Papers

Featured research on Generative Engine Optimization — peer-reviewed work, summarized and critiqued. For curated further reading, see the Research hub.

• GEO: Generative Engine Optimization (Aggarwal et al. 2024)

  Pranjal Aggarwal, Vishvak Murahari, Tanmay Rajpurohit, Ashwin Kalyan, Karthik Narasimhan, Ameet Deshpande · KDD 2024 (Proc. 30th ACM SIGKDD) · 2024

  The KDD 2024 paper that coined Generative Engine Optimization, released GEO-bench and the impression metric, and showed content rewrites can lift AI-answer visibility by up to 40% — with a GEO Wiki critique of how far that figure travels.