Agent view — served from /aeo.md.
Guide · updated September 2026
Answer Engine Optimization (AEO) is the practice of structuring your website so AI systems can extract a clear, correct answer from it and cite you as the source. It matters because AI assistants increasingly answer your customers directly instead of sending them a list of links.
This page covers what AEO is, how it differs from GEO and SEO, what actually works, and what is being oversold. Written by the team that built the 55-check audit behind it.
AEO is making your content easy for a machine to lift a direct answer out of.
Traditional search wanted to rank your page in a list. An answer engine wants to read your page, pull out the specific fact somebody asked for, and present it — crediting you if it is confident, and using someone else if it is not. So the work shifts from earning a position to being the cleanest, most quotable source of a fact.
In practice that means leading with the answer instead of the preamble, writing sections that make sense on their own, being specific about names and numbers, and marking up your pages so the facts are machine-readable rather than implied.
Everything else on the average AEO checklist is either downstream of these five or unproven.
Terminology
For practical purposes AEO and GEO describe the same discipline. SEO is the foundation underneath both, not a competitor to them.
| Term | Stands for | What it emphasises | Do you need a separate strategy? |
|---|---|---|---|
| SEO | Search Engine Optimization | Being crawlable, indexable and ranked in traditional search results. | Yes — it is the base layer. AI engines draw on search indexes. |
| AEO | Answer Engine Optimization | Being extractable as a direct answer in AI Overviews, snippets and assistants. | Yes, but it is mostly structure and clarity work. |
| GEO | Generative Engine Optimization | Being selected and cited as a trusted source when an AI synthesises an answer. | No — in practice this is the same work as AEO. |
| LLMO / AIO / AI SEO | Various | Alternative names for the same activity. | No. |
It genuinely does not matter, and anyone insisting otherwise is selling a label. No consensus definition separating these terms exists, and practitioners use them interchangeably. AEO is the clearer phrase for a non-technical audience, because "answer engine" describes what the thing does. GEO collides with geography and geo-targeting, which makes it awkward to search for.
We use AEO in conversation and treat GEO as a synonym. The underlying work — being the trustworthy, extractable source an engine reaches for — does not change whichever label wins.
Google's own 2026 documentation states that optimising for generative AI search is optimising for the search experience, and is therefore still SEO. That is a useful corrective to vendors positioning AEO as an entirely separate discipline requiring entirely separate spend.
Our reading: the content work is largely continuous with good SEO. The part that is genuinely new is technical, and it is the part almost nobody audits — whether an AI agent can physically read and use your site.
Straight talk
This field is nine months old and full of confident claims. Four worth treating carefully, including one about a file we ourselves audit.
A Google Search Advocate has compared llms.txt to the old keywords meta tag and noted that no major AI service currently requests it. Other sources report crawlers fetching it frequently. Both cannot be right. Our position: it costs almost nothing to add and may pay off, so add it — but anyone selling it as the centrepiece of an AI strategy is overreaching, and we do not.
Google retired FAQ rich results in May 2026 and deprecated HowTo in 2023, and states that no special structured data is required for AI Overviews. Ship FAQPage markup anyway, because it is clean machine-readable structure — just not because somebody promised you a rich result.
A 2026 study of 1,885 pages found schema volume alone barely moved citation rates. What appears to matter more is schema accuracy — whether your structured data actually matches what the page displays. Contradictions there erode trust. Almost nobody checks for it.
Nobody can. There is no complete feed of AI answers, and Google AI Overviews has no API at all. What is possible is a defined query set, run on a schedule, against the engines that permit programmatic access. That is sampling, and it should be sold as sampling.
The missing half
Every AEO guide tells you how to write. Almost none check whether the AI can load your page in the first place.
Perfectly structured content is worthless if your pages are empty without JavaScript, if your hosting silently blocks AI crawlers, if your structured data contradicts your prices, or if your contact form cannot be completed by an assistant. These are not writing problems. They are engineering problems, and they are what we audit.
How the technical audit works→Your agency probably covers the top three. We cover the bottom five, and there are fifty more.
Eight technical checks, fifteen seconds, no email.