intent mapping
Start with your audience and intent. Identifying target audience personas and their intent is the first step in audience mapping. It is important to review:
Content performance: Evaluate performance of page types or templates to understand gaps in content strategy (e.g., category pages vs. product details pages vs. location pages vs. blog content).
Search engagement insights: Search console data can help identify high-intent terms with low click-through rates. This information can inform zero-click and CTR optimization strategies.
Channel overlaps: Identifying how visitors overlap across channels is key to crafting an integrated and unified experience. For example, paid and organic channels must work together to saturate the full funnel and maximize ROI from both channels.
Conversion optimization: Content with high engagement can provide insights into visitor intent. This can help define A-B tests, UI/UX enhancements, and personalization strategies.
Step 2: Define clear strategic goals
The next step is to have clear and smart goals that you want your omnichannel strategy to achieve:
Set specific, measurable business objectives (revenue growth, customer retention, growing market share, etc.)
Establish key performance indicators (KPIs) for channel-specific and overall performance. For example, if the goal is to improve visibility, the primary KPIs should be around impressions, clicks and rich results visibility. Traffic or conversions can be secondary KPIs but should not be the primary success criteria.
Create baseline metrics to measure improvement against current performance.
Develop a measurement framework that accounts for cross-channel attribution challenges.
Step 3: Map the customer journey across all touchpoints
Traditional funnel is changing rapidly.
Brands should be ready to respond to customers across all touchpoints fast and with quality.
Develop a comprehensive understanding of how customers interact with your brand:
Create detailed personas representing your target audience segments.
Identify patterns in cross-channel journeys using path analysis in analytics and create common use cases.
Aggregate and centralize data across customer touchpoints (website analytics, CRM, sales data, app usage, etc.)
Segment customers based on behavioral patterns rather than just demographics.
Quantify the value/attribution as a combination of different journey paths and touchpoints.
Measure channel preference and effectiveness across different customer segments.
Step 4: Omnichannel audit
Based on your goals and journey maps, evaluate your current channel gaps and capabilities:
SEO audit: Analyze search visibility metrics, technical health scores, and overall SEO performance.
Content audit: Measure content performance data, topical and entity coverage, competitive gaps, engagement rates, conversion impact, and cross-channel content effectiveness.
Local presence assessment: Evaluate local search visibility metrics and location-specific engagement.
Experience audit: Analyze drop-off points and measure cross-channel friction.
Data and technology assessment: Evaluate data collection and measurement framework to optimize your data infrastructure.
Full-funnel audit: Learn from your visitors. Past visitor data can provide meaningful insights into audience segments, what visitors engage with, and where they drop off in the conversion funnel. This can help identify opportunities for co-optimization, A-B tests and delivering personalized experiences across channels.
Step 5: Develop your integrated channel strategy
Here, focus on aligning your channels to ensure they work together seamlessly and support your overall business goals.
Prioritize channels according to attribution data and customer value metrics.
Leverage machine learning and predictive analytics to forecast the impact of each channel.
Use predictive analytics to determine the optimal channel mix.
Set channel-specific targets that ladder up to overall business objectives.
Create frameworks for continuously testing and validating channel effectiveness.
Define how channels will complement and support each other across the customer journey.
Step 6: Content orchestration strategy
While a content strategy focuses on what content is needed, a content orchestration strategy also encompasses distribution frameworks that enhance audience interaction with your content.
Friction analysis
Analyze how your audience engages with your content to identify friction points. This process helps you identify, rectify, and optimize:
Inconsistencies.
Intent misalignments.
Delivery mechanisms (text, images, video, etc.).
Content intelligence
Assess the performance of your existing content across various channels and identify competitive gaps and opportunities based on audience personas and business goals.
Here are a few steps to evaluate content gaps and refine your strategy:
Identify underperforming content for optimization.
Spot gaps in content that need to be addressed across channels and stages of the customer journey.
Recognize cross-linking opportunities to create content hubs.
Prioritize new content to close competitive gaps and achieve business goals.
Cross-channel content strategy
After identifying friction points and content gaps, develop a tailored content strategy for each channel, prioritizing based on business goals:
Broader informational content to enhance awareness during the discovery stage of the customer journey (e.g., social media, blog content).
Comparison content for the consideration stage (e.g., product pages).
Landing pages focused on specific buying-intent terms during the conversion stage.
Content optimization
Optimizing content extends beyond targeting the right keywords. Your content optimization strategy should include:
Closing topical gaps in content that create friction.
Developing an entity optimization strategy to maximize content discoverability.
Implementing a click-through rate (CTR) strategy to enhance traffic from discovered content.
Optimizing visual content.
Establishing an engagement and conversion optimization strategy that includes personalization, calls to action optimization, A/B testing, messaging strategies, UI/UX optimization, and conversion rate optimization (CRO).
To give your content the best chance of being crawled, indexed, understood, and featured in search results for the right terms, focus on the following:
Fix technical SEO issues related to crawling, indexing, and user experience.
Ensure mobile optimization across all digital properties.
Deploy nested schema markup to enhance search visibility.
Improve page speed for all web properties and optimize Core Web Vitals.
Prioritize web accessibility by following ADA and WCAG guidelines to enhance user experience and search visibility.
Step 8: Engagement and conversion optimization
Utilize unified customer data to enhance user engagement and drive conversions:
Deliver personalized content at scale for each audience segment in real time. Personalization strategies can be based on various factors such as marketing channel or campaign, visitor location, search intent, and past behavior.
Identify and deploy AI agents that assist audiences in quickly finding information, engaging in meaningful interactions, and making real-time decisions.
Develop remarketing strategies informed by visitor behavior.
Implement A/B testing across channels, ensuring consistent test and control groups.
Measure performance across channels and optimize based on business goals and success KPIs.
Step 9: Continuously test, measure, learn, and optimize
Refine your strategy through ongoing testing and data-driven adjustments to improve performance across all channels.
Monitor performance metrics across all channels. Establish BI dashboards that connect and integrate data across channels.
Implement attribution models that effectively account for complex customer journeys.
Regularly test new channel integrations and enhancements to the customer journey.
Gather feedback from customers regarding their cross-channel experiences.
Refine your strategy based on evolving search engine algorithms and changing customer behavior.
SEO’s role in delivering a unified, cross-channel experience
Integrating SEO into the omnichannel customer journey isn’t simply for improving search presence.
Ultimately, it’s about creating discoverable, unified, and personalized experiences that guide customers naturally toward conversion.
By implementing this nine-step framework, you can:
Break down departmental silos.
Align cross-functional teams around customer needs.
Build truly seamless engagement models that drive sustainable growth.
https://i0.wp.com/dubadosolutions.com/wp-content/uploads/2025/04/why-omnichannel-approach-to-seo-xkXmmH.jpeg?fit=1920%2C410&ssl=14101920http://dubadosolutions.com/wp-content/uploads/2017/05/dubado-logo-1.png2025-04-07 12:00:002025-04-07 12:00:00Integrating SEO into omnichannel marketing for seamless engagement
There is so much you can do to optimize your online store, whether for users or Google. To help you cover all your bases, we’ve written this ecommerce SEO checklist. It doesn’t cover absolutely everything, but if you at least start by optimizing all the aspects in this post, you will definitely be doing a great job!
The first part of our ecommerce checklist is all about changes you can make site-wide to make sure your online shop is up to scratch. Some of these tips will help with your ecommerce SEO, but — more importantly — they will give users a better experience when they visit your site.
1. Use consistent branding
The first thing you should be aware of is that you should always use consistent branding. Ensure your brand or logo is visible on your homepage and page title. This will build trust and help promote and build your business, helping trigger recognition offline and in search engine result pages.
2. Add social buttons and newsletter sign-up
Newsletters and social media are the easiest ways to get return visits from your customers. Be sure to draw attention to your social profiles and newsletter signups throughout your website. Add your social profiles to your footer at least (use icons, links, and social widgets), but if you have space left in your header, that would also be a great spot for them. Promote your newsletter in your sidebar and use scroll-triggered boxes to draw attention to it. A nice giveaway always helps motivate people to subscribe.
3. Take care of site navigation essentials
Make sure users can navigate to your most important pages from your site menu. It should always be easy to reach shopping pages and the shopping cart, as well as customer service information and FAQs covering essential information like shipping costs and payment options. If users can’t find these pages, they’ll find it difficult to shop on your site.
4. Use SSL and security seals
Here’s one vital thing about creating trust: If your site has an SSL certificate, it will have that nice green padlock in your visitors’ browser address bar, and you’ll let them know they are shopping in a safe environment. These things will help customers confidently insert their home address, credit card details, or other personal information you ask them to provide. You could also add security seals. Find more tips like this in our trust article.
5. Make sure your site is mobile-friendly
Don’t forget mobile users! Making purchases via mobile is a popular option for many shoppers. So be ready for them and don’t miss out on those transactions. Read our ultimate guide to mobile SEO to get started.
6. Get things up to speed
When we say speed, we mean the performance of your site. People have short attention spans, and we’ve all got used to faster internet everywhere. However, many places worldwide have to make do with less-than-perfect mobile connections and a small data allowance. Don’t take your situation as gospel. Also, Google tends to rank websites faster, which is another reason to make sure your website is as fast as possible.
7. Add an ‘About us’ page if you don’t have one
People like to know about the company they’re buying from. Who is behind it? What’s their story? What motivates them? If we share the same values and beliefs, people are likelier to return to that shop and buy more products. Adding an about us page, and perhaps a team photo will help build a connection between your company and your customers. If you want some inspiration, Patagonia and Dopper are nice examples.
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While you don’t necessarily need to optimize the homepage of your ecommerce site for SEO, you shouldn’t just ignore it completely, either. There are a couple of things you can do to make sure any visitors landing there will continue to shop and make a purchase:
8. Show featured products
You also need to reserve a prominent spot on your homepage for featured products or something similar, usually your core products or the items you currently have on sale. This will provide an immediate trigger for visitors and a good way to let them know whether or not they have come to the right online shop.
9. Include a compelling call to action
Your homepage needs a compelling call to action. This may change if you want to promote particular products or run seasonal promotions like a Black Friday sale. But whatever your CTA is, you need to make sure it’s always easily visible and meets your visitors’ needs and expectations.
Product search and categories
Having a great site is one thing, but if visitors can’t find the products they want to buy, it won’t be much of use to anyone. That’s why the following section of our ecommerce checklist is all about making your products easy for customers to find when searching on your site.
10. Add a search option
Every online store with more than 20 products should have a search option. Make sure you put the search option in a visible spot, as this will probably be the navigation of choice for your visitors. Besides optimizing your search option, be sure to give the search result pages some TLC. More on that later.
11. Use product categories
How you set up your categories and make these accessible to visitors matters – a lot. Categories help visitors get to different groups of products as quickly as possible, especially those who aren’t sure which specific products to buy. Amazon has a large list of categories (or departments), but makes the kind of products a category contains as clear as possible. That has much to do with naming these categories and logically using subcategories. Put yourself in the place of your visitors and go over your shop’s categories. Do they make sense? Are these the terms a visitor would use? If the answer is yes, you’re on the right track.
12. Add introductory content on category pages
Besides being clear about the name of your category, be sure to add a nice introduction to your category pages as well. This introduction is like the glue that holds the collection of products on that page together. This is really helpful in determining the subject of the page, especially for search engines. This also helps the category pages function in a similar way to cornerstone content.
13. Add thumbnail images for your products
In most cases, product images say more than a thousand words. This is especially true for those pages that simply don’t have space for a thousand words about a single product, such as your category or internal search result pages. Adding a stunning thumbnail image of that dress or painting will encourage more clicks to that page. Good thumbnail images make it easier for visitors to choose from a wide variety of products in category or search result pages.
14. Include calls to action in overviews
Besides having killer product thumbnails, your overview pages also need a call to action for each product, which means the visitor can add that product to their cart right from the category or search result page. Although it isn’t always possible for every product, you should do this wherever you can. There are online shops that allow you to choose the color and size of jeans, for example, without having to go to the product page. Choose the option you like, click add to cart, and proceed to checkout, all from the overview page.
Product pages
You’ve probably already put much effort into crafting your product pages. But are you sure nothing is missing, and nothing can be improved? This section of our ecommerce SEO checklist will help you ensure your product pages look the best they can.
15. Add great product images
Be sure to add great product images to your product pages. They should be zoomable and give multiple views of the product. Remember that even the filename and alt text of the product image matter for SEO. There’s a lot more on this in our detailed article on product images.
16. Write a fantastic product description
Optimizing your category pages is often much easier than optimizing all your product pages. If you’re selling bolts, screws and nails, adding an awesome and unique product description to each page is a lot of work. If you need your product page to rank as well, be sure to invest some time and effort in optimizing your product descriptions for the product name and/or SKU. Our Yoast SEO plugin will be useful if you have a WordPress site or a Shopify store.
17. Be clear about pricing
We can’t emphasize this enough: be clear about your prices. Adding surprise costs like shipping or taxes later in the checkout process will backfire, and shoppers may abandon their purchase. Be clear about these additional costs (if any) right from the start. You could even leverage this by offering free shipping on orders of more than a certain value, say $20 or $50. Surprise costs are a major turn-off, and they are illegal in the EU.
18. Show product reviews
Creating trust is a good thing for all online shops. Genuine product reviews help a great deal with this. One thing we would recommend for websites that include user reviews from third parties is to copy a couple of those reviews to your own website. Including third-party reviews in, for example, a widget, would be a great solution. Add these near your call to action for the best results.
19. Promote related products
When you’ve got their interest, leverage it. If someone buys an iPhone from your site, chances are they’ll need a cover and might even want a pair of those expensive wireless ear pods. But they might feel a bit less expensive when a customer has just paid full price for a new iPhone! Adding a related products section or an ‘other customers also bought’ section to your product page will trigger upsells, allow for bundles, and much more. We highly recommend adding these.
20. Add a call to action on your product page
Your visitor needs to click the Add to Cart button on your product page to start the purchase. Don’t hide that button! The number of shops that accidentally disguise the Add to Cart button is lower than it used to be, but we’d still like you to look at that button and make sure it stands out. This is especially true when you have a secondary call to action like ‘Add to wish list’. Making sure that the Add to Cart button stands out the most and is the largest and first major button on your product page is essential.
21. Show stock availability
These days, the availability of a product drives sales. With online shops everywhere, people want to buy things at a shop that will deliver the products they want tomorrow or even the same day. If you tell users a product is in stock, people are likelier to buy it. But this isn’t just about competition; it’s about managing expectations. If your website shows something isn’t in stock, people can still decide to buy at your shop and know they’ll have to wait a bit. If people buy at your shop and won’t get the product for three weeks because it’s out of stock, they’d likely have bought it elsewhere. Not making availability clear also badly affects your brand, by the way.
Shopping cart and checkout
It can be easy to overlook the details of your shopping cart and checkout process. However, these parts of your site are vital to the customer journey. In this section of our ecommerce checklist, we encourage you to take some time to ensure everything is working seamlessly.
22. Make the shopping cart easy to find
Regardless of how noble your intentions are, in most cases, your main goal is to make as much money as possible, and that money is made through your shopping cart. For this reason, your shopping cart should always be available and visible – don’t make people look for it. We recommend adding the number of products in the cart to the cart icon. It will help people remember if they have already added products to the cart.
A recognizable shopping cart icon that shows how many products are in the cart.
23. Show the payment options early on
Like in number 16 of this ecommerce SEO checklist, this one is about preventing surprises. It’s frustrating to get to the end of the checkout process only to find that your preferred payment option isn’t available. And again, if your ecommerce shop is in the EU, it is now a legal requirement to display your accepted payment methods to customers before they get to the checkout.
24. No account needed
Always allow customers to buy without forcing them to create an account. We think that making customers create an account is bad practice. It’s only valid if creating an account gives customers perks like easy license renewal, managing recurring payments, etc. These are tasks customers probably would want to do in a secure environment, so they wouldn’t mind setting up an account, but when they’re shopping for clothes, having an account only makes sense for convenience reasons (not having to fill in address details next time and so on), and therefore it should be optional.
25. Set longer cookie expiration times
Perhaps ‘cookie expiration times’ are too narrow for what we’re trying to say. Our article on shopping cart abandonment will tell you a lot about how people use your shopping cart. Read that entire article, and you’ll discover why using longer cookie expiration times for your cart is better.
26. Use discount codes wisely
Discount codes and vouchers can be a great way to increase sales. But before you put a field to add a discount code on your checkout pages, consider whether you want to do this carefully. Once users see the option to add a code, they will want a discount code. And often, that means they’ll stop mid-transaction and search for one! So, if you want to offer discount codes, it’s a good idea to make it easy for users to find a discount (even if it’s to remove the delivery costs from their order). If you’re not planning to offer discount codes soon, leaving the discount code field off your checkout pages is probably better. Otherwise, it might increase your cart abandonment rates.
Search and social appearance
All right, by now, your online shop should be ready to go. One thing left to do for our ecommerce SEO checklist: make sure your site looks its best wherever it appears. That could be in the Google search results or social media, so be ready to make a good impression!
27. Optimize your SEO titles and Meta descriptions
With ecommerce sites, more so than all other websites, SEO titles and meta descriptions serve a very important purpose. Where Google is probably able to come up with a proper and keyword-related invitation to your website for information pages, the chances are your product page doesn’t have enough product information, or it contains details about your customer service or warranty that Google might use instead. Add a product-focused meta description to your product pages to encourage Google not to show the wrong text in search results! Use Yoast SEO Premium’s AI tools to speed up the creation process.
28. Add structured data to your pages
We recommend adding structured data to your product pages for technical SEO reasons. Schema markup will help search engines and Google Shopping understand your page’s contents better, and it might even help your page stand out in the search results!
Add at least schema.org/Product and schema.org/Offer, and see if you can extend this to even more detailed schemas. Adding structured data markup is more technical than optimizing your product description, so if you don’t know exactly what you’re doing, please ask your web developer for help. You can also use our WooCommerce SEO plugin or Shopify SEO app, making it much easier!
Besides structured data, be sure to add OpenGraph and X Cards. Again, Yoast SEO can help you add images to your page to be displayed on social media. With Yoast SEO Premium, you can even preview those! These ensure that when people share your content or products, they will be displayed as attractively as possible. This and more are explained in our article about product page SEO.
Adding structured data to your pages with minimal effort? Check.
Extra features for WooCommerce with our dedicated WooCommerce plugin? Check.
And for your Shopify store? Check.
Try Yoast SEO for WordPress (available in free and Premium versions) on your site today. If you’re using WooCommerce, add on our WooCommerce plugin for the ultimate ecommerce optimization. Alternatively, if you’re working with Shopify, try our Yoast SEO for Shopify app instead.
Lastly, boost your ecommerce SEO expertise with our ecommerce training at Yoast SEO Academy! You can follow a trial lesson for free or unlock the full course when you buy Yoast SEO Premium, Yoast WooCommerce SEO, or Yoast SEO for Shopify. Still want more? Check out our ultimate guide to ecommerce usability.
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But many sites would benefit from looking one level up – to indexing.
Why?
Because your content can’t compete until it’s indexed.
Whether the selection system is ranking or retrieval-augmented generation (RAG), your content won’t matter unless it’s indexed.
The same goes for where it appears – traditional SERPs, AI-generated SERPs, Discover, Shopping, News, Gemini, ChatGPT, or whatever AI agents come next.
Without indexing, there’s no visibility, no clicks, and no impact.
And indexing issues are, unfortunately, very common.
Based on my experience working with hundreds of enterprise-level sites, an average of 9% of valuable deep content pages (products, articles, listings, etc.) fail to get indexed by Google and Bing.
So, how do you ensure your deep content gets indexed?
Follow these nine proven steps to accelerate the process and maximize your site’s visibility.
Step 1: Audit your content for indexing issues
In Google Search Console and Bing Webmaster Tools, submit a separate sitemap for each page type:
One for products.
One for articles.
One for videos.
And so on.
After submitting a sitemap, it may take a few days to appear in the Pages interface.
Use this interface to filter and analyze how much of your content has been excluded from indexing and, more importantly, the specific reasons why.
All indexing issues fall into three main categories:
Poor SEO directives
These issues stem from technical missteps, such as:
Step 6: Strengthen internal linking to boost indexing signals
The primary way most indexers discover content is through links.
URLs with stronger link signals are prioritized higher in the crawl queue and carry more indexing power.
While external links are valuable, internal linking is the real game-changer for indexing large sites with thousands of deep content pages.
Your related content blocks, pagination, breadcrumbs, and especially the links displayed on your homepage are prime optimization points for Googlebot and Bingbot.
When it comes to the homepage, you can’t link every deep content page – but you don’t need to.
Focus on those that are not yet indexed. Here’s how:
When a new URL is published, check it against the log files.
If the response is “URL is unknown to Google,” “Crawled, not indexed,” or “Discovered, not indexed,” add the URL to a dedicated feed that populates a section on your homepage.
Re-check the URL periodically. Once indexed, remove it from the homepage feed to maintain relevance and focus on other non-indexed content.
This effectively creates a real-time RSS feed of non-indexed content linked from the homepage, leveraging its authority to accelerate indexing.
Step 7: Block non-SEO relevant URLs from crawlers
Audit your log files regularly and block high-crawl, no-value URL paths using a robots.txt disallow.
Pages such as faceted navigation, search result pages, tracking parameters, and other irrelevant content can:
Distract crawlers.
Create duplicate content.
Split ranking signals.
Ultimately downgrade the indexer’s view of your site quality.
However, a robots.txt disallow alone is not enough.
If these pages have internal links, traffic, or other ranking signals, indexers may still index them.
To prevent this:
In addition to disallowing the route in robots.txt, apply rel=”nofollow” to all possible links pointing to these pages.
Ensure this is done not only on-site but also in transactional emails and other communication channels to prevent indexers from ever discovering the URL.
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Automatically sets your bids to get as many clicks as possible within your budget.
Useful for top-of-funnel campaigns where the goal is to drive traffic to a site.
Example: “This campaign is designed to drive as much traffic to our new blog post as possible.”
Enhanced CPC (ECPC)
A semi-automated bidding strategy that adjusts your manual bids to try and get more conversions.
Google Ads adjusts your manual bid up or down based on the likelihood of a conversion.
Example: “We are using manual bidding but want to use Google’s signals to increase conversions where possible.”
Viewable CPM (YouTube)
Focuses on maximizing viewable impressions of your display or skippable in-stream video ads.
Ideal for brand awareness campaigns where the goal is to get your message seen by as many people as possible.
Example: “We want to ensure our brand message is visibly displayed to our target audience on YouTube.”
Cost Per View (YouTube)
Optimizes bids to get the most video views or interactions within your budget.
Best for campaigns focused on driving engagement with your video content.
Example: “We are running a video campaign on YouTube and want to maximize the number of views we receive.”
It’s crucial to understand that while setting a Target CPA or ROAS provides strategic direction, achieving those exact targets isn’t guaranteed.
I’ve had situations where a media planner pushed for an immediate switch to a specific CPA goal.
They wanted the target set at four times and wouldn’t budge or try to understand why the campaign was set at two times.
A common misconception is that simply setting a desired metric will automatically yield the desired results.
In practice, achieving optimal performance often requires a nuanced approach.
This may involve:
Gradual bid adjustments.
A willingness to accept temporary fluctuations in ROAS for broader account health.
A comprehensive evaluation of multiple factors, including budget, historical campaign performance, and keyword strategy.
It’s essential to understand that Smart Bidding strategies, while powerful, require strategic oversight and a holistic understanding of account dynamics.
Success should be measured within the context of overarching account objectives, not solely focusing on individual campaign metrics.
Understanding manual, automated and smart bidding in Google Ads
Manual bidding allows you to control bid adjustments completely, making it ideal for certain industries, such as legal or home services, where fluctuating competition requires ongoing oversight. However, it requires more time and effort.
It’s like driving a car where you control every gear shift and pedal movement.
Automated bidding simplifies bid management by using algorithms to adjust bids.
While automated bidding can save time, its generic approach doesn’t account for nuanced conversion goals.
Think of this as engaging cruise control. You tell the car (Google Ads) your general desired speed (goal), and it adjusts the engine (bids) to maintain that pace.
Smart Bidding, however, takes automated bidding further by using real-time signals and advanced machine learning to predict the likelihood of conversions and their value, tailoring bids to individual auctions.
It’s especially effective for campaigns with clear conversion goals and sufficient historical data.
This is like having a self-driving car with an incredibly sophisticated navigation system.
It’s important to know that while all Smart Bidding is automated, not all automated bidding qualifies as Smart Bidding.
Automated bidding covers a wider range of strategies, some of which are more basic and don’t rely on real-time signals or advanced machine learning.
In essence:
Manual: You control every bid.
Automated: Google’s algorithms handle bid adjustments based on your chosen strategy.
Smart: Google’s machine learning optimizes bids in real-time for conversions and conversion value.
There are significant advantages to using Smart Bidding.
Improved efficiency: Saves time by automating bid adjustments.
Auction-time optimization: Factors in user intent, device, location, and other data points to optimize bids for each auction.
Goal alignment: Customizes bids to match your campaign objectives, whether it’s maximizing volume or focusing on high-value actions.
While Smart Bidding offers significant advantages, missteps in implementation can lead to underwhelming results.
Here’s how to avoid common pitfalls and optimize your campaign performance.
Data dependency
Smart Bidding algorithms rely on robust historical data to make accurate predictions.
Campaigns with fewer than 30 conversions in the last 30 days may struggle to optimize effectively.
Start with manual bidding or Maximize Clicks to build a data foundation before switching to Smart Bidding. Boris Beceric, a Google Ads consultant and coach, said:
“I guess most try Smart Bidding too early – without enough conversion volume. What usually helps: consolidate campaigns so you get more data flowing through a single campaign. Portfolio bidding – kinda the same, but consolidation takes place at the bid strategy level.
“Micro conversions – try to add in the micro conversion that had the most volume and is closest to the ‘real’ conversion. Bonus: Reverse engineer CVR and conv value from micro to macro conversion and adjust tCPA accordingly.”
Goal misalignment
Using the wrong bidding strategy can hinder performance.
For example, applying Target ROAS to a new campaign with limited data can set unrealistic expectations and reduce reach.
Align bidding strategies with your goals.
When prioritizing profitability, use Maximize Conversions for volume and Target ROAS or Target CPA. Harrison Hepp, owner of Industrious Marketing, said:
“I had a client who was hybrid ecommerce and lead gen (they sold products, but high-priced deals were lead gen), and they insisted on tracking purchases and leads in every campaign. We constantly battled major fluctuations in the campaigns as they’d swing back and forth between getting purchases or leads and trying to optimize to both.
“It also made bid strategy selection really hard, as conversion value bidding would deprioritize leads (no value was tracked), but CPA bidding wasn’t efficient for purchases because of differences in product prices. It really showed how aligning your goals and bid strategy is critical for steady performance. It also underlined how the right bidding strategy can prioritize success in campaigns.”
Monitoring is non-negotiable
Despite its automation, Smart Bidding is not a “set it and forget it” tool.
Failing to monitor campaigns can lead to wasted ad spend and missed optimization opportunities.
Regularly review performance metrics, adjust campaign parameters, and stay proactive in managing Smart Bidding strategies.
“Custom columns/Segment views: We want to measure efficiency, so things like conv value/conv, search impression share, etc.” said Ameet Khabra, owner of Hop Skip Media.
Even with the most advanced AI behind Smart Bidding, performance optimization requires vigilance.
Regularly review the following metrics to ensure your strategy is working as intended:
CPA: Is your Target CPA being met?
ROAS: Are the conversions driving sufficient revenue?
Conversion rates: Are conversions coming from the right audience segments? Or are you paying for competitors to download your white papers and marking that down as a lead?
Search term reports: Are irrelevant keywords consuming a significant portion of your budget? Unprofitable keywords can be why a campaign is not meeting goals.
Conversion tracking accuracy: If conversion tracking is improperly implemented, Smart Bidding will optimize based on inaccurate data, reducing effectiveness.
Double-check your conversion tracking setup. Assign accurate values to conversions to reflect their true business impact. Khabra said:
“My favorite saying lately is ‘garbage in, garbage out,’ and that is definitely a large component of conversion tracking. Ensuring that we’ve identified the correct conversions that move the needle is half the battle. Implementing the tracking and double-checking that it is correct – collecting conversions – is the second half.”
Budgetary awareness
Strategies like Maximize Conversions and Maximize Clicks will attempt to spend your entire daily budget.
If your budget is set too high, this can lead to overspending.
Start with smaller daily budgets and gradually increase them while monitoring performance.
Realistic targets
Setting overly aggressive Target CPA or Target ROAS goals can limit your campaign’s reach, as the algorithm will avoid auctions it deems unprofitable.
Begin with realistic targets slightly higher or lower than your current average. Allow time for the algorithm to learn before refining the target.
Best practices for Smart Bidding in Google Ads
To ensure optimal performance, follow these best practices for implementing Smart Bidding in your Google Ads campaigns.
1. Feed accurate data
Ensure your conversion tracking is set up correctly.
Assign meaningful values to conversions – whether it’s a purchase, lead form submission, or newsletter signup.
2. Leverage seasonality adjustments
Use seasonality adjustments in Google Ads to guide Smart Bidding algorithms for short-term changes (e.g., holiday sales or promotions).
This prevents excessive or insufficient bids during periods of fluctuating demand.
3. Start with conservative budgets
Begin with smaller budgets and avoid aggressive bid caps that may limit auction participation. Allow the algorithm to learn and adapt gradually.
4. Prioritize business value over conversion volume
Align your bidding tactics with broader business goals. Instead of focusing solely on conversion volume, consider how each conversion contributes to revenue or lifetime customer value.
5. Test and adapt
Use Google Ads experiments to test different strategies.
For example, compare Target CPA with Target ROAS to identify which delivers better results for your campaigns.
Google Ads Experiments let you directly compare bid strategies in real-world scenarios.
Duplicate your campaign, allocate a split percentage to a new strategy (like comparing Target CPA vs. Target ROAS), and see concrete results with statistical significance.
Final thoughts
Smart Bidding isn’t just about knowing which technical settings to adjust.
It’s about understanding how to make Google’s automated tools align with your business goals.
The digital landscape evolves quickly, so it’s essential to stay adaptable, continuously monitor performance, and make adjustments as needed.
Nail the strategy, stay proactive, and you’ll set yourself up for long-term success.
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With the rise of AI-powered features, search engines are not just directing users to information but delivering answers directly.
This shift is redefining how people interact with the web, raising questions about the future of SEO, content discovery, and digital marketing.
Here’s what’s coming next.
From ChatGPT to Grok 3: The breakneck pace of AI advancements
The world has seen rapid and significant advances in AI technology and large language models (LLMs) within two years.
Looking back just three years ago, Google’s Gemini and Meta’s LLAMA did not exist, and OpenAI’s ChatGPT was later released in late November 2022.
Fast-forward to January 2025, the public was introduced to DeepSeek R1. This open-source large language reasoning model astounded the AI community with its speed, efficiency, and affordability, especially compared to OpenAI’s o1 GPT model.
A few weeks later, Elon Musk’s company xAI launched Grok 3, which impressed users by topping a key AI leaderboard with its complexity and fewer guardrails (see: unhinged mode).
More recently, Anthropic released Claude 3.7 Sonnet and Claude Code, an LLM that excels at code creation and debugging to a degree that has made many software engineers a bit uneasy.
These LLMs are just the beginning of AI’s rapid progress, with more breakthroughs on the way.
Google’s AI Mode: A glimpse of the future
AI isn’t just bringing new products – it’s transforming existing ones, too.
Engage with web search in a chat-like manner through multimodal understanding.
Refine long-tail queries in a back-and-forth manner.
AI Mode, powered by Gemini 2.0, enhances research using a “query fan-out” technique to gather real-time data from multiple sources and generate detailed, in-depth summaries.
This may make SEOs uncomfortable, as it potentially reduces clicks to publisher sites and further promotes a zero-click ecosystem.
With Google integrating Gemini 2.0 into its suite of products and its dominance of 89% of the search industry, its AI innovations demand close attention.
These technologies will likely be added to search, and AI Mode offers a preview of what’s ahead.
Two terms for the future of search: Agentic and deep research
We’ll likely hear two terms used more often in the AI and search space:
Deep research models can browse the web and focus on conducting intensive, in-depth research to provide users with informative summaries on complex topics.
Unlike previous LLMs, which use a single-step information retrieval system through RAG (retrieval-augmented generation), deep research and agentic models can:
Conduct multi-step research through a series of actions, pulling information from multiple sources to provide comprehensive summaries to the user.
Take proactive actions, such as executing tasks and complex instructions.
Google’s Project Mariner and OpenAI’s Operator already showcase these capabilities by allowing users to perform tasks within their browsers while understanding multi-modal elements such as text, images, and forms.
Suppose you want to plan a trip to Tokyo and know the best season to go, the weather, and where to stay.
Typically, this type of research takes a few days or weeks, and you gather information from various sources, such as travel websites or YouTube videos.
A deep research model can do the heavy lifting by searching the web, gathering information, and summarizing relevant content, which saves you time.
It can also “read, listen, and watch” various sources to provide a thorough answer.
An agentic model could also book your hotels and flights, navigating checkout flows to complete the purchase.
AI is moving in this direction as companies like Google work toward AGI (artificial general intelligence) – machines that can reason across diverse tasks like humans.
Deep research and agentic models are key milestones in building practical AI solutions for everyday use.
As AI search capabilities advance, users will likely rely even more on AI tools for quick answers rather than clicking through to websites or articles.
AI Mode and future search innovations could accelerate this shift by prioritizing fast, AI-generated summaries over traditional browsing.
As zero-click searches become the norm, you must rethink how you measure value and engagement.
Traditional KPIs may no longer accurately reflect user behavior, so focusing on brand visibility and awareness will be more critical than ever.
Increased personalization
LLMs and AI systems are revolutionizing search by personalizing responses with unmatched speed and scale, surpassing traditional algorithms.
Leveraging Google’s vast user data, AI can train on existing information and refine queries in real-time to deliver more tailored results.
As these systems continuously learn, they will become even better at recognizing, remembering, and adapting to individual user preferences.
As AI-driven search becomes more personalized, it’s worth considering whether hyper-niche content is the key to reaching your audience.
Multimodal search
Google’s AI-powered multimodal capabilities are already embedded in many of its products, including Project Astra, an AI assistant unveiled at Google I/O 2024.
During a live demonstration, Astra used multiple tools – such as Google Lens – to identify objects in real time and respond to voice queries.
Distinguished between similar names (“Bob” vs. “Rob”).
Even created a story about the figures.
While some of these advanced features haven’t been integrated into Google Search yet, multimodal search through Google Lens and voice search is already shaping how users submit queries.
As Google develops these capabilities, you should anticipate what’s next, look beyond text-based queries, and optimize for image, video, and audio search.
Commercial queries can still draw users to websites
AI-generated results have reduced clicks for informational queries, but commercial and transactional searches still offer opportunities for website traffic.
During the decision-making process, potential buyers research extensively – comparing products, reading reviews, and exploring multiple channels before making a purchase.
While it’s unclear how AI-generated search will impact this journey, think about how AI can streamline multi-touchpoint decision-making while still driving users to your website.
When users move closer to making a purchase, user-generated content – like reviews – will still play a crucial role in conversions.
Content quality still rules
Despite AI’s growing role in search, one thing remains constant: high-quality content is essential.
Whether users rely on traditional search engines or LLMs, visibility will still depend on the strength of the content itself.
Since both Google Search and LLMs use RAG to pull from vast datasets, ensuring these systems have access to accurate, high-quality information is critical.
Content demonstrating E-E-A-T (experience, expertise, authoritativeness, and trustworthiness) will continue to rank higher in AI-driven search results.
Your brand will also play a bigger role in search visibility, making it essential to create valuable, well-optimized content across multiple formats.
https://i0.wp.com/dubadosolutions.com/wp-content/uploads/2025/03/The-next-wave-of-search-AI-Mode-deep-research-and-beyond-800x491-xNi10d.png?fit=800%2C491&ssl=1491800http://dubadosolutions.com/wp-content/uploads/2017/05/dubado-logo-1.png2025-03-31 13:00:002025-03-31 13:00:00The next wave of search: AI Mode, deep research and beyond
AI models like ChatGPT reflect societal biases that exist in their training data. Here’s a simple way to see this in action:
Ask it to draw a nurse. You’ll likely get a woman.
Now, ask it to draw a CEO. You’ll probably see a man.
Here’s what I got:
This gender bias isn’t just limited to images. ChatGPT can perpetuate stereotypes and biases around:
Gender roles and professions
Cultural perspectives
Socioeconomic assumptions
Historical narratives
Geographic representation
For example, when asked about “traditional family values” or “successful business practices,” ChatGPT might default to Western, male-dominated perspectives without acknowledging other viewpoints.
What does this mean for you?
Always cross-reference important facts from multiple sources
Be aware that ChatGPT’s responses may reflect societal biases
Ask follow-up questions to get different perspectives
Use ChatGPT as a starting point, not the final authority
Consider whose viewpoints might be missing from its responses
Remember: ChatGPT is an incredibly powerful tool, but it’s trained on human-created data—which means it inherits human biases. So, use it wisely by staying critical and conscious of these limitations.
How to Use ChatGPT: Step-by-Step Beginners Guide
If you’re new to ChatGPT, getting started is easy.
You’ll be using it like a pro in just a few steps.
Step 1: Choose the Right ChatGPT Account Type
There are three ways to access ChatGPT, depending on what you need.
Guest Access
You can try ChatGPT right away with “Guest Access.” No need to sign up.
Turn memory on, and ChatGPT will learn from your past conversations.
You won’t have to repeat yourself every time you start a new chat.
Over time, it’ll remember details and give you more relevant responses.
Turn memory off and every session starts fresh.
This is great if you prefer more privacy.
Or don’t want past conversations influencing future replies.
You can also erase stored memories.
Click “Manage memories” in the “Personalization” window.
And you’ll see a new window where you can erase all memories or delete specific ones.
Personalizing ChatGPT: Make It Work Your Way
ChatGPT doesn’t have to sound the same for everyone.
You can easily customize it.
Just go to “Profile” (at the top right) > “Customize ChatGPT.”
Then, enter basic details like your name and profession.
Next, customize ChatGPT’s personality.
You can specify:
Tone: Friendly, casual, professional?
Response length: Brief and direct or in-depth?
Persona: Strategist, a teacher, or something else?
For example, if you want it to write in Backlinko style, you could type:
Write in the Backlinko writing style. Be direct and cut the fluff. Every sentence should be actionable. Do not use long complicated words when a simpler, shorter word exists.
If you’re not sure what to write, you can ask ChatGPT.
Here’s one way you can do that using your brand’s messaging document.
Upload the brand guide to ChatGPT and write:
Attached is [YOUR BRAND’S] content guideline. In under 1,500 characters, summarize [YOUR BRAND’S] voice, tone, and personality.
Advanced tip: I’ve noticed that ChatGPT doesn’t always stick to the personality I want. If you see that, too, do this:
First, give it this instruction.
“You have different personas. When I write [keyword], use that persona.”
Then, define the persona:
For example, for Backlinko, I write:
“[backlinko]: Be direct. Write clearly. Use short, punchy sentences with a confident tone. Make it easy to skim and focus on real, tested advice. Skip the jargon and write using the active voice. Keep the language simple (6th-grade level).”
Now, whenever I want ChatGPT to respond in Backlinko’s style, I start the chat with [backlinko].
The great thing about this?
You can add multiple personas for different tasks. And then you just add [keyword] to call that persona into the chat.
Some of my favorites include:
[80/20]: Focus only on the 20% of knowledge or actions that drive 80% of results. Prioritize key takeaways.
[teacher]: Break concepts into step-by-step explanations with real-world examples, analogies, and case studies.
The final section in customization is “What should ChatGPT know about you?”
Here, you personalize ChatGPT to your life and work.
What should you add?
Think about how you’ll be using it, then add relevant instructions.
For example, if you’re vegetarian with some dietary restrictions and you often use it for meal planning, you can write:
My family is vegetarian. One of our children has a peanut allergy, and the other doesn’t eat onions. Always make sure that the meals you create follow these restrictions.
Here’s another example if you use ChatGPT for work.
Say you have an ecommerce store.
You could add:
I sell handcrafted plant baskets made from sustainable materials. I have customers all over the world who are eco-conscious. I write in a warm but expert tone. I’m knowledgeable but never preachy. I have a small marketing budget. I do mostly organic content and paid ads.
Control Your Privacy
By default, OpenAI may use your conversations to improve the model.
If you’d rather keep chats private, you can turn this off.
Go to “Profile” > “Settings” > “Data Controls” and toggle “Improve the model for everyone.”
Once you do this, it won’t use your conversations for training.
And that’s it.
Your AI is now customized for you.
Go test ChatGPT with a few questions.
And see how well it adjusts based on your customizations.
Still not customized the way you want it?
Go back to settings and keep refining.
Step 3: Learn to Write Better Prompts
If you want high-quality answers from ChatGPT, you need to write better prompts.
Bland or generic answers usually mean a prompting problem.
Why?
Because when you give ChatGPT a vague question, it has to fill in the gaps.
And from what I’ve seen, it plays it safe by giving you the most generic explanations.
You don’t want that.
So how do you fix it?
Let’s get Google to help.
In its prompting guide, Google states that a good, detailed prompt includes four elements:
Task: What you want ChatGPT to do (explain, analyze, compare)
Context: Relevant background info (who, what, where, why)
Persona: The role ChatGPT should take (expert, teacher, consultant)
Format: How the response should be structured (step-by-step, bullet points, examples)
Adding just task + context makes a big difference.
Use all four, and you get much better answers.
Let me show you the difference in answer quality between a basic and an optimized prompt.
A basic prompt:
Give me unique marketing tips for a tour guide.
What do you get?
A generic list that can work for any tour guide anywhere in the world:
Now, add task + specific context:
Since ChatGPT has specific details to work with, the answer is more relevant.
We’re not done yet.
How about using all four elements using this prompt?
Act as a tourism marketing expert with 20 years of experience. I’ve just started a tour company in Málaga, Spain. The competition is fierce, so I need to stand out. Your task: identify three unique viral marketing strategies. The output should be a numbered list with one real-world example for each.
That level of detail gives you a more hyper-specific answer:
Step 4: Get Better Results With Frameworks
Frameworks help ChatGPT focus its thinking so its response becomes clearer and more organized.
So, instead of saying, “Give me an SEO strategy,” or “Give me content ideas,” specify a framework.
For example, in the Málaga tour guide prompt above, try using the STP framework (Segmentation, Targeting, Positioning).
You might say:
Act as a tourism marketing expert with 20 years of experience. Use the STP framework (Segmentation, Targeting, Positioning) to develop a unique marketing strategy for a tour guide in Málaga, Spain. Identify a specific segment of travelers, explain the best way to target them, and position the tour guide’s services for maximum appeal.
Much. Better. Answer.
But what if you don’t know any frameworks?
No problem.
Just ask ChatGPT.
All you have to do is choose the best one.
Step 5: Refine ChatGPT’s Responses with Follow-Ups
ChatGPT’s first answer isn’t always the best, especially for complex topics.
How do you improve it?
Keep asking questions.
Here’s what I mean.
Imagine you’re a social media manager launching a smart water bottle that reminds users to drink.
Your first prompt might be:
Give me a list of interactive social media campaign ideas. Context: We’re launching a new product: a smart water bottle that reminds users to drink. You’re a social media strategist with 10 years of experience.
ChatGPT gives you a list:
It’s a good start.
But it’s not enough to have a clear launch strategy.
So, you dig deeper.
If the reply is too generic, ask for more details.
If the answer is too theoretical, ask for clear, actionable steps.
Or you can focus on one thing in the list.
Keep refining your questions until you have everything you need.
By doing this, ChatGPT becomes more of a collaborative partner.
And you get a final output that’s a blend of AI and your knowledge and topical expertise.
Why not add everything in one big prompt?
You could.
But it’s not always the best approach.
Yes, some prompts are simple enough that they don’t need iterative refining.
But for complex ideas, refining step by step gives you more control over the output.
Personal insight: When conversations with ChatGPT get longer, it can go into a rabbit hole and lose track of the original task. When this happens, I bring it back with a prompt like:
“Go back to the original task. Do you remember it?”
If the response shows that it has forgotten some details from the original prompt, remind it explicitly:
“We were working on [ORIGINAL TASK]. Pick up from where we left off.”
This helps bring the conversation back to the task you set out to do.
Fun Ways to Use ChatGPT for Life and Work
One of the most powerful things about ChatGPT?
It can take on different roles.
It can be your personal assistant, researcher, strategist, problem-solver, and more.
ChatGPT as 24-7 Personal Assistant
ChatGPT can be your assistant for work and daily life.
Need help with life planning, SEO, or optimizing your habits?
Done.
For example, you can use it to review legal documents.
Upload a PDF, like a client agreement, and ask it to explain the legal jargon. Or point out unfair clauses.
It’s great for mundane tasks, too. Like cleaning up video transcripts.
Paste (or upload) the transcript.
And ask ChatGPT to organize it better.
Saves you so much time.
Personal insight: I recently used ChatGPT to help me organize my Obsidian vault (Obsidian is a personal knowledge management tool.)
I wanted a clean, scalable folder structure that matched my use case.
So, off to ChatGPT I went and wrote this prompt:
Create a folder structure for Obsidian that helps organize personal insights, research, and notes. The folder structure should make finding and linking notes easy while keeping things simple and scalable. Strictly limit to five main folders. Make sure it’s organized so it’s easy to expand over time. Your output should be in a clear, hierarchical bullet format.
This response gave me a solid starting point to structure my folders.
It also saved me time by giving me a clear framework to customize instead of figuring it all out from scratch.
ChatGPT as Your Analyst
ChatGPT is also great for processing and analyzing data.
A few things it can do:
Clean up raw data
Identify patterns
Extract insights
Side note: Data analysis works best with the paid plan. The free version may not always deliver the same level of detail.
Here’s a great example of how you can use its data analysis capabilities for digital marketing.
Let’s say you run an online store.
You want to analyze your competitor’s Google Shopping Ads using the Product Listing Ads (PLAs) data you got from Semrush.
Do this:
Upload the data to ChatGPT and use this prompt:
Analyze this Product Listing Ad (PLA) data for BestBuy.com from Semrush. Give me the top five takeaways that will help me. Show your work.
Just like that, ChatGPT will identify patterns and trends from the Semrush data:
Expert tip: Want to double-check the analysis? Add “Show your work” to your prompt. This tells ChatGPT to explain its thought process so you can verify and refine the answer.
ChatGPT as a Thought Partner
ChatGPT is great for learning and skill development.
For example, you can use it as a conversation partner when learning a new language.
You can also use ChatGPT to stress-test your thinking.
It can challenge your assumptions and poke holes in your reasoning.
I even use it to analyze my content outlines for writing projects.
Fun fact: Being nice to ChatGPT can lead to better responses. Research shows that using polite, supportive prompts leads to better answers.
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