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Agent Skill · 研究检索

seo-geo(SEO GEO 搜索)

seo-geo 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

seo-geo 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为调用外部服务;许可证信息还不明确,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 4,438。

总安装 32,448周安装 1,289GitHub Stars 5,706下载 10,504核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:seo-geo(SEO GEO 搜索)
来源仓库:https://github.com/agricidaniel/claude-seo
仓库路径:skills/seo-geo
安装命令:
npx skills add https://github.com/agricidaniel/claude-seo --skill seo-geo
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/agricidaniel/claude-seo --skill seo-geo

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

提供地理优化与 AI 搜索相关的关键统计数据和研究洞察,辅助品牌可见性策略制定。适用于分析 AI Overviews 覆盖范围、品牌提及与 AI 引用之间的相关性等场景。通过 npx 命令从指定仓库安装,需结合原始 README 了解具体用法和信号指标。建议确认维护状态及是否会触发联网或数据导出,避免在敏感环境中使用。

seo-geo 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/seo-geo

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/agricidaniel/claude-seo --skill seo-geo;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要调用外部服务,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

seo-geo 怎么安装?

在终端执行 npx skills add https://github.com/agricidaniel/claude-seo --skill seo-geo。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

seo-geo 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

seo-geo 需要什么权限?

权限级别是调用外部服务。该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

seo-geo 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

seo-geo 用的人多吗?

公开数据是累计安装 32,448 次,近一周安装 1,289 次,下载 10,504 次,GitHub 5,706 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

seo-geo 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 来源仓库有 5,706 星,维护活跃度相对可查。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
seo-geo

SEO GEO 搜索 · 本页

32,4485,706调用外部服务未明确有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

AI Search / GEO Optimization (February 2026)

Key Statistics

MetricValueSource
AI Overviews reach1.5 billion users/month across 200+ countriesGoogle
AI Overviews query coverage50%+ of all queriesIndustry data
AI-referred sessions growth527% (Jan-May 2025)SparkToro
ChatGPT weekly active users900 millionOpenAI
Perplexity monthly queries500+ millionPerplexity

Critical Insight: Brand Mentions > Backlinks

Brand mentions correlate 3x more strongly with AI visibility than backlinks. (Ahrefs December 2025 study of 75,000 brands)

SignalCorrelation with AI Citations
YouTube mentions~0.737 (strongest)
Reddit mentionsHigh
Wikipedia presenceHigh
LinkedIn presenceModerate
Domain Rating (backlinks)~0.266 (weak)

Only 11% of domains are cited by both ChatGPT and Google AI Overviews for the same query, so platform-specific optimization is essential.


GEO Analysis Criteria (Updated)

1. Citability Score (25%)

Optimal passage length: 134-167 words for AI citation.

Strong signals:

  • Clear, quotable sentences with specific facts/statistics
  • Self-contained answer blocks (can be extracted without context)
  • Direct answer in first 40-60 words of section
  • Claims attributed with specific sources
  • Definitions following "X is..." or "X refers to..." patterns
  • Unique data points not found elsewhere

Weak signals:

  • Vague, general statements
  • Opinion without evidence
  • Buried conclusions
  • No specific data points

2. Structural Readability (20%)

92% of AI Overview citations come from top-10 ranking pages, but 47% come from pages ranking below position 5, demonstrating different selection logic.

Strong signals:

  • Clean H1->H2->H3 heading hierarchy
  • Question-based headings (matches query patterns)
  • Short paragraphs (2-4 sentences)
  • Tables for comparative data
  • Ordered/unordered lists for step-by-step or multi-item content
  • FAQ sections with clear Q&A format

Weak signals:

  • Wall of text with no structure
  • Inconsistent heading hierarchy
  • No lists or tables
  • Information buried in paragraphs

3. Multi-Modal Content (15%)

Content with multi-modal elements sees 156% higher selection rates.

Check for:

  • Text + relevant images
  • Video content (embedded or linked)
  • Infographics and charts
  • Interactive elements (calculators, tools)
  • Structured data supporting media

4. Authority & Brand Signals (20%)

Strong signals:

  • Author byline with credentials
  • Publication date and last-updated date
  • Citations to primary sources (studies, official docs, data)
  • Organization credentials and affiliations
  • Expert quotes with attribution
  • Entity presence in Wikipedia, Wikidata
  • Mentions on Reddit, YouTube, LinkedIn

Weak signals:

  • Anonymous authorship
  • No dates
  • No sources cited
  • No brand presence across platforms

5. Technical Accessibility (20%)

AI crawlers do NOT execute JavaScript. Server-side rendering is critical.

Check for:

  • Server-side rendering (SSR) vs client-only content
  • AI crawler access in robots.txt
  • llms.txt file presence and configuration
  • RSL 1.0 licensing terms

AI Crawler Detection

Check robots.txt for these AI crawlers:

CrawlerOwnerPurpose
GPTBotOpenAIChatGPT web search
OAI-SearchBotOpenAIOpenAI search features
ChatGPT-UserOpenAIChatGPT browsing
ClaudeBotAnthropicClaude web features
PerplexityBotPerplexityPerplexity AI search
CCBotCommon CrawlTraining data (often blocked)
anthropic-aiAnthropicClaude training
BytespiderByteDanceTikTok/Douyin AI
cohere-aiCohereCohere models

Recommendation: Allow GPTBot, OAI-SearchBot, ClaudeBot, PerplexityBot for AI search visibility. Block CCBot and training crawlers if desired.


llms.txt Standard

The emerging llms.txt standard provides AI crawlers with structured content guidance.

Location: /llms.txt (root of domain)

Format:

# Title of site
> Brief description

## Main sections
- [Page title](url): Description
- [Another page](url): Description

## Optional: Key facts
- Fact 1
- Fact 2

Check for:

  • Presence of /llms.txt
  • Structured content guidance
  • Key page highlights
  • Contact/authority information

RSL 1.0 (Really Simple Licensing)

New standard (December 2025) for machine-readable AI licensing terms.

Backed by: Reddit, Yahoo, Medium, Quora, Cloudflare, Akamai, Creative Commons

Check for: RSL implementation and appropriate licensing terms.


Platform-Specific Optimization

PlatformKey Citation SourcesOptimization Focus
Google AI OverviewsTop-10 ranking pages (92%)Traditional SEO + passage optimization
ChatGPTWikipedia (47.9%), Reddit (11.3%)Entity presence, authoritative sources
PerplexityReddit (46.7%), WikipediaCommunity validation, discussions
Bing CopilotBing index, authoritative sitesBing SEO, IndexNow

Output

Generate GEO-ANALYSIS.md with:

  1. GEO Readiness Score: XX/100
  2. Platform breakdown (Google AIO, ChatGPT, Perplexity scores)
  3. AI Crawler Access Status (which crawlers allowed/blocked)
  4. llms.txt Status (present, missing, recommendations)
  5. Brand Mention Analysis (presence on Wikipedia, Reddit, YouTube, LinkedIn)
  6. Passage-Level Citability (optimal 134-167 word blocks identified)
  7. Server-Side Rendering Check (JavaScript dependency analysis)
  8. Top 5 Highest-Impact Changes
  9. Schema Recommendations (for AI discoverability)
  10. Content Reformatting Suggestions (specific passages to rewrite)

Quick Wins

  1. Add "What is [topic]?" definition in first 60 words
  2. Create 134-167 word self-contained answer blocks
  3. Add question-based H2/H3 headings
  4. Include specific statistics with sources
  5. Add publication/update dates
  6. Implement Person schema for authors
  7. Allow key AI crawlers in robots.txt

Medium Effort

  1. Create /llms.txt file
  2. Add author bio with credentials + Wikipedia/LinkedIn links
  3. Ensure server-side rendering for key content
  4. Build entity presence on Reddit, YouTube
  5. Add comparison tables with data
  6. Implement FAQ sections (structured, not schema for commercial sites)

High Impact

  1. Create original research/surveys (unique citability)
  2. Build Wikipedia presence for brand/key people
  3. Establish YouTube channel with content mentions
  4. Implement comprehensive entity linking (sameAs across platforms)
  5. Develop unique tools or calculators

DataForSEO Integration (Optional)

If DataForSEO MCP tools are available, use ai_optimization_chat_gpt_scraper to check what ChatGPT web search returns for target queries (real GEO visibility check) and ai_opt_llm_ment_search with ai_opt_llm_ment_top_domains for LLM mention tracking across AI platforms.

Error Handling

ScenarioAction
URL unreachable (DNS failure, connection refused)Report the error clearly. Do not guess site content. Suggest the user verify the URL and try again.
AI crawlers blocked by robots.txtReport exactly which crawlers are blocked and which are allowed. Provide specific robots.txt directives to add for enabling AI search visibility.
No llms.txt foundNote the absence and provide a ready-to-use llms.txt template based on the site's content structure.
No structured data detectedReport the gap and provide specific schema recommendations (Article, Organization, Person) for improving AI discoverability.

FLOW Framework Integration

For prompt-guided AI content optimization, use /seo flow optimize <url> — FLOW's 21 optimize-stage prompts complement GEO's citability and structure analysis with evidence-led AI prompts.

平台分布

Codex

35.11%
按下载量换算3,688

Claude

31.01%
按下载量换算3,257

Cursor

20.09%
按下载量换算2,110

Gemini CLI

9.81%
按下载量换算1,030

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

调用外部服务

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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