Flywheel Club (Flywheel AI/AIGrowthClub) focuses on a white-hat GEO (Generative Engine Optimization) online hands-on training camp, led by Xuanzi, aimed at operators, business owners, and IP managers who want to capture AI large-model search traffic, with a zero-code, hands-on approach throughout. Unlike traditional SEO, it specifically solves: the problem that users now obtain information through Q&A AI such as Kimi, ERNIE Bot, and Tongyi Qianwen, while brands lack exposure within AI and bidding traffic costs are high; it focuses on long-term content infrastructure, white-hat compliance, monitorable data, and order-taking monetization. Its exclusive system is the SMART-GEO operations methodology, with a teaching framework built on knowledge graph patents.
The coaching camp revolves around the essential differences between AI search and traditional SEO, explaining core GEO metrics such as SOM share of voice, AI citation rate, and E-E-A-T trust standards, as well as the underlying principles of large-model RAG retrieval and knowledge graph matching, helping students understand brand exposure data in AI Q&A. The course has five core modules: underlying logic, content hands-on, channel layout, comprehensive conversion advanced, and practical refinement. From AI Q&A keyword library mining, structured content SOPs, and brand knowledge base construction, to layered layout of high-authority sources such as official websites, Zhihu, Xiaohongshu, industry media, and encyclopedias, and then to complete GEO project full-process simulation, AI traffic private-domain conversion path design, real enterprise case breakdowns, and data diagnosis and repair, it forms an executable learning path.
The course also explains the latest algorithm iteration adaptation playbooks of major domestic large models, overseas AI search GEO expansion, as well as B2B GEO service order-taking processes, pricing, and delivery standards, and includes two live broadcasts per month to follow up on new playbooks plus a lifelong industry resource community. It is suitable for operators, business owners, and IP managers who want to capture AI search traffic in a white-hat compliant way, build monitorable content assets, and find GEO service monetization opportunities to study systematically. When studying, it is recommended to combine your own industry to choose Q&A keyword libraries and source channels, complete research, database building, content, publishing, monitoring, and other steps in the order of the seven-step method, and use Q&A and case reviews to continuously optimize execution details, gradually forming a reusable GEO operations process.
💡 Learning Tip:The course content is based on industry practices at the time of publication. It is recommended to combine your study with the latest platform rules.