Answer engine optimization: what AEO is, and the method that works

Answer engine optimisation, or AEO, is the work of making your content the answer a system gives, rather than one of the links it offers. It is older than the current wave of assistants. The same discipline covered featured snippets, People Also Ask boxes and voice assistant replies years before ChatGPT existed, and it now covers generated answers too. That history is the useful part of the term: AEO treats every surface that returns an answer instead of a list as one problem, and gives you one method for all of them.

Where the term came from

AEO came out of the featured snippet era. Once Google started lifting a paragraph, a list or a table out of a page and showing it above the results, a specific craft appeared around winning that box: answer the question in about forty words, directly under a heading that matches the question, in the format the box uses. Voice assistants then raised the stakes, because a smart speaker reads one answer and there is no second position to fall back on.

Generative assistants did not replace that work. They added a second kind of answer surface on top of it. The vocabulary moved on, which is why you now also see GEO, generative engine optimisation, from the 2023 research paper of that name, and LLMO. We compare the labels in LLMO and how it relates to GEO, AEO and SEO.

The two kinds of answer surface

This is the distinction that changes your work, and it is not the distinction between the acronyms.

Extractive surfaces lift text out of one page and show it, usually with a link attached. Featured snippets, People Also Ask, and most voice answers work this way. One page wins, the wording is yours, and you can see exactly which page was used.

Generative surfaces read several pages and write new text that no single page contains. Google AI Overviews and AI Mode, ChatGPT, Claude, Gemini and Perplexity work this way. Several sources contribute, the wording is the model's, and being named depends on more than one page agreeing about you.

Surface	How the answer is built	What wins it	How you check
Featured snippet	Text lifted from one ranking page	A direct answer of about forty words under a matching heading, in the right format	Search Console position data, and the search itself
People Also Ask	Short extract per question	One page per sub question, each answered in its first lines	Expand the box and see whose page is used
Voice answer	Usually one extracted answer, read aloud	Plain sentences a reader can say out loud	Ask the device the question
Google AI Overviews and AI Mode	Generated from pages already in the Search index	Being indexed and snippet eligible, then being quotable	Run the query, record the supporting links
ChatGPT, Claude, Perplexity	Generated, sometimes from a live fetch, sometimes from training	Quotable pages plus independent sources that agree	A fixed prompt set, run repeatedly

AEO and SEO, side by side in practice

The technical base is the same. A page that cannot be crawled or indexed is out of both games. Google's documentation on AI features is blunt about it: to appear as a supporting link in AI Overviews or AI Mode, a page must be indexed and eligible to be shown in Search with a snippet, and there are no additional technical requirements. Ranking is still the entry ticket.

What changes is the target and the shape of the page.

• The unit is the answer, not the page. You are competing with a paragraph, so the paragraph has to stand on its own.
• Position ten counts for nothing. A list has ten slots. An answer has one, or names two or three businesses. Mid page rankings that used to earn traffic earn no mention.
• Withholding the answer backfires. Conventional copywriting builds to the point. An answer engine takes the first clear statement and moves on.
• One question per URL. Pages that cover nine questions win none of them cleanly.

The method

Six steps, in this order.

1. Build the question list. Write down every question a buyer asks before choosing, in their words. Pull more from People Also Ask, from your sales inbox, and from the chat log on your site. Thirty to fifty questions is a working list.

2. Check which surface each question lands on. Search it. Note whether you get a snippet, a People Also Ask box, an AI Overview, or just links. Ask the same question in ChatGPT and Perplexity. Now you know which questions are answer questions and which are still list questions.

3. Write one page per question, answer first. Title is the question. First paragraph is the answer in two or three sentences, with no preamble. The rest of the page is the evidence. The structure is set out in how to write a page an assistant will quote.

4. Match the format to the surface. If the snippet for that query is a numbered list, give the page a numbered list. If it is a table, give it a table. For generative surfaces, give each sub heading a self contained answer underneath, because the model lifts passages rather than pages.

5. Put a checkable fact in every answer. A count, a price with the date you checked it, a named source, a version number. Specifics are what a model can commit to repeating. "Comprehensive coverage" is a phrase no engine can use.

6. Get the same facts onto sites you do not own. Category directories, review platforms, trade press, comparison pages. Generative answers lean on corroboration, and a claim that exists only on your own domain has one source behind it.

Measuring AEO

Extractive and generative surfaces are measured differently, so keep them in separate columns.

• Extractive: Search Console gives you impressions, clicks and position. A snippet win usually shows up as a position near one with a click through rate that moves.
• Generative: there is no console. You ask a fixed prompt set across engines, several runs each, and record how often you are named and which sources were cited. Compare ranges across runs rather than single readings, and never name your own company in the prompt. The reporting format is in how to report AI search visibility.
• Referrals: visits arriving from assistant domains. Small numbers, usually better qualified, and almost never on anybody's dashboard.

AEO covers everything from a featured snippet to a generated paragraph, and the generated half is the part nobody has a report for. A snippet you can see in the results page. An answer assembled for one person, naming two or three companies, you cannot, unless you ask. AI Knows Us asks on your behalf across the assistants buyers actually use and records which companies came back.

This page defines AEO and gives the method. For the tool categories in this space, see AI visibility tools compared. For the overlap with ordinary search work, see GEO versus SEO.

Questions buyers ask about answer engine optimization

Is AEO the same as GEO?

They overlap almost completely in day to day work, and the deliverables an agency hands over are the same. The one real difference is scope: AEO as a term also covers the extractive answer surfaces, snippets, People Also Ask and voice, while GEO is specifically about generated answers.

Is AEO replacing SEO?

No. Crawlability, indexing and ranking still decide whether you are eligible for any answer surface at all, and Google says a page must be snippet eligible to be used in its AI features. AEO is the layer you add on top once that foundation is in place.

Do I need FAQ schema for AEO?

Structured data helps a system understand what a page is about, and Google asks that your markup match the visible text. Treat it as supporting work. The visible answer in the first paragraph is doing the heavy lifting, which is why a page with perfect markup and a vague opening still loses.

How long is the ideal answer?

Two to three sentences, or about forty to sixty words, then expand underneath. That length fits a snippet, reads well aloud, and gives a model a clean passage to quote.

Which questions should I start with?

The ones where a competitor is already named and you are not, and where the answer involves choosing a supplier. Those have the shortest path from mention to revenue.

What to do first

• Write down thirty buyer questions in your buyers' words, and mark which surface each one currently returns.
• Pick the five where you are not the answer and a competitor is. Write one page each, question as title, answer in the first paragraph.
• Add one checkable fact to each answer, with a date.
• Ask the same five questions in two assistants, without naming your company, and save the cited sources. Those sources are your third party target list.
• Diarise the same test monthly so you are always working from current answers.