If you run a UK small business and you have searched Google lately, you have already met the thing GEO is about. The answer now sits at the top of the page, written by a model, often without you clicking anything. Generative engine optimisation is the discipline of making sure that when an AI engine writes that answer, it quotes you. This guide explains what GEO is, how it differs from the SEO you may already know, and the concrete first steps a small UK team can take without a large budget.
What is generative engine optimisation (GEO)?
Traditional search hands you a list of links and lets you choose. A generative engine reads many sources, then writes one direct reply and names a handful of them. GEO is the work of becoming one of those named sources. In practice that means writing clear factual claims, attributing your numbers to real sources, marking up your pages with structured data, and earning enough authority that a model trusts you for a given topic. Most of this builds on existing search foundations, which is why a business with a healthy site has a head start. The AI visibility hub is a good place to see how these pieces fit together for a UK SMB.
How is GEO different from traditional SEO?
The mechanics overlap more than the hype suggests. AI Overviews are built on Google's existing index, so a page that already ranks can be pulled straight into the summary. The difference is in intent. SEO optimises for a human deciding which link to click. GEO optimises for a model deciding which sentence to lift. That changes how you write: a sharp one-line answer near the top of a section is easier for a model to quote than three paragraphs of build-up. If you want a fuller breakdown of the acronyms, the comparison of AEO, SEO, GEO and LLMO covers where each one starts and stops.
Why should a UK small business care about GEO now?
The scale is no longer theoretical. Google said on its July 2025 earnings call, as reported by TechCrunch, that AI Overviews had reached two billion monthly users, up from 1.5 billion in May 2025. In the UK specifically, Ofcom's Online Nation 2025 report, as covered by TechRound, recorded 1.8 billion UK visits to ChatGPT in the first eight months of 2025, far ahead of the 368 million in the same period a year earlier.
That last figure matters most for daily trade. Ofcom's report, summarised by Mediaworks, found that around 30% of Google searches now show an AI summary and that 53% of UK adults say they see these summaries often, even when they did not look for one. A plumber, salon or accountant whose answer is summarised away still wants to be the named source in that summary.
How do AI engines decide which sources to cite?
There is no single public algorithm, but the observable pattern is consistent. Engines favour pages that state a claim plainly, back it with a named source, and sit on a site that already has relevant authority for the subject. Ambiguity is the enemy: if a model cannot tell exactly what you are asserting, it will quote a competitor who said it more cleanly. For UK businesses this rewards the unglamorous basics, accurate contact details, consistent local information, and content that reads like it was written by someone who actually does the work.
What are the first GEO steps for a UK SMB?
A practical first week looks like this. List the ten questions customers actually ask you. Check whether your site answers each one on a dedicated, indexable page. For each page, put a clear one or two sentence answer near the top, then expand below it. Replace vague claims with attributed ones. Make sure your Google Business Profile and local citations are accurate, because AI engines lean on that data for local queries. If you already publish a blog, the guide on getting cited by ChatGPT and the one on getting cited in Perplexity cover engine-specific habits worth copying.
How do you structure content so AI engines quote you?
The shape that works is question, then answer, then evidence. A heading phrased as a real question matches the way people prompt a model. A direct answer underneath gives the engine a clean sentence to lift. Evidence below the answer gives it the confidence to lift it. Avoid burying the point inside a story, and avoid hedged language where a model cannot tell what you concluded. Short paragraphs help, because a model extracting a passage prefers a self-contained chunk over a sprawling one. None of this is exotic writing, it is just disciplined writing that happens to be machine-friendly as well as reader-friendly.
Does schema markup and llms.txt help with GEO?
Structured data is the more established lever. Marking up your business, your FAQs and your articles gives engines an unambiguous machine reading of your page, and the practical steps for a small UK site are covered in the guide to schema markup for UK SMBs. The newer idea, an llms.txt file, is a simple text file that flags your most useful pages to AI crawlers. Adoption is still early and support varies, so treat it as a low-effort experiment rather than a guaranteed win. Get your schema right first, then add llms.txt as a cheap extra signal.
How do you measure whether GEO is working?
There is no official GEO scoreboard yet, so a tracked spreadsheet does the job. List your target questions, run them through the major engines on a regular cadence, and note when your brand appears. Alongside that, watch your Search Console data for queries where impressions stay high but clicks fall, which can mean an AI summary is answering on your behalf. Referral traffic from AI tools is small for most UK SMBs today but worth measuring as a trend. The point is to see the direction of travel over a quarter, not to chase a single perfect metric.
What GEO mistakes should UK small businesses avoid?
The first trap is treating GEO as separate from search. Because AI engines lean on the existing index, a slow, poorly structured or unindexed site cannot be rescued by GEO tactics. The second trap is mass-produced content. Scaled, low-effort pages tend to be the least quotable, because they say little a model can cite with confidence. The third is exaggeration: an unsourced statistic is a liability, since engines increasingly favour claims with clear provenance. Build the boring foundations, write like the practitioner you are, attribute your figures, and you will be doing the work that both Google and the AI engines reward.
Generative Engine Optimisation (GEO) — FAQ
What is generative engine optimisation in simple terms?
Generative engine optimisation (GEO) is the practice of structuring your website and content so that AI answer engines such as ChatGPT, Google AI Overviews and Perplexity quote you in their generated answers. Traditional SEO tries to win a clickable position in a list of blue links. GEO tries to become one of the sources the model pulls a sentence from when it writes a direct answer. The two overlap heavily, because most AI engines still lean on conventional search and crawlable web pages to ground their replies. GEO mainly adds a layer: clear claims, named sources, structured data and content a model can lift without ambiguity.
Is GEO different from SEO, AEO and LLMO?
They describe overlapping work under different labels. SEO targets ranking in a results page. Answer engine optimisation (AEO) targets featured answers and voice results. GEO targets citations inside AI-generated answers. LLMO, or large language model optimisation, is often used as a synonym for GEO. For a UK small business the practical takeaway is that one body of work, clean structure, factual claims, schema and authority, feeds all of them. You do not need four separate strategies. You need one technically sound site and content written so a machine can quote it cleanly without guessing at what you meant.
Do I need to abandon traditional SEO to do GEO?
No. AI engines still depend on crawlable, indexable pages and conventional ranking signals to decide what to cite. Google's AI Overviews sit on top of its existing index, so a page that already ranks well has a strong chance of being pulled into the summary. The sensible order for a UK SMB is to keep the SEO fundamentals working, fast pages, clear titles, internal links, accurate local listings, then add GEO-specific touches such as direct answers, source attribution and structured data. GEO is an extension of good SEO, not a replacement for it.
How long does GEO take to show results?
Expect months, not days. AI engines need to recrawl your pages, and models that train or refresh on a schedule may take longer to reflect changes. The faster wins come from engines that retrieve live results, such as Google AI Overviews and Perplexity, because they read your current page rather than a months-old training snapshot. A realistic plan is to publish or restructure content, confirm it is indexed, then track AI citations and referral traffic over a quarter. Treat early movement in AI Overviews and Perplexity as the leading indicator of progress.
How do I measure whether GEO is working?
Combine manual checks with analytics. Ask the real questions your customers ask in ChatGPT, Perplexity and Google AI Overviews, and record whether your brand or pages appear as a cited source. In analytics, watch for referral traffic from AI domains and for a gap between impressions and clicks in Search Console, which can signal that AI summaries are answering queries on your behalf. There is no single official GEO dashboard yet, so a simple tracked spreadsheet of target questions, plus referral and Search Console data, is enough to see the trend.
