What Is Generative Engine Optimisation (GEO)? The UK Guide for 2026
Generative engine optimisation (GEO) is the practice of making a business likely to be named inside an answer generated by an AI engine — ChatGPT, Google AI Overviews, Gemini, Perplexity or Copilot. Where SEO competes for a position in a list of links, GEO competes to be one of the handful of sources the model draws on when it writes the answer instead.
The behaviour change underneath this is simple. Someone researching a supplier used to compare ten blue links. Increasingly they read one synthesised paragraph that names three or four companies, and click one of those — or none. There is no second page to be found on, no scrolling past a competitor, and no way to buy your way in.
- Models assemble answers from sources they retrieve and corroborate. There is no ranking you can pay into.
- Contradictory facts about your own business actively suppress citation.
- Original data is the strongest single asset — it gives an engine a reason to quote you specifically.
- Third-party mentions matter disproportionately. Models lean heavily on comparison posts and review sites.
- Nobody can guarantee a citation. Anyone promising one is describing something they do not control.
How is GEO different from SEO?
They share foundations — a page has to be crawlable, parseable and credible either way. The weighting differs sharply.
| Factor | Classic SEO | GEO |
|---|---|---|
| What you compete for | A position in a list | Being one of the sources in an answer |
| Backlinks | Primary authority signal | Matter, but corroboration across sources matters more |
| Keyword targeting | Central | Secondary to entity clarity and extractable structure |
| Entity consistency | Helpful | Close to decisive |
| Measurement | Rank and clicks | Whether you are named, across a fixed prompt set |
What actually influences whether you get cited?
No engine publishes a ranking system, so anyone claiming certainty is guessing. What follows is what is observable and defensible rather than reverse-engineered.
- Entity consistency. One set of facts — name, address, company number, services — identical across your site, your structured data, Companies House, LinkedIn and every directory. Models corroborate across sources; contradictions make you a risky thing to assert.
- Retrievability. Clean HTML, content not locked behind JavaScript, AI crawlers permitted in robots.txt, and an llms.txt summarising the site.
- Extractable structure. A direct answer in the first 60 words, question-led headings, comparison tables, real FAQ markup.
- Specificity. Concrete figures are quoted far more readily than adjectives. “£30,000–£80,000 for an MVP” survives extraction; “competitively priced” does not.
- Third-party corroboration. Directory profiles, review sites and inclusion in other people’s comparison posts — frequently where candidate names come from in the first place.
How do you measure GEO?
With a fixed prompt set, run on a schedule. Agree 20–30 questions a real buyer would type, run them across the major engines, and record whether you were named, in what position, and what was said. The discipline that makes this worth anything is keeping the prompts fixed — change the questions between runs and the trend becomes meaningless.
Expect noise. The same question asked twice in one afternoon can produce different names. That is why a single screenshot of a competitor being cited proves very little, and why a baseline needs to be a set rather than an anecdote.
Where to start
- Fix your facts first. Reconcile your name, address, company number and service list everywhere they appear. This is unglamorous, cheap and the highest-leverage thing on the list.
- Allow the crawlers explicitly, and publish an llms.txt.
- Rewrite your most important pages answer-first, with the answer in the opening lines rather than paragraph six.
- Publish something nobody else has — your own pricing, your own data, your own method.
- Get listed where the lists already exist in your sector.
Frequently asked questions
Is GEO the same as AEO?
Related but not identical. AEO — answer engine optimisation — is about being the extracted answer in a featured snippet or People Also Ask box, which is largely a formatting discipline. GEO is about being cited inside an answer a model generates from several sources, which additionally depends on entity consistency and third-party corroboration.
Does llms.txt work?
It is an emerging convention rather than a standard any engine has committed to honouring, so treat it as cheap insurance rather than a lever. Generating one from your site’s own content costs almost nothing and guarantees a clean, accurate summary exists if a crawler reads it.
How long does GEO take to work?
Entity and technical fixes propagate in weeks. Citation changes are slower and less predictable, because models retrain and retrieve on their own schedules. Treat the first ninety days as establishing a measurable baseline and fixing what is demonstrably broken.
Can a small business be cited alongside big brands?
More readily than in classic search. Answer engines are not weighted towards brand size the way link-based ranking is, and a small specialist with clear, consistent, well-structured information is frequently named next to far larger competitors.
Does GEO replace SEO?
No. Most commercial clicks still come from the results page, and AI answers sit above those results rather than instead of them. GEO is additive — and the foundations overlap enough that doing it well tends to improve classic rankings too.
We run this as a service — see generative engine optimisation, or the fixed-scope AI search visibility audit if you want the diagnosis before committing to ongoing work.
