GEO-SEO Analysis Tool

GEO-first SEO analysis tool for AI-powered search engines. Performs audits, citability scoring, and report generation.

Sby Skills Guide Bot
Data & AIIntermediate
007/22/2026
Claude Code
#geo#seo#ai-search#audit#optimization

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name: geo description: > GEO-first SEO analysis tool. Optimizes websites for AI-powered search engines (ChatGPT, Claude, Perplexity, Gemini, Google AI Overviews) while maintaining traditional SEO foundations. Performs full GEO audits, citability scoring, AI crawler analysis, llms.txt generation, brand mention scanning, platform-specific optimization, schema markup, technical SEO, content quality (E-E-A-T), and client-ready GEO report generation. Use when user says "geo", "seo", "audit", "AI search", "AI visibility", "optimize", "citability", "llms.txt", "schema", "brand mentions", "GEO report", or any URL for analysis. allowed-tools: Read, Grep, Glob, Bash, WebFetch, Write

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.


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 | | /geo prospect <cmd> | CRM-lite: manage prospects through the sales pipeline | | /geo proposal <domain> | Auto-generate client proposal from audit data | | /geo compare <domain> | Monthly delta report: show score improvements to client | | /geo update | Pull latest GEO skill updates from upstream |


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) |


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) |


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.


Sub-Skills (14 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 | | 11 | geo-prospect | skills/geo-prospect/ | CRM-lite prospect and client pipeline management | | 12 | geo-proposal | skills/geo-proposal/ | Auto-generate client proposals from audit data | | 13 | geo-compare | skills/geo-compare/ | Monthly delta tracking and progress reports | | 14 | geo-update | skills/geo-update/ | Pull latest updates from upstream repository |


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 |


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) | | /geo prospect | Updates ~/.geo-prospects/prospects.json | | /geo proposal | ~/.geo-prospects/proposals/<domain>-proposal-<date>.md | | /geo compare | ~/.geo-prospects/reports/<domain>-monthly-<YYYY-MM>.md |


PDF Report Generation

The /geo report-pdf <url> command converts GEO-AUDIT-REPORT.md into a styled, client-ready PDF.

Requirements

  • pandocbrew install pandoc
  • Google Chrome/Applications/Google Chrome.app/ (standard Mac install)

No Python dependencies required for PDF generation.

What the PDF Includes

  • Cover page — dark navy gradient, GEO score badge, brand/domain/date/location metadata
  • Color-coded score tables — cells with XX/100 values are automatically colored green/blue/amber/orange/red
  • Severity-tagged findings — Critical/High/Medium/Low sections get colored left-border callout blocks
  • Section page breaks — major sections break to new pages automatically
  • Styled code blocks — JSON schema templates render with dark monospace theme

Templates

Bundled at ~/.claude/skills/geo/templates/:

  • geo-report-style.css — stylesheet (edit colors, fonts, layout here)
  • geo-report-template.html — pandoc HTML template (edit cover fields here)

Workflow

  1. Run /geo audit <url> to produce GEO-AUDIT-REPORT.md
  2. Run /geo report-pdf — extracts metadata from the report and runs:
    pandoc GEO-AUDIT-REPORT.md \
      --to html5 --standalone --embed-resources \
      --template ~/.claude/skills/geo/templates/geo-report-template.html \
      --css ~/.claude/skills/geo/templates/geo-report-style.css \
      --metadata brand_name="..." --metadata geo_score="..." \
      -o GEO-REPORT.html
    
    "/Applications/Google Chrome.app/Contents/MacOS/Google Chrome" \
      --headless=new --disable-gpu --no-sandbox \
      --print-to-pdf="$(pwd)/GEO-REPORT.pdf" \
      --print-to-pdf-no-header --no-pdf-header-footer \
      --virtual-time-budget=5000 \
      "file://$(pwd)/GEO-REPORT.html"
    
  3. Output: GEO-REPORT.pdf in the current directory

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

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
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