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Google, AI and SEO: Google's Stated Position

99Visibility Research · Updated October 21, 2026 · 8 min read

Short answer

Google says AI-generated content is fine when it helps people. Generating many pages mainly to manipulate rankings is scaled content abuse. AI Overviews and AI Mode need no special markup, llms.txt file or AI-style writing: a page must be indexed and eligible to show with a snippet. E-E-A-T isn't a ranking factor, and there is no score to raise. These are Google's own assertions, not published studies.

Key takeaways

  • Google judges content by whether it helps users, not by whether AI wrote it, and it acts against many pages produced to manipulate rankings.
  • To appear as a link in AI Overviews or AI Mode, a page must be indexed and snippet-eligible, and Google says there are no additional technical requirements.
  • Google says it ignores llms.txt and AI text files, needs no special writing style, and does not treat E-E-A-T as a ranking factor or score.
  • Google's statements are assertions, so check them against outside tests such as Ahrefs' schema study and Otterly's 2,000-post experiment.
  • The levers you control are access levers: Googlebot permission, index eligibility, snippet controls and the Search Console generative AI setting.

Google's position in five statements

Google has published a clear position on AI and search across several documents. As of October 2026, it comes down to five statements.

Topic What Google says Where it says it
AI-written content "Appropriate use of AI or automation is not against our guidelines." Guidance on generative AI content
Scaled content Scaled content abuse is "when many pages are generated for the primary purpose of manipulating search rankings and not helping users" Spam policies
Markup and files "You don't need to create new machine readable files, AI text files, markup, or Markdown" to appear in Search, including its generative AI features AI optimization guide (2026-07-10)
Eligibility A page "must be indexed and eligible to be shown in Google Search with a snippet", and "There are no additional technical requirements" AI features doc (updated 2025-12-10)
E-E-A-T E-E-A-T "isn't a specific ranking factor" Helpful content guide

The common thread: Google says there is no separate AI track. Its generative features sit on top of the same index, the same spam policies and the same quality systems as classic Search. The tool that wrote a page is not the issue. Volume without value is.

If you want the long version of the AI content rules, read our digest of Google's guidance on AI-generated content. The practical next move is simpler: treat AI-assisted pages exactly like any other page, and ask whether each one adds something a reader can't get elsewhere.

How Google's AI features choose pages

Google's AI features pull from Google's search index. That fact explains most of Google's position.

Access

Googlebot crawls for all Google Search surfaces. There is no separate robots.txt token for AI Overviews or AI Mode. Google's wording is that robots.txt directives for Googlebot are the control. Googlebot also renders JavaScript, unlike most other AI crawlers, so client-side content is less of a risk on Google than on ChatGPT or Perplexity.

Eligibility and retrieval

A page that is indexed and can show a snippet is eligible. Eligibility is not inclusion. Google says "Indexing and serving isn't guaranteed", and AI Overviews often do not trigger at all. When they do, Google may use query fan-out, issuing several related searches across subtopics. You cannot see those queries.

Generation

Google states that AI Overviews and AI Mode "may use different models and techniques" and can return different links for the same question. Our guides to AI Overviews SEO and how AI Mode picks links cover each surface.

The Gemini app is a different product. Its training and grounding use is governed by the Google-Extended token, which Google says does not affect inclusion in Google Search. See Gemini visibility and Google-Extended for that path.

What this means: if you are healthy in Google Search, you are eligible for Google's AI features. There is no extra step to buy.

These are assertions, not studies

Google's statements are the best available evidence for Google's own surfaces. They are still assertions. Google publishes what its systems are meant to do, not measurements anyone outside can repeat. Negative claims such as "E-E-A-T isn't a ranking factor" cannot be tested from outside, and Google has commercial and regulatory reasons to frame its systems a certain way.

Outside tests are thin, but the ones that exist point the same way.

  • Schema. Ahrefs tracked 1,885 pages adding schema against matched controls and found no major uplift on any platform. AI Overviews citations fell 4.6%, a statistically significant drop. One boundary matters: every treated page already had 100+ AI Overview citations, so whether schema helps a page enter the set is untested, not refuted.
  • Scaled AI content. OtterlyAI published two new sites with about 1,000 AI-generated posts each. Google deindexed both, and Otterly reports zero manual actions on either. The site with a fictional expert author box lasted about 14 days. The site with no author lasted about 90.

The Otterly result fits Google's scaled content abuse policy, and the silent removal is a reminder of how algorithmic deindexing differs from a manual action. It is also one pair of sites, run by a vendor that sells AI tracking. Treat it as a consistent data point, not proof.

The move: follow Google's stated rules, and be skeptical of anyone who claims a measured Google AI lever that Google itself denies.

What you control and what you don't

The evidence supports a short list of controls, and almost all of them work by removing blocks rather than adding signals.

In your control

  • Googlebot access. A robots.txt rule or firewall that blocks Googlebot removes you from Search and its AI features together.
  • Index eligibility. A stray noindex takes a page out of both.
  • Snippet controls. nosnippet, max-snippet and data-nosnippet limit what Google can show, including in AI features. Templates often apply these by accident.
  • The Search Console generative AI control. Inclusion is the default for all properties, so this is an opt-out. It is still rolling out to a subset of owners, and child properties inherit from the parent by default. A property can be excluded without anyone noticing.
  • Google-Extended, for Gemini app training and grounding only.
  • What your pages say. A specific fact stated plainly on a fetchable page (a price, a number, a one-line definition) gives the engine a sentence it can quote.

Opting out of display is not the same as opting out of all use. Google says content can still help power Search as a whole. Our answer on whether Google can still use your content after opting out covers the detail.

Not in your control

  • Whether an AI Overview triggers for a query.
  • Which fan-out queries Google runs.
  • Which eligible pages it selects and cites.
  • What the model writes about you.

Nobody outside Google controls these. Anyone promising otherwise is selling a claim Google's own documents contradict.

A practical order of work

Work from access outward. Each step only matters once the one before it passes.

  1. Confirm Googlebot can reach your key pages. Check robots.txt, then check that your CDN or firewall returns a 200 to Googlebot rather than a 403 or a challenge page.
  2. Confirm the pages are indexed. Use URL Inspection in Search Console. Fix noindex, canonical conflicts and crawl errors first.
  3. Audit snippet directives. Search templates for nosnippet, max-snippet:0 and data-nosnippet. Keep only the ones someone chose on purpose.
  4. Check the generative AI setting in Search Console, on the parent property and every child. Look for an inherited opt-out.
  5. Decide on Google-Extended based on whether you want Gemini app training and grounding use. It does not change AI Overviews.
  6. Put load-bearing facts in plain text. Pricing, plans, locations and what you do should be stated clearly and consistently across your site, so there is one version to quote.
  7. Review scaled pages. If you publish many templated or AI-assisted pages, cut or merge the ones that add nothing. That is the pattern Google's spam policy describes.

Say you run a hypothetical accounting firm with 400 city landing pages that differ only by town name. Step 7 is your biggest risk, and no markup fixes it.

Measuring Google AI visibility without a fake rank

Google's first-party data is limited. As of October 2026, the Search Console generative AI report shows impressions for AI Overviews and AI Mode, with no clicks, no CTR and no position. Google's page on third-party SEO tools states that they "don't have access to our internal ranking data".

So there is no ground truth for an "AI Overviews rank". Any tool reporting one has built a model, not a measurement. Our guide on why position isn't the metric explains what to track instead: presence, citations and whether the facts in the answer are right, measured per surface.

A practical baseline is to ask the questions your buyers ask and record what each AI engine says. The free checker on this site runs up to three buyer questions as a snapshot. Treat any result as a sample of answers at one moment, not a fixed score.

Common mistakes

These recommendations still circulate, and Google's own documents contradict them.

  • Adding FAQ schema for AI answers. Google says structured data isn't required for generative AI search, and FAQ rich results were deprecated in May 2026.
  • Ripping out existing schema. The opposite error. Google says existing markup does no harm. It just isn't a lever for AI answers.
  • Publishing llms.txt for Google. Google says Search ignores it and it will neither help nor harm. No other engine documents reading it either.
  • Rewriting for an "AI-friendly" style, chunking pages or chasing long-tail variants. Google says you don't need to write a specific way for generative AI search and that there is no ideal page length.
  • Chasing an E-E-A-T score. No such number exists. Good author information can help readers, but it is not a dial.
  • Mass-publishing AI pages. This is the textbook scaled content abuse case, and removal can arrive with no notice.
  • Blocking Googlebot to avoid AI Overviews. That removes you from Search entirely. Use snippet controls or the Search Console setting instead.
  • Blocking Google-Extended to leave AI Overviews. It governs the Gemini app, not Search.

Frequently asked questions

Does Google penalize AI-generated content?

Not for being AI-generated. Google says appropriate use of AI or automation is not against its guidelines. It acts against scaled content abuse: many pages generated mainly to manipulate rankings without helping users. In Otterly's public test, Google removed two new sites carrying about 1,000 AI posts each, with no manual action reported on either. The lesson is about volume without value, not the tool that wrote the text.

Do I need an llms.txt file for Google AI Overviews?

No. Google's AI optimization guide, dated July 2026, says you don't need machine readable files, AI text files, markup or Markdown to appear in Search, including its generative AI features, because Google Search ignores them. Google adds that maintaining one for other services is fine. No other major engine documents reading llms.txt, so treat it as optional and unproven everywhere.

Does blocking Google-Extended remove me from AI Overviews?

No. Google-Extended controls whether your content is used for Gemini app training and grounding. Google says it does not affect inclusion in Google Search and is not a ranking signal. AI Overviews and AI Mode are governed by Googlebot access, index and snippet eligibility, and the Search Console generative AI control where it has rolled out to your property.

Can I see my position in Google AI Overviews?

No. As of October 2026, Search Console's generative AI report shows impressions only, with no clicks, CTR or position. Google also states that third-party tools don't have access to its internal ranking data. Any tool that reports an AI Overviews rank is showing its own model. Track presence, citations and factual accuracy per surface instead.

Should I remove structured data now that it isn't an AI lever?

No. Google says existing markup does no harm, and structured data still powers some regular search features. What the evidence does not support is adding schema to get cited in AI answers. Ahrefs' matched test found no major uplift and a 4.6% fall in AI Overviews citations on pages that were already heavily cited. Keep what you have, and spend new effort on access and clear facts.

Sources

  1. Google's Guide to Optimizing for Generative AI Features on Google Search
  2. AI Features and Your Website
  3. Spam Policies for Google Web Search
  4. Google Search's Guidance on Generative AI Content on Your Website
  5. Creating Helpful, Reliable, People-First Content
  6. We Tracked 1,885 Pages Adding Schema. AI Citations Barely Moved.

This page is AI-assisted. It was written from a verified evidence base and checked against our editorial policy. Engine behaviour changes often; facts are as of October 21, 2026.

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