# Papers and Studies

This folder collects technical papers, research articles, and analysis relevant to Generative Engine Optimization (GEO), LLM behavior, and AI-powered search.

Topics include:
- Citation bias in LLM outputs
- Training data influence on AI recommendations
- Retrieval vs. non-retrieval model behavior
- Protocols like `llms.txt` and AI crawler control
- Evaluation benchmarks for generative search

Where possible, we link to the original source. For distribution-restricted papers, we include summaries or links only.

Know a paper worth including? Open a PR or issue with the link.