What is Generative Engine Optimisation (GEO)?
Generative Engine Optimisation (GEO) is the practice of optimising a website so generative AI engines — such as ChatGPT, Google AI Overviews, Perplexity and Gemini — surface and cite it in their answers. Unlike traditional SEO, which targets ranked links, GEO focuses on being quoted inside AI-generated responses.
GEO vs SEO vs AEO
Search is splitting into three overlapping disciplines. Traditional SEO optimises to rank in a list of blue links. GEO optimises to be cited by generative AI engines. AEO (Answer Engine Optimisation) optimises content so answer engines can extract a single, direct answer. Good structure, schema and clear writing help all three — but AI search adds new signals like llms.txt, entity clarity and answer-first formatting.
How AI engines choose what to cite
Generative engines prefer sources they can parse confidently and trust. In practice that means machine-readable structured data, unambiguous entities (a consistent business name, description and location), content that answers the question directly, and demonstrable expertise. Sites that are hard to parse — thin content, conflicting signals, no schema — are far less likely to be cited, even when they rank well in classic search.
GEO checklist: how to get cited by AI
- Add Organisation and FAQ structured data (schema.org / JSON-LD).
- Write answer-first content: lead each section with a direct, quotable answer.
- Use clean semantic HTML — one clear H1, logical headings, real landmarks.
- Keep entities consistent: the same business name, description and location everywhere.
- Publish an llms.txt that summarises your site and links to key pages.
- Cover topics comprehensively and demonstrate first-hand expertise (E-E-A-T).
- Keep facts unambiguous so AI doesn't misinterpret your business.
How to measure your GEO readiness
You can measure GEO readiness with a free AI readiness checker. Aveena analyses your site for structured data, entities, answer-first content, llms.txt and citation potential, then returns an AI readiness score, an AI Confusion score and a prioritised, plain-English action list — so you know exactly what to fix to get cited by AI.
GEO frequently asked questions
- What is Generative Engine Optimisation (GEO)?
- Generative Engine Optimisation (GEO) is the practice of optimising a website so generative AI engines — such as ChatGPT, Google AI Overviews, Perplexity and Gemini — surface and cite it in their answers. Where classic SEO targets ranked links, GEO targets being quoted inside AI-generated responses.
- Is GEO the same as SEO?
- No. SEO optimises to rank in a list of links; GEO optimises to be understood and cited by AI systems that answer questions directly. They overlap — clean structure, schema and clear content help both — but GEO adds signals like llms.txt, entity clarity and answer-first formatting.
- How do I check my GEO readiness?
- Run your URL through a free AI website scanner like Aveena. It measures structured data, entities, answer-first content, llms.txt and citation potential, then returns an AI readiness score with prioritised fixes.
- What is the difference between GEO and AEO?
- GEO (Generative Engine Optimisation) focuses on being cited by generative AI engines. AEO (Answer Engine Optimisation) focuses on structuring content so answer engines can extract a single direct answer. In practice they are complementary and share many of the same techniques.
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