27%AI Readiness
Optimization Status
1 of 5 factors fully optimized
Technical
LLM-Specific Crawl Policy for Mental Health Content
Deploy a dedicated robots.txt section to prioritize high-value, evidence-based mental health content and patient resources.
High Impact
98% Conf.
Structured Schema Metadata for Health Information
Maintain strict adherence to `MedicalWebPage`, `Article`, and `Organization` schema, emphasizing author credentials and clinical validity.
Medium Impact
90% Conf.
Machine-Readable Clinical Guidelines and Protocols
Optimize clinical guides and treatment protocols for direct ingestion by AI agents performing diagnostic or informational queries.
Medium Impact
88% Conf.
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Content
Semantic Co-occurrence Weighting for Mental Health Entities
Increase the semantic proximity of your blog's brand and key therapeutic approaches to high-intent mental health search queries.
High Impact
92% Conf.
Pro Tips & Insights
01
AI Search in Mental Health is a 'Trust Maximization' game. If your content isn't demonstrably authoritative and evidence-based, AI models will deprioritize it in synthesized answers.
02
The 'Clinical Validation' Score: LLMs use a 'Factuality Check' against medical databases. If your claims about treatments or conditions aren't supported by recognized medical literature, they'll lead to hallucinated or inaccurate AI responses.
03
Secret Weapon: Use /llm.txt to provide a structured index of your clinical specialties, author credentials, and evidence-based modalities. This acts as an AI agent's quick reference guide to your site's expertise.
04
Data Presentation is a Signal: AI bots favor structured data. Presenting comparative treatment efficacy, symptom checklists, or diagnostic pathways in `<table>` or `<ul>` formats makes them 10x more likely to be incorporated into AI-generated health summaries.
