What is GEO? Generative Engine Optimization, explained

I'll be upfront: I was sceptical of GEO for a long time. It seemed like every agency that had run out of SEO retainers suddenly discovered a new acronym to sell. Then one of our sites started pulling roughly 30% of its traffic from AI search without us doing anything deliberate — and I had to eat my words.

So let's do this properly, without the breathless agency pitch.

The one-sentence version

GEO — Generative Engine Optimization — is the work of getting your brand to show up in the answers that generative AI tools write. Not the blue links. The answer itself.

When someone asks ChatGPT “what's the best project management tool for a small agency?”, the model writes a paragraph and names a few products. GEO is the discipline of making sure one of those products is yours.

Why this is different from SEO

Classic SEO optimises for a ranked list of links. You want position one, you get the click. The model is simple — there's a page, it ranks, people click it.

Generative engines don't work like that. They read across dozens of sources, synthesise an answer, and cite a handful. You're no longer competing for a rank — you're competing to be one of the sources the model trusts enough to paraphrase. Often there's no click at all. The user gets their answer and moves on.

That sounds like a problem. Sometimes it is. But being named as the recommended option in an answer that reaches thousands of people is worth a great deal, even when nobody clicks through that minute.

The engines that matter

“AI search” isn't one place. It's at least six, and they behave differently. ChatGPT, Google's AI Overviews, Perplexity, Gemini, Microsoft Copilot and Claude all answer the same question in their own way, drawing on different sources. A tool that gets you cited in Perplexity might be invisible in Google's AI Overviews.

This is the bit most people underestimate — coverage is fragmented, and very few tools genuinely watch every engine that matters. We track exactly who covers what in the live ranking.

What GEO work actually involves

Strip away the jargon and there are only two jobs. Monitoring whether you appear — for a set of prompts that matter to your business, across the engines your buyers actually use. And improving it — editing content, earning citations, restructuring pages so a model can lift a clean answer from them.

That's it. Every tool in this space is some combination of those two things, dressed up in its own vocabulary of “visibility scores” and “prompt query volumes.”

How a model decides who to cite

Nobody outside the labs has the exact recipe, but the pattern is consistent enough to act on. Generative engines favour sources that are clearly relevant to the question, structurally easy to extract a clean answer from, and backed by signals that the source is trustworthy — links, mentions, consistency across the web.

In plain terms: if your page answers the question directly, near the top, and other reputable places already talk about you, you're in the running. If a model has to wade through 800 words of preamble to find your point, it'll quietly pick someone clearer.

This is why the single highest-leverage GEO edit is usually unglamorous — rewriting the first 40–60 words of a page into a self-contained answer a model can lift without effort.

What actually moves the needle

Most of the wins are boring, which is good news, because boring is repeatable. Answer the real question early and plainly. Keep your facts current and specific — models reward pages that read like a confident, checkable source. Earn mentions from places the engines already trust, rather than spraying low-quality citations everywhere.

And measure before you meddle. Half the time you're already cited somewhere and didn't know it; the other half you're absent and assumed otherwise. Either way the number tells you where to spend.

The mistakes worth avoiding

A few traps come up again and again. Publishing twenty thin new pages when the fix was sharpening the three you already have. Chasing every engine when your buyers only use two. And treating a vendor's invented “visibility score” as gospel — it's fine as a trend line for yourself, useless as an absolute or a comparison across tools.

Is it worth your time yet?

Honest answer — it depends on where your audience already is. If a meaningful slice of your traffic or buyers are starting their research in ChatGPT or Perplexity, then yes, you should at least be measuring it. If they aren't, you can wait, and you won't have missed much.

The cheapest way to find out is to check your own analytics for referrals from AI tools, then run 20-odd real buying prompts through the major engines and see whether you appear. You don't need a $400/mo platform to answer the first question. You probably do once you're trying to fix it at scale.

When you get to that point, the ranking is built to narrow the shortlist in a few minutes, and the GEO vs AEO vs SEO guide untangles the acronyms.