geo-citation-lab
An open-source repository for Chinese generative search and GEO, helping researchers, content teams, and developers organize experiment data and produce citation analysis, report references, and case leads.
Tool overview
Based on the available evidence, this project is worth adopting as a research repository for citation behavior in Chinese generative search, but it should not be mistaken for a mature SaaS platform, an automated monitoring product, or a direct ranking-boost tool. A better analogy is an open lab notebook, data index, and research entry point around citation patterns on Chinese AI search platforms—not a replacement for Ahrefs, Semrush, or an enterprise SEO dashboard.
Its practical value is in shortening the path into GEO/AEO/AI search citation analysis: you can use it to find experiment data, reports, preprints, and adjacent tools for market research, teaching materials, strategy discussions, or secondary analysis. The evidence shows the author repeatedly sharing it alongside public course materials, reports, and a paper preprint, which supports the “research and learning hub” framing. However, the current sources do not prove stable APIs, bulk monitoring, alerting, or production-grade commercial workflows.
On cost and effort, the evidence supports that it is an open repository accessible through GitHub, based on the official repo and the author’s posts.