Generative engine optimisation (GEO) is the practice of structuring your content so AI systems like ChatGPT, Google AI Overviews, Perplexity and Gemini can find it, understand it, and mention it when someone asks a question in your industry. If a potential customer asks an AI assistant which agency, hospital or hardware supplier to use and your business never comes up, that's a GEO problem, not just a marketing one.
It's not a niche concern anymore. According to eMarketer, US enterprises allocated an average of 12% of their digital marketing budgets to GEO last year, and 94% of them said they planned to increase that spend this year. Budgets move toward problems people feel, and this one is being felt.
Key takeaways
GEO is about being cited inside an AI-generated answer, not about ranking in a list of links
Fewer than 9% of ChatGPT and Gemini citations come from top 10 Google results, so ranking well is no longer enough on its own
AI systems resolve entities before they trust them, so name, address, phone and schema consistency matters as much as the writing itself.
Brand mentions and reviews now correlate with AI visibility more strongly than backlinks do
Specific, original content survives summarisation. Generic content, however well written, tends to disappear.
Only 12% of marketers running GEO can currently prove it's working, which is where the real opportunity sits.
How is GEO different from SEO?
The two aren't opposites, but they reward different things:
SEO earns you a place in a list of ten blue links. GEO earns you a mention inside the single paragraph an AI has already written to answer someone's question
SEO success shows up as a ranking position. GEO success shows up as a name, sometimes with no click at all
Good technical SEO is still what lets an AI system find and read your site. GEO is what happens after that, deciding whether your content is the version it actually chooses to repeat
How do generative engines actually decide what to cite?
Every AI system works slightly differently, but most follow a broadly similar pattern:
Retrieve a set of documents or pages relevant to the question.
Evaluate which of those sources look most relevant and trustworthy.
Synthesise an answer from one or more of them.
Decide whether to name those sources explicitly, or use what they found without attribution.
That last point matters more than most GEO advice admits. Sometimes an AI answer says "according to Cralite Digital" and names you directly. Other times, it says "local SEO now depends more on entity signals than proximity," using your data or your framing, with no attribution at all. Both outcomes mean your content shaped the answer. Only one builds your brand while doing so, which is why being clearly and consistently identifiable as the source matters as much as being accurate.
The retrieval step also differs across tools. Google AI Overviews leans heavily on Google's search index; Perplexity cites web sources aggressively and visibly; and ChatGPT blends web retrieval with its model, depending on whether search is on for that query. The mechanics differ. The underlying principle that clear, well-sourced, entity-consistent content wins holds across all of them.
Community discussion punches above its weight in this process. Reddit was the most-cited domain across LLM responses, at 40.1%, ahead of Wikipedia, YouTube, and Google's own results, because AI systems treat community discussion as unfiltered opinion rather than marketing copy. That logic extends past Reddit:
Press coverage, mentions on respected industry blogs, and even being talked about without a link back to your site all feed the same trust signal. Ahrefs analysed 75,000 brands and found that branded web mentions correlate with AI visibility more strongly than backlinks, at roughly 0.66-0.71, compared with under 0.30 for backlinks.
Reviews carry unusual weight. A Trustpilot study covering more than 800,000 AI responses found that brands with no active review profile were cited in only 1% of responses, compared with 75.3% for brands that actively collect and respond to feedback.
A brand that only talks about itself on its own site has a fraction of the evidence a well-covered, well-reviewed competitor has built elsewhere.
Why does this matter for your business right now?
Because the gap between ranking well and being cited well is already large, Ahrefs found that fewer than 9% of ChatGPT and Gemini citations come from URLs ranking in Google's top 10, meaning over 90% of high-ranking pages never appear in an AI answer. A page can do everything right by old SEO standards and still be invisible to the tool your customer just opened.
One finding is particularly interesting. Only 12% of marketers running GEO can point to measurable results, even though 54% say it's a priority. This suggests many organisations invest before establishing reliable ways to measure success, creating an opening for businesses that build measurement into the strategy from the start rather than adding it later.
How AI recognises your business
Generative systems don't just index pages; they try to resolve real-world entities. That means matching signals across the web to confirm your company name, website, Google Business Profile, LinkedIn page, press mentions, reviews and named authors all point to the same organisation.
The clearer and more consistent those connections are, the more confidently an AI system will name your business rather than hedging, generalising or naming a competitor. In practice, that means treating your business's identity as something you actively maintain, not something that exists:
Use exactly matching name, address and phone details across your Google Business Profile, LinkedIn, About page and any directory listings, sometimes called an entity home.
Add the Organization and LocalBusiness schemas so those same details exist in code, not just in prose that an AI has to interpret.
Name real authors on your content where you can. Attributed expertise resolves and is trusted more easily than anonymous content
Why specificity survives summarisation
AI systems compress everything before repeating it, so vague claims tend to disappear while specific ones survive. Compare "we offer SEO services" with "we migrated a large ecommerce catalogue and measurably cut crawl waste." The second gives a model something concrete to quote. The first gives it nothing to hold onto.
This ties closely to a concept called information gain. An AI system has no reason to cite the twentieth page saying the same generic thing every other agency's site says. It has every reason to cite the one page with an original number, a first-hand example, or a specific outcome not found on other sites. Original case studies, named results and genuine first-hand experience outperform polished but generic claims, even when the generic version is better written.
What does this look like for a business in Kenya?
Across the region, the pattern is that international visitors ask AI assistants direct questions, such as which hotel to book in Zanzibar or which law firm to use in Nairobi. The businesses named are those with genuine content depth and consistent entity signals, not those paying for placement. There's no ad slot to buy here. Only the work of being clearly and consistently described across the web matters.
Local businesses have a narrower window than most assume. ChatGPT recommends a specific local business only about 1.2% of the time it's asked. The businesses it recommends average a 4.3-star rating, well above the threshold that used to be enough to rank on Google Maps through proximity alone. That 1.2% figure reflects how often a single business gets named for an explicit local recommendation, like "where should I buy a laptop in Westlands," rather than AI ignoring local questions. It constantly answers local queries but is far more selective about which businesses earn a mention than Google Maps was.
What doesn't move the needle on its own
A few things get pitched as GEO silver bullets and consistently underdeliver when used in isolation:
Schema markup alone, without the entity and trust signals behind it
An llms.txt file alone may help some AI systems understand a site's preferred content, but it doesn't replace good content, entity signals or technical SEO.
Stuffing "AI-friendly" phrasing into copy, which changes nothing about how models actually retrieve or evaluate content
Publishing a high volume of generic AI-written pages, which tends to dilute a site's signal rather than strengthen it, and increasingly gets filtered out by the same systems it was meant to impress
How to measure whether it's working
This is the piece most businesses skip, which is why so few can prove their GEO work is paying off. It's worth tracking from the start:
AI referral traffic in GA4. Google added a native AI Assistant channel in May 2026 that automatically buckets sessions from recognised sources like ChatGPT, Gemini, Copilot and Grok, but Claude and Perplexity still land in plain Referral, so layer a custom channel group with your own regex to catch what the native one misses.
Branded search volume over time, since AI exposure tends to lift how often people search for your name directly afterwards
Manual or tool-based checks of whether AI Overviews, ChatGPT, Perplexity and Copilot mention your business for a fixed list of target queries, repeated periodically. Dedicated platforms like Peec AI or Otterly.ai automate this at a reasonable monthly cost if manual checking doesn't scale
Server log activity from AI crawlers such as GPTBot, ClaudeBot, PerplexityBot and OAI-SearchBot, as a rough signal of whether these systems are actively reading the site at all
None of this is as tidy as a Google Analytics report. Even Google's own native channel has real gaps, and 35 to 70% of AI referral sessions arrive with no referrer at all and get counted as Direct regardless of which tool sent them. The tracking is still catching up to the channel. That's precisely why it's worth doing now, while most competitors aren't.
What can you actually do about GEO?
Open every page and blog post with a direct answer to the question in the title, not a slow build-up.
Build and maintain a consistent entity home: a matching name, address, and phone details, schema markup, and the same description of your business everywhere it appears.
Publish content built around specific customer questions, with real numbers, named results, or first-hand experience wherever you have them.
Earn genuine mentions in third-party spaces, reviews, forums, press, and industry blogs, rather than relying on owned content alone.
Actively collect and respond to customer reviews, given how sharply citation rates split between brands that do and don't
Keep content up to date, since some AI systems place heavy weight on freshness when choosing between otherwise similar sources.
Keep the technical SEO fundamentals solid, since AI systems still need to crawl and read your site before they can cite it.
Frequently asked questions
Is GEO replacing SEO?
No. GEO builds on solid technical SEO. A site that can't be crawled or indexed properly won't be found by an AI system in the first place, regardless of how well the content itself is written.
Does schema markup actually matter for AI citations?
Yes, though it's not the whole story. Structured data appears on the majority of pages AI tools cite, but earned trust signals like reviews, mentions, and entity consistency correlate even more strongly with citation, so schema works best alongside them, not instead of them.
What's the difference between being cited and being mentioned?
A citation names your business directly as the source. A mention is when an AI system uses your data, framing or ideas without naming you. Both mean your content shaped the answer, but only a citation builds visible brand recognition, which is why entity clarity matters so much.
How long does GEO take to show results?
There's no fixed timeline, since AI systems retrain and re-crawl on their own schedules. Most businesses start seeing early citation activity within a few months of consistent, clearly structured content.
Do I need a big budget to start optimising for GEO?
No. The starting point is free: writing direct answers, defining your business consistently, and encouraging genuine reviews. Paid tools help measure progress; they don't create visibility on their own.
Does GEO work for small, local businesses?
Yes, arguably more so. AI systems favour clearly documented, well-reviewed local options precisely because there's less noise to sort through than in a competitive national market.
GEO isn't about writing for AI. It's about reducing ambiguity and making your expertise easy for a machine to recognise, verify and summarise correctly. Businesses that keep publishing original, well-structured, well-supported information will be in a strong position no matter which assistant their customers ask.
