GEO (Princeton)

GEO (Princeton) is a research project in the Research & Frameworks category of Generative Engine Optimization resources. Built with Python, it has 232 stars on GitHub and is actively maintained.

Original GEO research from Princeton — KDD '24 paper with GEO-BENCH benchmark. Proves 40% visibility boost.

This resource is part of the Awesome GEO curated collection — a hand-picked set of open-source tools, libraries, research papers, and frameworks for optimizing web presence across AI search engines like ChatGPT, Perplexity, Gemini, and Claude.