Google's AI Optimization Guide: What It Actually Says (And What to Do)
Updated 11 October 2026Free check: can AI read your site?
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Google published guidance on its AI search features such as AI Overviews and AI Mode. It is short and direct, and it contradicts part of the “AI SEO” advice online. Below is a walkthrough and what follows for your site. The originals: Google Search Central’s guide to optimizing for generative AI (version of July 10, 2026, checked October 11, 2026) and the page “AI features and your website”.
The Core Mechanism: RAG Over the Normal Index
The main point: Google’s AI features, as it describes them, work over the regular search index. Google says it relies on its core Search ranking systems to retrieve relevant, up-to-date pages from the Search index. In other words, they first find pages in the index, then write the answer (the industry calls this RAG).
In practice: if a page is not indexed, it is unlikely to appear in AI answers either. The foundation is the same: ordinary SEO.
How Google AI Overviews Work (Simplified)
- User submits a query
- Google runs "query fan-out" — generates multiple sub-queries
- Each sub-query finds suitable pages in the regular index
- RAG model synthesizes an answer from those pages
- A page may get a link if it fits one of those sub-queries
What Google Actually Recommends
1. Your content must be indexable and snippet-eligible
This is the baseline. According to Google’s guidance, a page must be indexed and snippet-eligible to appear in its AI features. Check robots.txt, noindex tags and snippet directives: if snippets are blocked, the page is unlikely to be used in AI Overviews.
2. Create unique content with a distinctive viewpoint
Google’s guide says to create “non-commodity content” that is helpful, reliable and people-first, with unique expert or experienced takes that go beyond common knowledge. A page that repeats what thousands of others say adds little for the reader. Original data, specific experience and a clear point of view are more useful, though that guarantees no link.
3. Semantic HTML + clear structure
Use proper heading hierarchy (h1 → h2 → h3), semantic elements (<article>, <section>, <nav>), and descriptive headings. This helps people and machines split the page into meaningful parts.
Avoid walls of text. Short paragraphs, lists and clear sections make it easier to find a specific answer.
4. Schema.org structured data — not required
Google’s guide says structured data isn’t required for generative AI search and that no special schema.org markup is needed. If you use it, it should match the visible text on the page. Google no longer shows FAQ rich results in Search (since May 7, 2026).
What is known about FAQPage markup and AI answers is in a separate article. In short, there is no confirmed effect on citations.
5. Good page experience (speed + mobile)
The guide advises providing a good page experience. Speed and mobile usability are part of that; you can measure them, for example, with Core Web Vitals in PageSpeed Insights (the guide itself does not use the term). A site blocked to crawlers will not be indexed, and so will not appear in the AI features.
What not to do
Don't do these
- llms.txt for Google — Google says you don’t need new machine-readable files, AI text files, markup or Markdown to appear in Google Search, and that Google Search itself doesn’t use them. llms.txt is a community-proposed format, not a standard. See our llms.txt guide.
- "Chunked" content written for AI — Creating artificially fragmented pages just to appear as clean RAG chunks. Write for humans first.
- Multiple page variations — Spinning the same text into dozens of near-duplicate pages for every query variant. This goes against Google’s spam policies.
- Text written by AI without review — Generic AI-generated text that adds nothing goes through the same quality checks as generic human text.
The Practical Checklist
Checklist: your site for Google’s AI features
How other AI services differ
Google’s guidance covers its own features only. Other services work differently, and the descriptions below rely on third-party sources and assumptions:
- Perplexity — searches the web and lists sources in
citations[]. Structured text and clear answers are easier to read. - ChatGPT (web search) — the Responses API has a web_search tool; which search service sits behind it OpenAI does not name.
- Claude — Anthropic does not publish how Claude chooses sources when it uses web tools.
More on how AI services find sources →
FAQ
Does Google require llms.txt for AI Overviews?
No. According to Google’s guide, you don’t need new machine-readable files or AI text files to appear in Google Search, and Google Search itself doesn’t use them.
Does Schema.org structured data help with AI Overviews?
Google says structured data isn’t required for generative AI search. Markup describes the page for Search and should match the visible text.
What should I do first?
Check that your important pages are indexed and snippet-eligible: in Google Search Console open the page indexing report and look for nosnippet tags. Without indexing, nothing else works.
How long until changes show?
Google gives no exact timelines. AI Overviews rely on the search index, so changes show after Google re-indexes the page.
The Bottom Line
Google’s message is simple: do ordinary SEO well and write genuinely useful content. The AI layer sits on top of the same index. No new tricks are needed, but there are no shortcuts either.
Content matters most. If a page looks like every other page in your category, the system has no reason to pick it. Original data, real experience and a clear point of view are more useful to the reader.
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