330,000-Word GEO Three-Color Whitepaper Series Open-Sourced: First, Can It Be Verified?

Yao Jingang and Xiang Yang have open-sourced three GEO documents, totaling 330,000 words.

GEO stands for generative engine optimization; put simply, it makes content more likely to be cited by AI search and Q&A products. People doing SEO are familiar with it, but GEO evaluation methods are not yet that standardized. The three documents open-sourced this time cover foundational methods, risk governance, and service-provider evaluation, respectively.

The positioning of the three books is clear:

• The GEO White Paper: A New Paradigm for Brand Growth in the AI Search Era focuses on foundational explainers, practical case studies, and paper reviews.
• The GEO Red Paper: A Governance Manual on the Ethical Boundaries, Cheating Risks, and Governance of Generative Engine Optimization focuses on compliance, cheating risks, and governance.
• The GEO Blue Paper: A Guide to Evaluating Cooperation Between Enterprises and GEO Service Providers focuses on checklists for companies when selecting service providers.

Access methods are also fully provided: HTML, PDF, and Feishu documents are all available, and the GitHub repository can be downloaded directly.

GEO White Paper
HTML: https://www.geohui.com/docs/geo-white.html
PDF: https://github.com/yaojingang/GEOLab/blob/main/04-whitepapers/domestic/geo-white.pdf
Feishu: https://yaojingang.feishu.cn/docx/Jv85dXAeZoKJ7exJi4Yc4Edrnhf

GEO Red Paper
HTML: https://www.geohui.com/docs/geo-red.html
PDF: https://github.com/yaojingang/GEOLab/blob/main/04-whitepapers/domestic/geo-red.pdf
Feishu: https://yaojingang.feishu.cn/wiki/Otqtw0HFbiNeCMkjKalcFkoJnpf

GEO Blue Paper
HTML: https://www.geohui.com/docs/geo-blue.html
PDF: https://github.com/yaojingang/GEOLab/blob/main/04-whitepapers/domestic/geo-blue.pdf
Feishu: https://yaojingang.feishu.cn/wiki/MwkiwPDqCiHGwVk2uOtcNUlrnnf

GitHub repository: https://github.com/yaojingang/GEOLab/tree/main/04-whitepapers
Navigation: https://yaojingang.github.io/GEOLab/04-whitepapers/
GEO resource collection repository: https://github.com/yaojingang/GEOLab

The value of this material is that it brings together scattered terminology, cases, compliance issues, and service-provider evaluations, saving at least a lot of time sifting through chat logs and scattered articles.

The problem lies here too. 330,000 words can easily become a placebo in your bookmarks. There are more and more GEO service providers, but not many can actually present a credible verification chain. If AI crawler logs, cited pages, and structured data do not line up, optimization can easily become storytelling.

In the comments, Laban cares about verifiability: can AI crawler logs, cited pages, and structured data be matched up? Kurt Eisberg asked more directly: does the white paper include a reproducible controlled evaluation? For the same batch of content, how does the citation rate change across different AI search and Q&A engines before and after GEO optimization? And how do you rule out interference from content quality, timeliness, and domain authority itself?

These two questions are more worth digging into than '330,000 words.' Open-sourcing the materials is a good thing; the next step is to look at experimental design, baselines, and reproducibility.

If you want to download them, use the links above. I suggest first skimming the white paper's table of contents, then jumping to the red paper's sections on compliance and cheating risks, and finally using the blue paper's evaluation checklist to question service providers. 330,000 words in your bookmarks and 330,000 words read are two different things.