High Priority
Deploy /llm.txt Protocol for Health Content
Establish a machine-readable summary of your entire health blog's hierarchy specifically for AI agents to understand content relevance and structure.
Create a text file at /llm.txt with a brief introduction to your health blog's focus areas (e.g., 'Cardiology Insights,' 'Nutrition Science').
Include markdown-style links to your most important content hubs (e.g., 'Allergy Management Guide,' 'Diabetes Care Protocols').
Add a 'FAQ' section within the file to address common queries related to health topics that AI models might use for training or direct response generation.
Configure your Health blogs crawler protocols effortlessly.
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High Priority
AI Crawler Selective Indexing for Health Verticals
Fine-tune which sections of your health blog should be ingested by AI crawlers like GPTBot to ensure focus on authoritative health information.
User-agent: GPTBot Allow: /conditions/ Allow: /treatments/ Disallow: /user-reviews/
Verify your crawler permissions using AI provider-specific bot testers or by monitoring crawler access patterns.
Monitor crawl frequency in your server logs to ensure AI bots are accessing relevant health condition pages and expert interviews, not just general category listings.
Medium Priority
Semantic HTML for Medical Knowledge Graph Ingestion
Utilize HTML5 landmarks and semantic tags to help LLM scrapers understand the structure and authority of your health-related content pieces.
Wrap your primary health articles in <article> tags to signal their importance as standalone pieces of medical information.
Use <section> with descriptive 'aria-label' attributes for distinct health topics within an article (e.g., 'Symptoms,' 'Diagnosis Methods,' 'Prognosis').
Ensure all medical data tables (e.g., dosage information, comparative study results) use proper <thead> and <tbody> tags for structured data extraction.
High Priority
RAG-Friendly Health Snippet Optimization
Structure your health content so that accurate, actionable medical information can be easily 'chunked' and retrieved by Retrieval-Augmented Generation (RAG) pipelines.
Keep related medical concepts and treatment protocols within distinct content blocks, ideally under 500 words.
Avoid ambiguous references; reiterate the primary health condition or treatment in section summaries.
Eliminate vague pronouns (e.g., 'It can cause...') and replace them with specific medical terms (e.g., 'Type 2 Diabetes can cause...').
