Answer Engine Optimisation (AEO) is the practice of structuring your content, data and brand so that AI answer engines — Google AI Overviews, ChatGPT, Perplexity and Gemini — cite you as the answer to a user's question. Where SEO competes for a rank, AEO competes to be quoted.
For twenty years the deal was simple: rank on page one, earn the click, convert the visit. That deal is breaking. A growing share of searches now end with a synthesised answer on the results page or inside a chat interface, and the user never visits any website at all. The brands that still win are the ones inside the answer itself.
How is AEO different from SEO?
SEO optimises for a position in a list. AEO optimises for selection as a source. The practical difference: a page can rank third and still be the one an AI engine quotes, because the engine is choosing the passage it can extract and attribute most confidently — not the page with the most backlinks. Ranking still matters (AI engines lean heavily on their own search indexes), but it is the entry ticket, not the win.
What are the five levers that move citation rates?
- Answer-first structure — put a 40–60 word self-contained answer directly under the heading that asks the question. If an engine can lift one paragraph and be done, you are the path of least resistance.
- Entity clarity — one consistent organisation name, author, and schema graph everywhere, so the engine knows who is speaking and can attribute you without guessing.
- Machine-readable surfaces — JSON-LD that validates, a sitemap that matches reality, and content that renders without JavaScript. Engines cannot cite what they cannot parse.
- Provenance — named authors, dates, and sources for every specific claim. Engines preferentially cite content they can defend citing.
- Corroboration — other sites saying the same thing about you. AI engines cross-check; a claim only you make about yourself is weak evidence.
What should you measure if clicks keep falling?
Citation frequency, branded search volume, and pipeline quality. Citation frequency means running a fixed panel of your target queries through the major engines monthly and recording whether you are named. Branded search volume is the demand signal that citation creates downstream. And pipeline quality matters because AI-referred visitors arrive pre-convinced: they have already been told you are the answer.
The most common failure I see in audits is treating AEO as a schema plugin. Schema is table stakes. The sites that get cited are the ones willing to publish a clear, checkable answer — with a name and a date on it — while their competitors hedge.
Who should not prioritise AEO?
If your buyers do not research — if demand arrives through relationships, tenders, or footfall — AEO is a distraction from the channels that actually feed you. It is also the wrong priority if your technical foundations are broken: fix crawlability, indexation and site speed first, because no amount of answer-first copy compensates for a site engines cannot read.
How long does AEO take to work?
Expect the first citation movement in four to eight weeks on pages that already rank, because the structure is what was missing. New pages take longer — they need the ranking foundation first. The honest sequencing is: fix extractability on your ten best pages this month, measure citations monthly, and only then scale the pattern across the site. Teams that rebuild everything at once cannot tell what worked.
Entity clarity, extractable answers and corroboration — measured monthly.