Generative Engine Optimization (GEO): how to get cited by AI search

Generative Engine Optimization (GEO) is the practice of structuring content so that AI answer engines — ChatGPT, Google AI Overviews, Perplexity and Gemini — can extract, trust and cite it. Classic SEO fights for a blue link. GEO fights to be the sentence inside the answer.

The first rule is answer-first writing. Each page should state, in plain language and within the first hundred words, exactly what the entity is, what it does, where it operates and who it serves. Models reward unambiguous statements of fact over marketing abstraction.

The second rule is machine-readable structure. Use one H1, descriptive H2s phrased as real questions, short factual paragraphs, and JSON-LD schema (Organization, Service, FAQPage, Article). Schema is how you tell an engine that a claim is a fact rather than a slogan.

The third rule is corroboration. Answer engines weight entities that appear consistently across independent sources — directories, PR coverage, syndicated articles, review platforms. This is why we pair GEO with digital PR and third-party content syndication rather than treating them as separate budgets.

Finally, measure differently. Track branded prompt visibility, citation counts, and assisted conversions from AI referrers — not just keyword rank.