Ask ChatGPT to recommend an accountant in your town. Ask Perplexity which tool is best for a small agency. Type a question into Google and read the AI summary that now sits above the actual results. In every one of those moments, a handful of businesses get named and everyone else is invisible. Generative engine optimisation — GEO — is the work of making sure you are one of the ones that gets named.

It is the newest acronym in a field that already has too many, and a lot of what is written about it is overcomplicated nonsense designed to sell you something. So here is the plain version: what GEO actually is, how it differs from SEO, and what you can do about it without losing your mind.

What GEO actually means

Generative engine optimisation is the practice of shaping your online presence so that generative AI systems — ChatGPT, Google's AI Overviews, Gemini, Perplexity, Copilot and the rest — understand who you are, trust what you say, and mention you when they answer a relevant question.

Traditional search points people at a list of links and lets them choose. Generative engines do the choosing. They read across many sources, synthesise an answer, and present it directly. The prize is no longer just a high ranking — it is being one of the sources the machine draws from when it writes that answer. GEO is how you earn that.

GEO vs SEO: same roots, different game

If you already do SEO properly, you have a head start, because the foundations overlap. Both reward genuinely useful content, a fast and crawlable website, and real authority. Neither rewards keyword-stuffed filler or cheap tricks.

What changes is the goal. With SEO you are optimising for a position in a list and a click that follows. With GEO, the click might never happen — the answer is delivered in the chat or the overview itself. You are optimising to be cited and mentioned, not ranked. That shifts what matters: clear, factual, extractable statements; consistent information about your business across the whole web; and corroboration from sources the models already trust. Raw backlinks still help, but being talked about — accurately and in the right places — matters more.

The honest framing: GEO is not a replacement for SEO, and anyone telling you to abandon search to chase AI is getting ahead of the data. For most businesses, the queries that actually lead to money are still dominated by traditional results. GEO is an additional front door, not a new house.

How AI engines decide who to cite

Nobody outside the model makers has the exact recipe, but the signals are not mysterious. Generative engines tend to pull from content that is clear, factual and easy to extract; that comes from a recognisable, consistent entity; and that is corroborated elsewhere. In practice, a few things move the needle.

It helps to picture how these systems work. Many of them do not answer purely from memory — they look things up. When you ask a question, the engine runs its own search, pulls in the most relevant and trustworthy passages it can find, and writes an answer grounded in them. People call this retrieval-augmented generation, but the practical takeaway is simple: if your content is the clearest, most credible passage on the topic, it gets pulled into the answer. A great deal of GEO is just about being that passage.

Clarity and structure. Models favour content that states an answer plainly and then supports it. A page that opens with a direct, quotable sentence is far easier to lift than one that buries the point in paragraph six.

Entity consistency. The machine needs to be confident about who you are. If your business name, location and description are consistent across your site, your Google Business Profile, directories and social profiles, you become a clear entity it can reason about. If they conflict, you are noise.

Corroboration and authority. One page claiming you are the best accountant in Oxford means little. Several credible, independent sources mentioning you in that context means a lot. This is the GEO equivalent of link building, and it leans heavily on digital PR and genuine reputation.

Technical readability. If your content only appears after heavy JavaScript runs, or your site is slow and messy, you make the machine's job harder. Clean, crawlable HTML and solid technical SEO are table stakes.

What you can actually do about it

Here is the practical work, in rough order of impact for a typical small business.

1. Answer the real question, early. For every page, work out the actual question a person is asking and answer it in the first sentence or two. Then expand. This inverted-pyramid style is how journalists write, and it happens to be exactly what generative engines find easiest to quote.

2. Structure for extraction. Use headings that mirror real questions. Keep paragraphs short. Use lists and tables where they fit. Define your terms. A well-structured page is easier for a human to skim and easier for a model to lift — the same formatting helps both.

3. Strengthen your entity. Make your business unmistakable. A clear about page that states who you are, where you are and what you do. Consistent details everywhere they appear. Sensible structured data — Organization or LocalBusiness, Person for the people behind it, FAQ where it fits. This is quiet, unglamorous work that pays off across search and AI alike.

4. Build corroboration. Get mentioned, accurately, on sources the models already trust: industry directories, local press, reputable blogs, professional profiles. Original research and genuinely useful guides earn these mentions naturally. This is the part most businesses skip, which is exactly why it works.

5. Keep the plumbing clean. Fast, crawlable, well-built pages. Do not hide your content behind scripts the crawlers cannot read. Make sure your most important answers are in the HTML, not assembled on the fly.

6. Be genuinely expert. Name your authors. Show real experience. First-hand knowledge, clearly attributed, is harder to fake and increasingly rewarded. Experience, expertise, authority and trust matter more in an AI world, not less.

What "extractable" actually looks like

A quick example, because this is the bit people find abstract. Imagine two ways of writing the same thing on a page about boiler servicing.

The first: "We've been doing this a long time and there are lots of factors that go into how often you should really be thinking about getting things looked at, so honestly it varies quite a bit depending on your circumstances." That says almost nothing a machine — or a hurried human — can use.

The second: "Most gas boilers should be serviced once a year. Annual servicing keeps the manufacturer's warranty valid and catches small faults before they turn into expensive failures." That is clean, factual and quotable. If a generative engine is summarising boiler servicing advice, the second version is the one it can lift and attribute. Write the second kind, on every page, and you have done most of the hard part already.

AIO, AEO, GEO — do the labels matter?

You will see several acronyms thrown around. AI Overview optimisation (AIO) refers specifically to Google's AI Overviews. Answer engine optimisation (AEO) is about answer boxes and direct responses generally. GEO is the broad umbrella covering all generative engines. They overlap so heavily that arguing about the boundaries is a waste of time. Do the underlying work well and you are covered regardless of which acronym wins.

How to tell if it is working

Measurement is the genuinely hard part, because there is no neat ranking report. A few practical approaches help. Ask the engines directly: prompt ChatGPT, Perplexity and Gemini with the questions your customers actually ask, and see whether you appear. Watch your analytics for referral traffic from AI tools, which is small today but growing. Monitor brand mentions across the web. And keep an eye on the AI Overviews that show for your key queries. The tooling here is young and improving quickly — expect it to get easier over the next year.

Set a simple baseline now. Write down the ten questions a good customer might ask before hiring you, run each one through the main AI tools, and record whether and how you show up. Repeat it every couple of months. It is rough and manual, but it is real data, and it beats guessing. As dedicated AI-visibility tools mature you can layer them on top — but the prompt-and-check habit costs nothing and tells you most of what you need to know.

The mistakes that keep you out of AI answers

A few patterns reliably keep businesses out of generative answers. Hiding the actual answer behind waffle and brand throat-clearing, so there is nothing clean to quote. Inconsistent business details scattered across the web, so the engine cannot work out who you are. Thin, AI-generated content published with no human expertise behind it — the models are increasingly good at spotting and discounting their own output. And relying on pages that only render after heavy JavaScript, so the crawler arrives to find an empty shell.

None of these are hard to fix. They are mostly the result of writing for an imagined algorithm instead of writing clearly for a reader. The quiet irony of GEO is that the more plainly and honestly you write for humans, the better the machines understand you too.

Do you actually need GEO yet?

It depends on your audience, and I would rather tell you that than sell you a service you do not need. If your customers are the sort of people who research with AI tools — B2B buyers, tech-literate users, younger demographics — then yes, start building now while most of your competitors are asleep on it. If your customers still go straight to Google and the local map pack, get your SEO and local foundations solid first.

The reassuring part: the groundwork for GEO is the same work that improves everything else. Clear content, a strong entity, clean structure and a good reputation help your rankings, your conversions and your AI visibility at once. There is no version of this where doing it well is wasted effort.

The bottom line

GEO is not a dark art and it is not a reason to panic. It is the logical extension of doing the fundamentals properly, pointed at a new set of front doors. Get the basics right, structure your expertise so machines can read it, and make sure the rest of the web backs up who you say you are. Do that, and you will show up — in search results, in AI Overviews, and in the answers your future customers are already asking a chatbot for.

If you want a hand working out where your business stands and what to prioritise, that is exactly what generative engine optimisation is for.

GEO: the questions I get asked most

Is GEO different from SEO?

Yes, though they share the same foundations. SEO optimises for a position in search results and the click that follows. GEO optimises to be cited and mentioned inside an AI-generated answer, where the click may never happen. Strong SEO gives you a head start, but it is not enough on its own.

Will AI search replace Google?

Not wholesale, and not soon. AI Overviews and chat tools are taking a real share of informational queries, but the high-intent searches that lead to enquiries and sales are still dominated by traditional results. The sensible move is to optimise for both rather than betting everything on one.

How long does GEO take to work?

There is no fixed timeline, because the engines update constantly and there is no ranking to track. In practice, the groundwork — clear content, a consistent entity, schema and corroboration — is the same work that improves your SEO, so you tend to see benefits across the board over a few months rather than overnight.

Do I need GEO if I am a local business?

If your customers research with AI tools, yes. If they still go straight to Google and the map pack, get your SEO and local SEO solid first. Either way the underlying work overlaps, so nothing you do for GEO is wasted on your wider visibility.