GEO in one paragraph
Generative Engine Optimisation (GEO) is the practice of making a business visible and citable in AI engines such as ChatGPT, Gemini, Perplexity and Claude. It uses structured data, entity signals, llms.txt files and citable content so that AI-generated answers mention and recommend your business.
Buying research is moving into conversations with AI. Instead of typing keywords into Google and scanning ten blue links, a growing share of buyers ask ChatGPT to recommend a provider, ask Perplexity to compare options, or ask Gemini to summarise a category. The engine answers directly and cites a handful of sources. GEO is the discipline of becoming one of those sources.
How do AI engines decide what to cite?
AI engines build answers from two inputs: what their underlying models learned during training, and what their retrieval systems find when they search the live web at question time. In both cases they favour sources that are easy to verify and easy to extract. In practice that means four things.
- A resolvable entity. The engine needs to know your business is a real, specific thing: a consistent name, address and description across your site, LinkedIn, Google Business Profile and directories, tied together with Organization schema and sameAs links.
- Machine-readable structure. Schema markup states in unambiguous terms who you are, what services you sell and who runs the firm. Pages without structured data force the engine to guess.
- Extractable content. Clear definitions, question-format headings, concise summaries and first-party data lift cleanly into a generated answer. Dense brochure copy does not.
- Corroboration. Mentions on directories, media and partner sites confirm the entity exists and matters. An entity only its own website describes is weak evidence.
How is GEO different from SEO?
SEO optimises for position on a search results page. GEO optimises for inclusion in a generated answer. They share foundations: a crawlable site, authoritative content, good information architecture. But the targets behave differently.
| SEO | GEO | |
|---|---|---|
| Surface | Ranked results page | Generated answer with citations |
| Unit of success | Ranking position and clicks | Citation, mention and recommendation |
| Primary signals | Links, relevance, experience | Entity clarity, structured data, extractability |
| Key assets | Keyword-targeted pages | Schema suite, llms.txt, answer capsules, definitional content |
| Measurement | Rank trackers, Search Console | AI visibility monitoring across engines |
The practical consequence: a site can hold strong Google rankings and still be invisible in AI answers, because it never built the entity and structure layer that generative engines rely on.
What does a GEO programme actually involve?
A complete GEO build has four layers. First, the entity foundation: Organization, ProfessionalService, Service and Person schema across the site, connected by sameAs links to every official profile. Second, AI agent discovery files: llms.txt and ai.txt at the site root, describing the business in structured plain language. Third, citable content: pillar pages and supporting articles that define the category's terms, publish first-party findings and answer the questions buyers ask. Fourth, measurement: a baseline of how the brand currently appears in ChatGPT, Gemini, Perplexity and Claude, re-tested as the work ships.
Why does moving early matter?
GEO rewards incumbency. Once an engine repeatedly finds the same few well-structured sources for a category, those sources keep getting cited, and later entrants have to displace them. In most service categories, including professional services in Singapore, almost nobody has deployed the full stack yet. The citation positions are still open. That is a window, and windows close.
Where should a business start?
Start by measuring. Run your own buying queries through ChatGPT, Gemini and Perplexity and record who gets cited; that is your competitive baseline. Then audit your site's GEO readiness: schema coverage, llms.txt, entity consistency and content extractability. Our SEO audit scores all of this alongside classic SEO, and our GEO service builds the full stack.
Quick answers
Is GEO the same as AEO?
No. GEO targets generative AI engines such as ChatGPT and Perplexity. AEO targets answer features inside search engines: Google AI Overviews, featured snippets and People Also Ask. The content formats overlap, and the two work best as one programme.
Does GEO replace SEO?
No. SEO still governs the search results pages where much research happens, and AI engines themselves lean on well-optimised sites. GEO extends visibility into AI conversations; it does not replace the foundations.
Can GEO results be measured?
Yes. Brand mentions and citations in AI engines can be tracked with monitoring tools and structured manual testing. A baseline before work starts makes progress visible query by query.
See how visible you are to AI engines today
Our audit scores your GEO readiness across schema, entity signals and content structure, with a prioritised fix list.