GEO: the KDD-2024-defined practice of writing content to be cited by AI answers
robertonappe · x · 2026-10-28
A systematic explainer of GEO (Generative Engine Optimization), a term formalized by Pranjal Aggarwal et al. in the KDD 2024 paper "GEO: Generative Engine Optimization".
- Core difference: SEO ranks links in a list; GEO concerns how content participates in a synthesized AI answer — whether it's cited, how much is used, and how accurately.
- Coexists with SEO: Google says there are no extra requirements to appear in AI Overviews/AI Mode beyond being indexed and snippet-eligible; GEO adds an editorial layer of clarity, evidence, structure, and verifiability.
- Common misconceptions: GEO isn't bulk content generation, LLMS.txt files aren't a visibility guarantee, and it's not about manipulating language models.
The takeaway: you used to write to appear in a list; now you also write to become part of the answer.
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