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[Updated] 10x Growth Xiaohongshu Viral Summit: 2026 Latest AI + Automation Operations Practical Course

📚Video Course
📂Artificial Intelligence (AI)
🕒Last updated: 09/23/2026
👥Entrepreneurs / Self-media creators / Cross-border e-commerce sellers / Side-hustlers
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Description
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10x Growth Xiaohongshu Viral Summit: 2026 Latest AI + Automation Operations Practical Course

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📅 Release Date: April 10, 2026

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🏷️ Course Type: Xiaohongshu operations, AI automation, e-commerce hits, traffic growth, team management

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🎯 Course Source: Recorded from Dai Xiaopang's March 27-29 offline course

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⏱️ Core promise: achieve 10x human-efficiency growth and doubled profit

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📁 Course materials: HD recording + full set of spreadsheets/PPT/workflow files

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In 2026, when Xiaohongshu e-commerce competition is white-hot, relying purely on headcount and experience/intuition can no longer break the growth bottleneck. This course comes from industry hands-on mentor Dai Xiaopang's March offline blowout summit, and for the first time systematically reveals an "automated growth engine" that deeply integrates AI into Xiaohongshu operations' full chain. It's not just tool teaching — it's a proven, deployable business-growth system.

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The course's core value is "cost reduction and efficiency" and "decision upgrade." You'll learn how to build 10 AI "virtual employees", respectively handling selection, content creation, data analysis, and operations decisions, lifting team human efficiency 10x or more. From AI-teardown of hits to build a scientific "scorecard", to AI cross-platform mining of blue-ocean pain points for "dimension-reduction strikes", the course thoroughly changes your traditional feel-based content mode, making hit production a replicable, predictable assembly-line job.

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At the hands-on level, the course covers the whole process from 0-to-1 cold start to matrix scaling: including the latest-algorithm-based hit-product selection strategy, the differentiated plays of high-AOV vs. low-price traffic interception, the viral-article creation SOP that beats peers, and the high-ROI usage guide for delivery tools like Juguang and Chengfeng. More importantly, the course provides a complete team-management and automation SOP, teaching you how to build an efficient team and use AI collaboration hubs like Claude Skills to build a million-a-month automated operations closed loop.

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Whether a small/medium merchant struggling on Xiaohongshu, a brand operator eager to break through the traffic ceiling, or a brand operator eager to drive business growth with technology, this course will provide you with 2026's most cutting-edge, most practical solutions, helping you achieve deterministic growth in Xiaohongshu's red ocean and build your own automated profit fortress.

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Core course modules and content overview

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[Module 1] Mindset rebuild: 2026 Xiaohongshu growth underlying logic and AI mindset

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  • 1. Platform mindset and account fundamentals: 0-to-1 account cold start and warming strategy
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  • 2. Xiaohongshu's latest recommendation algorithm analysis and traffic underlying logic
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  • 3. The core mindset and framework for AI landing on Xiaohongshu in 2026
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[Module 2] Hit engine: AI-driven product selection and content production

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  • 4. The AI selection employee: the logic and hands-on of precisely sniping blue-ocean hits
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  • 5. Hit material library setup: the complete SOP for finding, tearing down, copying, and beating material
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  • 6. The AI content employee: batch-generating viral copy, scripts, and images
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  • 7. Build a scientific "scorecard": AI teardown of hits and assembly-line content production
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[Module 3] Traffic amplification: refined operations and matrix growth

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  • 8. Note intervention and algorithm restart: keep old notes blowing up
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  • 9. Multi-product multi-shop matrix blowout strategy and SOP
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  • 10. Chengfeng/Juguang delivery: high-ROI delivery strategy and fast traffic-grabbing techniques
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  • 11. Violation handling and shop score maintenance, full plan
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[Module 4] System build: automated workflows and team management

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  • 12. The Xiaohongshu AI content factory: build an automated content production line
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  • 13. Claude Skills hands-on: build your own AI decision assistant and collaboration hub
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  • 14. High-performance team setup: role SOPs, incentive systems, and staffing fission
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  • 15. The 0-to-million case full-flow SOP post-mortem (KOS plays, high-AOV plays)
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[April 13, 2026] updated content

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Updated: April 13, 2026

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New chapters:

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  1. Xiao Fei's quick meeting
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📋 Update highlights:

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  • Deeply analyzes the five core problems causing no orders or poor traffic in content creation (like Xiaohongshu notes): the product itself is weak, can't find the right hit template, writes/copies the hit wrong, note details are incomplete, and following the wrong benchmark account.
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  • Details how to correctly find hit templates — including timeliness (last 3-7 days, last 1 month), data standards (low-follower benchmarks, 100-like/1000-like covers), and bringing in 10%-20% cross-industry templates.
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  • Emphasizes key principles when "copying" hits: restore the hit point 1:1, learn basic iteration (one-to-many, scene extension, format conversion), and avoid beginners' premature AI optimization and casual changes to core keywords.
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  • Points out important note details beyond cover/title: the logical order of images 2-6, comment-section operations (pinned comment, interaction) — these directly affect user dwell and conversion.
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  • Through hands-on cases like the "e-bike wind shield," demonstrates how to analyze product demand, find and collect in/out-of-industry hit templates, optimize products with search terms, and make the matching paid-delivery and product-matrix strategy.
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  • Clarifies the success path: on the basis of the right product, right material, and correct execution, the core is speeding up product testing and learning data analysis (interaction, conversion, delivery) — then leave the rest to time.
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  • Provides concrete diagnoses for different students' accounts, pointing out problems in their comment-section operations, pinned-note setup, and template choice, and giving optimization directions.
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[September 23, 2026] updated content

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🕒 Updated: September 23, 2026

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New chapters:

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  1. Q&A special session
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📋 Update highlights:

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  • Collectively answers common questions students hit during course learning
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  • gives concrete solution ideas for operation details and hands-on sticking points
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  • supplements extended questions and notes not covered in the course
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  • sorting out error-prone steps, helping students reduce trial and lift landing efficiency
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💡 Learning note:
\ This course content is based on the March 2026 offline hands-on share, including the Xiaohongshu platform rules, AI-tool ecosystem, and market practice of that time. Platform algorithms, AI tools, and the business environment are all rapidly iterating. When learning, focus on mastering its methodology, system framework, and underlying logic, and flexibly adjust and apply the course's strategies and SOPs in light of the latest platform policies, tool features, and market situation when you learn.

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