Ask ChatGPT, Claude, Gemini or Perplexity to recommend “a good accountant in Galway” and you will not get a page of blue links. You get a short, confident answer with a handful of names in it. Answer engine optimisation, usually shortened to AEO, is the work of making sure your business is one of those names.
You will also hear the same work called GEO (generative engine optimisation) or simply AI visibility. The labels are still settling down, but the idea behind them is identical: AI assistants now answer buying questions directly, and the businesses that are easy for those tools to find, understand and cite get recommended more often than the ones that are not.
This guide explains the whole thing in plain English: what AEO actually means, how the assistants put their answers together, why being the cited answer is fast becoming the new being found, and what the work looks like in practice.
AEO in plain English
AEO is the practice of shaping your website, and your presence across the wider web, so that AI assistants can find accurate information about your business, understand exactly what you do and where you do it, and cite you when they answer a relevant question. That is the whole definition. There is no trick in it, no loophole and no secret prompt. It is closer to good communication than to clever engineering: say who you are clearly, say it consistently everywhere, and back it up with content that is genuinely worth quoting. An assistant cannot independently check whether you are any good; it can only weigh whether the signals around you agree, so consistency is what it reads as trust.
It sits beside classic SEO rather than replacing it. SEO earns you a position on a results page; AEO earns you a place inside an answer. Same family, different destination. We compare the two properly in GEO vs SEO: what’s the difference?, but the short version is that most of the work overlaps, and that is good news for anyone already doing SEO well.
How AI assistants actually build their answers
There are two ingredients. The first is training: each model has learned patterns from a huge slice of the public web, so well-established brands are already part of what it knows. The second is retrieval, and for buying questions it matters far more. When you ask an assistant for a recommendation, most of them cannot answer from memory, so they quietly run web searches of their own, often several at once, read a handful of pages they trust, and compose an answer from what they find, often crediting those pages as sources. Perplexity cites almost everything it uses. Gemini draws on Google’s own index. ChatGPT and Claude search the live web whenever a question needs fresh or local facts.
The practical point is this: the raw material for AI answers is still, mostly, ordinary web pages surfacing through ordinary search. Those searches return the same ranked results a person would see, so the businesses an assistant names are overwhelmingly the ones that already rank and that the wider web describes in a consistent way. If your site answers questions clearly, is technically sound and is spoken about well elsewhere, you are the raw material. If it does none of those things, the assistants will build their answers from your competitors instead.
Why the cited answer is the new being found
A results page has room for dozens of businesses. An AI answer typically names a few. That makes the gap between visible and invisible far sharper than it ever was in classic search: you are either in the answer or you do not exist for that buyer, because a growing share of buyers accept the recommendation and never see a results page at all. The decision happens before the click.
There is a compounding effect too. Assistants tend to keep drawing on sources that have already proved reliable, so the businesses being cited today are quietly becoming the default answers of next year. That is why AI visibility is worth measuring now rather than revisiting once the dust settles: the dust is not going to settle in a way that favours latecomers.
What the work involves in practice
Day to day, AEO is a handful of unglamorous, worthwhile jobs:
- Answer content: pages that answer your customers’ real questions in plain language, structured so an assistant can lift a passage and credit it accurately
- Entity clarity: your name, services and location described the same way on your site, your profiles, your directories and everywhere else you appear
- Schema markup: structured data that spells out who you are in a format machines can read without guessing, a core part of solid technical SEO
- Trusted mentions: coverage and links from sites the engines already rely on, earned through genuine link building and digital PR
- Measurement: asking each assistant the same set of market questions every month and recording who gets mentioned, who gets cited and how each business is described
None of it is exotic, and most of it strengthens your Google rankings at the same time, which is exactly why the two disciplines belong together rather than in separate budgets. If the measurement piece interests you, we have written a practical guide on how to track your AI visibility that you can run yourself with a spreadsheet.
What AEO cannot honestly promise
A word of caution before you talk to any agency about this, including us. Nobody can promise you a placement inside a ChatGPT or Gemini answer. The engines change constantly, their answers vary from one conversation to the next, and nobody outside those companies controls what they say. Anyone offering you a guaranteed spot in an AI answer is guessing, at best.
What can be done honestly is this: measure where you stand today, do the work that makes you easier to find and cite, and watch the trend month by month. Visibility in AI answers is measurable and improvable; it is just not something anyone can promise outright. That distinction is the difference between a serious service and a sales pitch, and it is worth keeping in mind whoever you talk to.
See where you stand today
If you are curious rather than convinced, start small. Our AI visibility checker is a free two-minute self-check against the signals that drive AI recommendations, with no email address required. When you want the real picture, the free SEO audit includes a genuine scan of how ChatGPT, Claude, Gemini and Perplexity answer questions about your market, alongside your rankings and site health. And if the findings deserve action, our AI visibility and GEO service does the work and reports the trend honestly, every month, in plain English.
