serp-analysis by aaron-he-zhu/seo-geo-claude-skills
npx skills add https://github.com/aaron-he-zhu/seo-geo-claude-skills --skill serp-analysisSEO& GEO Skills Library · 20 个 SEO + GEO 技能 · 一键安装所有:
npx skills add aaron-he-zhu/seo-geo-claude-skills
研究 · keyword-research · competitor-analysis · serp-analysis · content-gap-analysis
构建 · seo-content-writer · geo-content-optimizer · meta-tags-optimizer · schema-markup-generator
优化 · on-page-seo-auditor · · ·
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此技能用于分析搜索引擎结果页面,以揭示哪些内容有助于排名、出现了哪些 SERP 功能以及是什么触发了 AI 生成的答案。在创建内容之前,先了解战场情况。
Analyze the SERP for [keyword]
What does it take to rank for [keyword]?
Analyze featured snippet opportunities for [keyword list]
Which of these keywords trigger AI Overviews? [keyword list]
Why does [URL] rank #1 for [keyword]?
工具类别占位符请参见 CONNECTORS.md。
连接了 ~~SEO 工具 + ~~搜索控制台 + ~~AI 监控器时: 自动获取目标关键词的 SERP 快照,提取排名页面指标(域名权威、反向链接、内容长度),拉取 SERP 功能数据,并使用 ~~AI 监控器检查 AI 概览是否存在。可以自动检索历史 SERP 变化数据和移动端与桌面端的差异。
仅使用手动数据时: 请用户提供:
使用提供的数据进行完整分析。在输出中注明哪些指标来自自动收集,哪些来自用户提供的数据。
当用户请求 SERP 分析时:
必要时澄清:
* 要分析的目标关键词
* 搜索位置/语言
* 设备类型(移动端/桌面端)
* 关于 SERP 的具体问题
2. 映射 SERP 构成
记录结果页面上出现的所有元素:AI 概览、广告、精选摘要、自然搜索结果、PAA、知识面板、图片包、视频结果、本地包、购物结果、新闻结果、网站链接和相关搜索。
对于前 10 个结果中的每一个,记录:URL、域名、域名权威、内容类型、字数、发布/更新日期、页面内因素(标题、元描述、H1、URL 结构)、内容结构(标题、媒体、表格、FAQ)、预估指标(反向链接、引用域名)以及它排名靠前的原因。
分析前 5 个结果的共同特征:字数、域名权威、反向链接、内容新鲜度、HTTPS、移动端优化。记录内容格式分布、域名类型分布和关键成功因素。
对于每个存在的 SERP 功能:分析当前的持有者、内容格式和获胜策略。涵盖精选摘要(类型、内容、获胜策略)、PAA(问题、当前答案、优化方法)和 AI 概览(引用的来源、内容模式、引用策略)。
根据 SERP 构成确认主要意图。记录证据、意图细分百分比以及内容格式影响(格式、语气、行动号召)。
根据以下因素对整体难度进行评分(1-100):前 10 名的域名权威、页面权威、所需反向链接、内容质量门槛和 SERP 稳定性。为新网站、成长型网站和成熟网站提供现实的评估,以及更简单的替代方案。
生成包含以下内容的摘要:关键发现、排名所需的内容要求(最低要求 + 差异化因素)、SERP 功能策略、推荐的内容大纲和后续步骤。
参考:每个步骤的详细模板请参见 references/analysis-templates.md。
参考:分析 "how to start a podcast" 的 SERP 的完整示例,请参见 references/example-report.md。
Compare SERPs for [keyword 1], [keyword 2], [keyword 3]
How has the SERP for [keyword] changed over time?
Compare SERP for [keyword] in [location 1] vs [location 2]
Analyze mobile vs desktop SERP differences for [keyword]
每周安装次数
779
代码仓库
GitHub 星标数
352
首次出现
Jan 23, 2026
安全审计
安装于
opencode680
gemini-cli661
codex654
github-copilot626
cursor599
claude-code580
SEO& GEO Skills Library · 20 skills for SEO + GEO · Install all:
npx skills add aaron-he-zhu/seo-geo-claude-skills
Research · keyword-research · competitor-analysis · serp-analysis · content-gap-analysis
Build · seo-content-writer · geo-content-optimizer · meta-tags-optimizer · schema-markup-generator
Optimize · on-page-seo-auditor · technical-seo-checker · internal-linking-optimizer · content-refresher
Monitor · rank-tracker · backlink-analyzer · performance-reporter · alert-manager
Cross-cutting · content-quality-auditor · domain-authority-auditor · entity-optimizer · memory-management
This skill analyzes Search Engine Results Pages to reveal what's working for ranking content, which SERP features appear, and what triggers AI-generated answers. Understand the battlefield before creating content.
Analyze the SERP for [keyword]
What does it take to rank for [keyword]?
Analyze featured snippet opportunities for [keyword list]
Which of these keywords trigger AI Overviews? [keyword list]
Why does [URL] rank #1 for [keyword]?
See CONNECTORS.md for tool category placeholders.
With ~~SEO tool + ~~search console + ~~AI monitor connected: Automatically fetch SERP snapshots for target keywords, extract ranking page metrics (domain authority, backlinks, content length), pull SERP feature data, and check AI Overview presence using ~~AI monitor. Historical SERP change data and mobile vs. desktop variations can be retrieved automatically.
With manual data only: Ask the user to provide:
Proceed with the full analysis using provided data. Note in the output which metrics are from automated collection vs. user-provided data.
When a user requests SERP analysis:
Clarify if needed:
* Target keyword(s) to analyze
* Search location/language
* Device type (mobile/desktop)
* Specific questions about the SERP
2. Map SERP Composition
Document all elements appearing on the results page: AI Overview, ads, featured snippet, organic results, PAA, knowledge panel, image pack, video results, local pack, shopping results, news results, sitelinks, and related searches.
For each of the top 10 results, document: URL, domain, domain authority, content type, word count, publish/update dates, on-page factors (title, meta description, H1, URL structure), content structure (headings, media, tables, FAQ), estimated metrics (backlinks, referring domains), and why it ranks.
Analyze common characteristics across top 5 results: word count, domain authority, backlinks, content freshness, HTTPS, mobile optimization. Document content format distribution, domain type distribution, and key success factors.
For each present SERP feature: analyze the current holder, content format, and strategy to win. Cover Featured Snippet (type, content, winning strategy), PAA (questions, current answers, optimization approach), and AI Overview (sources cited, content patterns, citation strategy).
Confirm primary intent from SERP composition. Document evidence, intent breakdown percentages, and content format implications (format, tone, CTA).
Score overall difficulty (1-100) based on: top 10 domain authority, page authority, backlinks required, content quality bar, and SERP stability. Provide realistic assessments for new, growing, and established sites, plus easier alternatives.
Produce a summary with: Key Findings, Content Requirements to Rank (minimum requirements + differentiators), SERP Feature Strategy, Recommended Content Outline, and Next Steps.
Reference : See references/analysis-templates.md for detailed templates for each step.
Reference : See references/example-report.md for a complete example analyzing the SERP for "how to start a podcast".
Compare SERPs for [keyword 1], [keyword 2], [keyword 3]
How has the SERP for [keyword] changed over time?
Compare SERP for [keyword] in [location 1] vs [location 2]
Analyze mobile vs desktop SERP differences for [keyword]
Weekly Installs
779
Repository
GitHub Stars
352
First Seen
Jan 23, 2026
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Installed on
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claude-code580
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