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seo-geoSEO GEO 搜索

Agent Skill

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。

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安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

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

简介

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。

SKILL.md

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.

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Codex

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Claude

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Cursor

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Gemini CLI

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按下载量换算1,030

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