评论挖矿：跨竞品提炼类目级痛点与买家原话
Review mining — category pain points and buyer language
据公开博客：粘贴 30–50 条近期评论，抽出高频抱怨/喜爱、缺失功能与买家原话，用作 Listing 与 PPC 用语。
据公开帖摘要
作者强调评论是最大的公开买家语料；单品挖矿后，再对比三款竞品的评论摘要，找出「全品类共同抱怨」——那往往是新产品差异化切入点。
可复制 Prompt
Here are 40 customer reviews for [product name] on Amazon: [Paste reviews] Analyze these reviews and extract: 1. Top 5 complaints (with frequency) 2. Top 5 things customers love (with frequency) 3. Features customers wish existed but don't 4. Quality / durability concerns 5. Use cases the listing does not mention 6. Exact phrases customers use (for listing copy & PPC) Only cite phrases that appear in the pasted text.