In short
AEO focuses on direct answers and citations. GEO covers the wider pattern: whether generative systems understand what you do, who you serve, what evidence supports the claim, and how your pages relate to one another.
Good GEO work makes entities, services, proof, authorship, and topical relationships explicit. It gives the model less room to guess.
Where it bites
GEO matters when buyers compare vendors inside a chat interface, ask for a shortlist, or read an AI summary before visiting a site. Thin positioning, vague service language, and disconnected pages make the model fill gaps with weaker sources.
What to check
- Does each important page name the entity, audience, offer, proof, and next step?
- Do related pages reinforce the same facts instead of contradicting each other?
- Can a generative system infer the category from your own pages, not only from third-party mentions?
Common questions
What is GEO?
GEO, or Generative Engine Optimization, is the work of improving how generative AI systems understand, summarise, and represent your content.
Is GEO the same as AEO?
No. AEO is narrower and focuses on answer citations. GEO is broader and includes AI search summaries, chatbot recommendations, entity understanding, and brand representation.
What should you fix first for GEO?
Start with entity clarity, service pages that say what you actually do, proof that supports the claim, and internal links that make the topic map obvious.