
GEO Paper Review: Evaluation Systems and Manipulation Risks
Review of SAGEO Arena and CORE papers, analyzing the need for integrated GEO evaluation frameworks and the vulnerability of AI search rankings (91.4% Top-5 manipulation success rate).

Review of SAGEO Arena and CORE papers, analyzing the need for integrated GEO evaluation frameworks and the vulnerability of AI search rankings (91.4% Top-5 manipulation success rate).

Review of AutoGEO (quality-preserving auto-optimization) and E-GEO (e-commerce vertical benchmark) papers, analyzing how GEO optimization seeks a Pareto optimal between visibility and utility.

Review of the KDD 2024 GEO paper and Chen et al. 2025. Covers the academic definition of GEO, the PAWC visibility metric, and AI search's preference for earned media.
Review of SAGEO Arena and CORE papers, analyzing the need for integrated GEO evaluation frameworks and the vulnerability of AI search rankings (91.4% Top-5 manipulation success rate).
Review of AutoGEO (quality-preserving auto-optimization) and E-GEO (e-commerce vertical benchmark) papers, analyzing how GEO optimization seeks a Pareto optimal between visibility and utility.
Review of the KDD 2024 GEO paper and Chen et al. 2025. Covers the academic definition of GEO, the PAWC visibility metric, and AI search's preference for earned media.