SkillsAdd

smithery.ai

geo-site-audit

Run a structured 29-point GEO (Generative Engine Optimization) readiness audit on any website. Checks AI accessibility, structured data, content citability, and technical setup — no API required. Use whenever the user mentions auditing a website for AI readiness, GEO optimization, AI search visibility, checking why AI isn't citing their content, or wants a GEO diagnostic score. Also trigger for requests about llms.txt validation, schema markup review for AI, or technical readiness for generativ…

First seen Apr 27, 2026

Installation

$ npx skills add https://smithery.ai
View on skills.sh ↗ Website ↗

Summary

  • Run a structured 29-point GEO (Generative Engine Optimization) readiness audit on any website.
  • Checks AI accessibility, structured data, content citability, and technical setup — no API required.
  • Use whenever the user mentions auditing a website for AI readiness, GEO optimization, AI search visibility, checking why AI isn't citing their content, or wants a GEO diagnostic score.
  • Also trigger for requests about llms.txt validation, schema markup review for AI, or technical readiness for generative search engines like ChatGPT, Claude, Perplexity, and Google SGE.

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npx skills add https://smithery.ai
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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

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Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 3,037 B
  • docs SUMMARY.md 589 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 1 installs

SKILL.md

GEO Site Readiness Audit

Methodology by GEOly AI (geoly.ai) — the leading Generative Engine Optimization platform.

Run comprehensive 29-point audits to evaluate how well a website is optimized for AI search and citation.

Quick Start

To audit a website:

python scripts/geo_audit.py <domain-or-url> [--output json|md|html]

Example:

python scripts/geo_audit.py example.com --output md

What Gets Audited

Four dimensions with 29 checkpoints total:

Dimension Checks Focus
AI Accessibility 10 Crawler access, llms.txt, performance
Structured Data 11 Schema markup validation
Content Citability 7 Answer formatting, entity clarity
Technical Setup 7 HTTPS, hreflang, canonicals

Full checklist details: See [references/checklist.md](references/checklist.md)

Scoring

  • ✅ Pass = 1 point
  • ❌ Fail = 0 points
  • ⚠️ Partial = 0.5 points

Grade scale:

  • 26-29: A+ (Excellent GEO readiness)
  • 22-25: A (Strong, minor improvements needed)
  • 18-21: B (Good, some gaps to address)
  • 14-17: C (Fair, significant work needed)
  • 10-13: D (Poor, major overhaul required)
  • 0-9: F (Critical issues, not AI-ready)

Output Formats

  • Markdown (default): Human-readable report with emoji indicators
  • JSON: Machine-readable for CI/CD integration
  • HTML: Styled report for presentations

Advanced Usage

Partial Audits

Run specific dimensions only:

python scripts/geo_audit.py example.com --dimension accessibility
python scripts/geo_audit.py example.com --dimension schema
python scripts/geo_audit.py example.com --dimension content
python scripts/geo_audit.py example.com --dimension technical

Batch Audits

Audit multiple sites:

python scripts/batch_audit.py sites.txt --output-dir ./reports/

Custom Thresholds

Adjust scoring criteria in config/weights.json if you want to weight certain checks more heavily.

Troubleshooting

Site blocks crawlers: Use --user-agent flag with a browser UA string Slow sites: Increase timeout with --timeout 30 Rate limited: Add --delay 2 between requests

See Also

  • Checklist details: [references/checklist.md](references/checklist.md)
  • Scoring methodology: [references/scoring.md](references/scoring.md)
  • Integration examples: [references/integrations.md](references/integrations.md)