About this hub
GEO (Generative Engine Optimization) is about whether a piece of content can be understood, cited, and restated consistently by generative answer engines, rather than where a blue link ranks in classic search. This topic follows the livestream reading list in three tracks: method and evaluation, single-article practice, and systems plus skills. Original documents stay at the linked sources. The Chinese and English pages point at the same set.
Tutorials
View allThe livestream handbooks, research note, three papers, plus Thinking in Systems and Engineering: A Beginner’s Guide.
Operating steps, the six-layer model, a 12-step workflow, and a 100-point scorecard drawn from 53 papers.
Engineering definition, how generative engines work, modules, attribution, and a 30-60-90 day path.
A global content system and a single-page method, with a scorecard, checklists, and a running example.
GEO