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SKILL verified MIT Self-run

Seo Geo

skill-01clauding-claude-seo-skill-seo-geo · by 01clauding

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Install

$ agentstack add skill-01clauding-claude-seo-skill-seo-geo

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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Reliability & compatibility

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Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

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About

AI Search / GEO Optimization (February 2026)

Key Statistics

| Metric | Value | Source | |--------|-------|--------| | AI Overviews reach | 1.5 billion users/month across 200+ countries | Google | | AI Overviews query coverage | 48% of all queries (58% YoY growth) | BrightEdge/Semrush 2025 | | AI-referred sessions growth | 527% (Jan-May 2025) | SparkToro | | ChatGPT weekly active users | 900 million | OpenAI | | Perplexity monthly queries | 500+ million | Perplexity | | Perplexity Sonar response speed | 10x faster than Gemini 2.0 Flash | Perplexity | | Google AI Mode | Zero blue links, 180+ countries | Google, May 2025 |

Critical Insight: Brand Mentions > Backlinks

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

| Signal | Correlation with AI Citations | |--------|------------------------------| | YouTube mentions | ~0.737 (strongest) | | Reddit mentions | High | | Wikipedia presence | High | | LinkedIn presence | Moderate | | Domain Rating (backlinks) | ~0.266 (weak) |

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


Answer-First Content & Earned Mentions

Answer-First Content

AI search engines extract answers from the first 200 words of content. Structure every page with:

  1. Direct answer to the primary query in the opening paragraph
  2. Key statistics and facts front-loaded
  3. Self-contained answer blocks (134-167 words) that can be cited independently

Earned Mentions > Owned Content

For AI citation, earned mentions (third-party references to your brand/product) carry significantly more weight than owned content:

| Signal Type | AI Citation Weight | Example | |-------------|-------------------|---------| | Earned mentions | Highest | Reddit discussions, YouTube reviews, Wikipedia entries mentioning your brand | | Expert citations | High | Industry analysts, academic papers citing your research | | Owned authoritative | Medium | Your blog with E-E-A-T signals, documentation | | Owned generic | Low | Marketing pages, press releases |

Strategy: Invest in being mentioned and cited by others, not just publishing your own content.


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:

| Crawler | Owner | Purpose | |---------|-------|---------| | GPTBot | OpenAI | ChatGPT web search | | OAI-SearchBot | OpenAI | OpenAI search features | | ChatGPT-User | OpenAI | ChatGPT browsing | | ClaudeBot | Anthropic | Claude web features | | PerplexityBot | Perplexity | Perplexity AI search | | CCBot | Common Crawl | Training data (often blocked) | | anthropic-ai | Anthropic | Claude training | | Bytespider | ByteDance | TikTok/Douyin AI | | cohere-ai | Cohere | Cohere 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

| Platform | Key Citation Sources | Optimization Focus | |----------|---------------------|-------------------| | Google AI Overviews | Top-10 ranking pages (92%) | Traditional SEO + passage optimization | | ChatGPT | Wikipedia (47.9%), Reddit (11.3%) | Entity presence, authoritative sources | | Perplexity | Reddit (46.7%), Wikipedia | Community validation, discussions | | Bing Copilot | Bing index, authoritative sites | Bing 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)

GEO Academic Research Foundation

Aggarwal et al. (KDD 2024) — "GEO: Generative Engine Optimization"

Princeton University research establishing GEO as a discipline. Key findings:

9 GEO Optimization Strategies & Effectiveness

| Strategy | Visibility Improvement | Best For | |----------|----------------------|----------| | Cite Sources | +30-40% | All content types | | Add Statistics | +25-35% | Data-driven topics | | Include Quotations | +15-25% | Expert/opinion content | | Make Content Authoritative | +20-30% | YMYL, technical topics | | Use Technical Terms | +10-20% | Specialized/professional audiences | | Optimize Fluency | +5-15% | All content (baseline quality) | | Add Unique Words | +5-10% | Competitive topics | | Simplify Language | +5-10% | Consumer/general topics | | Keyword Stuffing | -15-25% (negative) | Never use — penalized |

Key takeaway: Citation and statistical enrichment are 3-5x more effective than keyword-focused strategies for AI visibility.

GEO Scoring Formula
GEO Score = (Citability × 0.25) + (Structure × 0.20) + (Multi-Modal × 0.15) + (Authority × 0.20) + (Technical × 0.20)

Where each dimension is scored 0-100:
- Citability: Self-contained answer blocks, stats with sources, definition patterns
- Structure: Heading hierarchy, lists/tables, paragraph length, FAQ format
- Multi-Modal: Images, video, infographics, interactive elements
- Authority: Author credentials, citations, brand mentions, entity presence
- Technical: SSR, AI crawler access, llms.txt, structured data
GEO vs Traditional SEO

| Aspect | Traditional SEO | GEO | |--------|----------------|-----| | Target | Blue links (position 1-10) | AI-generated answers (citations) | | Key factor | Backlinks + on-page | Brand mentions + citability | | Content format | Long-form, keyword-rich | Structured, quotable passages | | Success metric | Ranking position, CTR | Citation frequency, brand visibility | | Update cycle | Algorithm updates | Model updates, feature rollouts |


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

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.