Answer engines · definitions

What is GEO (Generative Engine Optimisation)?

Last updated 14 August 2026

Generative Engine Optimisation (GEO) is the practice of improving how generative AI systems — such as ChatGPT, Gemini, Perplexity and Google's AI Overviews — represent and recommend a business inside the answers they generate. It focuses on the content, structure, entity signals and third-party citations these models draw on when composing a response.

The basics

What does GEO stand for?

GEO stands for Generative Engine Optimisation. A generative engine is an AI system that writes an original answer from many sources rather than returning a list of links. GEO is the work of making sure that when these systems describe your market, your business is represented accurately, favourably and often enough to be recommended.

Because generative models synthesise rather than rank, GEO leans on clarity and trust: content the model can quote cleanly, an entity it can identify with confidence, and credible sources beyond your own site that corroborate what you claim.

Comparison

GEO vs AEO vs SEO — at a glance

ApproachOptimises forPrimary levers
SEORanking a page in search resultsKeywords, links, technical health
AEOBeing cited in a direct answerStructured data, answer-first content
GEOHow generative AI represents and recommends youEntity clarity, trusted sources, third-party citations

In practice AEO and GEO overlap so much that most teams treat them as one discipline of "AI visibility". The shared foundation is the same: clean schema, a consistent entity, honest answer-first content and real trust signals.

How it works

What signals influence GEO?

  • Content the model can lift as a clean, self-contained answer
  • A clearly defined entity — consistent name, location and description across every profile
  • Structured data that removes ambiguity about what you are
  • Third-party citations and mentions from sources the model already trusts
  • Reviews and freshness that signal the business is real, active and reputable

Citable works the controllable signals first — schema, entity and answer content on assets you own — because research suggests most AI citations come from sources a business already controls. Earned third-party citations are the harder, longer layer.

We do not guarantee rankings or AI mentions. We improve the public signals AI, Google and Maps use to understand, trust and recommend a business.

FAQ

GEO questions, answered plainly.

What does GEO stand for?GEO stands for Generative Engine Optimisation — improving how generative AI systems such as ChatGPT, Gemini, Perplexity and Google AI Overviews represent and recommend a business in the answers they generate.
Is GEO the same as AEO?They overlap heavily and are often used interchangeably. AEO emphasises being cited in direct answers; GEO emphasises how generative models represent you across a whole response. Both rely on structured data, entity clarity and trusted sources.
How is GEO different from SEO?SEO optimises for ranking in a list of links. GEO optimises for how AI models describe and recommend you when they compose an answer. GEO depends on clear content, entity signals and credible third-party citations models can draw on.
Can GEO guarantee my business appears in AI answers?No. Generative outputs vary and no agency controls them. GEO improves the public signals AI systems rely on so a business is more likely to be represented accurately and recommended, without any guarantee.
How do I start with GEO?Start with a free AI Visibility Snapshot. It shows how generative AI, Google and Maps describe your business today and the three highest-leverage fixes to improve how you are represented.