High Priority
Deploy /clinic-ai.txt Protocol
Establish a machine-readable summary of your entire clinic website hierarchy specifically for AI agents focused on healthcare information.
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.
Configure your Clinics crawler protocols effortlessly.
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High Priority
Healthcare Bot Selective Indexing
Fine-tune which sections of your clinic website should be ingested by AI crawlers like those from Google's Health Search or specialized medical AI platforms.
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.
Medium Priority
Semantic HTML for Medical Information
Utilize HTML5 semantic elements to help LLM scrapers accurately understand the structure and context of your medical content.
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.
High Priority
RAG-Friendly Patient Education Optimization
Structure your patient education materials and service descriptions so they can be easily processed and retrieved by Retrieval-Augmented Generation (RAG) pipelines for AI-powered patient assistants.
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.
