| 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 (improved by Tech Horizon Labs)
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 |
Orchestration Logic
Full Audit (/geo audit <url>)
Phase 1: Discovery (Sequential)
- Fetch homepage HTML (curl or WebFetch)
- Detect business type (SaaS, Local, E-commerce, Publisher, Agency, Other)
- Extract key pages from sitemap.xml or internal links (up to 50 pages)
Phase 2: Dimensional analysis (delegate to the specialised skills)
The canonical orchestrator is skills/geo-audit — it runs the five analysis dimensions in parallel under a fixed return contract and composite. This umbrella skill defers to it; don't re-implement the orchestration here. The dimensions and the skills that measure them:
| Dimension | Skill | Measures |
|---|
| AI visibility (citability + brand) | geo-citability, geo-brand-mentions | Passage citability, off-page brand-authority signals |
| Platform optimisation | geo-platform-optimizer | Per-surface readiness (Google AIO, ChatGPT, Perplexity) |
| Technical | geo-technical | SSR, Core Web Vitals, crawlability, AI-crawler access |
| Content / E-E-A-T | geo-content | Expertise, original data, author credentials |
| Schema | geo-schema | Structured-data detection, validation, generation |
Phase 3: Synthesis (Sequential)
- Collect all subagent reports
- Calculate composite GEO Score (0-100)
- Generate prioritized action plan
- 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 (13 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 |
What this measures — and what it can't
These skills read public signals — your pages, schema, crawler access, and off-page authority (Wikipedia/Wikidata verified live; other platforms via search) — and from them infer how citable and recommendable you are to AI answer engines. That inference is grounded in published research (see docs/SOURCES.md) and is genuinely useful for fixing the foundations you control.
What it does not do: it does not query ChatGPT, Claude, Perplexity or Google's AI live to check whether they actually name you in an answer. That's a different measurement — the outcome, not the inputs — and it's what our hosted scanner does:
For the full audit — the live "are you actually in the answer" measurement across ChatGPT, Claude, Perplexity and Google's AI — run the free scan at areyoufoundbyai.com. These open skills score your readiness; the scanner measures your visibility. (See docs/THL-GEO-METHOD.md for how the two fit together.)
Every score this suite emits is tagged with its provenance ([scan] / [partial-scan] / [heuristic] / [unmeasured]) — read a [heuristic] tag as "informed model judgement from signals," not a measured fact.
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 generates a professional, branded PDF report:
How It Works
- Run the full audit or individual analyses first
- Collect all scores and findings into a JSON structure
- Execute the PDF generator:
python3 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
- First run
/geo audit <url> to collect all data
- Then run
/geo report-pdf <url> to generate the PDF
- The tool will compile audit data into JSON, then generate the PDF
- 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
