In Xiaohongshu, AI is used as a music track, with 57,000 fans, and the merchant simply earns 11,000 + (with step-by-step tutorial)
In Xiaohongshu, AI is used as a music track, with 57,000 fans, and the merchant simply earns 11,000 + (with babysitter-level tutorial)
Monetization Angle
This guide explains In Xiaohongshu, AI is used as a music track, with 57,000 fans, and the merchant simply earns 11,000 + (with step-by-step tutorial), including its monetization angle, target audience, workflow, and practical execution lessons.
The commercial logic centers on using music-led content to earn attention on Xiaohongshu, turning that attention into revenue through subscriptions, services, ads, affiliate offers, digital products, or other repeatable monetization paths. Official page check (https://www.xiaohongshu.com): Top navigation consists of 发现 (Discover), RED, 直播 (Live), 发布 (Post), 通知 (Notifications) and 消息 (Messages).
Best For
This case is best suited for creators and growth operators who want to package AI capabilities into a clear content or product workflow and improve conversion from traffic to revenue.
Difficulty
Moderate. The work usually involves selecting the right AI tools, testing prompts or production steps, refining positioning, and iterating until the format is stable enough to scale.
Workflow
Use In Xiaohongshu, AI is used as a music track, with 57,000 fans, and the merchant simply earns 11,000 + (with step-by-step tutorial) as the core creative or product angle, then shape it into a workflow that fits Xiaohongshu.
- Define the user problem, audience desire, or attention trigger that makes the case valuable.
- Choose the AI tools, assets, prompts, and supporting platforms needed for production.
- Build a first version of the music-led content workflow and make the output simple enough to repeat consistently.
- Package the result with a strong title, hook, thumbnail, or offer so the value is immediately visible.
- Publish, test, and optimize on Xiaohongshu based on saves, watch time, clicks, comments, or conversions.
- Turn validated demand into revenue with a repeatable offer such as services, templates, memberships, software access, or partnerships.
Case Review
The strength of this case is that it uses a focused AI angle to make music-led content easier to understand, easier to distribute, and easier to monetize.
Its main risk is that platform distribution, audience taste, and tool quality can change quickly, so the workflow works best when it is updated continuously instead of treated as a one-time tactic.
Tools Used
- Core AI generation or automation tools for creating the main output.
- A publishing or distribution stack centered on Xiaohongshu. As its official page puts it: The official description positions it as a place to share photos and videos, swap shopping insights, record life stories, and "和最会生活的人做朋友" (befriend the people who live best) (https://www.xiaohongshu.com)
- Analytics, editing, and asset-management tools for iteration and scaling.
Summary
The key takeaway from In Xiaohongshu, AI is used as a music track, with 57,000 fans, and the merchant simply earns 11,000 + (with step-by-step tutorial) is that a narrowly defined AI workflow can become commercially valuable when it solves a visible problem, fits a distribution channel, and is packaged into a repeatable operating system.