What Is GEO? Generative Engine Optimisation Explained

Someone asks ChatGPT to recommend an SEO consultant in Bedfordshire. It names three. You are not one of them. There is no results page to check, no position to report, and nothing in Search Console that explains it.

GEO, or generative engine optimisation, is the practice of making your business the source that AI tools quote when they answer a question. The goal is not a ranking. It is being the thing the model reaches for and names.

The term is new enough that people use it loosely, and plenty of what gets sold as GEO is ordinary SEO with a fresh invoice. Some of it genuinely is different though, and the difference is worth understanding before you spend anything on it.

What Does GEO Actually Mean?

Generative engine optimisation is the work of influencing what large language models say about you. That covers ChatGPT, Perplexity, Gemini, Claude, Microsoft Copilot and Google's AI Overviews sitting above the normal results.

You will see three acronyms used almost interchangeably, and they do mean slightly different things. GEO is the broad one. AEO, answer engine optimisation, is narrower and older, about winning direct answers. AIO, AI optimisation, usually means Google's AI Overviews specifically. In practice the work overlaps heavily, which is why I treat them as one service rather than three.

How Is GEO Different To SEO?

The honest answer is less different than the marketing suggests, and more different than sceptics claim.

Most AI tools do not answer purely from training data. They search the live web, read a handful of pages and write an answer from what they find. That process has a name, retrieval augmented generation, and it means the pages a model can find and read are mostly the pages that already rank. If you are invisible in search, you are usually invisible to the model too. Good technical SEO is the entry fee.

What changes is what happens after retrieval. A search engine sends a click. A model reads your page, decides whether anything in it is worth repeating, and either names you or does not. So the thing being optimised is not the click, it is whether a sentence of yours survives being summarised.

That makes three things matter more than they did:

• Clarity over cleverness. A model lifts a clean claim more reliably than a paragraph that takes four sentences to get going.
• Being a known entity. Models connect names to things they already have information about. A business that is clearly defined across its own schema and third-party sources is easier to name with confidence.
• Other people's pages. Ask any chatbot for the best anything and watch what it cites. It is usually a roundup, a review site or a forum thread, not the company's own homepage.

Where Do AI Answers Come From?

Roughly three places, and they pull in different directions.

Live retrieval. The model runs a search, reads the top results and summarises. This is the part SEO still controls, and the part that changes fastest.

Training data. What the model absorbed before it was released. You cannot edit this, and it is why models sometimes state things about your business that were true two years ago.

Grounding sources. Structured, high-trust references the model leans on for facts: Wikipedia, Wikidata, company registers, review platforms. This is where a lot of the stubborn wrong answers come from, and where fixing one record can fix the answer everywhere.

What Actually Influences Whether You Get Cited?

Nobody has a ranking factor list, and anyone who shows you one is guessing. What is observable, from watching a lot of answers, is that cited pages tend to share some traits.

They answer the question early rather than building up to it. They make specific, checkable claims instead of hedging. They are easy to parse, with headings that match the question being asked. They come from a site the model can place, usually one with consistent information about who is behind it. And the brand tends to appear on other sites covering the same topic.

None of that is exotic. It is closer to writing well and being genuinely known than to any technical trick, which is both reassuring and slightly annoying if you were hoping for a lever to pull. The practical detail sits in a separate piece on how to rank in ChatGPT and other AI chatbots.

How Do You Measure Something With No Rankings?

Badly, at the moment, and anyone claiming otherwise is overselling.

There is no Search Console for AI answers. What you can do is track a set of prompts a real customer might type, run them regularly across the main tools, and record whether you appear, whether you are cited with a link, and whether what is said about you is accurate. It is closer to brand monitoring than rank tracking.

Tools are appearing for this and some are decent. Treat their numbers as directional. Answers vary between users, sessions and locations, so a single check proves very little.

The other measurement worth having is referral traffic. Analytics will show sessions arriving from ChatGPT, Perplexity and the rest. The volumes are small for most businesses, but the intent is often high, because someone who clicks through from an answer has already been told you are a reasonable option.

Is GEO Worth Doing Yet?

It depends on how much of your market is asking a chatbot instead of searching.

For most UK small and medium businesses, Google still sends the overwhelming majority of qualified traffic, and that is where the budget should sit. GEO is not a replacement for SEO. Spending on it while your category pages are not indexed would be a strange set of priorities.

Where it does earn attention now is considered purchases with long research cycles, software and professional services especially, and anywhere a wrong AI answer about your business is actively costing you. That second one is more common than people expect, and it is usually fixable.

The sensible position is that this is early, the fundamentals overlap heavily with good SEO, and the specific work is cheap enough to be worth doing alongside rather than instead. That is how I run it as AI SEO services, and if you want the detail on the GEO side specifically there is a page on GEO consultancy.

If you want to know what AI tools currently say about your business, get in touch and I will run the prompts and tell you what comes back, accurate or not.

Frequently Asked Questions

What is GEO?

GEO, or generative engine optimisation, is the practice of making your business the source that AI tools such as ChatGPT, Perplexity, Gemini and Google AI Overviews quote when they answer a question. The goal is being cited and named inside the answer rather than ranked on a results page.

Is GEO different to SEO?

Less than the marketing suggests. Most AI tools retrieve live web pages and summarise them, so the pages a model can find are largely the pages that already rank, which makes technical SEO the entry fee. What differs is the emphasis on being quotable, being recognisable as an entity, and being mentioned on third-party pages, because a model reads and summarises rather than sending a click.

What is the difference between GEO, AEO and AIO?

GEO is the broad term for influencing what generative AI tools say about you. AEO, answer engine optimisation, is narrower and older, focused on winning direct answers. AIO usually refers to Google's AI Overviews specifically. In practice the work overlaps heavily.

How do you measure GEO?

There is no Search Console for AI answers. The practical method is tracking a set of prompts a real customer might type, running them regularly across the main tools, and recording whether you appear, whether you are cited with a link, and whether what is said is accurate. Referral traffic from AI tools in analytics is the other useful signal.