GEO-SEO Analysis Tool — Claude Code Skill (February 2026)

Philosophy: GEO-first, SEO-supported. AI search is eating traditional search. This tool optimizes for where traffic is going, not where it was.

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Quick Reference

Command	What It Does
/geo audit <url>	Full GEO + SEO audit with parallel subagents
/geo page <url>	Deep single-page GEO analysis
/geo citability <url>	Score content for AI citation readiness
/geo crawlers <url>	Check AI crawler access (robots.txt analysis)
/geo llmstxt <url>	Analyze or generate llms.txt file
/geo brands <url>	Scan brand mentions across AI-cited platforms
/geo platforms <url>	Platform-specific optimization (ChatGPT, Perplexity, Google AIO)
/geo schema <url>	Detect, validate, and generate structured data
/geo technical <url>	Traditional technical SEO audit
/geo content <url>	Content quality and E-E-A-T assessment
/geo report <url>	Generate client-ready GEO deliverable
/geo report-pdf <url>	Generate professional PDF report with charts and scores
/geo quick <url>	60-second GEO visibility snapshot

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Market Context (Why GEO Matters)

Metric	Value	Source
GEO services market (2025)	$850M-$886M	Yahoo Finance / Superlines
Projected GEO market (2031)	$7.3B (34% CAGR)	Industry analysts
AI-referred sessions growth	+527% (Jan-May 2025)	SparkToro
AI traffic conversion vs organic	4.4x higher	Industry data
Google AI Overviews reach	1.5B users/month, 200+ countries	Google
ChatGPT weekly active users	900M+	OpenAI
Perplexity monthly queries	500M+	Perplexity
Gartner: search traffic drop by 2028	-50%	Gartner
Marketers investing in GEO	Only 23%	Industry surveys
Brand mentions vs backlinks for AI	3x stronger correlation	Ahrefs (Dec 2025)

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Orchestration Logic

Full Audit (/geo audit <url>)

Phase 1: Discovery (Sequential)

1. Fetch homepage HTML (curl or WebFetch)
2. Detect business type (SaaS, Local, E-commerce, Publisher, Agency, Other)
3. Extract key pages from sitemap.xml or internal links (up to 50 pages)

Phase 2: Parallel Analysis (Delegate to Subagents) Launch these 5 subagents simultaneously:

Subagent	File	Responsibility
geo-ai-visibility	agents/geo-ai-visibility.md	GEO audit, citability, AI crawlers, llms.txt, brand mentions
geo-platform-analysis	agents/geo-platform-analysis.md	Platform-specific optimization (ChatGPT, Perplexity, Google AIO)
geo-technical	agents/geo-technical.md	Technical SEO, Core Web Vitals, crawlability, indexability
geo-content	agents/geo-content.md	Content quality, E-E-A-T, readability, AI content detection
geo-schema	agents/geo-schema.md	Schema markup detection, validation, generation

Phase 3: Synthesis (Sequential)

1. Collect all subagent reports
2. Calculate composite GEO Score (0-100)
3. Generate prioritized action plan
4. Output client-ready report

Scoring Methodology

Category	Weight	Measured By
AI Citability & Visibility	25%	Passage scoring, answer block quality, AI crawler access
Brand Authority Signals	20%	Mentions on Reddit, YouTube, Wikipedia, LinkedIn; entity presence
Content Quality & E-E-A-T	20%	Expertise signals, original data, author credentials
Technical Foundations	15%	SSR, Core Web Vitals, crawlability, mobile, security
Structured Data	10%	Schema completeness, JSON-LD validation, rich result eligibility
Platform Optimization	10%	Platform-specific readiness (Google AIO, ChatGPT, Perplexity)

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Business Type Detection

Analyze homepage for patterns:

Type	Signals
SaaS	Pricing page, "Sign up", "Free trial", "/app", "/dashboard", API docs
Local Service	Phone number, address, "Near me", Google Maps embed, service area
E-commerce	Product pages, cart, "Add to cart", price elements, product schema
Publisher	Blog, articles, bylines, publication dates, article schema
Agency	Portfolio, case studies, "Our services", client logos, testimonials
Other	Default — apply general GEO best practices

Adjust recommendations based on detected type. Local businesses need LocalBusiness schema and Google Business Profile optimization. SaaS needs SoftwareApplication schema and comparison page strategy. E-commerce needs Product schema and review aggregation.

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Sub-Skills (10 Specialized Components)

#	Skill	Directory	Purpose
1	geo-audit	skills/geo-audit/	Full audit orchestration and scoring
2	geo-citability	skills/geo-citability/	Passage-level AI citation readiness
3	geo-crawlers	skills/geo-crawlers/	AI crawler access and robots.txt
4	geo-llmstxt	skills/geo-llmstxt/	llms.txt standard analysis and generation
5	geo-brand-mentions	skills/geo-brand-mentions/	Brand presence on AI-cited platforms
6	geo-platform-optimizer	skills/geo-platform-optimizer/	Platform-specific AI search optimization
7	geo-schema	skills/geo-schema/	Structured data for AI discoverability
8	geo-technical	skills/geo-technical/	Technical SEO foundations
9	geo-content	skills/geo-content/	Content quality and E-E-A-T
10	geo-report	skills/geo-report/	Client-ready deliverable generation

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Subagents (5 Parallel Workers)

Agent	File	Skills Used
geo-ai-visibility	agents/geo-ai-visibility.md	geo-citability, geo-crawlers, geo-llmstxt, geo-brand-mentions
geo-platform-analysis	agents/geo-platform-analysis.md	geo-platform-optimizer
geo-technical	agents/geo-technical.md	geo-technical
geo-content	agents/geo-content.md	geo-content
geo-schema	agents/geo-schema.md	geo-schema

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Output Files

All commands generate structured output:

Command	Output File
/geo audit	GEO-AUDIT-REPORT.md
/geo page	GEO-PAGE-ANALYSIS.md
/geo citability	GEO-CITABILITY-SCORE.md
/geo crawlers	GEO-CRAWLER-ACCESS.md
/geo llmstxt	llms.txt (ready to deploy)
/geo brands	GEO-BRAND-MENTIONS.md
/geo platforms	GEO-PLATFORM-OPTIMIZATION.md
/geo schema	GEO-SCHEMA-REPORT.md + generated JSON-LD
/geo technical	GEO-TECHNICAL-AUDIT.md
/geo content	GEO-CONTENT-ANALYSIS.md
/geo report	GEO-CLIENT-REPORT.md (presentation-ready)
/geo report-pdf	GEO-REPORT.pdf (professional PDF with charts)
/geo quick	Inline summary (no file)

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PDF Report Generation

The /geo report-pdf <url> command generates a professional, branded PDF report:

How It Works

1. Run the full audit or individual analyses first
2. Collect all scores and findings into a JSON structure
3. Execute the PDF generator: python3 ~/.claude/skills/geo/scripts/generate_pdf_report.py data.json GEO-REPORT.pdf

What the PDF Includes

• Cover page with GEO score gauge visualization
• Score breakdown with color-coded bar charts
• AI Platform Readiness dashboard with horizontal bar chart
• Crawler Access status table with color-coded Allow/Block
• Key Findings categorized by severity (Critical/High/Medium/Low)
• Prioritized Action Plan (Quick Wins, Medium-Term, Strategic)
• Methodology & Glossary appendix

Workflow

1. First run /geo audit <url> to collect all data
2. Then run /geo report-pdf <url> to generate the PDF
3. The tool will compile audit data into JSON, then generate the PDF
4. Output: GEO-REPORT.pdf in the current directory

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Quality Gates

• Crawl limit: Max 50 pages per audit (focus on quality over quantity)
• Timeout: 30 seconds per page fetch
• Rate limiting: 1-second delay between requests, max 5 concurrent
• Robots.txt: Always respect, always check
• Duplicate detection: Skip pages with >80% content similarity

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Quick Start Examples

# Full GEO audit of a website
/geo audit https://example.com

# Check if AI bots can see your site
/geo crawlers https://example.com

# Score a specific page for AI citability
/geo citability https://example.com/blog/best-article

# Generate an llms.txt file for your site
/geo llmstxt https://example.com

# Get a 60-second visibility snapshot
/geo quick https://example.com

# Generate a client-ready report
/geo report https://example.com