GEO-Bench: Benchmarking Ranking Manipulation in Generative Engine Optimization

arXiv:2605.29107 · cs.CR, cs.AI · Submitted 2026-05-27 · Read on arXiv

cs.CR, cs.AI

Submitted: 2026-05-27

Updated: 2026-10-12

Code: https://github.com/glad-lab/geobench

Terminology

• Perplexity — 2× in this paper · explained in 3 episodes
• alpha — 2× in this paper · explained in 1 episode
• Adversarial Attacks — 1× in this paper · explained in 1 episode
• Benchmark — 1× in this paper · explained in 2 episodes
• Benchmarking — 1× in this paper · explained in 4 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes

Sources

• GEO: Generative Engine Optimization
• Multi-News: a Large-Scale Multi-Document Summarization Dataset and Abstractive Hierarchical Model
• Rewrite-to-Rank: Optimizing Ad Visibility via Retrieval-Aware Text Rewriting
• Large Language Models are Zero-Shot Rankers for Recommender Systems
• Manipulating Large Language Models to Increase Product Visibility
• Evaluating Verifiability in Generative Search Engines
• Tree of Attacks: Jailbreaking Black-Box LLMs Automatically
• Adversarial Search Engine Optimization for Large Language Models
• Ranking Manipulation for Conversational Search Engines
• C-SEO Bench: Does Conversational SEO Work?
• Shopping Queries Dataset: A Large-Scale ESCI Benchmark for Improving Product Search
• StealthRank: LLM Ranking Manipulation via Stealthy Prompt Optimization

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