GEO-Bench: Benchmarking Ranking Manipulation in Generative Engine Optimization 事件

GEO-Bench: Benchmarking Ranking Manipulation in Generative Engine Optimization arXiv:2605.29107v1 Announce Type: cross Abstract: 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. Research on generative engine optimization (GEO) has produced many manipulation methods, but each is evaluated on its own dataset with its own metrics, so their relat