QBiz Leads AI

What Google Actually Says About Optimising for Its AI

Summary

In 2026 Google published its own guide to optimising for its generative AI features, and the short version is that there is no separate "AI SEO". The features behind AI Overviews and AI Mode run on Google's ordinary Search ranking systems, so the same foundations that earn normal Search visibility (crawlable pages, unique and useful content, a clear technical structure) are what make a page eligible to appear. Most of the "AEO" and "GEO" hacks circulating online are things Google explicitly lists as things you can ignore. This piece reads Google's own words, quotes the load-bearing lines, and translates them for a small business.

One caveat worth holding onto. Google's guide describes the Google ecosystem (Search, AI Overviews and Gemini), which all run on its own index, and beyond it the evidence is mixed. A large independent study of around 300,000 sites found an llms.txt file made no measurable difference to AI citations, while a smaller vendor study found a lift for well-structured files on developer-heavy sites, and Anthropic's Claude does recommend one. So the file is not useless everywhere, it is just nowhere near the must-have it is sold as. What moves the needle across every engine is off-site authority: brand mentions and quality backlinks. That is the real work, and it is why we run it as a managed service rather than sell a one-file fix.

Two checklists that cancel each other out

Picture an owner with two browser tabs open. One "AI SEO" checklist tells them to add an llms.txt file, chop every page into tiny chunks, and rewrite their copy in a special machine style. The other tells them none of that matters and only "mentions" count. The two lists contradict each other on almost every line, and both are written by people selling something.

There is a simpler move than picking a side: read what the platform itself publishes. Google maintains a public guide for site owners on how to appear in its generative AI features, and it is refreshed as those features change. Instead of trusting a third party's interpretation, you can quote the source.

Google published its own guide, so start there

Google's Search Central documentation now carries a page titled "Optimizing your website for generative AI features on Google Search" (its guide to AI Overviews and AI Mode), alongside a companion page, "AI features and your website". Both are official Google documentation, updated in 2026, and both are free to read. Everything in this article is drawn from those pages and the linked structured-data and helpful-content docs, quoted directly.

That matters because the guide contradicts a lot of the advice being sold around it. When a tactic and the platform's own documentation disagree, the documentation is the safer bet.

Google's own guide, sorted into two piles

What Google confirms matters

  • Its core Search ranking and quality systems
  • Unique, compelling, useful content
  • Crawlable, indexable pages
  • A clear technical structure

What Google says you can ignore

  • An llms.txt or other special AI file
  • Chopping pages into tiny chunks
  • Rewriting copy in an "AI style"
  • Extra schema.org markup just for AI
Nearly every paid "AEO hack" sits in the right-hand pile: things Google's own guide tells you to skip. The levers that move the outcome are the unglamorous ones on the left. Source: Google Search Central, generative-AI optimisation guide.

"Is SEO still relevant for generative AI search?" Google answers its own question

The guide opens by asking exactly the question owners are anxious about, and answers it plainly:

"In short, yes! The best practices for SEO continue to be relevant because our generative AI features on Google Search are rooted in our core Search ranking and quality systems."[1]

It goes further on the "AEO" and "GEO" labels being marketed as a new discipline:

"From Google Search's perspective, optimizing for generative AI search is optimizing for the search experience, and thus still SEO."[1]

In other words, Google frames its AI features as a new surface on top of the same ranking machinery, not a separate game with separate rules. If you want the background on those labels, our explainer on what answer engine optimisation actually is covers the same ground from the outside.

The one technical rule for appearing in AI Overviews and AI Mode

Owners expect a long technical checklist for the AI surfaces. Google's companion page says the opposite. To be eligible as a supporting link in AI Overviews or AI Mode, a page needs to be indexed and eligible to show in ordinary Search with a snippet, and then:

"There are no additional technical requirements."[2]

The same page adds that the wider fundamentals still pull their weight:

"While specific optimization isn't required for AI Overviews and AI Mode, all existing SEO fundamentals continue to be worthwhile".[2]

So the entry ticket to the AI features is the entry ticket to Search: get indexed, be crawlable, be eligible for a snippet. There is no secret second gate. Our walkthrough of how AI Overviews work and how to show up in them unpacks what "eligible" looks like in practice.

Unique, non-commodity content beats every trick

If the guide has a single load-bearing sentence, it is this one, and it outranks every technical suggestion Google lists:

"Creating content that people find unique, compelling, and useful will likely influence your website's presence in generative AI search in the long run more than any of the other suggestions in this guide."[1]

Google draws a sharp line between "commodity" content (its own example is a generic "7 Tips for First-Time Homebuyers" post) and "non-commodity" content that carries a first-hand or expert take the reader could not get from a summary. For a local business that is good news: the thing you have that a content mill does not is real experience of the work. Writing from it is the optimisation.

This is the same principle behind how AI engines pick which sources to trust: first-hand substance travels further than volume.

The same fundamentals, mapped

Google's guide reframes familiar SEO fundamentals for the AI context rather than replacing them. Read plainly, the chain is short: make content people-first and genuinely useful, keep the technical structure clean so it can be crawled and indexed, and keep your local and product details current so they can be surfaced. The guide's own framing of people-first content comes from its helpful-content page:

"People-first content means content that's created primarily for people, and not to manipulate search engine rankings."[3]

Nothing in that chain is AI-specific. It is the ordinary work, done properly.

The same fundamentals, in order

Step 1

People-first, useful content

Step 2

Clean technical structure

Step 3

Current local and product details

Result

Eligible across Search and its AI features

Google's guide reframes ordinary SEO fundamentals for the AI context rather than replacing them: none of these three stages is AI-specific. Source: Google Search Central, generative-AI optimisation and helpful-content guides.

What Google says you can ignore

The guide has a section headed "Mythbusting generative AI search: what you don't need to do". It is the part most worth reading, because it names the exact tactics being sold as essential and tells you to skip them for Google Search.

On special AI files:

"You don't need to create new machine readable files, AI text files, markup, or Markdown to appear in Google Search (including its generative AI capabilities), as Google Search itself doesn't use them."[1]

On breaking pages into fragments:

"There's no requirement to break your content into tiny pieces for AI to better understand it."[1]

On writing in a special style:

"You don't need to write in a specific way just for generative AI search."[1]

On piling up markup:

"Structured data isn't required for generative AI search, and there's no special schema.org markup you need to add."[1]

Read together, those four lines dismantle most of the paid "AEO" checklist. Google's guide does note that creating an llms.txt file will neither help nor harm your Google ranking, so it is not forbidden, just ignored by Google Search.

"You don't need to create new machine readable files, AI text files, markup, or Markdown to appear in Google Search ... as Google Search itself doesn't use them."
Google Search Central documentation, 2026
"There's no requirement to break your content into tiny pieces for AI to better understand it."
Google Search Central documentation, 2026
"You don't need to write in a specific way just for generative AI search."
Google Search Central documentation, 2026
"Structured data isn't required for generative AI search, and there's no special schema.org markup you need to add."
Google Search Central documentation, 2026
Four verbatim lines from Google's Mythbusting section, each naming a paid "AEO hack" and telling you to skip it for Google Search. Source: Google Search Central, generative-AI optimisation guide.

Where structured data still earns its place

"Not required for AI" is not the same as "pointless". Google's guide recommends keeping structured data as part of your overall strategy because it helps a page qualify for rich results in ordinary Search. Google's own structured-data documentation carries the case-study numbers, and they are worth keeping in proportion:

Those gains are about rich results and click-through in Search, not a secret AI ranking boost, and that is exactly how Google frames them. For a local business the practical read is: add the structured data that describes what you genuinely are (your business, your services, your reviews), keep it matched to the visible page, and treat it as Search hygiene rather than an AI cheat code.

The AI surfaces in plain terms

Three terms come up repeatedly, so here they are without the jargon. AI Overviews are the summarised answers that appear on some results with links out to supporting pages. AI Mode is the more conversational surface for complex, multi-part questions. Both may use a "query fan-out" technique, which Google describes as issuing "multiple related searches across subtopics and data sources" to build a response.[2] If a single search used to take you three follow-up searches, fan-out does several of them at once, which is why more pages can be pulled in. We cover this mechanic in detail in query fan-out explained.

The third term is agents. Google's guide adds a forward-looking section describing them:

"AI agents are autonomous systems that can perform tasks on behalf of people, such as booking a reservation or comparing product specifications."[1]

For most small businesses that is a "watch this space" item today, not a to-do, but it is coming from Google's own roadmap rather than a rumour.

Three AI surfaces, one Search index underneath

AI Overviews

A summarised answer with links out to supporting pages

AI Mode

A conversational thread for complex, multi-part questions

Agents

Autonomous systems that complete a task, such as a booking

All three sit on Google's core Search ranking and quality systems
AI Overviews, AI Mode and agents are different surfaces on the same underlying Search index, not three separate ranking games. Source: Google Search Central, generative-AI optimisation guide.

Measure it in Search Console, not in a third-party "AI rank" tool

Google's guide is blunt about the tools that promise to show your "AI ranking":

"No third-party tool has access to our internal ranking or AI systems."[1]

It points owners instead to the Generative AI performance report in Search Console, which folds AI-feature appearances into your normal Search performance data. There is also a quiet note in the companion page that the clicks arriving via AI Overviews tend to be "higher quality (meaning, users are more likely to spend more time on the site)."[2] Treat any tool claiming an inside line to Google's AI as marketing, and check the free first-party report instead.

What this means for a local business

Here is the circulating advice set against Google's own guide, line for line.

The circulating "AEO hack"What Google's own guide says
Add an llms.txt file so the AI can read you"You don't need to create new machine readable files, AI text files, markup, or Markdown to appear in Google Search ... as Google Search itself doesn't use them."[1]
Chop every page into tiny "chunks" for AI"There's no requirement to break your content into tiny pieces for AI to better understand it."[1]
Rewrite your pages in a special "AI style""You don't need to write in a specific way just for generative AI search."[1]
Pile on schema.org markup to rank in AI"Structured data isn't required for generative AI search, and there's no special schema.org markup you need to add."[1]
Buy a tool that shows your "AI rank""No third-party tool has access to our internal ranking or AI systems."[1]

The pattern is clear: nearly every paid shortcut is on Google's ignore list, and the things that do move the outcome (useful content, a crawlable and well-structured site, current business details) are unglamorous and free. Google even reassures owners that "plenty of content thrives in Google Search (including generative AI experiences) without any overt SEO at all."[1]

A short self-check you can run today

You do not need a tool to sanity-check the basics. Open your own site and ask: can every important page be reached by a crawler, is the main content there as real text rather than locked inside a script, does each page say something a summary could not, and do your business details (hours, services, location) match everywhere they appear? If you want the platform's own version of these questions, Google's helpful-content page asks, among others, whether the content is "written or reviewed by an expert or enthusiast who demonstrably knows the topic well".[3] Those are the levers Google names. Everything else is noise.

Where a website check fits

The one thing an owner cannot easily eyeball is whether a machine can actually read the site cleanly: whether pages are crawlable, whether the main content is in text a parser can reach, whether the structured data matches the visible page, and whether the structure is clear enough to be understood. A free QBiz Leads AI visibility check scans your own website against exactly those machine-readiness signals and returns a plain pass or fail on each, so you can fix the foundations Google's guide says actually matter.

To be exact about what it does: the check reads your website, not the engines. It does not query ChatGPT, Gemini, Perplexity, or AI Overviews, and it does not tell you whether or how any AI names your business. It tells you whether your own pages are built so that Google's systems, and other machines, can find, read, and understand them. That is the part you control, and the part the guide keeps coming back to.

Get your AI Visibility audit →

Frequently asked questions

Is there a separate "AI SEO" I need to do for Google?

No. Google's own guide states that its generative AI features "are rooted in our core Search ranking and quality systems", and that "optimizing for generative AI search is optimizing for the search experience, and thus still SEO". The same foundations that earn ordinary Search visibility are what make a page eligible for AI Overviews and AI Mode.

Do I need an llms.txt file to appear in Google's AI features?

No. Google's guide says you "don't need to create new machine readable files, AI text files, markup, or Markdown to appear in Google Search (including its generative AI capabilities), as Google Search itself doesn't use them." Creating one will neither help nor harm your Google ranking.

Is structured data required to show up in AI Overviews or AI Mode?

No. Google states that "structured data isn't required for generative AI search, and there's no special schema.org markup you need to add." It still recommends keeping structured data because it helps a page qualify for rich results in ordinary Search, where Google's own case studies report higher click-through rates.

Can a third-party tool tell me my "AI ranking" on Google?

No. Google's guide is explicit that "no third-party tool has access to our internal ranking or AI systems." Google points owners to the Generative AI performance report in Search Console, which folds AI-feature appearances into your normal first-party Search data.

What single thing helps most with Google's AI features?

Unique, useful content. Google's guide says creating content people "find unique, compelling, and useful will likely influence your website's presence in generative AI search in the long run more than any of the other suggestions in this guide." For a local business, writing from real first-hand experience of the work is the optimisation that carries furthest.

Sources

  • [1] Google Search Central, "Optimizing your website for generative AI features on Google Search" (guide to AI Overviews and AI Mode), last updated 2026. Quotes used: "In short, yes! The best practices for SEO continue to be relevant because our generative AI features on Google Search are rooted in our core Search ranking and quality systems"; "From Google Search's perspective, optimizing for generative AI search is optimizing for the search experience, and thus still SEO"; "Creating content that people find unique, compelling, and useful will likely influence your website's presence in generative AI search in the long run more than any of the other suggestions in this guide"; the four Mythbusting lines; "No third-party tool has access to our internal ranking or AI systems"; "AI agents are autonomous systems that can perform tasks on behalf of people, such as booking a reservation or comparing product specifications"; "plenty of content thrives in Google Search (including generative AI experiences) without any overt SEO at all". URL: https://developers.google.com/search/docs/fundamentals/ai-optimization-guide
  • [2] Google Search Central, "AI features and your website". Quotes used: "There are no additional technical requirements"; "While specific optimization isn't required for AI Overviews and AI Mode, all existing SEO fundamentals continue to be worthwhile"; query fan-out "multiple related searches across subtopics and data sources"; AI-Overview clicks are "higher quality (meaning, users are more likely to spend more time on the site)". URL: https://developers.google.com/search/docs/appearance/ai-features
  • [3] Google Search Central, "Creating helpful, reliable, people-first content". Quotes used: "People-first content means content that's created primarily for people, and not to manipulate search engine rankings"; "written or reviewed by an expert or enthusiast who demonstrably knows the topic well". URL: https://developers.google.com/search/docs/fundamentals/creating-helpful-content
  • [4] Google Search Central, "Intro to how structured data markup works" (case studies: Nestlé, Rotten Tomatoes, The Food Network). Quotes used: "pages that show as rich results in search have an 82% higher click through rate than non-rich result pages"; "added structured data to 100,000 unique pages and measured a 25% higher click-through rate for pages enhanced with structured data, compared to pages without structured data"; "has converted 80% of their pages to enable search features, and has seen a 35% increase in visits". URL: https://developers.google.com/search/docs/appearance/structured-data/intro-structured-data

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