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psbagga17/E-GEO

E-GEO: A Testbed for Generative Engine Optimization in E-Commerce E-GEO is the first e-commerce dataset built for generative engine optimization (GEO): 13,747 long-form, conversational product queries (sourced from Reddit's r/BuyItForLife and rewritten into shopping-agent style), each paired with 10 retrieved Amazon listings drawn from a corpus of ~17M products. Queries average ~59 words — far richer than the short keyword queries in existing e-commerce datasets — and capture… See the full description on the dataset page: https://huggingface.co/datasets/psbagga17/E-GEO.

Author / organizationpsbagga17
License (as declared)cc-by-4.0
Downloads266 (as reported by Hugging Face)
Likes2
Created3 July 2026
Last updated at source3 July 2026
e-commercegenerative-engine-optimizationgeoproduct-searchrankingllm
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