小红书账号诊断

Have you ever been puzzled: Why isn't your follower count growing despite posting numerous notes? Why does your carefully crafted content receive so little engagement? This AI skill is designed for Xiaohongshu creators and operators, helping you conduct an in-depth analysis of your account's health from a data perspective. Input your basic account information, recent data screenshots, or key metrics (such as follower growth, note engagement rate, conversion data, etc.), and it will automatically identify common issues like unclear positioning, weak topic selection, or monetization difficulties. It then generates a structured diagnostic report containing specific data insights and actionable recommendations.

Using it is very simple: You just need to provide account-related data (e.g., note data from the last 30 days, screenshots of follower demographics, competitor account names, etc.). The AI will perform a multi-dimensional analysis based on this information, covering aspects like account positioning clarity, content topic trends, follower activity, and commercial value assessment. After the diagnosis, it outputs a report including a list of problems, priority rankings, optimization paths, and an action checklist. You can even ask follow-up questions for specific details, such as "How to improve engagement rate?" or "How to optimize the monetization path?"

It is suitable for: Individual Xiaohongshu creators, brand operators, content managers at MCN agencies, and entrepreneurs looking to achieve commercial success through Xiaohongshu. Whether you're a beginner just starting out or a seasoned user hitting a growth plateau, this skill can help you quickly pinpoint core issues and avoid blind trial-and-error.

Usage suggestion: For each analysis, try to provide complete data, such as note data from the last 30 days, follower trend changes, competitor account information, etc., to ensure more accurate diagnostic results. Note that the AI cannot access your backend data directly; you need to actively provide screenshots or self-compiled key data. It's recommended to perform a diagnosis regularly (e.g., weekly or monthly) to track optimization effectiveness.