SEO and AEO
What is AEO? Answer Engine Optimisation explained
Answer Engine Optimisation is about being understood, quoted and correctly attributed by systems that answer questions directly. Here is what it actually involves, and what no one can promise you.
Answer Engine Optimisation (AEO) is the practice of structuring your content and information so that systems which answer questions directly — AI assistants, search summaries, voice assistants and featured results — can find, understand, quote and correctly attribute what your business does. It overlaps heavily with SEO, but optimises for being understood rather than for placement in a list of links.
Why the question changed
For twenty years the search transaction was the same: you typed a query, you got ten links, you clicked one. Optimisation meant earning one of those positions.
A growing share of queries now end without a click. The answer appears in the result page, or an assistant summarises it, and the user never visits a website at all. That changes the useful question from can we rank for this to if a machine had to explain our business in three sentences, would it get it right.
Those are different problems. The first is about competing for a position. The second is about being unambiguous.
What AEO actually involves
Answering the question where it is asked
If a heading asks a question, the first two sentences beneath it should answer it. Not context, not a preamble about how important the topic is — the answer. Everything else can follow.
This is good writing anyway. It happens to also be the structure a retrieval system can extract cleanly.
Entity clarity
An answer engine needs to establish what kind of thing you are before it can say anything useful about you. That means unambiguous, consistent statements of who you are, where you are, what you do and who you serve — on your site, in your structured data, and across every profile that mentions you.
Inconsistency is the killer here. If your address is different on three platforms, or your company describes itself as a web agency in one place and a software company in another, a system weighing those signals has no confident answer to give.
Structured data that matches the page
Schema.org markup tells a machine what the content means rather than how it looks. Organization, LocalBusiness, Service, Product, FAQPage and Article are the types most businesses need.
One rule matters more than the rest: structured data must describe what the page visibly says. Markup claiming reviews that do not appear, or FAQs that are not on the page, is misleading structured data. It gets penalised, and it deserves to be.
Depth over coverage
One thorough page about a subject is worth more than eight thin pages targeting keyword variations. Thin pages were always a poor strategy for search; for answer engines they are actively counterproductive, because there is nothing substantial enough to quote.
First-hand evidence
The content most worth citing is the content nobody else can write: what you actually did, what went wrong, what it cost, what you would change. A summary of what is already on the web adds nothing a language model does not already have.
What AEO is not
It is worth being blunt about this, because a market is forming around the promise. There is no submission form for an AI index, no keyword you can place to trigger a recommendation, and no reliable way to inject a preference into a model.
What you can do is remove every reason for a system to get you wrong: be accurate, be consistent, be structured, and be genuinely worth citing.
The technical prerequisites people forget
Content an answer engine cannot retrieve does not exist as far as that engine is concerned. In practice that means:
- Content rendered server-side or statically, not assembled entirely in the browser
- Fast responses — retrieval systems have timeouts, and they are less patient than users
- Crawler access that is not blocked by aggressive bot protection
- Real semantic HTML: headings that are headings, lists that are lists
- Clean, stable URLs that do not change every time the CMS is updated
We have seen sites with excellent content that were effectively invisible because everything was rendered client-side behind a loading spinner. No amount of content strategy fixes that.
How to tell whether it is working
Measurement is genuinely harder than with SEO, and honest practitioners will admit it. There is no rank tracker for AI answers. What you can do:
- Ask the major assistants about your company and category regularly, and record what they say
- Watch for factual errors in how you are described — those are the fixable failures
- Track branded search volume, which tends to rise when a business becomes more citable
- Validate your structured data and keep it matching the visible page
- Monitor referral traffic from AI products where the platform exposes it
None of these is a clean conversion metric. Anyone presenting one should be asked how it was calculated.
Where to start
For most businesses the first move is not content at all. It is consistency: make sure your name, location, description and services say the same thing everywhere, and that your structured data agrees with your visible pages. That single pass fixes more machine-readability problems than any amount of new writing.
After that, write the pages only you can write.