Google quietly published a new guide inside Search Central last week: the Guide to Optimizing for Generative AI Features on Google Search. Most coverage framed it as reassurance, but read closely, it is Google’s most direct warning yet about which content is about to become invisible. The guide sits in the SEO Fundamentals section, explicitly states that optimizing for generative AI search is still SEO, and draws a sharp line between commodity and non-commodity content.
Why the Guide’s Location Matters
The guide lives in Search Central’s SEO Fundamentals section, right next to the SEO Starter Guide and the helpful content guide. Not in a separate “AI” section. Not framed as a new discipline. Google is making a deliberate point: optimizing for generative AI search is still SEO.
This matters because an entire consulting industry has grown up around AEO (Answer Engine Optimization), GEO (Generative Engine Optimization), and “llms.txt” as must-have AI fixes. Google is now publicly pushing back against that narrative in official documentation.
What Are RAG and Query Fan-Out?
The guide covers two technical points behind the “just do SEO” message.
- RAG (Retrieval-Augmented Generation), AI Overviews are built from real pages in Google’s index. The system retrieves your content and uses it to generate answers. If your page is indexed, ranks well, and is technically eligible, it can appear in AI results.
- Query Fan-Out, For complex questions, Google runs several related searches at once and combines the results. Your page doesn’t need to match the exact wording of the user’s query, it just needs to answer one of the related sub-questions well.
In practice, depth and semantic relevance outweigh exact-match keyword targeting. Ten thin pages targeting slight query variations split ranking signals and can run afoul of Google’s scaled content abuse policies.
Could a Nosnippet Tag Be Blocking Your Pages from AI Overviews?
Google’s guide flags a technical detail that could block pages from AI Overviews.
To appear in generative AI features, a page must be eligible to show a snippet. Pages with a nosnippet or max-snippet:0 directive are categorically excluded, regardless of content quality or ranking position.
For many teams, nosnippet has been a minor technical setting applied at scale through CMS templates or old configs. Now it’s a strategic liability. Audit your high-impression pages for nosnippet tags immediately.
What Is Google Telling You to Stop Doing?
Google’s guide includes a section called “What You Don’t Need to Do”, and this is where the real signal lives. Google doesn’t publish mythbusting sections preemptively. They do it when practices have spread far enough to warrant a public response.
Here’s what Google says you can stop worrying about:
- llms.txt, Google explicitly says this file receives no special treatment. It may be crawled like any other page, but it doesn’t influence how Googlebot crawls your site or how your content appears in AI Overviews. (It may still matter for other AI crawlers, Anthropic, Perplexity, OpenAI, but keep that separate from your Google strategy.)
- Breaking content into short paragraphs for AI readability is unnecessary.
- Rewriting for AI, you don’t need AI-specific phrasing.
- Fake brand mentions, Planting manufactured mentions across forums and roundups doesn’t help. Same spam rules, same penalties.
- Overfocusing on structured data: no special schema markup grants AI Overview eligibility. Use structured data for rich results, but don’t treat it as an AI lever.
What Is the Non-Commodity Content Test?
Google’s quality recommendations contain a distinction most readers will skim past.
Google draws a line between commodity and non-commodity content:
- Commodity: “7 Tips for First-Time Homebuyers”, common knowledge, available from anyone, adds no unique insight.
- Non-commodity: “Why We Waived the Inspection and Saved Money: A Look Inside the Sewer Line”, a specific, experienced perspective that only someone who actually did this could write.
The test Google is really asking: Could a generative AI model produce an equally useful version of this page?
If the answer is yes, AI Overviews can replace the page’s content.
Some research guides can pass a content quality audit, rank well, and still be replaceable by AI, because structural defensibility depends on the content type, not execution quality.
What Does Non-Commodity Content Look Like in Practice?
- A comparison article aggregating feature lists from CRMs? Commodity. A post documenting exactly how a team migrated from HubSpot to Pipedrive, what broke during the transition, and what they’d do differently? Non-commodity.
- A how-to guide with generic steps for setting up Google Search Console? Commodity. A guide walking through what GSC data actually revealed about a specific site’s traffic collapse, with annotated screenshots and real diagnosis? Non-commodity.
- An industry trends piece summarizing what AI means for content marketing? Commodity. An opinionated analysis from someone running content operations at scale, drawing on their own performance data? Non-commodity.
The real difference comes from knowing the work directly and understanding what it takes.
What Should You Actually Do Now?
This list ranks actions from Google’s guide by impact relative to effort.
- Run the non-commodity audit on your top pages. For each high-impression page in Search Console, ask: “Could ChatGPT write this article in 90 seconds and produce something essentially identical?” If yes, the page needs an upgrade, original data, first-hand experience, screenshots, or a specific case study.
- Audit snippet eligibility. Find every page with
nosnippetormax-snippet:0and cross-reference against your highest-authority pages. Every overlap is a page categorically excluded from AI Overviews. - Consolidate thin cluster pages. One strong, in-depth page outperforms ten thin pages covering tiny slices of the same topic. Merge weak cluster content into a cornerstone page.
- Stop investing in llms.txt and AI-specific markup for Google. Reallocate that time to content improvements that actually influence visibility.
- Invest in content types AI cannot produce. Original research, proprietary data, case studies, and first-hand expert insights are the most durable forms of content in the AI search era.
- Don’t overlook feeds. For local and e-commerce businesses, Google explicitly names Merchant Center and Google Business Profile as input channels into AI responses.
- Treat semantic HTML as infrastructure. Clean heading structure, logical layouts, and accessible labels matter for both users and future AI agents that interact with websites.
Need help running a non-commodity content audit or checking your site for nosnippet tags that could be blocking AI Overviews? Contact NewSunSEO, we help local businesses stay visible as search evolves.
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FAQ
Is optimizing for AI Overviews the same as traditional SEO?
Yes. Google placed its generative AI optimization guide inside the SEO Fundamentals section of Search Central, alongside the SEO Starter Guide and helpful content guide, to signal that optimizing for AI features is still SEO, not a separate discipline.
Can nosnippet tags prevent a page from appearing in AI Overviews?
Yes. Google’s guide states that to appear in generative AI features, a page must be eligible to show a snippet. Pages with nosnippet or max-snippet:0 directives are categorically excluded, regardless of content quality or ranking position.
What is the difference between commodity and non-commodity content?
Commodity content is widely available common knowledge, like a generic “7 Tips for First-Time Homebuyers” article, that a generative AI model could produce an equally useful version of. Non-commodity content is grounded in specific, first-hand experience, like a personal account of waiving a home inspection and examining the sewer line, which only someone who actually did the thing could write.
Related coverage
- Google’s Generative AI Search Guide: What It Actually Says About Content Strategy
- How Consumers Actually Search for Local Businesses in 2025
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