Research Papers
Academic research and studies on AEO, GEO, and AI-powered search optimization.
Generative Engine Optimization
Pranjal Aggarwal, Vishwas Srivastava, et al. · 2024
arXiv 2024
Retrieval-Augmented Generation for Large Language Models
Patrick Lewis, Ethan Perez, et al. · 2023
NeurIPS 2020
Generative Engine Optimization: How to Dominate AI Search
Research Team · 2025
arXiv 2025
Manipulating Large Language Models to Increase Product Visibility
Aounon Kumar, Chirag Agarwal, et al. · 2024
arXiv 2024
What Evidence Do Language Models Find Convincing?
Alexander Wan, Eric Wallace, et al. · 2024
arXiv 2024
Dense Passage Retrieval for Open-Domain Question Answering
Vladimir Karpukhin, Barlas Oğuz, et al. · 2020
EMNLP 2020
Language Models as Knowledge Bases?
Fabio Petroni, Tim Rocktäschel, et al. · 2019
EMNLP 2019
WebGPT: Browser-assisted question-answering with human feedback
Reiichiro Nakano, Jacob Hilton, et al. · 2021
arXiv 2021
Evaluating Verifiability in Generative Search Engines
Nelson F. Liu, Maged S. Al-shaibani, et al. · 2023
arXiv 2023