LLM.txt & AI Crawler Setup Guide for Cybersecurity

Create a text file at /threat-intel.txt detailing the scope of your threat intelligence data.

Include markdown-style links to critical security advisories, CVE databases, and incident response playbooks.

Add a 'Data Schema' section to define formats (e.g., STIX/TAXII) for AI ingestion.

User-agent: SecurityAI Allow: /threat-reports/ Allow: /vulnerability-database/ Disallow: /customer-support/

Utilize a specialized bot verification tool or monitor traffic patterns for known security AI user agents.

Analyze server logs for crawl frequency and target URLs to ensure AI bots are accessing curated security intelligence, not sensitive operational data.

Wrap critical security advisories and threat actor profiles within <article> tags.

Use <section> tags with descriptive 'aria-label' attributes for distinct threat categories (e.g., 'malware-analysis', 'phishing-campaigns').

Ensure all vulnerability data is presented in proper HTML tables with <thead> and <tbody> for AI-driven risk assessment.

Consolidate related threat indicators, IoCs, and mitigation strategies within logical blocks of approximately 500 words.

Repeat the primary threat context (e.g., 'Ransomware Variant X') in section summaries to avoid ambiguity for RAG.

Replace generic pronouns with specific threat names, malware families, or CVE identifiers for precise AI recall.