LLM.txt & AI Crawler Setup Guide for Clinics

Create a text file at /clinic-ai.txt with a brief introduction to your clinic's services and specialties.

Include markdown-style links to your most important service pages, physician profiles, and patient resource sections.

Add a 'FAQ' section within the file to directly answer common queries from AI models researching treatment options, insurance, or appointment scheduling.

User-agent: Googlebot-News Allow: /conditions/ Allow: /treatments/ Disallow: /admin/

Verify your crawler permissions using a bot simulator or by checking Google Search Console's crawl stats for healthcare-specific bots.

Monitor crawl frequency in your server logs to ensure AI bots are prioritizing patient-facing information over internal administrative pages.

Wrap primary medical information, such as disease descriptions or procedure details, within <article> tags to denote distinct content units.

Use <section> tags with descriptive 'aria-label' attributes (e.g., 'aria-label="Cardiology Services"', 'aria-label="Primary Care Physicians"') for different clinical departments or specialties.

Ensure all patient outcome data, clinical trial results, or pricing tables use proper <thead>, <tbody>, and <th> tags for structured data extraction.

Keep related medical concepts, treatment pathways, or symptom explanations within distinct content blocks, ideally under 500 words.

Avoid ambiguous references; repeat the specific condition, treatment, or physician name in section summaries to maintain context for AI.

Eliminate vague pronouns (e.g., 'It', 'They', 'This') and replace them with explicit references to the medical condition, procedure, or healthcare provider.