GeoSAFE

GEO-first SEO skill for Claude Code. Comprehensive AI search optimization for any website — citability scoring, AI crawler analysis, brand authority, schema markup, platform-specific optimization, and PDF reports. If you want learn how to sell this to real businesses, check out the skool community

The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.

---
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/` |

SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.

What the source does

Filesystem

none-observed

Network

none-observed

Shell

none-observed

Dependencies

pinned

Secrets in source

none-found

Findings (0)

No findings outside the package's declared scope.

Gates applied: no_behavioural_pass.

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