<div><img width="1920" height="1080" src="https://searchengineland.com/wp-content/seloads/2026/03/chatgpt-walmart.png" class="attachment-large size-large wp-post-image" alt="ChatGPT Walmart" style="margin-bottom: 15px;" decoding="async" fetchpriority="high" srcset="https://searchengineland.com/wp-content/seloads/2026/03/chatgpt-walmart.png 1920w, https://searchengineland.com/wp-content/seloads/2026/03/chatgpt-walmart-768x432.png 768w, https://searchengineland.com/wp-content/seloads/2026/03/chatgpt-walmart-1536x864.png 1536w, https://searchengineland.com/wp-content/seloads/2026/03/chatgpt-walmart-1200x675.png 1200w" sizes="(max-width: 1920px) 100vw, 1920px" /></div>After testing 200,000 items in ChatGPT, Walmart found sharply lower conversions and will use its own integrated shopping experience.

<div><img width="1920" height="1080" src="https://searchengineland.com/wp-content/seloads/2026/03/chatgpt-walmart.png" class="attachment-large size-large wp-post-image" alt="ChatGPT Walmart" style="margin-bottom: 15px;" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2026/03/chatgpt-walmart.png 1920w, https://searchengineland.com/wp-content/seloads/2026/03/chatgpt-walmart-768x432.png 768w, https://searchengineland.com/wp-content/seloads/2026/03/chatgpt-walmart-1536x864.png 1536w, https://searchengineland.com/wp-content/seloads/2026/03/chatgpt-walmart-1200x675.png 1200w" sizes="(max-width: 1920px) 100vw, 1920px" /></div>
<p>Walmart said conversion rates for purchases made directly inside ChatGPT were three times lower than when users clicked through to its website.</p>



<p><strong>Why we care</strong>. This suggests agentic commerce isn’t ready to replace traditional shopping. Sending users to owned environments still drives higher conversion rates.</p>



<p><strong>The details</strong>. Starting in November, Walmart offered about 200,000 products through OpenAI’s Instant Checkout. Users could complete purchases inside ChatGPT without visiting Walmart’s site.</p>



<ul class="wp-block-list">
<li>Daniel Danker, Walmart’s EVP of product and design, said those in-chat purchases converted at one-third the rate of click-out transactions.</li>



<li>He called the experience “unsatisfying” and confirmed Walmart is moving away from it.</li>
</ul>



<p><strong>Goodbye, Instant Checkout.</strong> Instant Checkout was designed to let users complete purchases directly inside ChatGPT without visiting a retailer’s website. However, earlier this month, <a href="https://searchengineland.com/chatgpt-instant-checkout-plan-change-471033">OpenAI confirmed it was phasing out Instant Checkout</a> in favor of app-based checkout handled by merchants.</p>



<p><strong>What&#8217;s changing. </strong>Walmart will embed its own chatbot, Sparky, inside ChatGPT. Users will log into Walmart, sync carts across platforms, and complete purchases within Walmart’s system.</p>



<ul class="wp-block-list">
<li>A similar integration is coming to Google Gemini next month.</li>
</ul>



<p><strong>The WIRED report.</strong> <a href="https://www.wired.com/story/ai-lab-walmart-openai-shaking-up-agentic-shopping-deal/" target="_blank" rel="noopener">Why Walmart and OpenAI Are Shaking Up Their Agentic Shopping Deal</a> (subscription required)</p>


Walmart said conversion rates for purchases made directly inside ChatGPT were three times lower than when users clicked through to its website.
Why we care. This suggests agentic commerce isn’t ready to replace traditional shopping. Sending users to owned environments still drives higher conversion rates.
The details. Starting in November, Walmart offered about 200,000 products through OpenAI’s Instant Checkout. Users could complete purchases inside ChatGPT without visiting Walmart’s site.
Daniel Danker, Walmart’s EVP of product and design, said those in-chat purchases converted at one-third the rate of click-out transactions.
He called the experience “unsatisfying” and confirmed Walmart is moving away from it.
Goodbye, Instant Checkout. Instant Checkout was designed to let users complete purchases directly inside ChatGPT without visiting a retailer’s website. However, earlier this month, OpenAI confirmed it was phasing out Instant Checkout in favor of app-based checkout handled by merchants.
What’s changing. Walmart will embed its own chatbot, Sparky, inside ChatGPT. Users will log into Walmart, sync carts across platforms, and complete purchases within Walmart’s system.
A similar integration is coming to Google Gemini next month.
The WIRED report. Why Walmart and OpenAI Are Shaking Up Their Agentic Shopping Deal (subscription required)

After testing 200,000 items in ChatGPT, Walmart found sharply lower conversions and will use its own integrated shopping experience.

Walmart: ChatGPT checkout converted 3x worse than website

<div><img width="1920" height="1080" src="https://searchengineland.com/wp-content/seloads/2026/03/google-hybrid-search.png" class="attachment-large size-large wp-post-image" alt="Google hybrid search" style="margin-bottom: 15px;" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2026/03/google-hybrid-search.png 1920w, https://searchengineland.com/wp-content/seloads/2026/03/google-hybrid-search-768x432.png 768w, https://searchengineland.com/wp-content/seloads/2026/03/google-hybrid-search-1536x864.png 1536w, https://searchengineland.com/wp-content/seloads/2026/03/google-hybrid-search-1200x675.png 1200w" sizes="(max-width: 1920px) 100vw, 1920px" /></div>Perplexity’s iOS browser defaults to Google for navigation and local queries, while its assistant handles summaries, research, and actions.

<div><img width="1920" height="1080" src="https://searchengineland.com/wp-content/seloads/2026/03/google-hybrid-search.png" class="attachment-large size-large wp-post-image" alt="Google hybrid search" style="margin-bottom: 15px;" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2026/03/google-hybrid-search.png 1920w, https://searchengineland.com/wp-content/seloads/2026/03/google-hybrid-search-768x432.png 768w, https://searchengineland.com/wp-content/seloads/2026/03/google-hybrid-search-1536x864.png 1536w, https://searchengineland.com/wp-content/seloads/2026/03/google-hybrid-search-1200x675.png 1200w" sizes="(max-width: 1920px) 100vw, 1920px" /></div>
<p>Perplexity’s new Comet browser for iOS defaults to Google Search. That’s because mobile queries often focus on navigation, local results, and transactions, where “Google does a much better job &#8230; than anyone else &#8230; including Perplexity,” according to Perplexity CEO Aravind Srinivas.</p>



<p><strong>Comet for iOS.</strong> It includes Perplexity’s AI assistant directly in the browser. Comet for iOS also blends AI answers with standard search results. For many queries, you’ll still see a traditional results page.</p>



<ul class="wp-block-list">
<li>You can ask questions by voice while browsing.</li>



<li>The assistant can summarize pages, answer questions, and take actions like drafting emails.</li>



<li>Deep Research features generate cited summaries and prep materials.</li>
</ul>



<p><strong>What Comet does.</strong> According to Perplexity, the assistant can act on your behalf. Examples include:</p>



<ul class="wp-block-list">
<li>Summarizing articles and sharing outputs.</li>



<li>Researching people or topics across tabs.</li>



<li>Assisting with bookings or form fills.</li>
</ul>



<p><strong>What Perplexity is saying.</strong></p>



<ul class="wp-block-list">
<li>“The search experience in Comet iOS provides traditional search results pages for fast, local, and high-intent queries that are more common on mobile. Meanwhile, the Comet Assistant easily allows for more advanced knowledge and intelligence powered by the Perplexity answer engine. The intention is for users to have the smoothest browsing experience possible for the real use cases of iOS.”</li>
</ul>



<p><strong>Why we care.</strong> The near future of search increasingly looks hybrid, which means you’ll need to optimize for traditional Google results <strong>and</strong> AI-driven answers. This also reinforces Google’s dominance in commercial and local search while shifting competition to the AI layer.</p>



<p><strong>The announcement.</strong> <a href="https://www.perplexity.ai/hub/blog/meet-comet-for-ios">Comet is Now available on iOS</a></p>


Perplexity’s new Comet browser for iOS defaults to Google Search. That’s because mobile queries often focus on navigation, local results, and transactions, where “Google does a much better job … than anyone else … including Perplexity,” according to Perplexity CEO Aravind Srinivas.
Comet for iOS. It includes Perplexity’s AI assistant directly in the browser. Comet for iOS also blends AI answers with standard search results. For many queries, you’ll still see a traditional results page.
You can ask questions by voice while browsing.
The assistant can summarize pages, answer questions, and take actions like drafting emails.
Deep Research features generate cited summaries and prep materials.
What Comet does. According to Perplexity, the assistant can act on your behalf. Examples include:
Summarizing articles and sharing outputs.
Researching people or topics across tabs.
Assisting with bookings or form fills.
What Perplexity is saying.
“The search experience in Comet iOS provides traditional search results pages for fast, local, and high-intent queries that are more common on mobile. Meanwhile, the Comet Assistant easily allows for more advanced knowledge and intelligence powered by the Perplexity answer engine. The intention is for users to have the smoothest browsing experience possible for the real use cases of iOS.”
Why we care. The near future of search increasingly looks hybrid, which means you’ll need to optimize for traditional Google results and AI-driven answers. This also reinforces Google’s dominance in commercial and local search while shifting competition to the AI layer.
The announcement. Comet is Now available on iOS

Perplexity’s iOS browser defaults to Google for navigation and local queries, while its assistant handles summaries, research, and actions.

Perplexity’s Comet for iOS uses Google Search by default

<div><img width="800" height="450" src="https://searchengineland.com/wp-content/seloads/2024/11/Microsoft-Ads-How-it-compares-to-Google-Ads-and-tips-for-getting-started-800x450.png" class="attachment-large size-large wp-post-image" alt="Microsoft Ads: How it compares to Google Ads and tips for getting started" style="margin-bottom: 15px;" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2024/11/Microsoft-Ads-How-it-compares-to-Google-Ads-and-tips-for-getting-started-800x450.png 800w, https://searchengineland.com/wp-content/seloads/2024/11/Microsoft-Ads-How-it-compares-to-Google-Ads-and-tips-for-getting-started-600x338.png 600w, https://searchengineland.com/wp-content/seloads/2024/11/Microsoft-Ads-How-it-compares-to-Google-Ads-and-tips-for-getting-started-200x113.png 200w, https://searchengineland.com/wp-content/seloads/2024/11/Microsoft-Ads-How-it-compares-to-Google-Ads-and-tips-for-getting-started-768x432.png 768w, https://searchengineland.com/wp-content/seloads/2024/11/Microsoft-Ads-How-it-compares-to-Google-Ads-and-tips-for-getting-started-1536x864.png 1536w, https://searchengineland.com/wp-content/seloads/2024/11/Microsoft-Ads-How-it-compares-to-Google-Ads-and-tips-for-getting-started.png 1920w" sizes="(max-width: 800px) 100vw, 800px" /></div>Microsoft is simplifying bidding by consolidating performance targets into streamlined automated strategies while keeping key controls intact.

<div><img width="800" height="450" src="https://searchengineland.com/wp-content/seloads/2024/11/Microsoft-Ads-How-it-compares-to-Google-Ads-and-tips-for-getting-started-800x450.png" class="attachment-large size-large wp-post-image" alt="Microsoft Ads: How it compares to Google Ads and tips for getting started" style="margin-bottom: 15px;" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2024/11/Microsoft-Ads-How-it-compares-to-Google-Ads-and-tips-for-getting-started-800x450.png 800w, https://searchengineland.com/wp-content/seloads/2024/11/Microsoft-Ads-How-it-compares-to-Google-Ads-and-tips-for-getting-started-600x338.png 600w, https://searchengineland.com/wp-content/seloads/2024/11/Microsoft-Ads-How-it-compares-to-Google-Ads-and-tips-for-getting-started-200x113.png 200w, https://searchengineland.com/wp-content/seloads/2024/11/Microsoft-Ads-How-it-compares-to-Google-Ads-and-tips-for-getting-started-768x432.png 768w, https://searchengineland.com/wp-content/seloads/2024/11/Microsoft-Ads-How-it-compares-to-Google-Ads-and-tips-for-getting-started-1536x864.png 1536w, https://searchengineland.com/wp-content/seloads/2024/11/Microsoft-Ads-How-it-compares-to-Google-Ads-and-tips-for-getting-started.png 1920w" sizes="(max-width: 800px) 100vw, 800px" /></div>
<p>Microsoft is changing how advertisers configure automated bidding, aiming to reduce complexity while keeping performance outcomes the same.</p>



<p><strong>What’s happening</strong>. The platform is streamlining its bidding options by folding familiar targets like Target CPA and Target ROAS into broader automated strategies rather than standalone campaign settings.</p>



<p>Going forward, advertisers will choose between two core approaches: Maximize Conversions or Maximize Conversion Value, with optional targets layered on top.</p>


<div class="wp-block-image">
<figure class="aligncenter size-full"><img decoding="async" width="945" height="518" src="https://searchengineland.com/wp-content/seloads/2026/03/Microsoft-Ads-bidding-strategy.png" alt="" class="wp-image-472064" srcset="https://searchengineland.com/wp-content/seloads/2026/03/Microsoft-Ads-bidding-strategy.png 945w, https://searchengineland.com/wp-content/seloads/2026/03/Microsoft-Ads-bidding-strategy-768x421.png 768w" sizes="(max-width: 945px) 100vw, 945px" /><figcaption class="wp-element-caption">Credit &#8211; Hana Kobzova of PPC News Feed</figcaption></figure>
</div>


<p><strong>How it works</strong>. For conversion-focused campaigns, advertisers select Maximize Conversions and can optionally set a target CPA. For value-focused campaigns, they select Maximize Conversion Value and can optionally set a target ROAS.</p>



<p>Microsoft says the underlying bidding behavior has not changed — only the way advertisers configure it has been simplified.</p>



<p><strong>Why we care. </strong>This update makes automated bidding simpler and more standardized, which lowers the barrier to using Microsoft Advertising’s performance tools at scale. By consolidating Target CPA and Target ROAS into broader strategies, it reduces setup complexity while still keeping key performance controls available as optional targets. </p>



<p>In practice, this means faster campaign setup, more consistent optimization behavior across accounts, and fewer structural differences between how advertisers manage conversion and value-based bidding.</p>



<p><strong>What’s staying the same</strong>. Existing campaigns using Target CPA or Target ROAS will continue to run normally without any required updates. Portfolio bid strategies also remain unchanged.</p>



<p><strong>The bigger picture</strong>. The change is part of a broader push to make automated bidding more accessible, reducing setup decisions while maintaining control over performance goals.</p>



<p><strong>Bottom line</strong>. <a href="https://about.ads.microsoft.com/en/blog/post/march-2026/negative-keywords-for-pmax-and-other-product-news-for-march-2026">Microsoft is consolidating bidding options</a> into simpler frameworks, keeping familiar optimization controls available but moving them into a more streamlined setup experience.</p>


Microsoft is changing how advertisers configure automated bidding, aiming to reduce complexity while keeping performance outcomes the same.
What’s happening. The platform is streamlining its bidding options by folding familiar targets like Target CPA and Target ROAS into broader automated strategies rather than standalone campaign settings.
Going forward, advertisers will choose between two core approaches: Maximize Conversions or Maximize Conversion Value, with optional targets layered on top.
Credit – Hana Kobzova of PPC News Feed



How it works. For conversion-focused campaigns, advertisers select Maximize Conversions and can optionally set a target CPA. For value-focused campaigns, they select Maximize Conversion Value and can optionally set a target ROAS.
Microsoft says the underlying bidding behavior has not changed — only the way advertisers configure it has been simplified.
Why we care. This update makes automated bidding simpler and more standardized, which lowers the barrier to using Microsoft Advertising’s performance tools at scale. By consolidating Target CPA and Target ROAS into broader strategies, it reduces setup complexity while still keeping key performance controls available as optional targets. 
In practice, this means faster campaign setup, more consistent optimization behavior across accounts, and fewer structural differences between how advertisers manage conversion and value-based bidding.
What’s staying the same. Existing campaigns using Target CPA or Target ROAS will continue to run normally without any required updates. Portfolio bid strategies also remain unchanged.
The bigger picture. The change is part of a broader push to make automated bidding more accessible, reducing setup decisions while maintaining control over performance goals.
Bottom line. Microsoft is consolidating bidding options into simpler frameworks, keeping familiar optimization controls available but moving them into a more streamlined setup experience.

Microsoft is simplifying bidding by consolidating performance targets into streamlined automated strategies while keeping key controls intact.

Microsoft Advertising simplifies automated bidding setup

<div><img width="1920" height="1080" src="https://searchengineland.com/wp-content/seloads/2026/03/What-23-tests-reveal-about-AI-Max-performance-in-Google-Ads.png" class="attachment-large size-large wp-post-image" alt="What 23 tests reveal about AI Max performance in Google Ads" style="margin-bottom: 15px;" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2026/03/What-23-tests-reveal-about-AI-Max-performance-in-Google-Ads.png 1920w, https://searchengineland.com/wp-content/seloads/2026/03/What-23-tests-reveal-about-AI-Max-performance-in-Google-Ads-768x432.png 768w, https://searchengineland.com/wp-content/seloads/2026/03/What-23-tests-reveal-about-AI-Max-performance-in-Google-Ads-1536x864.png 1536w, https://searchengineland.com/wp-content/seloads/2026/03/What-23-tests-reveal-about-AI-Max-performance-in-Google-Ads-1200x675.png 1200w" sizes="(max-width: 1920px) 100vw, 1920px" /></div>Google’s UCP update shifts shopping to AI-agents, where product data — not just ads — will determine visibility and sales.

<div><img width="1920" height="1080" src="https://searchengineland.com/wp-content/seloads/2026/03/What-23-tests-reveal-about-AI-Max-performance-in-Google-Ads.png" class="attachment-large size-large wp-post-image" alt="What 23 tests reveal about AI Max performance in Google Ads" style="margin-bottom: 15px;" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2026/03/What-23-tests-reveal-about-AI-Max-performance-in-Google-Ads.png 1920w, https://searchengineland.com/wp-content/seloads/2026/03/What-23-tests-reveal-about-AI-Max-performance-in-Google-Ads-768x432.png 768w, https://searchengineland.com/wp-content/seloads/2026/03/What-23-tests-reveal-about-AI-Max-performance-in-Google-Ads-1536x864.png 1536w, https://searchengineland.com/wp-content/seloads/2026/03/What-23-tests-reveal-about-AI-Max-performance-in-Google-Ads-1200x675.png 1200w" sizes="(max-width: 1920px) 100vw, 1920px" /></div>
<p>Google is doubling down on the infrastructure behind “agentic commerce,” introducing new capabilities to its Universal Commerce Protocol (UCP) while making it easier for retailers to plug in.</p>



<p>Google says <a href="https://searchengineland.com/google-universal-commerce-protocol-467290">UCP</a> — its open standard for connecting retailers to AI-powered shopping experiences — is getting new features designed to make online buying feel more like a traditional storefront, even when handled by automated agents.</p>



<p><strong>What’s new</strong>. The latest updates focus on making shopping via AI agents more functional and flexible.</p>



<ul class="wp-block-list">
<li>A new cart capability allows agents to add or save multiple products from a single retailer in one go, mirroring how a typical shopper builds a basket.</li>



<li>There’s also a catalog feature, giving agents access to real-time product data such as pricing, inventory and variants when needed. The goal is to make interactions more accurate and responsive.</li>



<li>Another addition is identity linking. This lets shoppers carry over logged-in benefits — like member pricing or free shipping — when using platforms connected through UCP, rather than losing those perks outside a retailer’s own site.</li>
</ul>



<p><strong>Why we care.</strong> This update accelerates the shift toward AI-driven, agent-led shopping, where platforms like Search and the Google Gemini app may choose, compare and even purchase products on users’ behalf. That makes product data quality — pricing, inventory and feeds — very important for visibility, while simplified onboarding and support from platforms like Salesforce and Stripe suggest rapid adoption, giving early movers a competitive edge.</p>



<p><strong>Zoom out</strong>. UCP is designed as a modular system. Retailers and platforms can choose which capabilities to adopt, rather than implementing everything at once.</p>



<p>That flexibility is key as the industry experiments with how much control to hand over to AI-driven shopping experiences.</p>



<p><strong>What Google is doing</strong>. Google plans to bring these capabilities into its own ecosystem, including AI-powered experiences in Search and the Google Gemini app.</p>



<p>The company is also working to expand adoption by lowering the barrier to entry. A simplified onboarding process inside Merchant Center is expected to roll out over the coming months.</p>



<p><strong>Bottom line</strong>. <a href="https://blog.google/products-and-platforms/products/shopping/ucp-updates/">UCP is evolving from a concept into a broader ecosystem play</a>. By adding more capabilities and simplifying onboarding, Google is pushing to make agent-driven commerce easier to adopt — and harder to ignore.</p>


Google is doubling down on the infrastructure behind “agentic commerce,” introducing new capabilities to its Universal Commerce Protocol (UCP) while making it easier for retailers to plug in.
Google says UCP — its open standard for connecting retailers to AI-powered shopping experiences — is getting new features designed to make online buying feel more like a traditional storefront, even when handled by automated agents.
What’s new. The latest updates focus on making shopping via AI agents more functional and flexible.
A new cart capability allows agents to add or save multiple products from a single retailer in one go, mirroring how a typical shopper builds a basket.
There’s also a catalog feature, giving agents access to real-time product data such as pricing, inventory and variants when needed. The goal is to make interactions more accurate and responsive.
Another addition is identity linking. This lets shoppers carry over logged-in benefits — like member pricing or free shipping — when using platforms connected through UCP, rather than losing those perks outside a retailer’s own site.
Why we care. This update accelerates the shift toward AI-driven, agent-led shopping, where platforms like Search and the Google Gemini app may choose, compare and even purchase products on users’ behalf. That makes product data quality — pricing, inventory and feeds — very important for visibility, while simplified onboarding and support from platforms like Salesforce and Stripe suggest rapid adoption, giving early movers a competitive edge.
Zoom out. UCP is designed as a modular system. Retailers and platforms can choose which capabilities to adopt, rather than implementing everything at once.
That flexibility is key as the industry experiments with how much control to hand over to AI-driven shopping experiences.
What Google is doing. Google plans to bring these capabilities into its own ecosystem, including AI-powered experiences in Search and the Google Gemini app.
The company is also working to expand adoption by lowering the barrier to entry. A simplified onboarding process inside Merchant Center is expected to roll out over the coming months.
Bottom line. UCP is evolving from a concept into a broader ecosystem play. By adding more capabilities and simplifying onboarding, Google is pushing to make agent-driven commerce easier to adopt — and harder to ignore.

Google’s UCP update shifts shopping to AI-agents, where product data — not just ads — will determine visibility and sales.

Google expands its Universal Commerce Protocol to power AI-driven shopping

<div><img width="1920" height="1080" src="https://searchengineland.com/wp-content/seloads/2026/03/The-SEO-time-traveler-What-old-patents-reveal-about-AI-search.png" class="attachment-large size-large wp-post-image" alt="The SEO time traveler- What old patents reveal about AI search" style="margin-bottom: 15px;" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2026/03/The-SEO-time-traveler-What-old-patents-reveal-about-AI-search.png 1920w, https://searchengineland.com/wp-content/seloads/2026/03/The-SEO-time-traveler-What-old-patents-reveal-about-AI-search-768x432.png 768w, https://searchengineland.com/wp-content/seloads/2026/03/The-SEO-time-traveler-What-old-patents-reveal-about-AI-search-1536x864.png 1536w, https://searchengineland.com/wp-content/seloads/2026/03/The-SEO-time-traveler-What-old-patents-reveal-about-AI-search-1200x675.png 1200w" sizes="(max-width: 1920px) 100vw, 1920px" /></div>AI search is built on years-old patents. Here’s how those blueprints shape AEO, GEO, and modern SEO strategy.

Every time a new large language model (LLM) drops or Google tweaks an AI Overview, the SEO industry loses its mind. We develop this weird collective amnesia, scrambling to optimize for features that were actually mapped out in patent offices 10 years ago. We’re so obsessed with the now and the next that we’ve stopped looking at the blueprints.
If you want to survive 2026, stop trying to be a futurist. Instead, be an archaeologist.
To actually deliver for our clients, we need a research framework that isn’t just reactive. It has to be a balance: Look back at the foundational patents to understand the rules, and look ahead to see how AI is finally being given the muscle to enforce them.
The archaeology of SEO
There’s a massive misconception that to understand AI search, you need to be a prompt engineer or read every new research paper from OpenAI. You don’t.  The logic governing today’s magic is often math that was written a decade ago.
We can’t talk about patent research without honoring the late, great Bill Slawski. For 20 years, he was the SEO industry’s archaeologist. While everyone else was arguing about keyword density, he was reading dry, technical filings to predict exactly where we’re standing right now.
History proves his method worked.
Agent rank (2007): Slawski analyzed agent rank nearly 20 years ago. It described digital signatures connecting content to authors and assigning reputation scores. We ignored it then. Now? We call it E-E-A-T. Google finally got the computing power to actually run the numbers.
The fact repository (2006): Long before the Knowledge Graph was a thing, Slawski found patents for a “Browseable Fact Repository.” Today, that same logic is the engine behind answer engines.
The algorithm isn’t magic. It’s math. When a new feature drops today, the engineering blueprints were likely filed between 2007 and 2016. If you want to win, go read the old stuff.
Dig deeper: The origins of SEO and what they mean for GEO and AIO

  
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Strategy vs. mechanics: From ‘strings’ to ‘verified things’
Don’t get buried in buzzwords. Categorize your learning into two buckets: ”strategy” or ”mechanic.”
For years, the industry talked about moving from strings to things (entities). But in 2026, that’s just the baseline. We’ve moved from strings to verifiable things. An entity is worthless if the AI can’t prove it’s real.
Think of it like building a house:
Semantic SEO is the architecture: It’s the vision. It’s making sure the meaning of your site actually matches what the user is looking for.
Entity SEO is the bricklaying: It’s using distinct nouns to build that vision so a machine can parse it.
Verification is the mortgage: This is the part most people miss. It’s turning those entities into findable, provable facts connected to a verified human. If you aren’t connecting your content to a provable human expert, you’re just adding to the noise.
AEO vs. GEO: Let’s stop using these interchangeably
The industry often uses AEO and GEO synonymously, but they require different content structures and serve different objectives.
Answer engine optimization (AEO)
AEO is for the “direct answer.” Think Siri, Alexa, or that single snippet at the top of the page. It’s binary. It’s rooted in those 2006 fact repository patents.
You need ”confidence anchors.” These are unnuanced, structured facts. The engine isn’t “thinking,” it’s fetching. If your fact isn’t provable and anchored to a verified source, the engine won’t risk a hallucination by citing you.
Generative engine optimization (GEO)
GEO is for the “synthesis.” This is Gemini or ChatGPT search explaining how something works. It was formally defined by researchers at Princeton and Georgia Tech in 2023.
You need information gain. These engines don’t just want a fact; they want to see how Concept A affects Concept B. They’re looking for relationships and unique perspectives.
In short, AEO is about being the fact. GEO is about being the authority that the AI trusts to explain those facts.
Dig deeper: SEO, GEO, or ASO? What to call the new era of brand visibility in AI [Research]
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The trap of forward-projecting: Why the ‘basics’ are still the ‘floor’
There’s a danger in becoming an SEO time traveler. If you spend all your time in the patent archives or stress-testing GEO relationships, you might forget that the AI still has to reach your content.
You can have the most verified, E-E-A-T-heavy content in the world, but if your site’s technical health is a mess, the confidence anchors will never weigh in.
The persistence of technical debt
Basic SEO requirements haven’t changed. The tolerance for ignoring them has simply disappeared.
Crawl budget and efficiency: If your site is bloated with zombie pages or redirect loops, you’re wasting the crawler’s time. LLMs aren’t just looking for content. They’re looking for the cleanest path to a fact.
Core Web Vitals (CWV): More than a ranking factor, it’s a user-utility requirement. If your site doesn’t load instantly, the AI won’t recommend it as a source in a GEO overview.
The headless promise (and reality)
Many of the frustrating technical SEO issues we’ve fought for years — like bloated JavaScript and poor Largest Contentful Paint (LCP) — are finally being solved by headless/composable architectures. By decoupling the front end from the back end, we can deliver the raw, lightning-fast data that answer engines crave while maintaining a high-end experience for humans.
But headless isn’t a “get out of SEO jail free” card.  It solves the speed problem, but it introduces new risks around dynamic rendering and metadata delivery. 
Whether you’re on a 20-year-old CMS or a cutting-edge headless build, the today requirements are non-negotiable:
Clean URL structures: If the AI can’t deduce the hierarchy from the URL, you’ve already lost the semantic battle
Internal linking (the nervous system): This is how you prove relationships between entities. If your internal linking is broken, your synthesis logic doesn’t exist.
Indexability: If the bot is blocked by a poorly configured robots.txt or a noindex tag left over from staging, the most brilliant “verified human” insights in the world are invisible
You don’t get to play in the frontier of AEO and GEO until you’ve mastered the floor of technical SEO. Don’t let the shiny new objects make you forget the shovel work.
Dig deeper: Thriving in AI search starts with SEO fundamentals
The SEO time traveler checklist
Phase 1: The archive
The Slawski deep dive: Stop reading the latest “AI is changing everything” blog posts for five minutes. Go back to the SEO by the Sea archives. Search for Slawski’s analysis on the Knowledge Graph or the user context. You’ll see the 2026 roadmap hidden in plain sight.
The E-E-A-T math audit: Check your assets against Patent 2015/0331866. Are you actually providing the contribution metrics (such as verifiable reviews) that the patent specifically asks for?
Phase 2: The laboratory
The verification pivot: Audit your entities. Are they just names on a page? Link them to a verified LinkedIn profile or a Knowledge Panel. If it’s not verified, it’s not an entity, it’s just a string of text.
Schema stress testing: Don’t just use a plugin and walk away. Experiment with nesting. Try nesting a Person inside a Service as the provider. It works — I’ve seen it trigger rich results when nothing else did.
Phase 3: The frontier
The confidence anchor audit: Look at your top pages. Does every topic have a clear definition? [Entity] is [attribute]. If you’re being vague, you’re invisible to AEO.
The synthesis test: This is a quick one. Paste your article into an LLM and ask it to explain the relationship between your two main topics using only your text. If it has to go to the web to find the answer, you haven’t built the relationship well enough for GEO.

  
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The synthesis: Becoming the architect
The SEO time traveler isn’t looking back because they’re nostalgic. They’re looking back because they want the blueprint. When you realize AEO is just the modern enforcement of a 20-year-old patent and GEO is just the evolution of semantic relationships, the chaos of AI updates disappears.
Stop optimizing for strings. Start optimizing for verified facts. Give the engine a fact it can’t doubt, connected to a person it trusts, and a relationship it can’t ignore. 
The future of search wasn’t written this morning — it was written years ago. You just have to be the one to actually build it.
Dig deeper: The future of SEO: Why optimization still matters, whatever you call it
References and further reading 
On the evolution of fact-based search (AEO foundations)
The fact repository patent: Google LLC. (2006). Browseable Fact Repository. U.S. Patent 7,761,436. Analyzing the architecture of structured information retrieval.
Knowledge Vault research: Dong, X. L., et al. (2014). Knowledge Vault: A Web-Scale Infrastructure for Probabilistic Knowledge Fusion. Google Research. Detailing how engines assign “confidence scores” to facts before retrieval.
Authoritative verification: Google Search Central. Fact Check Structured Data (ClaimReview). Official documentation on how engines verify claims through structured data. 
On generative engine optimization (GEO foundations)
The GEO framework: Aggarwal, V., et al. (2023). GEO: Generative Engine Optimization. Princeton University, Georgia Institute of Technology, and the Allen Institute for AI. The definitive study on how LLMs cite and prioritize authoritative sources. 
The Slawski legacy: Slawski, B. (Various). SEO by the Sea Archives. For historical context on Agent Rank, phrase-based indexing, and entity metrics.

AI search is built on years-old patents. Here’s how those blueprints shape AEO, GEO, and modern SEO strategy.

What patents reveal about the foundations of AI search

<div><img width="1920" height="1080" src="https://searchengineland.com/wp-content/seloads/2026/03/Multi-location-SEO-strategy-Stop-competing-with-your-own-content.png" class="attachment-large size-large wp-post-image" alt="Multi-location SEO strategy- Stop competing with your own content" style="margin-bottom: 15px;" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2026/03/Multi-location-SEO-strategy-Stop-competing-with-your-own-content.png 1920w, https://searchengineland.com/wp-content/seloads/2026/03/Multi-location-SEO-strategy-Stop-competing-with-your-own-content-768x432.png 768w, https://searchengineland.com/wp-content/seloads/2026/03/Multi-location-SEO-strategy-Stop-competing-with-your-own-content-1536x864.png 1536w, https://searchengineland.com/wp-content/seloads/2026/03/Multi-location-SEO-strategy-Stop-competing-with-your-own-content-1200x675.png 1200w" sizes="(max-width: 1920px) 100vw, 1920px" /></div>Content overlap, unclear ownership, and poor planning can limit growth. Learn how to align corporate and local SEO efforts.

Multi-location brands are investing heavily in content. But more content doesn’t automatically mean more growth.
I keep seeing the same issue. Each individual location has a blog, and they all cover the same topics. Same keywords. Same structure. Same search intent. The goal is local visibility, but the result is often internal competition and diluted authority.
Building an effective content strategy for multi-location brands requires clarity around roles. What should live at the corporate level to build authority, and what should stay local to drive relevance and conversions? Without that alignment, brands risk competing with themselves instead of winning in search.
Where the strategy breaks down
Most multi-location content issues aren’t intentional. They’re often the result of growth without a clear content framework, or simply too many cooks in the kitchen without overall governance.
Corporate teams are focused on building brand authority and scaling marketing efforts. At the same time, local teams or franchisees want content that answers their customers’ questions and lives on their own site, rather than sending users elsewhere. The assumption is simple: more content equals more visibility.
However, without clear ownership or strategic keyword targeting, overlap becomes inevitable. Similar topics are published across multiple URLs, and over time, this creates internal competition rather than building authority for the entire site.
What type of content belongs at corporate




In general, corporate should own the content that applies to the brand as a whole and build authority at scale. This includes blog content that targets broader informational queries and answers user questions, no matter where users are located. 
Educational resources, industry insights, and evergreen topics perform best when consolidated in one place rather than duplicated across multiple URLs.




Core service, product, and line-of-business pages should also be centralized. These pages define what the brand offers and typically remain consistent across markets. While location pages can reference and support this foundational content, they often don’t need to be recreated at the local level unless they differ between locations.
Brand-level content, such as company history, leadership, mission, and differentiators, should also sit at the corporate level. These elements reinforce credibility and should be standardized across the organization.
Dig deeper: Local content playbook: From service pages to jobs-to-be-done pages

  
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What type of content belongs at the local level
When it comes to local content, focus on what’s relevant to that specific market. This includes geo-specific content such as:
Location landing pages with unique, customized copy.
Localized metadata.
Location-specific FAQs, relevant structured data (e.g., reviews, LocalBusiness).
In some cases, region-specific service variations.





On location pages specifically, there are additional opportunities to highlight uniqueness:
Location-specific testimonials and reviews.
Team bios.
Owner messages or stories.
Events or awards.
Community partnerships.
Descriptive content about the location or service area.
Location-specific imagery.
These elements can live on a single, well-built location page or expand into a microsite structure (pages living under a subfolder) when it makes sense for the business. Remember, the goal of these pages is to strengthen relevance, target geo-modified and local intent queries, and ultimately drive conversions. 
One common concern with location pages is duplicate content. The question often becomes, how much duplicate content is acceptable? Instead of focusing on a percentage of unique versus shared content, teams should focus on what’s most useful for the user.
Typically, content that doesn’t need to be unique across every location includes:
Brand boilerplates.
Core service lists.
Service or product descriptions.
Standard calls to action.
Legal disclaimers.
Navigation.
Trust signals.




Dig deeper: Local SEO sprints: A 90-day plan for service businesses in 2026
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See terms.
Common SEO risks of a faulty content strategy
When content production lacks clear governance, it can lead to a range of issues that affect organic visibility and crawl efficiency. Over time, this can cause inconsistent rankings, diluted authority, and missed opportunities to convert traffic into leads.
Keyword cannibalization
Keyword cannibalization occurs when multiple pages across a site target the same keywords and search intent. Instead of strengthening rankings, those pages end up competing against each other in search results, and, in some cases, may not get indexed at all.
For multi-location brands, this often happens when individual locations publish similar blog content. For example, a plumbing brand might have multiple location pages with blogs, each posting a blog post titled “Tips to fix a leaky faucet,” creating several URLs targeting the same informational query.
A more strategic approach is to consolidate that topic into a single, strong corporate-level post. This would allow the brand to serve as the authoritative source, build backlinks, answer users’ questions effectively, and strengthen the site’s overall credibility.
Google choosing the ‘wrong page’
When multiple pages on a website are targeting the same or overlapping keywords, search engines have to determine which one to rank, and sometimes it’s not the page you intended.
On a multi-location site, that may mean a local blog ranks nationally for a topic that would be better suited to live on the corporate site and build broader brand authority. While the page may be relevant to the query, it may not guide users clearly to the next step, leading to customer confusion or bounces. 
It may also cause users who aren’t in-market to leave the site after absorbing the information because there’s no clear next step for them, or because they only see information about services in Austin, Texas, while they’re located in Cleveland, Ohio.
Instead, consolidating authority on a single, well-ranking page that clearly directs users to take action, whether that means finding their nearest location or submitting a form, would be more beneficial for the brand and users.
Crawl inefficiencies
Publishing multiple blog posts on the same topic, especially when the answer doesn’t vary by location, can result in duplicate or low-value content. While these pages may be regularly crawled due to internal linking, they often never make it into the index.
At scale, this can become a bigger issue, especially for sites with many locations that publish similar informational topics. For a site with dozens or hundreds of locations, having similar blog posts across those locations can create crawl bloat, where search engines may spend time and resources crawling repetitive or low-impact URLs rather than more high-impact pages.
Diluted link equity
When similar content exists across multiple URLs, backlinks and internal links are split among pages instead of consolidating authority on a single strong page. Rather than building momentum around a single piece of content, link equity is distributed across competing versions. 
For multi-location brands, this can weaken overall ranking potential. Consolidating authoritative content at the corporate level allows links, authority, and trust signals to compound, strengthening the entire domain and supporting location pages more effectively.
Dig deeper: The local SEO gatekeeper: How Google defines your entity
Creating a plan: How corporate and local can work together
After defining roles, move to governance. Multi-location brands need a shared plan for ownership, keyword targeting, and team collaboration.
Before new content gets created, the right questions need to be asked, such as:
Is this topic location- or region-specific, or is it broader for any consumer?
Would publishing this for only one location add value to those specific customers?
Would publishing it across multiple locations make sense?
Who should own the keyword? The brand or a specific location?
Who does it make sense for the information to come from?
Clear keyword mapping and a centralized content calendar can prevent overlap before it starts. When teams understand their roles, content supports overall growth instead of competing internally.
Content collaboration also creates opportunities to strengthen E-E-A-T signals for the site as a whole. Corporate can cover broader educational topics while drawing on real expertise and experience from local teams.
For example, a roofing company might want to write a post about how often homeowners should replace their roofs. The topic is universal. However, the answer could vary by region due to factors such as the material used in that area or the weather. 
The blog could include quotes from franchise owners or team members across different regions to provide insights into regional factors, such as heat and humidity in the South versus harsh winter weather in the North.
This would allow corporate to own the topic and give locations the opportunity to provide their unique expertise and experiences. Plus, linking to relevant location pages can reinforce context and create stronger internal linking throughout the site.
Another option would be to create a local hub within the blog.

  
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Volume isn’t always the right strategy
Search may be changing, but many of the fundamentals remain the same. High-quality, well-structured content that genuinely helps users is what earns visibility.
With Google’s AI Overviews and large language models pulling from authoritative sources, content that clearly answers questions and reflects real expertise is even more valuable. Pages created solely to scale across multiple locations — without adding unique value — are unlikely to perform consistently, and can even hurt a site in the long run.
Content shouldn’t be treated as a volume game. More pages alone won’t drive growth. What matters is planning, ownership, and alignment. 
When corporate and local teams build a shared content strategy, it helps turn content into a growth driver rather than just more pages on a site.

Content overlap, unclear ownership, and poor planning can limit growth. Learn how to align corporate and local SEO efforts.

Multi-location SEO strategy: Stop competing with your own content

<div><img width="1920" height="1080" src="https://searchengineland.com/wp-content/seloads/2026/03/Your-SEO-maturity-score-doesnt-measure-what-you-think-it-does.png" class="attachment-large size-large wp-post-image" alt="Your SEO maturity score doesn’t measure what you think it does" style="margin-bottom: 15px;" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2026/03/Your-SEO-maturity-score-doesnt-measure-what-you-think-it-does.png 1920w, https://searchengineland.com/wp-content/seloads/2026/03/Your-SEO-maturity-score-doesnt-measure-what-you-think-it-does-768x432.png 768w, https://searchengineland.com/wp-content/seloads/2026/03/Your-SEO-maturity-score-doesnt-measure-what-you-think-it-does-1536x864.png 1536w, https://searchengineland.com/wp-content/seloads/2026/03/Your-SEO-maturity-score-doesnt-measure-what-you-think-it-does-1200x675.png 1200w" sizes="(max-width: 1920px) 100vw, 1920px" /></div>VGMM scoring reveals governance gaps, single points of failure, and whether your SEO can scale beyond individual expertise.


<div><img width="1920" height="1080" src="https://searchengineland.com/wp-content/seloads/2026/03/Your-SEO-maturity-score-doesnt-measure-what-you-think-it-does.png" class="attachment-large size-large wp-post-image" alt="Your SEO maturity score doesn’t measure what you think it does" style="margin-bottom: 15px;" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2026/03/Your-SEO-maturity-score-doesnt-measure-what-you-think-it-does.png 1920w, https://searchengineland.com/wp-content/seloads/2026/03/Your-SEO-maturity-score-doesnt-measure-what-you-think-it-does-768x432.png 768w, https://searchengineland.com/wp-content/seloads/2026/03/Your-SEO-maturity-score-doesnt-measure-what-you-think-it-does-1536x864.png 1536w, https://searchengineland.com/wp-content/seloads/2026/03/Your-SEO-maturity-score-doesnt-measure-what-you-think-it-does-1200x675.png 1200w" sizes="(max-width: 1920px) 100vw, 1920px" /></div>
<p>The <a href="https://searchengineland.com/governance-maturity-seo-468602">Visibility Governance Maturity Model</a> (VGMM) is about something most <a href="https://searchengineland.com/guide/what-is-seo">SEO</a> programs lack: clear ownership, documented processes, and decision rights that keep your work from being undone by teams who don’t understand it.</p>



<p>So how do you actually score that? </p>



<p>Each domain uses a bank of governance questions tailored to the business. They’re not about how SEO is executed. They’re not about tools. And they’re not an audit.</p>



<h2 class="wp-block-heading" id="h-what-vgmm-questions-are-designed-to-reveal">What VGMM questions are designed to reveal</h2>



<p>VGMM questions go to managers and the C-suite — the people who should know about governance but often don&#8217;t. Meanwhile, you (the SEO practitioner) actually know whether standards are documented, whether QA is in place, and whether processes exist.</p>



<p>VGMM diagnoses organizations where SEO knowledge lives in practitioners’ heads, rather than in documented, governed processes. If VGMM surveyed only practitioners, it would measure whether you know what to do (you do). But governance maturity measures whether the organization can sustain capability when you&#8217;re on vacation, when you get promoted, or when you leave.</p>



<p>Questions go to managers because governance gaps show up as:</p>



<ul class="wp-block-list">
<li>&#8220;I don&#8217;t know the answer to that.&#8221;</li>



<li>&#8220;I&#8217;d have to ask Sarah.&#8221;</li>



<li>&#8220;We used to have a process, but it&#8217;s not enforced anymore.&#8221;</li>



<li>&#8220;Each team does it differently.&#8221;</li>



<li>&#8220;That&#8217;s documented somewhere, I think?&#8221;</li>
</ul>



<p>When managers can&#8217;t answer governance questions, that&#8217;s the signal. It means processes aren&#8217;t institutionalized.&nbsp;</p>



<p><strong><em>Dig deeper:&nbsp;<a href="https://searchengineland.com/why-most-seo-failures-are-organizational-not-technical-468167">Why most SEO failures are organizational, not technical</a></em></strong></p>



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<h2 class="wp-block-heading" id="h-the-spof-reality-check">The SPOF reality check</h2>



<p>Single point of failure (SPOF) questions can cap your organization at Level 2 maturity until they&#8217;re resolved.</p>



<p>Here are some examples of SPOF question:</p>



<ul class="wp-block-list">
<li>&#8220;If [key person] left tomorrow, could the organization maintain SEO standards without them?&#8221;</li>



<li>&#8220;Is SEO knowledge documented in a way that&#8217;s transferable to new team members?&#8221;</li>



<li>&#8220;Are there at least two people who understand how [critical system] works?&#8221;</li>
</ul>



<p>Right now, you&#8217;re probably the SPOF. You&#8217;re the person who knows where all the bodies are buried, how the redirects work, why that weird canonical setup exists, and what breaks if someone changes X. That feels like job security. It’s actually a job prison.</p>



<p>When VGMM identifies you as an SPOF:</p>



<ul class="wp-block-list">
<li>Leadership realizes your knowledge needs to be documented.</li>



<li>You get resources to create documentation.</li>



<li>You get approval to train other people.</li>



<li>You get your own tools, training, and conference budgets. (Yay!)</li>



<li>Your expertise becomes institutional, not personal.</li>



<li>You can take a vacation without disasters.</li>
</ul>



<p>The organization can&#8217;t move past Level 2 until SPOF conditions are cleared. This forces leadership to address hero-dependency.</p>



<h2 class="wp-block-heading" id="h-how-domain-scores-become-vgmm-score">How domain scores become VGMM score</h2>



<p><a href="https://searchengineland.com/governance-maturity-seo-468602#:~:text=become%20yours%20again.-,The%20supporting%20models%3A%20What%20they%20actually%20check,-VGMM%20doesn%E2%80%99t%20score">Each domain model</a> (SEOGMM, CGMM, WPMM, etc.) produces a maturity score based on its own question bank. Here&#8217;s how they roll up:</p>



<h3 class="wp-block-heading" id="h-step-1-domain-assessment">Step 1: Domain assessment</h3>



<p>Each domain asks 30-60 governance questions tailored to that area. Questions are behavior-based, not opinion-based:</p>



<ul class="wp-block-list">
<li>&#8220;Do you think SEO standards are important?&#8221; (opinion)</li>



<li>&#8220;Are SEO standards documented and approved by [role]?&#8221; (behavior)</li>
</ul>



<h3 class="wp-block-heading" id="h-step-2-weighted-scoring-nbsp">Step 2: Weighted scoring&nbsp;</h3>



<p>Answers are weighted based on impact. Not all governance failures are equal:</p>



<ul class="wp-block-list">
<li>Missing documentation = lower weight.</li>



<li>No ownership for critical decisions = higher weight.</li>



<li>SPOF identified = can cap maturity level regardless of other scores.</li>
</ul>



<h3 class="wp-block-heading" id="h-step-3-spof-constraint-nbsp">Step 3: SPOF constraint&nbsp;</h3>



<p>If SPOF conditions exist, the domain score maxes out at Level 2 (emerging) even if other governance is strong. You can&#8217;t be structured (Level 3) when capability depends on one person.</p>



<h3 class="wp-block-heading" id="h-step-4-domain-aggregation-nbsp">Step 4: Domain aggregation&nbsp;</h3>



<p>Domain scores average into the overall VGMM score with adjusted weighting based on:</p>



<ul class="wp-block-list">
<li>Your industry (ecommerce weights performance governance higher).</li>



<li>Your business model (SaaS weights content governance higher).</li>



<li>Your complexity (international weights workflow governance is higher).</li>
</ul>



<h3 class="wp-block-heading" id="h-step-5-final-maturity-level-nbsp">Step 5: Final maturity level&nbsp;</h3>



<p>The overall VGMM score maps to maturity levels:</p>



<ul class="wp-block-list">
<li><strong>Level 1 (0-30%):</strong> Ad hoc/unmanaged</li>



<li><strong>Level 2 (31-50%):</strong> Aware/emerging</li>



<li><strong>Level 3 (51-70%):</strong> Structured/defined</li>



<li><strong>Level 4 (71-90%):</strong> Integrated/coordinated</li>



<li><strong>Level 5 (91-100%):</strong> Optimized/sustained</li>
</ul>



<h2 class="wp-block-heading" id="h-why-questions-change-between-models">Why questions change between models</h2>



<p>Domain questions adapt to the maturity model being used.</p>



<p>SEOGMM questions focus on:</p>



<ul class="wp-block-list">
<li>Technical SEO governance (schema, redirects, crawl management).</li>



<li>Content optimization standards.</li>



<li>Performance monitoring and alerts.</li>
</ul>



<p>LVMM questions focus on:</p>



<ul class="wp-block-list">
<li>Location data governance across distributed sites.</li>



<li>Google Business Profile management and ownership.</li>



<li>Review response workflows and accountability.</li>



<li>NAP (Name, Address, Phone) consistency</li>
</ul>



<p>IVMM questions focus on:</p>



<ul class="wp-block-list">
<li>Market-specific SEO governance across countries.</li>



<li>Translation workflow and quality controls.</li>



<li>Local compliance and regulatory requirements.</li>



<li>Cross-market coordination and escalation.</li>
</ul>



<p>Same governance principles, different operational contexts. An ecommerce company doesn&#8217;t need LVMM. A restaurant chain with 500 locations absolutely does.</p>



<p><strong><em>Dig deeper:&nbsp;<a href="https://searchengineland.com/seos-future-isnt-content-its-governance-464152">SEO’s future isn’t content. It’s governance</a></em></strong></p>



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<h2 class="wp-block-heading" id="h-why-you-can-t-and-shouldn-t-compare-scores">Why you can&#8217;t (and shouldn&#8217;t) compare scores</h2>



<p>VGMM scores are internal quality metrics, not competitive benchmarks. A 62% score doesn’t mean you’re ahead of another organization at 58%. Here’s why.</p>



<h3 class="wp-block-heading" id="h-weighting-varies-by-business-model">Weighting varies by business model</h3>



<ul class="wp-block-list">
<li><strong>Ecommerce company</strong>: Performance governance weighted 30%.</li>



<li><strong>Information publisher</strong>: Content governance weighted 35%.</li>



<li><strong>Service company</strong>: Workflow governance weighted 25%.</li>
</ul>



<h3 class="wp-block-heading" id="h-domain-combinations-vary-by-organization">Domain combinations vary by organization</h3>



<ul class="wp-block-list">
<li><strong>Organization A</strong>: SEOGMM + CGMM + WPMM + IVMM (international).</li>



<li><strong>Organization B</strong>: SEOGMM + CGMM + WPMM + LVMM (multi-location).</li>
</ul>



<p>Not comparing apples to apples.</p>



<h3 class="wp-block-heading" id="h-organizational-context-changes-what-scores-mean">Organizational context changes what scores mean</h3>



<ul class="wp-block-list">
<li>Startup at 45% with 10 people = impressive, mature for size.</li>



<li>Enterprise at 45% with 500 people = serious governance gaps.</li>
</ul>



<h3 class="wp-block-heading" id="h-strategic-priorities-shape-the-score">Strategic priorities shape the score</h3>



<ul class="wp-block-list">
<li><strong>Organization prioritizing organic visibility</strong>: SEOGMM weighted higher.</li>



<li><strong>Organization focused on technical debt</strong>: WPMM weighted higher.</li>
</ul>



<p>The only meaningful comparison is your organization against itself over time:</p>



<ul class="wp-block-list">
<li>Q1 2025: 42% (Level 2)</li>



<li>Q3 2025: 58% (Level 3) ← Progress</li>



<li>Q1 2026: 61% (Level 3) ← Sustained improvement</li>
</ul>



<p>Use VGMM to answer:</p>



<ul class="wp-block-list">
<li>Are we improving quarter over quarter?</li>



<li>Which domains are holding us back?</li>



<li>Where should we invest in governance?</li>



<li>Are SPOF conditions getting resolved?</li>
</ul>



<p>Don&#8217;t use VGMM to answer:</p>



<ul class="wp-block-list">
<li>Are we better than Competitor X?</li>



<li>What&#8217;s the industry average score?</li>



<li>Should we publicize our score?</li>
</ul>



<h2 class="wp-block-heading" id="h-what-vgmm-scoring-means-for-you">What VGMM scoring means for you</h2>



<p>As an SEO practitioner, this scoring approach protects you.</p>



<h3 class="wp-block-heading" id="h-you-re-not-being-blamed">You&#8217;re not being blamed</h3>



<p>When governance assessment reveals gaps, managers are answering questions about organizational capability. They’re not evaluating your individual performance. The assessment asks, &#8220;Does the organization have documented standards?&#8221; not &#8220;Is the SEO person doing a good job?&#8221;</p>



<h3 class="wp-block-heading" id="h-spof-detection-is-your-escape-hatch">SPOF detection is your escape hatch</h3>



<p>When SPOF questions flag that the organization depends entirely on you, leadership sees it as an organizational risk — not as proof you&#8217;re valuable. They can&#8217;t move to Level 3 until they fix it, which means resources for documentation, training, and knowledge transfer.</p>



<h3 class="wp-block-heading" id="h-weighted-scoring-highlights-systemic-issues">Weighted scoring highlights systemic issues</h3>



<p>When content governance scores low, but SEO governance scores high, it shows other domains aren&#8217;t holding up their end. This redirects leadership attention to where governance actually needs strengthening.</p>



<h3 class="wp-block-heading" id="h-progress-tracking-shows-your-impact">Progress tracking shows your impact</h3>



<p>When your organization moves from Level 2 to Level 3 over two quarters, you have concrete evidence that governance investments are working. This isn&#8217;t &#8220;traffic went up 15%,&#8221; it&#8217;s &#8220;organizational capability improved measurably.&#8221;</p>



<p><strong><em>Dig deeper:&nbsp;<a href="https://searchengineland.com/seo-goals-strategy-planning-453492">SEO execution: Understanding goals, strategy, and planning</a></em></strong></p>



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<h2 class="wp-block-heading" id="h-the-difference-between-hero-work-and-sustainable-seo">The difference between hero work and sustainable SEO</h2>



<p>VGMM&#8217;s scoring approach is designed to:</p>



<ul class="wp-block-list">
<li>Diagnose organizational capability gaps without blaming individuals.&nbsp;</li>



<li>Make your implicit knowledge visible as institutional risk.</li>



<li>Force leadership to address hero-dependency.&nbsp;</li>



<li>Track progress in ways that make governance investments defensible to finance.</li>
</ul>



<p>The assessment focuses on whether the organization can sustain your work without you. That&#8217;s the difference between being an indispensable hero (exhausting) and being a strategic professional whose expertise is institutionalized (sustainable).</p>

The Visibility Governance Maturity Model (VGMM) is about something most SEO programs lack: clear ownership, documented processes, and decision rights that keep your work from being undone by teams who don’t understand it.
So how do you actually score that? 
Each domain uses a bank of governance questions tailored to the business. They’re not about how SEO is executed. They’re not about tools. And they’re not an audit.
What VGMM questions are designed to reveal
VGMM questions go to managers and the C-suite — the people who should know about governance but often don’t. Meanwhile, you (the SEO practitioner) actually know whether standards are documented, whether QA is in place, and whether processes exist.
VGMM diagnoses organizations where SEO knowledge lives in practitioners’ heads, rather than in documented, governed processes. If VGMM surveyed only practitioners, it would measure whether you know what to do (you do). But governance maturity measures whether the organization can sustain capability when you’re on vacation, when you get promoted, or when you leave.
Questions go to managers because governance gaps show up as:
“I don’t know the answer to that.”
“I’d have to ask Sarah.”
“We used to have a process, but it’s not enforced anymore.”
“Each team does it differently.”
“That’s documented somewhere, I think?”
When managers can’t answer governance questions, that’s the signal. It means processes aren’t institutionalized. 
Dig deeper: Why most SEO failures are organizational, not technical

  
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The SPOF reality check
Single point of failure (SPOF) questions can cap your organization at Level 2 maturity until they’re resolved.
Here are some examples of SPOF question:
“If [key person] left tomorrow, could the organization maintain SEO standards without them?”
“Is SEO knowledge documented in a way that’s transferable to new team members?”
“Are there at least two people who understand how [critical system] works?”
Right now, you’re probably the SPOF. You’re the person who knows where all the bodies are buried, how the redirects work, why that weird canonical setup exists, and what breaks if someone changes X. That feels like job security. It’s actually a job prison.
When VGMM identifies you as an SPOF:
Leadership realizes your knowledge needs to be documented.
You get resources to create documentation.
You get approval to train other people.
You get your own tools, training, and conference budgets. (Yay!)
Your expertise becomes institutional, not personal.
You can take a vacation without disasters.
The organization can’t move past Level 2 until SPOF conditions are cleared. This forces leadership to address hero-dependency.
How domain scores become VGMM score
Each domain model (SEOGMM, CGMM, WPMM, etc.) produces a maturity score based on its own question bank. Here’s how they roll up:
Step 1: Domain assessment
Each domain asks 30-60 governance questions tailored to that area. Questions are behavior-based, not opinion-based:
“Do you think SEO standards are important?” (opinion)
“Are SEO standards documented and approved by [role]?” (behavior)
Step 2: Weighted scoring 
Answers are weighted based on impact. Not all governance failures are equal:
Missing documentation = lower weight.
No ownership for critical decisions = higher weight.
SPOF identified = can cap maturity level regardless of other scores.
Step 3: SPOF constraint 
If SPOF conditions exist, the domain score maxes out at Level 2 (emerging) even if other governance is strong. You can’t be structured (Level 3) when capability depends on one person.
Step 4: Domain aggregation 
Domain scores average into the overall VGMM score with adjusted weighting based on:
Your industry (ecommerce weights performance governance higher).
Your business model (SaaS weights content governance higher).
Your complexity (international weights workflow governance is higher).
Step 5: Final maturity level 
The overall VGMM score maps to maturity levels:
Level 1 (0-30%): Ad hoc/unmanaged
Level 2 (31-50%): Aware/emerging
Level 3 (51-70%): Structured/defined
Level 4 (71-90%): Integrated/coordinated
Level 5 (91-100%): Optimized/sustained
Why questions change between models
Domain questions adapt to the maturity model being used.
SEOGMM questions focus on:
Technical SEO governance (schema, redirects, crawl management).
Content optimization standards.
Performance monitoring and alerts.
LVMM questions focus on:
Location data governance across distributed sites.
Google Business Profile management and ownership.
Review response workflows and accountability.
NAP (Name, Address, Phone) consistency
IVMM questions focus on:
Market-specific SEO governance across countries.
Translation workflow and quality controls.
Local compliance and regulatory requirements.
Cross-market coordination and escalation.
Same governance principles, different operational contexts. An ecommerce company doesn’t need LVMM. A restaurant chain with 500 locations absolutely does.
Dig deeper: SEO’s future isn’t content. It’s governance
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Why you can’t (and shouldn’t) compare scores
VGMM scores are internal quality metrics, not competitive benchmarks. A 62% score doesn’t mean you’re ahead of another organization at 58%. Here’s why.
Weighting varies by business model
Ecommerce company: Performance governance weighted 30%.
Information publisher: Content governance weighted 35%.
Service company: Workflow governance weighted 25%.
Domain combinations vary by organization
Organization A: SEOGMM + CGMM + WPMM + IVMM (international).
Organization B: SEOGMM + CGMM + WPMM + LVMM (multi-location).
Not comparing apples to apples.
Organizational context changes what scores mean
Startup at 45% with 10 people = impressive, mature for size.
Enterprise at 45% with 500 people = serious governance gaps.
Strategic priorities shape the score
Organization prioritizing organic visibility: SEOGMM weighted higher.
Organization focused on technical debt: WPMM weighted higher.
The only meaningful comparison is your organization against itself over time:
Q1 2025: 42% (Level 2)
Q3 2025: 58% (Level 3) ← Progress
Q1 2026: 61% (Level 3) ← Sustained improvement
Use VGMM to answer:
Are we improving quarter over quarter?
Which domains are holding us back?
Where should we invest in governance?
Are SPOF conditions getting resolved?
Don’t use VGMM to answer:
Are we better than Competitor X?
What’s the industry average score?
Should we publicize our score?
What VGMM scoring means for you
As an SEO practitioner, this scoring approach protects you.
You’re not being blamed
When governance assessment reveals gaps, managers are answering questions about organizational capability. They’re not evaluating your individual performance. The assessment asks, “Does the organization have documented standards?” not “Is the SEO person doing a good job?”
SPOF detection is your escape hatch
When SPOF questions flag that the organization depends entirely on you, leadership sees it as an organizational risk — not as proof you’re valuable. They can’t move to Level 3 until they fix it, which means resources for documentation, training, and knowledge transfer.
Weighted scoring highlights systemic issues
When content governance scores low, but SEO governance scores high, it shows other domains aren’t holding up their end. This redirects leadership attention to where governance actually needs strengthening.
Progress tracking shows your impact
When your organization moves from Level 2 to Level 3 over two quarters, you have concrete evidence that governance investments are working. This isn’t “traffic went up 15%,” it’s “organizational capability improved measurably.”
Dig deeper: SEO execution: Understanding goals, strategy, and planning

  
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The difference between hero work and sustainable SEO
VGMM’s scoring approach is designed to:
Diagnose organizational capability gaps without blaming individuals. 
Make your implicit knowledge visible as institutional risk.
Force leadership to address hero-dependency. 
Track progress in ways that make governance investments defensible to finance.
The assessment focuses on whether the organization can sustain your work without you. That’s the difference between being an indispensable hero (exhausting) and being a strategic professional whose expertise is institutionalized (sustainable).

VGMM scoring reveals governance gaps, single points of failure, and whether your SEO can scale beyond individual expertise.

Your SEO maturity score doesn’t measure what you think it does

<div><img width="1920" height="1080" src="https://searchengineland.com/wp-content/seloads/2026/03/AI-Mode-is-Googles-next-ads-engine-—-and-it-already-knows-how-to-monetize-it.png" class="attachment-large size-large wp-post-image" alt="AI Mode is Google’s next ads engine — and it already knows how to monetize it" style="margin-bottom: 15px;" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2026/03/AI-Mode-is-Googles-next-ads-engine-—-and-it-already-knows-how-to-monetize-it.png 1920w, https://searchengineland.com/wp-content/seloads/2026/03/AI-Mode-is-Googles-next-ads-engine-—-and-it-already-knows-how-to-monetize-it-768x432.png 768w, https://searchengineland.com/wp-content/seloads/2026/03/AI-Mode-is-Googles-next-ads-engine-—-and-it-already-knows-how-to-monetize-it-1536x864.png 1536w, https://searchengineland.com/wp-content/seloads/2026/03/AI-Mode-is-Googles-next-ads-engine-—-and-it-already-knows-how-to-monetize-it-1200x675.png 1200w" sizes="(max-width: 1920px) 100vw, 1920px" /></div>As AI Mode expands, ad formats, reporting, and control are starting to take shape, with Google playing a long game competitors can’t match.

As conversational search gains traction, the bigger question isn’t who has more users, but who can monetize them. 
Google enters this phase with a massive advantage: mature ad systems, deep advertiser adoption, and decades of optimization. Early AI Mode signals point to a measured rollout.
The panic phase is over
After a period of panic within the company, Google’s built-in advantages, coupled with massive capital expenditures, have helped it regain ground on category leader ChatGPT in LLM search.
In December 2025, Google’s own code red became OpenAI’s code red.
The dust will continue to settle, and analysts have different takes. But one signal stands out: in a major validation, Apple has chosen Google to power its own AI.
It was perhaps premature to assume Google Search would simply lose to ChatGPT on product. That was the consensus at the start of 2025. Google shares fell about 30% from peak to trough before rallying 130%. Today, the company is valued at roughly $3.6 trillion, just behind Apple.

  
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Why monetization will decide the winner
Why did Google’s recent progress in LLM conversational queries — in the form of AI Overviews and AI Mode — have such a large impact on the company’s valuation in such a short time?
Ultimately, it comes down to visibility of financial projections. In a company with so much to defend, Google’s CFO and leadership team needed to determine whether shifts in user behavior — in how search works and how it makes money — would weaken the business model or reinforce it.
Net-net: Google before the shift: huge. Google after the shift: ditto.
Google stock price. The market changed its mind.



Visibility — in the sense of financial planning, not in the SERP — means a great deal to Google’s advertisers, too.
A large proportion of your annual digital advertising budget is likely allocated to Google. You also still care about how you appear in organic results and increasingly, how your company appears in AI Mode, ChatGPT, Claude, and similar environments.
“I’m fine with 30% less of my business coming in from Google, and figuring out lots of complicated ways to replace it,” … said no advertiser ever.
How monetization will play out in AI search
The competition between monetization models in LLM conversations — especially between the two leaders, ChatGPT and Google’s AI Mode — will play out differently from the broader race for overall user share. There are several moving parts to keep an eye on:
Overall assumptions about ad formats and “how to monetize.”
Pace of rollout.
Whether users and public opinion recoil at ads.
Advertiser success rates based on performance measurement.
Advertiser adoption, including adoption by the agency ecosystem.
Platform targeting options.
Advantages of fuller-funnel ad journeys and data collection.
Privacy, safety, policies, and enforcement.
An all-encompassing consumer brand vs. a better mousetrap.
And a few other factors.
Right now, OpenAI is at a critical moment because it’s still so early in its monetization. It’s still testing an inefficient auction model confined to a small group of large advertisers. (Some ads, from their pilot, spotted here.) It may be some time before more mature tools and reporting emerge.
Most recently, OpenAI brought ad platform Criteo (often used for retargeting) on as a partner. The Trade Desk, the world’s largest non-Google DSP for programmatic, is also in the mix. Some observers have speculated about deeper partnerships or even an acquisition of The Trade Desk, though that seems unlikely.
In any case, outsourcing inventory to programmatic partners is a pragmatic step in OpenAI’s monetization strategy. It also underscores how early the company is in building a scalable ads business.
Despite a broad rollout with partners, OpenAI is stepping back from “checkout in chat” integrations after limited adoption from both merchants and consumers. When your primary competitor has a 25-year head start, the learning curve is steep.
So does it make sense now for advertisers to lean into evolving Google user behavior and figure out how to ride the wave?
AI Mode considerations for Google advertisers
Expect the transition to more AI Mode sessions — and eventual monetization — to be smoother than initially anticipated. If you’re an advertiser, AI Mode need not equal panic mode.
How do these LLM sessions look to users? Obvious to you and me, but likely less so for many searchers.
Depending on how you search, AI Overviews may appear above other results on the SERP. That’s becoming a natural extension of Google Search sessions.
But that’s not the real conversational layer. The LLM workflow happens in AI Mode. How often users go there remains to be seen.
It’s improving quickly. Unlike ChatGPT, Google AI Mode downplays how it finds information, whether it is “reasoning,” and which model is being used. The experience feels relatively seamless.
It’s still early, but ads are already appearing in some cases. The key question is how this evolves, and what advertisers should be paying attention to.
The key areas to watch are:
Extent of monetization.
Different ways to monetize.
Advertiser control and campaign types.
Reporting.
Funnel stage.
1. Extent of monetization
AI Mode is in a popularity contest and a price war with ChatGPT. Google will likely try to grind down competitors in LLM conversations by monetizing lightly and gradually. Perplexity and Anthropic, for their part, are completely shunning ads.
An ad-free AI Mode results page. We’re going to see a lot of this.



The result will be less ad volume in this space than you might expect. It may also increase the commercial value of organic visibility in LLM-driven results, leading to renewed focus on content and reputation fundamentals.
Forget ad campaign FOMO, then. It will be interesting to place ads alongside AI-driven sessions, but don’t break the bank. Implement, watch, and learn at your own pace.
2. Different ways to monetize
Experienced advertisers know there are a few ad formats to consider in any situation like this. The main ones would be: text ads triggered by keywords or similar signals, in a reasonably native format, and feed-based Shopping type ads.
Another way to make money is to allow direct checkout — to take a cut of transactions. As noted above, OpenAI is backtracking on this approach, though not eliminating it entirely. How important it will be for Google merchants (and Google itself) remains to be seen.
Google’s experience likely allows it, again, to play the long game, study the data, and bring partners and advertisers along for the ride, on an impressive scale.
Recently, Loblaw inked an integration deal with OpenAI. A week later, it made a similar deal with Google.
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3. Advertiser control and campaign type
In terms of execution, we’ll want to be on the lookout for which kinds of campaign types in Google Ads make your ads eligible to show in AI Mode.
You can learn everything you want about how ads will show in AI Overviews in Google’s help files. Unsurprisingly, text and shopping campaigns from Performance Max, standard shopping, and keyword campaigns make your ad eligible to show in AI Overviews.
Google says less about AI Mode in its documentation, for now.
Our agency recently received a Google deck outlining a “Shopping Expansion” beta. There’s little mention of AI Mode, though one table, in a subtle way, refers to both AI Overviews and AI Mode.
My expectation is that Google will gradually ease users into AI Mode and test ads sparingly. Even if ads appear in a small share of sessions — say 0.5% — that will still generate significant data and feedback.
Advertiser control will likely be even more limited than it is today. In the world of feed-based ads, you have some levers, but the massive machine learning that controls matching is held by Google and the real-world behavioral ecosystem. 
To a lesser extent, that’s also how keyword matching works. Micromanagers won’t be too comfortable, but the impact of the ads could still be powerful, especially with data-driven attribution.
Here’s hoping new signals, new reporting breakouts, and new levers become available to advertisers. Namely: audiences including cool personas; demographics; novel larger buckets around life stages; novel characteristics we haven’t even dreamt of yet, such as their language ability level or aspects of how they interact with the LLM.
4. Reporting
The real question is: will reporting be transparent and insightful? We need to at least be able to look at all available metrics for ads that showed in AI Mode specifically. Time will tell. 
Microsoft seems to be the first out of the gate with AI-conversation-specific reporting breakouts. We expect no less from Google and are impatiently awaiting further guidance on this front — primarily on what kind of reporting will be directly available in the Google Ads interface.
It would be easy for the casual observer to blindly believe that somehow, you’ll never be eligible to show up in AI Mode or AI Overviews unless you adopt certain Google Ads campaign types. There’s a lot of rhetoric around AI Max. 
I’d advise advertisers to do their own research and run their campaigns to suit themselves. Hint: AI Max isn’t the only magical gateway to AI-using users and might not even be a good or appropriate one for many advertisers.
Once reporting is beefed up, you’ll want to know how well the AI-specific inventory is doing, however your campaigns wind up serving there.
5. Funnel stage
But that leads us to a wrinkle. Although ads appearing astride AI Mode conversations could certainly be low-funnel (think Shopping ads in high-intent situations), much of the opportunity here is thematic. Your company may now enjoy new opportunities to associate itself with higher-order thinking, new audience definitions, and new intent characteristics.
This opportunity probably comes to your door dressed up as “lower ROAS.” It may be tempting, therefore, to shy away. 
That’s a mistake. 
Why? 
Like what happened when everyone started using mobile phones, that’s where the consumer will be. Ugly early numbers shouldn’t blind us to the imperatives associated with scale.

  
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When the funnel moves, everything moves
Midsized to larger advertisers should step back and reimagine how they approach growth and market impact. There are meaningful opportunities for companies to align more closely with their audiences.
This has little to do with AI Max, and everything to do with how LLM-driven research works. Compare how publishers have traditionally assembled consumer personas — often from fragmented behavioral signals — with the much richer context that can emerge from ongoing interactions with an LLM.
A net shift up-funnel could follow. Imagine a world where a significant share of Google search sessions takes place within conversational experiences. Your ads will need to show up there, where appropriate. If that happens, your funnel — and your competitors’ — will move with it.
Will you be ready?

As AI Mode expands, ad formats, reporting, and control are starting to take shape, with Google playing a long game competitors can’t match.

AI Mode is Google’s next ads engine — and it already knows how to monetize it

<div><img width="1920" height="1080" src="https://searchengineland.com/wp-content/seloads/2026/03/search-battlefield.png" class="attachment-large size-large wp-post-image" alt="Search battlefield" style="margin-bottom: 15px;" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2026/03/search-battlefield.png 1920w, https://searchengineland.com/wp-content/seloads/2026/03/search-battlefield-768x432.png 768w, https://searchengineland.com/wp-content/seloads/2026/03/search-battlefield-1536x864.png 1536w, https://searchengineland.com/wp-content/seloads/2026/03/search-battlefield-1200x675.png 1200w" sizes="(max-width: 1920px) 100vw, 1920px" /></div>Shopping searches are no longer safe from AI Overviews. A new study of 20.9 million SERPs shows AI summaries spreading fast.

<div><img width="1920" height="1080" src="https://searchengineland.com/wp-content/seloads/2026/03/search-battlefield.png" class="attachment-large size-large wp-post-image" alt="Search battlefield" style="margin-bottom: 15px;" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2026/03/search-battlefield.png 1920w, https://searchengineland.com/wp-content/seloads/2026/03/search-battlefield-768x432.png 768w, https://searchengineland.com/wp-content/seloads/2026/03/search-battlefield-1536x864.png 1536w, https://searchengineland.com/wp-content/seloads/2026/03/search-battlefield-1200x675.png 1200w" sizes="(max-width: 1920px) 100vw, 1920px" /></div>
<p>Google’s AI Overviews now appear on 14% of shopping queries, up 5.6x from 2.1% in November 2025, according to new Visibility Labs analysis.</p>



<ul class="wp-block-list">
<li>Ecommerce brands have been mostly unaffected by AI-driven click loss in Search. That seems to be changing.</li>
</ul>



<p><strong>Why we care. </strong>As Google&#8217;s AI Overviews expand across product searches, ecommerce brands face a growing risk of losing visibility and clicks before shoppers reach standard organic or Shopping listings.</p>



<p><strong>The details</strong>. The analysis targeted product-intent keywords tied to results with a Shopping box, paid or organic — terms like “weighted blanket,” “mushroom coffee,” “protein powder,” and “blue T-shirts.”</p>



<ul class="wp-block-list">
<li>That produced 20,900,323 shopping keywords. </li>



<li>Of those, 2,919,229 triggered an AI Overview — 14.0% penetration.</li>
</ul>



<p><strong>What they&#8217;re saying.</strong> Report author Jeff Oxford, founder and CEO of Visibility Labs, concluded:</p>



<ul class="wp-block-list">
<li>&#8220;Focusing on AI SEO is no longer a luxury, it’s becoming a necessity. Ecommerce sites need to think beyond traditional SEO and start incorporating AI SEO best practices into their search optimization strategy.&#8221;</li>
</ul>



<p><strong>The report.</strong> <a href="https://visibilitylabs.ai/ai-overviews-shopping-queries/" target="_blank" rel="noopener">AI Overviews Now Appear on 14% of Shopping Queries, Up 5.6x in 4 Months (Study of 20.9M SERPs)</a></p>


Google’s AI Overviews now appear on 14% of shopping queries, up 5.6x from 2.1% in November 2025, according to new Visibility Labs analysis.
Ecommerce brands have been mostly unaffected by AI-driven click loss in Search. That seems to be changing.
Why we care. As Google’s AI Overviews expand across product searches, ecommerce brands face a growing risk of losing visibility and clicks before shoppers reach standard organic or Shopping listings.
The details. The analysis targeted product-intent keywords tied to results with a Shopping box, paid or organic — terms like “weighted blanket,” “mushroom coffee,” “protein powder,” and “blue T-shirts.”
That produced 20,900,323 shopping keywords. 
Of those, 2,919,229 triggered an AI Overview — 14.0% penetration.
What they’re saying. Report author Jeff Oxford, founder and CEO of Visibility Labs, concluded:
“Focusing on AI SEO is no longer a luxury, it’s becoming a necessity. Ecommerce sites need to think beyond traditional SEO and start incorporating AI SEO best practices into their search optimization strategy.”
The report. AI Overviews Now Appear on 14% of Shopping Queries, Up 5.6x in 4 Months (Study of 20.9M SERPs)

Shopping searches are no longer safe from AI Overviews. A new study of 20.9 million SERPs shows AI summaries spreading fast.

Google AI Overviews now appear on 14% of shopping queries: Report

<div><img width="1920" height="1080" src="https://searchengineland.com/wp-content/seloads/2026/03/traffic-shrinking.png" class="attachment-large size-large wp-post-image" alt="Traffic shrinking" style="margin-bottom: 15px;" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2026/03/traffic-shrinking.png 1920w, https://searchengineland.com/wp-content/seloads/2026/03/traffic-shrinking-768x432.png 768w, https://searchengineland.com/wp-content/seloads/2026/03/traffic-shrinking-1536x864.png 1536w, https://searchengineland.com/wp-content/seloads/2026/03/traffic-shrinking-1200x675.png 1200w" sizes="(max-width: 1920px) 100vw, 1920px" /></div>Google Search pageviews fell 34% year over year and Discover dropped 15%, as ChatGPT referrals rose 200% but remained under 1% of traffic.

<div><img width="1920" height="1080" src="https://searchengineland.com/wp-content/seloads/2026/03/traffic-shrinking.png" class="attachment-large size-large wp-post-image" alt="Traffic shrinking" style="margin-bottom: 15px;" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2026/03/traffic-shrinking.png 1920w, https://searchengineland.com/wp-content/seloads/2026/03/traffic-shrinking-768x432.png 768w, https://searchengineland.com/wp-content/seloads/2026/03/traffic-shrinking-1536x864.png 1536w, https://searchengineland.com/wp-content/seloads/2026/03/traffic-shrinking-1200x675.png 1200w" sizes="(max-width: 1920px) 100vw, 1920px" /></div>
<p>Small publishers are seeing sharp traffic declines from AI search experiences, according to new data from thousands of global sites using Chartbeat analytics.</p>



<p><strong>The details.</strong> Publishers with 1,000 to 10,000 daily pageviews lost 60% of search referral traffic over two years, Chartbeat found.</p>



<ul class="wp-block-list">
<li>Mid-sized sites with 10,000 to 100,000 daily pageviews lost 47%.</li>



<li>Large publishers with more than 100,000 daily pageviews were down 22%.</li>
</ul>



<p><strong>Reality check.</strong> AI referrals aren’t replacing lost search traffic.</p>



<ul class="wp-block-list">
<li>Google Search pageviews fell 34% year over year.</li>



<li>Google Discover dropped 15%.</li>



<li>ChatGPT referrals rose 200% but still account for less than 1% of total traffic.</li>
</ul>



<p><strong>Yes, but.</strong> Traffic is shifting, not disappearing. Total weekly pageviews across publishers fell just 6% from 2024 to 2025, a typical swing tied partly to the news cycle. Search is shrinking as a share of traffic, while direct, internal, and messaging channels are growing.</p>



<p><strong>Why we care.</strong> SEO has long been the growth engine for smaller sites. That’s no longer true. If you don’t have a strong brand, direct audience relationships, repeat visitors, or differentiated value, you face the biggest risk as search referrals decline.</p>



<p><strong>The Axios report.</strong> <a href="https://www.axios.com/2026/03/17/chartbeat-search-traffic-ai-chatbots">Exclusive: Small publishers hit hardest by search traffic declines</a>.<br></p>


Small publishers are seeing sharp traffic declines from AI search experiences, according to new data from thousands of global sites using Chartbeat analytics.
The details. Publishers with 1,000 to 10,000 daily pageviews lost 60% of search referral traffic over two years, Chartbeat found.
Mid-sized sites with 10,000 to 100,000 daily pageviews lost 47%.
Large publishers with more than 100,000 daily pageviews were down 22%.
Reality check. AI referrals aren’t replacing lost search traffic.
Google Search pageviews fell 34% year over year.
Google Discover dropped 15%.
ChatGPT referrals rose 200% but still account for less than 1% of total traffic.
Yes, but. Traffic is shifting, not disappearing. Total weekly pageviews across publishers fell just 6% from 2024 to 2025, a typical swing tied partly to the news cycle. Search is shrinking as a share of traffic, while direct, internal, and messaging channels are growing.
Why we care. SEO has long been the growth engine for smaller sites. That’s no longer true. If you don’t have a strong brand, direct audience relationships, repeat visitors, or differentiated value, you face the biggest risk as search referrals decline.
The Axios report. Exclusive: Small publishers hit hardest by search traffic declines.

Google Search pageviews fell 34% year over year and Discover dropped 15%, as ChatGPT referrals rose 200% but remained under 1% of traffic.

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