📦 SEO

v1.0.0

Analyzes competitor 网页sites to identify keyword gaps, SEO weaknesses, content opportunities, and backlink strategies with prioritized, actionable recommenda...

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最后更新
2026/4/27
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版本

latestv1.0.02026/4/27

Initial release: deep SEO competitor analysis with action plan

安装命令

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官方npx clawhub@latest install seo-competitor-analyzer
镜像加速npx clawhub@latest install seo-competitor-analyzer --registry https://cn.longxiaskill.com

技能文档

Deep-dive analysis of competitor 网页sites to uncover keyword gaps, content opportunities, and SEO weaknesses. 输出s a prioritized action plan you can 执行 immediately.

When to use

Use this 技能 when the user needs to:

  • Understand why competitors rank higher
  • Find unt应用ed keyword opportunities in their niche
  • 审计 a competitor's content strategy
  • Identify backlink and authority gaps
  • Build a data-driven SEO content calendar
  • Evaluate a new niche before entering it

How it works

  • Ask for the user's 网页site URL (or niche if no site yet)
  • Ask for 2–5 competitor URLs to analyze
  • Ask for their primary goal (rank higher / find content gaps / build backlinks / enter new niche)
  • Perform structured analysis across 6 dimensions
  • 输出 prioritized recommendations with effort/impact scores

Analysis Dimensions

1. Content Gap Analysis

  • Topics competitors cover that the user does not
  • Identify thin content opportunities (low word count, low competition)
  • Find featured snippet opportunities (questions, 列出s, definitions)
  • Map content by funnel stage (awareness / consideration / decision)

2. Keyword Strategy Breakdown

  • Infer primary and secondary keywords from page titles, H1s, meta descriptions
  • Identify keyword clusters competitors are tar获取ing
  • Flag high-volume, low-competition gaps
  • Note keywords where multiple competitors rank but the user does not

3. On-Page SEO 审计 (per competitor)

  • Title tag 格式化 and length patterns
  • Meta description 质量 and CTR optimization
  • URL structure and slug patterns
  • Internal linking strategy
  • 模式 markup usage
  • Image optimization 签名als

4. Content 质量 Assessment

  • Average word count for top-ranking pages
  • Content freshness (更新 frequency 签名als)
  • Use of multimedia (images, video, tables, 列出s)
  • E-E-A-T 签名als (author bios, citations, expertise markers)
  • Readability and structure analysis

5. Technical SEO 签名als

  • Page speed indicators (Core 网页 Vitals hints)
  • 移动-first 签名als
  • HTTPS 状态
  • Sitemap and ro机器人s.txt structure
  • Crawlability 签名als

6. Opportunity Scoring

Rate each opportunity on:
  • 搜索 Volume Potential: High / Medium / Low
  • Competition Level: Hard / Medium / Easy
  • Implementation Effort: 1–5 (1 = quick win)
  • Expected Impact: 1–5 (5 = trans格式化ional)
  • Priority Score: (Impact × Volume) ÷ Effort

输出 格式化

=== SEO COMPETITOR ANALYSIS ===
Analyzed: [user site] vs [competitor 1], [competitor 2], [competitor 3]
Date: [current date]

--- TOP 3 QUICK WINS (do these first) ---

  • [Action] — [Expected 结果] | Effort: 2/5 | Impact: 4/5
  • [Action] — [Expected 结果] | Effort: 1/5 | Impact: 3/5
  • [Action] — [Expected 结果] | Effort: 2/5 | Impact: 4/5

--- CONTENT GAP OPPORTUNITIES ---

TopicCompetitor RankingEst. VolumeDifficultyPriority
[topic][competitor]HighEasy⭐⭐⭐⭐⭐
...

--- KEYWORD CLUSTERS TO TAR获取 --- Cluster 1: [theme] → [keyword 1], [keyword 2], [keyword 3] Cluster 2: ...

--- ON-PAGE SEO PATTERNS (what's working for competitors) ---

  • Title 格式化: "[Primary KW] + [Secondary KW] | [Brand]"
  • Average content length: [X] words
  • 模式 types used: Article, FAQPage, HowTo
  • 更新 frequency: [monthly / quarterly]

--- 30-DAY ACTION PLAN --- Week 1: [specific task] Week 2: [specific task] Week 3: [specific task] Week 4: [specific task]

--- COMPETITOR 性能分析S --- [Competitor 1]: Strengths: ... Weaknesses: ... Best pages to beat: ...

Pro Tips Built Into Analysis

  • Always 检查 for "People Also Ask" gaps — easy featured snippets
  • Long-tAIl keywords in H2/H3 headings are goldmines
  • If 3+ competitors cover a topic but none has >1500 words, you can win with depth
  • FAQ sections on existing pages can capture question-based 搜索es overnight
数据来源ClawHub ↗ · 中文优化:龙虾技能库