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

GEO-first SEO analysis tool.

How to use it

  1. Hit Copy SKILL.md — or use the Claude Code line below to get every file.
  2. Claude: ⋯ → Download .md, then Customize → Skills → Add → Upload skill.
    ChatGPT: make a Project and paste it into Instructions.
    Neither? Paste it at the top of a new chat — it works for that chat.
  3. Describe your job in plain words. The AI follows the skill from there.
Claude Code — installs the whole folder, not just SKILL.md
npx degit zubair-trabzada/geo-seo-claude/geo#main ~/.claude/skills/geo

For one project only, change the path to .claude/skills/geo. This skill also uses llms.txt, robots.txt, GEO-AUDIT-REPORT.md, GEO-PAGE-ANALYSIS.md, GEO-CITABILITY-SCORE.md, GEO-CRAWLER-ACCESS.md — copying SKILL.md alone won't be enough. See the folder on GitHub.

Not working?
  • Check which app you pasted it into — the steps above name the right one.
  • Some skills need the paid tier of Claude or ChatGPT.
Step-by-step guide with screenshots · Ask in the forum

Paste into Claude, ChatGPT or Cursor.

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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
1---
2name: geo
3description: >
4 GEO-first SEO analysis tool. Optimizes websites for AI-powered search engines
5 (ChatGPT, Claude, Perplexity, Gemini, Google AI Overviews) while maintaining
6 traditional SEO foundations. Performs full GEO audits, citability scoring,
7 AI crawler analysis, llms.txt generation, brand mention scanning, platform-specific
8 optimization, schema markup, technical SEO, content quality (E-E-A-T), and
9 client-ready GEO report generation. Use when user says "geo", "seo", "audit",
10 "AI search", "AI visibility", "optimize", "citability", "llms.txt", "schema",
11 "brand mentions", "GEO report", or any URL for analysis.
12allowed-tools: Read, Grep, Glob, Bash, WebFetch, Write
13---
14 
15# GEO-SEO Analysis Tool — Claude Code Skill (February 2026)
16 
17> **Philosophy:** GEO-first, SEO-supported. AI search is eating traditional search.
18> This tool optimizes for where traffic is going, not where it was.
19 
20---
21 
22## Quick Reference
23 
24| Command | What It Does |
25|---------|-------------|
26| `/geo audit <url>` | Full GEO + SEO audit with parallel subagents |
27| `/geo page <url>` | Deep single-page GEO analysis |
28| `/geo citability <url>` | Score content for AI citation readiness |
29| `/geo crawlers <url>` | Check AI crawler access (robots.txt analysis) |
30| `/geo llmstxt <url>` | Analyze or generate llms.txt file |
31| `/geo brands <url>` | Scan brand mentions across AI-cited platforms |
32| `/geo platforms <url>` | Platform-specific optimization (ChatGPT, Perplexity, Google AIO) |
33| `/geo schema <url>` | Detect, validate, and generate structured data |
34| `/geo technical <url>` | Traditional technical SEO audit |
35| `/geo content <url>` | Content quality and E-E-A-T assessment |
36| `/geo report <url>` | Generate client-ready GEO deliverable |
37| `/geo report-pdf <url>` | Generate professional PDF report with charts and scores |
38| `/geo quick <url>` | 60-second GEO visibility snapshot |
39| `/geo prospect <cmd>` | CRM-lite: manage prospects through the sales pipeline |
40| `/geo proposal <domain>` | Auto-generate client proposal from audit data |
41| `/geo compare <domain>` | Monthly delta report: show score improvements to client |
42| `/geo update` | Pull latest GEO skill updates from upstream |
43 
44---
45 
46## Market Context (Why GEO Matters)
47 
48| Metric | Value | Source |
49|--------|-------|--------|
50| GEO services market (2025) | $850M-$886M | Yahoo Finance / Superlines |
51| Projected GEO market (2031) | $7.3B (34% CAGR) | Industry analysts |
52| AI-referred sessions growth | +527% (Jan-May 2025) | SparkToro |
53| AI traffic conversion vs organic | 4.4x higher | Industry data |
54| Google AI Overviews reach | 1.5B users/month, 200+ countries | Google |
55| ChatGPT weekly active users | 900M+ | OpenAI |
56| Perplexity monthly queries | 500M+ | Perplexity |
57| Gartner: search traffic drop by 2028 | -50% | Gartner |
58| Marketers investing in GEO | Only 23% | Industry surveys |
59| Brand mentions vs backlinks for AI | 3x stronger correlation | Ahrefs (Dec 2025) |
60 
61---
62 
63## Orchestration Logic
64 
65### Full Audit (`/geo audit <url>`)
66 
67**Phase 1: Discovery (Sequential)**
681. Fetch homepage HTML (curl or WebFetch)
692. Detect business type (SaaS, Local, E-commerce, Publisher, Agency, Other)
703. Extract key pages from sitemap.xml or internal links (up to 50 pages)
71 
72**Phase 2: Parallel Analysis (Delegate to Subagents)**
73Launch these 5 subagents simultaneously:
74 
75| Subagent | File | Responsibility |
76|----------|------|---------------|
77| geo-ai-visibility | `agents/geo-ai-visibility.md` | GEO audit, citability, AI crawlers, llms.txt, brand mentions |
78| geo-platform-analysis | `agents/geo-platform-analysis.md` | Platform-specific optimization (ChatGPT, Perplexity, Google AIO) |
79| geo-technical | `agents/geo-technical.md` | Technical SEO, Core Web Vitals, crawlability, indexability |
80| geo-content | `agents/geo-content.md` | Content quality, E-E-A-T, readability, AI content detection |
81| geo-schema | `agents/geo-schema.md` | Schema markup detection, validation, generation |
82 
83**Phase 3: Synthesis (Sequential)**
841. Collect all subagent reports
852. Calculate composite GEO Score (0-100)
863. Generate prioritized action plan
874. Output client-ready report
88 
89### Scoring Methodology
90 
91| Category | Weight | Measured By |
92|----------|--------|-------------|
93| AI Citability & Visibility | 25% | Passage scoring, answer block quality, AI crawler access |
94| Brand Authority Signals | 20% | Mentions on Reddit, YouTube, Wikipedia, LinkedIn; entity presence |
95| Content Quality & E-E-A-T | 20% | Expertise signals, original data, author credentials |
96| Technical Foundations | 15% | SSR, Core Web Vitals, crawlability, mobile, security |
97| Structured Data | 10% | Schema completeness, JSON-LD validation, rich result eligibility |
98| Platform Optimization | 10% | Platform-specific readiness (Google AIO, ChatGPT, Perplexity) |
99 
100---
101 
102## Business Type Detection
103 
104Analyze homepage for patterns:
105 
106| Type | Signals |
107|------|---------|
108| **SaaS** | Pricing page, "Sign up", "Free trial", "/app", "/dashboard", API docs |
109| **Local Service** | Phone number, address, "Near me", Google Maps embed, service area |
110| **E-commerce** | Product pages, cart, "Add to cart", price elements, product schema |
111| **Publisher** | Blog, articles, bylines, publication dates, article schema |
112| **Agency** | Portfolio, case studies, "Our services", client logos, testimonials |
113| **Other** | Default — apply general GEO best practices |
114 
115Adjust 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.
116 
117---
118 
119## Sub-Skills (14 Specialized Components)
120 
121| # | Skill | Directory | Purpose |
122|---|-------|-----------|---------|
123| 1 | geo-audit | `skills/geo-audit/` | Full audit orchestration and scoring |
124| 2 | geo-citability | `skills/geo-citability/` | Passage-level AI citation readiness |
125| 3 | geo-crawlers | `skills/geo-crawlers/` | AI crawler access and robots.txt |
126| 4 | geo-llmstxt | `skills/geo-llmstxt/` | llms.txt standard analysis and generation |
127| 5 | geo-brand-mentions | `skills/geo-brand-mentions/` | Brand presence on AI-cited platforms |
128| 6 | geo-platform-optimizer | `skills/geo-platform-optimizer/` | Platform-specific AI search optimization |
129| 7 | geo-schema | `skills/geo-schema/` | Structured data for AI discoverability |
130| 8 | geo-technical | `skills/geo-technical/` | Technical SEO foundations |
131| 9 | geo-content | `skills/geo-content/` | Content quality and E-E-A-T |
132| 10 | geo-report | `skills/geo-report/` | Client-ready deliverable generation |
133| 11 | geo-prospect | `skills/geo-prospect/` | CRM-lite prospect and client pipeline management |
134| 12 | geo-proposal | `skills/geo-proposal/` | Auto-generate client proposals from audit data |
135| 13 | geo-compare | `skills/geo-compare/` | Monthly delta tracking and progress reports |
136| 14 | geo-update | `skills/geo-update/` | Pull latest updates from upstream repository |
137 
138---
139 
140## Subagents (5 Parallel Workers)
141 
142| Agent | File | Skills Used |
143|-------|------|-------------|
144| geo-ai-visibility | `agents/geo-ai-visibility.md` | geo-citability, geo-crawlers, geo-llmstxt, geo-brand-mentions |
145| geo-platform-analysis | `agents/geo-platform-analysis.md` | geo-platform-optimizer |
146| geo-technical | `agents/geo-technical.md` | geo-technical |
147| geo-content | `agents/geo-content.md` | geo-content |
148| geo-schema | `agents/geo-schema.md` | geo-schema |
149 
150---
151 
152## Output Files
153 
154All commands generate structured output:
155 
156| Command | Output File |
157|---------|------------|
158| `/geo audit` | `GEO-AUDIT-REPORT.md` |
159| `/geo page` | `GEO-PAGE-ANALYSIS.md` |
160| `/geo citability` | `GEO-CITABILITY-SCORE.md` |
161| `/geo crawlers` | `GEO-CRAWLER-ACCESS.md` |
162| `/geo llmstxt` | `llms.txt` (ready to deploy) |
163| `/geo brands` | `GEO-BRAND-MENTIONS.md` |
164| `/geo platforms` | `GEO-PLATFORM-OPTIMIZATION.md` |
165| `/geo schema` | `GEO-SCHEMA-REPORT.md` + generated JSON-LD |
166| `/geo technical` | `GEO-TECHNICAL-AUDIT.md` |
167| `/geo content` | `GEO-CONTENT-ANALYSIS.md` |
168| `/geo report` | `GEO-CLIENT-REPORT.md` (presentation-ready) |
169| `/geo report-pdf` | `GEO-REPORT.pdf` (professional PDF with charts) |
170| `/geo quick` | Inline summary (no file) |
171| `/geo prospect` | Updates `~/.geo-prospects/prospects.json` |
172| `/geo proposal` | `~/.geo-prospects/proposals/<domain>-proposal-<date>.md` |
173| `/geo compare` | `~/.geo-prospects/reports/<domain>-monthly-<YYYY-MM>.md` |
174 
175---
176 
177## PDF Report Generation
178 
179The `/geo report-pdf <url>` command converts `GEO-AUDIT-REPORT.md` into a styled, client-ready PDF.
180 
181### Requirements
182- **pandoc**`brew install pandoc`
183- **Google Chrome**`/Applications/Google Chrome.app/` (standard Mac install)
184 
185No Python dependencies required for PDF generation.
186 
187### What the PDF Includes
188- **Cover page** — dark navy gradient, GEO score badge, brand/domain/date/location metadata
189- **Color-coded score tables** — cells with `XX/100` values are automatically colored green/blue/amber/orange/red
190- **Severity-tagged findings** — Critical/High/Medium/Low sections get colored left-border callout blocks
191- **Section page breaks** — major sections break to new pages automatically
192- **Styled code blocks** — JSON schema templates render with dark monospace theme
193 
194### Templates
195Bundled at `~/.claude/skills/geo/templates/`:
196- `geo-report-style.css` — stylesheet (edit colors, fonts, layout here)
197- `geo-report-template.html` — pandoc HTML template (edit cover fields here)
198 
199### Workflow
2001. Run `/geo audit <url>` to produce `GEO-AUDIT-REPORT.md`
2012. Run `/geo report-pdf` — extracts metadata from the report and runs:
202 ```bash
203 pandoc GEO-AUDIT-REPORT.md \
204 --to html5 --standalone --embed-resources \
205 --template ~/.claude/skills/geo/templates/geo-report-template.html \
206 --css ~/.claude/skills/geo/templates/geo-report-style.css \
207 --metadata brand_name="..." --metadata geo_score="..." \
208 -o GEO-REPORT.html
209 
210 "/Applications/Google Chrome.app/Contents/MacOS/Google Chrome" \
211 --headless=new --disable-gpu --no-sandbox \
212 --print-to-pdf="$(pwd)/GEO-REPORT.pdf" \
213 --print-to-pdf-no-header --no-pdf-header-footer \
214 --virtual-time-budget=5000 \
215 "file://$(pwd)/GEO-REPORT.html"
216 ```
2173. Output: `GEO-REPORT.pdf` in the current directory
218 
219---
220 
221## Quality Gates
222 
223- **Crawl limit:** Max 50 pages per audit (focus on quality over quantity)
224- **Timeout:** 30 seconds per page fetch
225- **Rate limiting:** 1-second delay between requests, max 5 concurrent
226- **Robots.txt:** Always respect, always check
227- **Duplicate detection:** Skip pages with >80% content similarity
228 
229---
230 
231## Quick Start Examples
232 
233```
234# Full GEO audit of a website
235/geo audit https://example.com
236 
237# Check if AI bots can see your site
238/geo crawlers https://example.com
239 
240# Score a specific page for AI citability
241/geo citability https://example.com/blog/best-article
242 
243# Generate an llms.txt file for your site
244/geo llmstxt https://example.com
245 
246# Get a 60-second visibility snapshot
247/geo quick https://example.com
248 
249# Generate a client-ready report
250/geo report https://example.com
251```
252 

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