AI+GEO hands-on coaching camp October 2026, GEO practical growth course, capture AI large-model search traffic, from being seen to being chosen



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🕒Last updated: 10/27/2026
🎯AI
👥Entrepreneurs / Self-media creators / Cross-border e-commerce sellers / Side-hustlers

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Updated October 27

Flywheel Club (Flywheel AI/AIGrowthClub) focuses on 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, zero-code and hands-on throughout. Unlike traditional SEO, it specifically solves: users now get information through Q&A AI such as Kimi, ERNIE Bot, and Tongyi Qianwen, brands lack in-AI exposure, and paid traffic costs are high; it focuses on long-term content infrastructure, white-hat compliance, monitorable data, and order-taking monetization. Exclusive system: SMART-GEO operating methodology, with a teaching framework built on a knowledge graph patent.

Coaching camp introduction

Unlike traditional SEO, it specifically solves: users now get information through Q&A AI such as Kimi, ERNIE Bot, and Tongyi Qianwen, brands lack in-AI exposure, and paid traffic costs are high; it focuses on long-term content building, white-hat compliance, monitorable data, and order-taking monetization.

Exclusive system: SMART-GEO operating methodology, with a teaching framework built on a knowledge graph patent.

Five core course modules

Module 1: Underlying logic

- Essential differences between AI search and traditional SEO, changes in traffic logic

- Core GEO metrics: SOM share of voice, AI citation rate, E-E-A-T trust standards

- Underlying principles of large-model RAG retrieval and knowledge graph matching

- Basic operation of the self-developed GEO monitoring system, understand brand AI exposure data

Module 2: Content hands-on

- AI Q&A keyword mining: distinguish traditional keywords from large-model question phrasing

- High-citation structured content SOP, adapt to large-model crawling rules

- Brand knowledge base building: standardized production of product scripts and reputation content

- Content weight optimization, avoid being filtered by AI, reduce homogenization

Module 3: Channel layout

- Tiered layout of high-weight sources: official website, Zhihu, Xiaohongshu, industry media, encyclopedia, etc.

- Multi-platform coordinated feeding strategy to boost brand AI exposure across all channels

- Monitoring tool practice: track how content from each channel is indexed by different large models

- AI retrieval defense plan for negative public opinion

Module 4: Comprehensive conversion advanced

- Full GEO project process simulation: from research -> content -> channel distribution -> data review

- AI traffic private-domain conversion path design, landing page script adaptation

- Real enterprise case breakdown (education and training, consulting, software, consumer goods)

- Data diagnosis: repair plans for low AI recommendation rate, no indexing, and lagging rankings

Module 5: Practical refinement

- Adaptation playbook for the latest algorithm iterations of major domestic large models

- Overseas AI search GEO expansion (Claude, GPT series)

- B2B GEO service order-taking process, pricing, delivery standards

- 2 live streams per month to follow new playbooks, lifetime industry resource community

Course Content

[1]-Cognition|First understand the consumer decision process

[2]-Cognition|Introduction to three industry cases

[3]-Seven-step method 1|Set the bullseye: four tags to lock your precise customers and conversion path

[4]-Seven-step method 2|Find questions: users' questions on AI are your opportunity map

[5]-Seven-step method 3|Do research: use AI logic to break down prompts and competitors

[6]-Seven-step method 4|Build a knowledge base: a content ammunition depot that gives AI citable evidence

[7]-Seven-step method 5|Build a content system: article structure, titles, and bullseye embedding

[8]–Seven-Step Method 5 | Build a content system: use AI to automate the entire writing workflow

[9]–Seven-Step Method 5 · Content Case (Advanced) Question Combinations and Content Strategy

[10]–Seven-Step Method 5 · Content Case (Advanced) Three-Layer Reusable Content System

[11]–Seven-Step Method 5 · Content Case (Advanced) Marketing Funnel Design

[12]–Seven-Step Method 6 | Publishing and Distribution: Physical Sources, Channel Selection, and Publishing Cadence

[13]–Seven-Step Method 2 | Monitoring and Tracking: Five Things to Watch for Results + Conversion Attribution Feedback

[14]–Q&A Tube: Troubleshooting Blockers to Quickly Pinpoint Exactly Which Step Your Industry Is Stuck At

[15.1]–Senior Kaikai - Customer Acquisition and Sales Techniques

[15.2]–Teacher Daxi - GEO Service Package Introduction

[16.1]–[Feilunhui GEO] Project Hands-On Practice Version

[16.2]–[Feilunhui GEO] Project Hands-On Practice Version - Review 1

[16.3]–[Feilunhui GEO] Project Hands-On Practice Version - Review 2

[17.1]–Case Review and Learning - Catering Industry (Local Life and Travel)

[17.2]–Project Review and Learning - Manufacturing

Supporting Study Materials

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