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xiaohongshu-note-analyzer

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Original

English
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Translation

Chinese

小红书笔记分析器 (XiaoHongShu Note Analyzer)

Xiaohongshu Note Analyzer

对小红书笔记进行全方位分析，提供优化建议，提升内容质量和曝光率。
Comprehensive analysis of Xiaohongshu notes, providing optimization suggestions to improve content quality and exposure rate.

分析维度

Analysis Dimensions

  1. 关键词分析 — 搜索热度、关键词布局、标签优化
  2. 标题/首段吸引力 — 爆款标题元素、首图文案
  3. 敏感内容风险 — 违规词检测、限流风险评估
  4. 商业化程度 — 软广硬广识别、自然度评分
  5. 互动触发潜力 — 讨论点、分享动机、收藏价值
  6. 内容结构 — 排版、emoji使用、段落节奏
  1. Keyword Analysis — Search popularity, keyword layout, tag optimization
  2. Title/Opening Paragraph Attractiveness — Viral title elements, cover image copy
  3. Sensitive Content Risk — Violation word detection, traffic restriction risk assessment
  4. Commercialization Level — Soft/hard ad identification, naturalness scoring
  5. Interaction Trigger Potential — Discussion points, sharing motivation, collection value
  6. Content Structure — Formatting, emoji usage, paragraph rhythm

分析流程

Analysis Process

1. 提取笔记内容 → 标题、正文、标签、图片描述
2. 关键词分析 → 核心词、长尾词、布局检查
3. 敏感词扫描 → 违规风险、限流风险
4. 商业化评估 → 广告痕迹、自然度
5. 互动潜力评估 → 讨论点、情感共鸣
6. 生成优化建议 → 具体修改方案
1. Extract note content → Title, body text, tags, image descriptions
2. Keyword analysis → Core words, long-tail words, layout check
3. Sensitive word scanning → Violation risk, traffic restriction risk
4. Commercialization assessment → Ad traces, naturalness
5. Interaction potential assessment → Discussion points, emotional resonance
6. Generate optimization suggestions → Specific modification plans

1. 关键词分析

1. Keyword Analysis

检查要点

Check Points

维度优秀待改进
核心关键词标题+首段+正文+标签都包含仅出现1-2处
长尾关键词3-5个相关长尾词自然分布无长尾词或堆砌
标签数量5-10个相关标签<3个或>15个
关键词密度2-3%自然出现<1%或>5%堆砌
DimensionExcellentNeeds Improvement
Core KeywordsIncluded in title + opening paragraph + body text + tagsAppears only 1-2 times
Long-tail Keywords3-5 relevant long-tail words naturally distributedNo long-tail words or keyword stuffing
Number of Tags5-10 relevant tags<3 or >15 tags
Keyword Density2-3% natural occurrence<1% or >5% stuffing

关键词布局公式

Keyword Layout Formula

标题: 必含核心关键词 + 吸引词
首段(前50字): 核心关键词 + 痛点/好奇点
正文: 长尾关键词自然分布
标签: #核心词 #长尾词 #场景词 #人群词
详见 
references/keyword-strategy.md
Title: Must include core keyword + attractive word
Opening paragraph (first 50 words): Core keyword + pain point/curiosity point
Body text: Long-tail words naturally distributed
Tags: #core-word #long-tail-word #scene-word #crowd-word
See 
references/keyword-strategy.md

2. 标题/首段吸引力

2. Title/Opening Paragraph Attractiveness

爆款标题公式

Viral Title Formulas

类型公式示例
数字型数字+关键词+结果"5个技巧让你月瘦10斤"
痛点型痛点+解决方案"毛孔粗大？这个方法亲测有效"
好奇型悬念+关键词"闺蜜问我怎么突然变白的..."
对比型Before/After"用了这个精华，同事都问我怎么了"
权威型身份+干货"皮肤科医生自用的5款防晒"
情绪型强烈情绪词"后悔没早点知道！这个神器太绝了"
TypeFormulaExample
NumericNumber + Keyword + Result"5 Tips to Lose 10 Pounds a Month"
Pain PointPain Point + Solution"Large Pores? This Method Works for Me"
CuriositySuspense + Keyword"My Best Friend Asked How I Suddenly Got Fairer..."
ComparisonBefore/After"After Using This Serum, Colleagues Asked Me What Happened"
AuthorityIdentity + Dry Goods"5 Sunscreens Used by Dermatologists"
EmotionalStrong Emotional Words"Regret Not Knowing This Earlier! This Gadget is Amazing"

首段黄金50字

Golden 50 Words of Opening Paragraph

首段必须包含：
  • ✅ 核心关键词
  • ✅ 痛点/需求点
  • ✅ 吸引继续阅读的钩子
  • ✅ 与封面图呼应
详见 
references/title-formulas.md
The opening paragraph must include:
  • ✅ Core keyword
  • ✅ Pain point/need point
  • ✅ Hook to attract continued reading
  • ✅ Echo with cover image
See 
references/title-formulas.md

3. 敏感内容风险评估

3. Sensitive Content Risk Assessment

风险等级

Risk Levels

等级说明后果
🔴 高危明确违规词删帖/封号
🟠 中危灰色地带词限流/不推荐
🟡 低危可能触发审核延迟发布
🟢 安全无敏感内容正常推荐
LevelDescriptionConsequence
🔴 High RiskClear violation wordsPost deletion/account ban
🟠 Medium RiskGray area wordsTraffic restriction/no recommendation
🟡 Low RiskMay trigger reviewDelayed publication
🟢 SafeNo sensitive contentNormal recommendation

常见敏感类别

Common Sensitive Categories

  1. 医疗健康类 — 疾病名称、药品、治疗效果承诺
  2. 金融理财类 — 收益承诺、投资建议、借贷
  3. 政治敏感类 — 时政、领导人、敏感事件
  4. 虚假宣传类 — 最、第一、100%、绝对
  5. 引流违规类 — 微信号、外链、二维码暗示
  6. 低俗擦边类 — 性暗示、身材过度暴露
详见 
references/sensitive-words.md
  1. Medical & Health — Disease names, drugs, treatment effect promises
  2. Finance & Investment — Income promises, investment advice, lending
  3. Political Sensitivity — Current affairs, leaders, sensitive events
  4. False Advertising — Most, first, 100%, absolute
  5. Drainage Violation — WeChat IDs, external links, QR code hints
  6. Vulgar & Suggestive — Sexual innuendo, excessive body exposure
See 
references/sensitive-words.md

4. 商业化程度评估

4. Commercialization Level Assessment

自然度评分标准

Naturalness Scoring Standards

分数描述特征
9-10纯分享无品牌露出，真实体验
7-8软植入自然提及品牌，不刻意
5-6明显软广品牌多次出现，有推荐意图
3-4硬广明显推销，价格引导
1-2纯广告通篇产品介绍，无真实体验
ScoreDescriptionFeatures
9-10Pure sharingNo brand exposure, real experience
7-8Soft placementNaturally mentions brand, not deliberate
5-6Obvious soft adBrand appears multiple times, with recommendation intent
3-4Hard adObvious promotion, price guidance
1-2Pure adFull of product introductions, no real experience

降低商业感技巧

Tips to Reduce Commercial Sense

  • ✅ 先讲痛点/故事，后引出产品
  • ✅ 提及缺点（真实感）
  • ✅ 对比其他产品（客观感）
  • ✅ 强调个人体验而非产品功能
  • ❌ 避免价格、购买链接、促销信息
  • ❌ 避免品牌名在标题
  • ✅ Talk about pain points/stories first, then introduce the product
  • ✅ Mention disadvantages (authenticity)
  • ✅ Compare with other products (objectivity)
  • ✅ Emphasize personal experience rather than product functions
  • ❌ Avoid prices, purchase links, promotional information
  • ❌ Avoid brand names in titles

5. 互动触发潜力

5. Interaction Trigger Potential

讨论触发点

Discussion Trigger Points

类型方法示例
提问式结尾抛出问题"你们觉得哪个颜色更好看？"
争议式轻度争议观点"我觉得XX比XX好用，有人同意吗？"
求助式请求建议"姐妹们帮我看看选哪个！"
共鸣式引发情感共鸣"有没有和我一样的..."
抽奖式互动福利"评论区抽3位送同款"
TypeMethodExample
Question StyleRaise a question at the end"Which color do you think looks better?"
Controversial StyleMildly controversial opinion"I think XX is better than XX, does anyone agree?"
Help-seeking StyleRequest suggestions"Sisters, help me choose which one to pick!"
Resonance StyleTrigger emotional resonance"Is there anyone like me who..."
Lottery StyleInteractive benefits"3 lucky winners in the comment section will get the same product"

分享动机触发

Sharing Motivation Triggers

用户分享笔记的原因：
  1. 实用价值 — 干货教程、省钱攻略
  2. 社交货币 — 显得有品味/见识
  3. 情感共鸣 — "说出了我的心声"
  4. 收藏备用 — 清单、合集、测评
Reasons why users share notes:
  1. Practical Value — Dry goods tutorials, money-saving strategies
  2. Social Currency — Appear tasteful/knowledgeable
  3. Emotional Resonance — "Said what I was thinking"
  4. Collection for Later Use — Checklists, collections, reviews

收藏价值评估

Collection Value Assessment

高收藏内容特征：
  • ✅ 清单/合集形式
  • ✅ 步骤教程
  • ✅ 对比测评
  • ✅ 省钱/避坑指南
  • ✅ 信息密度高
Features of high-collection content:
  • ✅ Checklist/collection format
  • ✅ Step-by-step tutorials
  • ✅ Comparative reviews
  • ✅ Money-saving/pitfall avoidance guides
  • ✅ High information density

输出格式

Output Format

markdown
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markdown
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小红书笔记分析报告

Xiaohongshu Note Analysis Report

📊 综合评分: X/10

📊 Comprehensive Score: X/10

1️⃣ 关键词分析

1️⃣ Keyword Analysis

  • 核心关键词: [识别的关键词]
  • 关键词布局: ✅/❌ [评价]
  • 标签优化: [建议]
  • Core Keywords: [Identified Keywords]
  • Keyword Layout: ✅/❌ [Evaluation]
  • Tag Optimization: [Suggestions]

2️⃣ 标题/首段评估

2️⃣ Title/Opening Paragraph Assessment

  • 标题类型: [数字型/痛点型/...]
  • 吸引力评分: X/10
  • 优化建议: [具体建议]
  • Title Type: [Numeric/Pain Point/...]
  • Attractiveness Score: X/10
  • Optimization Suggestions: [Specific Suggestions]

3️⃣ 敏感内容风险

3️⃣ Sensitive Content Risk

  • 风险等级: 🟢/🟡/🟠/🔴
  • 检测到的敏感词: [列表]
  • 修改建议: [具体建议]
  • Risk Level: 🟢/🟡/🟠/🔴
  • Detected Sensitive Words: [List]
  • Modification Suggestions: [Specific Suggestions]

4️⃣ 商业化程度

4️⃣ Commercialization Level

  • 自然度评分: X/10
  • 商业痕迹: [分析]
  • 降低商业感建议: [具体建议]
  • Naturalness Score: X/10
  • Commercial Traces: [Analysis]
  • Suggestions to Reduce Commercial Sense: [Specific Suggestions]

5️⃣ 互动潜力

5️⃣ Interaction Potential

  • 讨论触发点: ✅/❌
  • 分享动机: [分析]
  • 收藏价值: X/10
  • Discussion Trigger Points: ✅/❌
  • Sharing Motivation: [Analysis]
  • Collection Value: X/10

6️⃣ 优化后版本

6️⃣ Optimized Version

[提供优化后的标题和首段]
[Provide optimized title and opening paragraph]

📝 修改优先级

📝 Modification Priority

  1. [最重要的修改]
  2. [次重要的修改]
  3. [可选优化]
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  1. [Most important modification]
  2. [Second most important modification]
  3. [Optional optimization]
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分析示例

Analysis Examples

详见 
references/analysis-examples.md
See 
references/analysis-examples.md