What is generative engine optimization (GEO)?
Generative Engine Optimization (GEO) is the practice of optimizing your content, entity data, and citation footprint so generative AI engines reference and recommend your brand inside their answers. Where SEO competes for a ranked link, GEO competes for inclusion in the paragraph the model writes back to the user.
How GEO differs from SEO
SEO optimizes a page for a position in a list. GEO optimizes an entity for inclusion in a synthesized answer that may cite several sources at once. The signals overlap — crawlability, authority, and clarity matter to both — but GEO adds entity resolution, passage-level extractability, and cross-source corroboration.
The four pillars
Entity recognition (models reason about entities, not URLs), citation engineering (models favor brands the rest of the web already references), structured evidence (schema, tables, definitions, FAQs the model can ground on), and multi-model monitoring (each engine weights sources differently).
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