geo

---
name: geo
description: >
license: MIT
---

# 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
- **pandoc** — `brew 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:
   ```bash
   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
```