What is AEO? AEO, or answer engine optimisation, is the work of making your pages easy for answer engines such as Google AI Overviews, ChatGPT and Perplexity to find, read and quote. It is not a separate discipline with its own tricks. Google says optimising for its AI features is still SEO, so AEO means sound SEO plus answers written to be lifted.
What is AEO, and what does it stand for?
AEO stands for answer engine optimisation (answer engine optimization in American spelling). It describes optimising a site for search surfaces that give the reader an answer directly, rather than only a list of blue links.
The term is common enough that Google now addresses it by name. Its guide to optimising for generative AI features in Google Search states that “AEO” stands for answer engine optimisation and “GEO” for generative engine optimisation.
An answer engine, in this sense, is any surface that composes a response and points to the pages it drew from: AI Overviews and AI Mode in Google, featured snippets and People Also Ask boxes, and chat assistants such as ChatGPT, Perplexity and Claude. Your page earns attention by being the source the answer cites.
Is answer engine optimization different from SEO?
Not in Google’s view. Google’s AI optimisation guide says that from Google Search’s perspective, optimising for generative AI search is optimising for the search experience, and thus still SEO.
The reason is mechanical. The same guide explains that Google’s generative AI features are rooted in its core Search ranking and quality systems, and describes a technique it calls grounding: relying on those core ranking systems to retrieve relevant, up-to-date pages from the Search index. If a page is not in the index, or ranks poorly for the underlying query, the AI layer has nothing of yours to retrieve.
Google’s page on AI features and your website is just as direct. It says the best practices for SEO remain relevant for AI Overviews and AI Mode, and that there are no additional requirements to appear in them, nor other special optimisations necessary.
So AEO is best defined as SEO with the answer surface in mind, which steers budget towards crawlability, indexing and clear writing rather than AI shortcuts. We set out the overlap in detail in AEO vs SEO: do you need both?
How does AEO work on Google?
On Google, AEO works through ordinary eligibility: a page must be indexed and eligible to appear with a snippet before it can be a supporting link in an AI answer.
The AI features page sets this out. To be eligible as a supporting link in AI Overviews or AI Mode, a page must be indexed and eligible to be shown in Google Search with a snippet, fulfilling the Search technical requirements, and there are no additional technical requirements. The AI guide adds one administrative condition: a site must be included in Search generative AI features in Search Console.
Two further details from the AI features page matter for AEO SEO planning:
- Query fan-out. AI Overviews and AI Mode may issue multiple related searches across subtopics and data sources to build a response. A page that answers the related sub-questions around a topic, not only the headline question, gives those searches more to retrieve.
- Access beyond robots.txt. Google lists ensuring that crawling is allowed in robots.txt, and by any CDN or hosting infrastructure. A firewall or CDN rule can block a crawler that your robots.txt welcomes.
- Measurement. Sites appearing in AI Overviews and AI Mode are included in the overall search traffic in Search Console, so there is no separate AI report to wait for.
Featured snippets are the older answer surface and work the same way. Google’s featured snippets documentation says you can’t mark a page as a featured snippet: its systems decide whether a page would make a good one for a search and, if so, elevate it. AEO improves your candidacy. It never guarantees selection.
What AEO is not: claims compared with Google’s guidance
Much of what is sold as AEO is extra files and markup. Google’s own pages are explicit about what its search features need and do not need.
| Common AEO claim | What Google’s documentation says | Our practical take |
|---|---|---|
| You need an llms.txt file to appear in AI answers | Google Search ignores llms.txt; creating one will neither harm nor help visibility in Google Search | Optional, for other services that read it; never a priority over indexing |
| You need special AI schema | Structured data isn’t required for generative AI search, and there is no special schema.org markup to add | Keep structured data for rich result eligibility, not as an AI switch |
| You need new machine-readable files or Markdown copies | You don’t need new machine readable files, AI text files, markup or Markdown to appear in Google Search | Spend the effort on the pages people actually read |
| AEO means writing to a set length | Google says it has no preferred word count | Write until the question is answered, then stop |
| You can opt in to featured snippets | You can’t; Google’s systems decide. You can only block snippets with nosnippet or data-nosnippet | Check no stray nosnippet rule hides the passage you want shown |
The word count point comes from Google’s guidance on helpful, reliable, people-first content, which asks whether you are writing to a particular word count because you have heard Google has a preferred one, and answers: no, it doesn’t. The same page says SEO can be helpful when applied to people-first content, rather than search engine-first content. That is the honest centre of answer engine optimisation.
What is AEO in practice, on the page?
In practice, AEO is a set of writing and structure habits that let a single passage answer a question without the rest of the page. This is the checklist we apply when optimising a page for answer engines:
- Each H2 is a question a reader would actually type, in their words.
- The first one or two sentences under each H2 answer it directly, before context or caveats.
- Each passage names its subject instead of relying on “it” or “this” from earlier paragraphs.
- Comparisons sit in tables and procedures in numbered lists, so the structure survives extraction.
- The page has exactly one H1 that says what the page is about.
- An FAQ answers the follow-up questions, with any FAQ markup matching the visible text word for word.
- Author, date and sources are visible.
The last point connects to Google’s helpful content guidance, which describes experience, expertise, authoritativeness and trustworthiness, or E-E-A-T, and says that of these, trust is most important. It also asks whether content that draws on other sources adds substantial value and originality rather than simply rewriting them. Your own data or worked example gives an answer engine a reason to cite you.
For how answer engines find and choose pages in the first place, see our guide to answer engines.
What we have seen: a firewall rule that hid a site from answer engines
Our clearest AEO lesson came from access, not content: a security rule that stopped AI search crawlers at the door.
That was an SEO Autopilot engagement for a US healthcare analytics company on WordPress behind a firewall. The firewall returned 403 to OpenAI’s and Anthropic’s search crawlers on every page. The trigger was a generic bad-bot rule matching the substring “searchbot”. Eleven other crawlers passed. The client’s monitoring tool reported all sixteen AI crawlers as accessible, because it read robots rules instead of sending requests. We describe the diagnosis in how a firewall blocked AI crawlers.
The engagement covered more than that rule. On the same site, 21 of 39 pages had no H1 because the post template rendered the title as an H2, and schema was close to absent. Against a rubric frozen at the 15 July 2026 baseline, re-measured on 18-19 August 2026 by fetching all 39 sitemap URLs, AI Visibility went from 18.35 to 66.35 and SEO Health from 46.55 to 67.45. AI crawler access moved from 45 to 82 and schema and structured data from 5 to 78.
Not everything improved. Performance fell from 48 to 28, because removing the firewall rule took the CDN edge cache with it (median time-to-first-byte 0.42s to 2.39s), and AI review signals did not move, 18 to 18. A higher score means the groundwork is in place. It is not a promise of citations.
Where should you start with AEO?
Start with access and indexing, then rewrite the pages that already target real questions. In our experience that order gives the most return for the least spend:
- Confirm your important pages are indexed in Google Search Console and eligible to show with a snippet.
- Check that robots.txt, your firewall and your CDN all let the crawlers you want reach the site, by sending real requests rather than only reading rules.
- Fix template problems that blur what each page is about, such as missing or duplicate H1s.
- Rewrite headings on key pages as questions and move the answer to the first sentence or two.
- Add an FAQ for follow-up questions, with markup that matches the visible text.
- Add something only you can say: your data, your method, a worked example.
- Track search traffic in Search Console, which includes AI Overviews and AI Mode.
For a quick first signal on step two, the free AI visibility checker reads your robots.txt rules for 11 AI crawlers and requests your homepage once with each crawler’s user agent. That request is the checker’s own, not the real crawler’s, and it covers the homepage only, so treat a pass as a signal rather than proof. For a page-by-page review of both layers, our GEO and AEO audit looks at access, structure and content together. If you would rather have the work done every month, SEO Autopilot is ₹20,000 a month (about US$230) for one site, with no setup fee and no minimum term.
Frequently Asked Questions
What is AEO in simple terms?
AEO, or answer engine optimisation, is making your pages easy for answer engines such as Google AI Overviews, ChatGPT and Perplexity to find, read and quote. In practice it is sound SEO plus question-led, answer-first writing.
What is the difference between AEO and SEO?
Google says optimising for its generative AI features is optimising for the search experience, and thus still SEO. AEO is the part of SEO focused on answer surfaces: question headings, direct answers and passages that make sense on their own.
Do I need llms.txt for AEO?
Not for Google. Google’s AI guide says Google Search ignores llms.txt, and that creating one will neither harm nor help your visibility in Google Search. Other services may read it, so it is optional.
Is AEO the same as GEO?
They overlap. Google’s AI guide names both: AEO stands for answer engine optimisation and GEO for generative engine optimisation. Both describe optimising for AI-generated answers, and Google treats both as SEO.
How do I know if AEO is working?
Google includes traffic from AI Overviews and AI Mode in the overall search traffic in Search Console, so watch that report. Also check whether your key pages are indexed and whether answer engines cite them for your target questions.