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
| Approach | Optimises for | Primary levers |
|---|---|---|
| SEO | Ranking a page in search results | Keywords, links, technical health |
| AEO | Being cited in a direct answer | Structured data, answer-first content |
| GEO | How generative AI represents and recommends you | Entity 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.
FAQ
