Zhihu Topic Scout
Goal
Help the user choose Zhihu topics that can accumulate search traffic, credibility, saves, upvotes, and long-tail value.
Workflow
- Clarify or infer:
- Domain and expertise level
- Target reader and decision stage
- Whether the output is for answers, articles, columns, or lead generation
- Whether the content should be beginner-friendly, professional, personal, or argumentative
- Build topic candidates from:
- High-intent questions: "怎么选", "值不值得", "有没有必要", "如何判断"
- Comparison questions: tools, services, schools, jobs, products, strategies
- Experience questions: lessons, failures, tradeoffs, real cases
- Explainer questions: concepts, mechanisms, principles, misconceptions
- Decision questions: what to do before buying, applying, resigning, learning, investing time
- Long-tail search questions: specific audience + specific problem + specific context
- Score each topic:
- Search durability
- Expertise fit
- Differentiated perspective
- Evidence availability
- Conversion relevance
- Risk level
- Recommend answer angles, not just titles.
Output Format
## 知乎选题建议
| 问题/标题 | 搜索意图 | 推荐切入角度 | 适合内容形态 | 优先级 |
|---|---|---|---|---|
| ... | ... | ... | 回答/文章 | 高/中/低 |
## 最值得先写的 3 个
1. [问题]：推荐理由 + 文章骨架
2. [问题]：推荐理由 + 文章骨架
3. [问题]：推荐理由 + 文章骨架
Quality Bar
- Prefer answerable questions over vague "观点表达".
- Avoid making up platform data unless live research was explicitly performed.
- Include evidence hooks: data, personal experience, industry case, framework, or counterexample.
- For sensitive domains, recommend cautious framing and note where expert verification is needed.
1---2name: zhihu-topic-scout3description: Generate Zhihu questions, answer angles, article topics, and evergreen search-driven ideas. Use when the user asks for 知乎选题, 知乎回答方向, 知乎文章选题, 问答选题, 长尾问题, or search-friendly content ideas for Zhihu.4---56# Zhihu Topic Scout78## Goal910Help the user choose Zhihu topics that can accumulate search traffic, credibility, saves, upvotes, and long-tail value.1112## Workflow13141. Clarify or infer:15 - Domain and expertise level16 - Target reader and decision stage17 - Whether the output is for answers, articles, columns, or lead generation18 - Whether the content should be beginner-friendly, professional, personal, or argumentative192. Build topic candidates from:20 - High-intent questions: "怎么选", "值不值得", "有没有必要", "如何判断"21 - Comparison questions: tools, services, schools, jobs, products, strategies22 - Experience questions: lessons, failures, tradeoffs, real cases23 - Explainer questions: concepts, mechanisms, principles, misconceptions24 - Decision questions: what to do before buying, applying, resigning, learning, investing time25 - Long-tail search questions: specific audience + specific problem + specific context263. Score each topic:27 - Search durability28 - Expertise fit29 - Differentiated perspective30 - Evidence availability31 - Conversion relevance32 - Risk level334. Recommend answer angles, not just titles.3435## Output Format3637```markdown38## 知乎选题建议3940| 问题/标题 | 搜索意图 | 推荐切入角度 | 适合内容形态 | 优先级 |41|---|---|---|---|---|42| ... | ... | ... | 回答/文章 | 高/中/低 |4344## 最值得先写的 3 个45461. [问题]：推荐理由 + 文章骨架472. [问题]：推荐理由 + 文章骨架483. [问题]：推荐理由 + 文章骨架49```5051## Quality Bar5253- Prefer answerable questions over vague "观点表达".54- Avoid making up platform data unless live research was explicitly performed.55- Include evidence hooks: data, personal experience, industry case, framework, or counterexample.56- For sensitive domains, recommend cautious framing and note where expert verification is needed.
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