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GEO-Bench

Robotics & Autonomous SystemsRobotics & Embodied Intelligence

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

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