What is the relationship between entity optimization and GEO?

Entity optimization is the foundation that generative engine optimization (GEO) is built on, because the AI engines preferentially cite and accurately describe entities they recognize. GEO is the broader practice of getting cited, mentioned, and correctly framed in AI-generated answers, and it has two halves. The content half is writing material the engines can extract and quote – clear, well-structured, authoritative content. The entity half is making sure the engines recognize who is behind that content and treat them as a credible source. Strong entity signals amplify the content work: a model is far more likely to cite and trust content from an entity it can confidently resolve and that it associates with topical authority than from an unrecognized one. Conversely, even excellent content underperforms in GEO if the entity behind it is fuzzy. This is why we sequence entity optimization ahead of or alongside content work, and verify the combined effect with AIQ™. Entity recognition is the multiplier on everything else GEO does.