What Is AEO? Answer Engine Optimisation Explained

AEO, short for answer engine optimisation, is the practice of making your content easy for answer engines to find, understand and quote. An answer engine is any system that replies to a question with an answer rather than a list of links: featured snippets, voice assistants, Google AI Overviews and AI Mode, ChatGPT search, Perplexity and Copilot. In practice AEO is part of SEO, not a separate discipline. Be indexed, let the right crawlers in, and answer real questions plainly and specifically. No special markup is required.

That last sentence corrects an earlier version of this page, which said FAQ schema dramatically improved your chances of appearing in AI Overviews. It does not, and the section on FAQ schema below explains what changed. For the whole picture of AI search, start with the AI search optimisation guide; this page is the definition.

What is an answer engine?

A search engine returns options. An answer engine returns a reply. The distinction matters because the reply is built from someone's content, and AEO is about that content being yours.

Answer engines have arrived in three waves, and each one changed how the answer is put together:

The third wave is why the term came back into fashion. A language model does not copy one passage; it searches, reads a handful of pages and writes something new from them. Your page can be one of several sources behind an answer: cited prominently, cited in passing, or used without a visible credit.

Where the term AEO came from

AEO is industry vocabulary, not a Google product or a standard. It grew out of featured-snippet and voice-search work, when people noticed that winning the one answer at the top of the page mattered more than ranking third in the list below it. When AI answers arrived the label was reused, and it now sits alongside GEO (generative engine optimisation), LLMO and 'AI SEO' as overlapping names for similar work.

Google does not treat any of them as a separate discipline. Its guide to optimising for generative AI features says, in effect, that optimising for its AI search features is still SEO. That is the most useful single fact about AEO, because it tells you where the budget should go.

What answer engine optimisation actually involves

Strip away the branding and AEO comes down to three questions about any page you want quoted.

1. Can the answer engine reach it? The page has to be indexed. Google's AI features documentation says a page must be indexed and eligible to show a snippet in normal Search to appear in AI Overviews or AI Mode, and lists no other requirement. ChatGPT, Perplexity and Claude run their own search crawlers, and blocking them in robots.txt removes you from their answers. How to get your business cited by ChatGPT and Perplexity covers which bot is which.
2. Can it tell what the page is about and who is behind it? One clear subject per page, and consistent facts about your business across your site, your Business Profile and directories. Entity SEO and the Knowledge Graph covers the second half.
3. Is there something worth quoting? A direct, specific answer — a price range, a rule, a step, a figure with its source — rather than 'it depends on several factors'. If ten pages say the same generic thing, an answer engine has no reason to choose yours.

The formatting side of point three, such as answer-first sections, headings and tables, has its own guide: how to structure content for AI answers. The short version is that it is the same structure that helps a person skim.

What AEO is not

• Not a separate algorithm to game. Google's AI answers draw on its normal index. There is no AEO ranking system sitting beside the SEO one.
• Not a markup trick. Google says no special structured data, files or schema are needed for its AI features.
• Not a rewrite of every page into questions and answers. Google's guide says its systems understand pages that cover several sub-topics, and that you do not need to break content into small chunks.
• Not something anyone can guarantee. No answer engine offers a way to request or pay for an organic citation, and answers vary between searches and between users.

The FAQ schema claim, corrected

The earlier version of this article advised adding FAQPage schema because it made selection for AI Overviews much more likely. That advice was never supported by anything Google published, and it is now plainly out of date.

At the time of writing (October 2026):

• Google stopped showing FAQ rich results in Search in May 2026, as recorded in its Search Central documentation updates.
• Google's AI features documentation says no special markup is needed to appear in AI Overviews or AI Mode.

What to do with existing FAQ markup: nothing urgent. FAQPage is still a valid Schema.org type, and markup that matches questions visible on the page is harmless. Do not add it expecting a visual change in Google or a route into AI answers, and never mark up questions that are not on the page. Schema markup: a practical guide covers which types are still worth having.

The idea behind the old advice was sound: write clear answers to real questions. The mistake was believing the markup around the answer mattered more than the answer.

AEO, GEO and SEO: how the labels relate

Think of SEO as the whole job of being found in search. AEO is the part concerned with being the quoted answer. GEO is a research term for being cited by generative systems in particular, and what generative engine optimisation is explains the paper behind it. The overlap between all three is large. If you want the specific differences between answer-engine work and ordinary SEO, AEO vs SEO: what actually changes sets them out, so I will not repeat them here.

Who should care about AEO?

It depends on how your customers search, and on what kind of question you would be answering.

Answer engines are best at questions with a settled answer: definitions, simple how-tos, quick facts. Those questions are often resolved without a click. They are also where your page is most interchangeable with everyone else's.

They are less able to replace pages that help someone make a decision: what something will cost in their situation, which option suits them, whether a problem is worth fixing. Those questions get summarised too, but people still click through to check. That is where a specific, honest page from a real business has an edge, and where a citation is more likely to turn into an enquiry.

So the practical AEO question for a small business is not 'how do I appear in every AI answer?' It is 'which questions are my customers asking that only I can answer well?'

A worked example: choosing which questions to answer

Say a garden-design business in Kent lists the questions customers ask on first calls. A rough sort of four of them might look like this:

The first question will be answered by an AI summary drawn from dozens of near-identical pages, so competing for it is low value. The third belongs to an official source, and the honest move is to link to it. The second and fourth are where the business has information nobody else has, and that is where AEO effort pays: a page that states the answer near the top, gives real figures, and explains what changes them.

The business is hypothetical, but this is the exercise I would run with any client before writing a word.

How to tell whether AEO is working

Measurement is partial. Search Console's generative AI report shows impressions in Google's AI features by page, Bing Webmaster Tools reports citations in Copilot, and GA4 shows referrals from AI products. Manual checks of your priority questions help, as long as you treat them as samples rather than scores. The AI search optimisation guide has a monthly routine that uses all of them.

Next step

Write down the ten questions your customers ask most often, and mark which ones your site answers clearly and specifically today. The gaps are your AEO plan. If you want that done alongside indexing and technical checks, the SEO service treats AEO as part of the same job, because it is.