Generative Engine Optimization

Build visibility for generative search without chasing magic tricks.

A practical guide to GEO: improve the technical, entity, content and evidence signals that can support discovery in generative AI experiences.

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Quick answer

Generative engine optimization (GEO) is the process of improving the web signals that can help generative search and AI answer systems discover, understand, retrieve, and confidently use information about a brand or topic.

Be discoverable

Strengthen crawlability, indexability, entities, and answer-ready content.

Be understandable

Give AI retrieval systems clear facts, relationships, and structured context.

Measure evidence

Track observable signals without pretending any platform guarantees citations.

Start with retrieval

Generative systems cannot use information they cannot access or interpret. Strong GEO therefore starts with crawlability, clear page purpose, entity consistency, and useful answer-level passages.

Check AI crawler access
Create clear factual passages
Use descriptive internal links and structured data

Build evidence, not filler

Useful GEO content should provide original facts, comparisons, definitions, examples, and sourceable claims. Publishing hundreds of near-duplicate pages is not a substitute for information gain.

Prefer first-party evidence and specific examples
Keep claims attributable and current
Cover the questions buyers actually ask

Measure what you can control

Rofix focuses on observable site and visibility signals rather than promising model behavior.

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