AI BENCHMARK PROFILE
GEO-Bench
GEO-Bench evaluates ranking manipulation attacks in generative engine optimization under a unified protocol, measuring effectiveness and stealth across five datasets against a fixed ranker, with open-source attack implementations.
- Released
- 2026-05-27
- Readiness
- Paper only
- Primary field
- Robotics & Autonomous Systems
Why it matters
Addresses the lack of standardized comparison in GEO attack research, enabling direct comparison across attack paradigms and supporting detection development.
Motivation
Large language models (LLMs) increasingly rank products, documents, and recommendations for user queries, which makes manipulating these rankings a growing concern for fairness and information integrity.
Primary resources
Benchmark Radar records only publicly supported details and links back to primary sources for verification.