geo-crawlers

Analyze robots.txt, meta robots, and HTTP headers to map AI crawler access.

2|Updated Mar 20, 2026
One-click install
npx skills add https://github.com/multiplex-ai/muggle-ai-teams --skill geo-crawlers-multiplex-ai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: geo-crawlers
Source: https://github.com/multiplex-ai/muggle-ai-teams/tree/main/skills/geo-crawlers
Command: npx skills add https://github.com/multiplex-ai/muggle-ai-teams --skill geo-crawlers-multiplex-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

An AI site crawler access analysis that identifies how AI crawlers can access your site by analyzing robots.txt, meta robots tags, and HTTP headers to create a complete access map and practical recommendations.

Core Features & Use Cases

  • Analyze robots.txt for crawler allowances and blockers across Tier 1-3 crawlers.
  • Check meta robots tags and X-Robots-Tag headers to override or reinforce site policies.
  • Generate an AI crawler access report with a structured scoring system and actionable recommendations for improving visibility while preserving control.
  • Use Case: Run a site-wide audit for a domain and produce a repeatable report to monitor changes over time.

Quick Start

Run the geo-crawlers skill against a domain to generate the crawler access report.

Frequently Asked Questions about geo-crawlers

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I check if AI crawlers are blocked by my robots.txt file?

To check if AI crawlers are blocked, analyze your robots.txt file for user-agent allowances and blockers across Tier 1-3 crawlers. This analysis also evaluates meta robots tags and HTTP headers to generate a complete access report and an AI visibility score.

What is an AI crawler access report and how does it work?

An AI crawler access report maps crawler permissions by evaluating robots.txt, meta robots, and HTTP headers. It determines which AI crawlers are allowed or blocked across Tier 1-3 levels, providing a structured scoring system and actionable recommendations for safe deployment.

How do I run a site-wide audit for AI crawler access?

Run a crawler access analysis against your domain to audit AI crawler permissions. The process evaluates robots.txt, meta robots tags, and X-Robots-Tag headers, producing a repeatable report with an AI visibility score to monitor changes over time.

Does the crawler visibility analysis check meta robots tags and HTTP headers?

Yes, the crawler visibility analysis checks meta robots tags and X-Robots-Tag HTTP headers to override or reinforce site policies. It enforces consistent checks for AI-specific files and JS rendering considerations to ensure safe deployment.

Why does my AI crawler access analysis show different results for JS-rendered pages?

JS rendering considerations affect AI crawler access because dynamically loaded content may not be visible to all crawlers. The analysis enforces consistent checks for JS rendering and AI-specific files to identify potential safety risks and ensure accurate visibility scoring.

What is the best way to improve AI visibility while maintaining crawler control?

To improve AI visibility safely, use the analysis report's actionable recommendations based on your AI visibility score. The report evaluates robots.txt blocks and HTTP header policies across Tier 1-3 crawlers, providing structured guidance to maximize visibility while preserving control.