Optimizing to be cited by AI follows three core Generative Engine Optimization (GEO) principles. First, structure and clarity: use headings, lists, and tables for easy parsing, lead with concise summaries, apply well-formed schema like Article, FAQPage, and HowTo, and keep terminology consistent. Second, factual integrity and E-E-A-T: cite data, keep facts non-contradictory and aligned across your domain and third-party profiles, and demonstrate expertise through author bios, credentials, and case studies. Third, contextual and semantic depth: enrich content with related entities and questions, maintain topic clusters, and phrase for conversational and voice queries. Models prioritize clarity, consistency, and credibility over keyword density, so information published consistently across trusted sources is the most likely to surface in AI answers.
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