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Answer engine optimisation best practices, in priority order

Nearly every best-practice list in this category is a flat list of twenty items. That is the problem with it. Two of those items decide most of your result and the other eighteen are rounding, and a list that presents them as equals will send you to spend three months on the rounding.

AEO best practice, ordered by weight: 1. Let the crawlers in. Blocked access is a zero, and no other work counts until it is fixed. 2. Be quotable. A clean, direct answer near the top of the page, in the words buyers actually use. 3. Be verifiable. Consistent identity, Organization schema, llms.txt, so engines can confirm who you are. 4. Be mentioned elsewhere. Roughly 85% of cited sources are third-party pages, which makes this worth more than everything above it combined and it is also the slowest. 5. Re-measure. Monthly, or you are guessing.

Why the order is the practice

These items are not independent. They are a sequence with hard dependencies, and treating them as a checklist to work through in any order is how people spend a quarter on schema markup while a firewall quietly returns 403 to every AI crawler.

That is not a hypothetical. It is what happened to us. Our own site scored zero because bot protection we never consciously switched on was blocking every AI crawler at the door. Every piece of content work we had done up to that point was worth exactly nothing, and no amount of additional content would have changed it.

1. Let the crawlers in

Request your homepage with the user agents GPTBot, ClaudeBot, PerplexityBot and ChatGPT-User and confirm each returns a 200. Then read your robots.txt for Disallow rules under those agents, and check your CDN or firewall for a managed AI bot rule.

This is a binary. There is no partial credit and no clever content that routes around it. It is also the practice most often failed by exactly the businesses who think they are ahead, because the blocking usually arrives as a security default rather than a decision anyone made.

The full method, with the commands, is at are AI crawlers blocked on your site.

2. Be quotable

Engines lift statements. They do not lift atmosphere, and they do not reward the slow build-up that works on a human reader.

More on this at writing content AI will quote.

3. Be verifiable

Engines cross-check facts before repeating them, and a fact they cannot confirm tends to get dropped rather than guessed. That makes consistency a ranking input in a way it never quite was for traditional SEO.

Detail at schema for AI search.

4. Be mentioned somewhere engines already cite

This is the one that matters most and the one almost every best-practice list under-weights, because it is the only item that cannot be completed in an afternoon.

Roughly 85% of the sources AI engines cite are third-party pages: roundups, directories, review sites, trade press, communities. Your own site sets your ceiling. Other people's pages decide where you sit under it.

The practical version: ask an engine the main buying question in your category, open every source it cites, and search each one for your name. The pages that come back are your actual target list, and they are specific rather than generic. Getting into three of them will move your number further than another twenty pages on your own site.

Method at how to get mentioned in AI answers.

5. Re-measure on a schedule

Answers move as models update and as competitors publish. A number from March tells you very little in July, and the failure mode is not that you get the wrong answer, it is that you stop having one and do not notice.

Monthly is enough. Measure the same questions each time so the series means something, and record the date next to the score.

Practices worth skipping

A short list of things that circulate as AEO advice and do not hold up.

Questions, answered

What are the best practices for answer engine optimisation?

In priority order: make sure AI crawlers are not blocked, put a direct quotable answer near the top of each page in the words buyers actually use, make your identity verifiable through consistent naming and Organization schema, earn mentions on third-party pages that engines already cite, and re-measure monthly. The order matters more than the list, because blocked crawler access makes every other item worth nothing.

What is the difference between AEO and GEO best practices?

In practice very little. Answer engine optimisation and generative engine optimisation describe the same work under two names: making a business findable, readable, verifiable and quotable to systems that answer questions rather than list links. Some people use GEO for generative answers specifically and AEO for direct answers including featured snippets, but no meaningful split has emerged in the actual practices.

How long does answer engine optimisation take to work?

The on-site half can be done in days and shows up immediately in readiness checks. The off-site half, which carries most of the weight, runs in months rather than weeks because it depends on other people publishing. Expect readiness to move quickly and outcome to lag well behind it. Our own site went to a perfect readiness score while our outcome score stayed at zero, which is the normal shape.

Does schema markup help with AI search?

It helps with the verification half, which is real but smaller than most guides suggest. Organization and FAQPage markup let an engine confirm facts about you in a format it trusts, and facts an engine cannot confirm tend to be dropped from answers. It will not make an engine recommend you, and it does nothing at all if crawlers are being blocked before they reach the markup.

Is AEO just SEO with a new name?

No, and the evidence is straightforward. We measured 42 well-known sites on both. The average technical SEO score was 80 and the average AI visibility score was 51. Canva had the worst technical score in the set and was named in 6 of 6 buying questions, while GoCardless scored 90 and was named in none. If they were the same measurement, that pair could not exist. [Figure withdrawn 26 Aug 2026 pending re-measurement, why.]

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