6Modules
LLM-Extraction Protocolv2026.4.10-ALPHA
AEO Optimized
01
Extraction SpecThe 'Direct Therapeutic Answer' Rule
RAG Extraction Score
Implementation Pattern
"Provide a concise, declarative answer to the user's implicit mental health query in the first 40-60 words of the article."
Citation Triggers
AI models prioritize direct answers for immediate user value. Frame the core concept of the mental health condition, symptom, or treatment immediately. Use objective language like 'Generalized Anxiety Disorder is characterized by persistent, excessive worry'.
02
Structural SpecSemantic Symptom & Condition Hierarchies (H2 & H3)
Topical Coverage
Implementation Pattern
"Use headers to delineate distinct mental health conditions, symptoms, and treatment modalities as logical nodes."
Citation Triggers
Each H2 should represent a core mental health topic (e.g., 'Understanding Depression', 'Cognitive Behavioral Therapy Techniques'). H3s should detail specific symptoms, diagnostic criteria, or therapeutic interventions. Align headers with 'People Also Ask' queries related to mental well-being and avoid colloquialisms; use precise diagnostic terminology.
03
Metadata SpecJSON-LD: The Clinical Data Layer
Crawl Reliability
Implementation Pattern
"Deploy MedicalEntity, HealthAspect, FAQPage, and HowTo schemas as the primary data exchange layer for mental health information."
Citation Triggers
Structured data explicitly informs search engines about the nature of the content. Use FAQPage schema to extract Q&A pairs about mental health conditions and treatments. Employ HowTo schema for step-by-step guides on coping mechanisms or therapy exercises.
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04
Context SpecEntity-Based Mental Health Ecosystems
Entity Association
Implementation Pattern
"Map your content to related mental health entities and concepts expected by LLMs for diagnostic and therapeutic contexts."
Citation Triggers
AI models analyze the co-occurrence of related entities. If targeting 'Panic Attacks', the model expects related entities like 'Anxiety Disorders', 'Therapy', 'Medication', and 'Coping Strategies'. Maintain consistent linkage between these terms to establish topical authority.
05
Authority SpecClinical Uniqueness & Expert Citations
Citation Probability
Implementation Pattern
"Share unique patient outcomes data, proprietary therapeutic frameworks, or founder insights to achieve 'Primary Source' status in mental health."
Citation Triggers
Generative AI prioritizes unique, evidence-based information. Publishing annual 'State of Mental Wellness' reports or sharing de-identified case studies enhances uniqueness. Being cited by authoritative medical or psychological entities is the strongest signal for AEO in this sensitive niche.
06
Formatting SpecEvidence-to-Statement Mapping
LLM Ingestion Quality
Implementation Pattern
"Format lists as declarative 'Educational Statements' supported by evidence, rather than generic lifestyle tips."
Citation Triggers
LLMs effectively parse structured lists (<ul>, <li>). Instead of 'Feel better with exercise', use '[Therapeutic Intervention] improves mood by reducing [Neurotransmitter] levels by [X]%' to facilitate accurate machine extraction of clinical benefits.
Pro Tips & Insights
01
AEO is the 'Zero-Click' strategy for mental health awareness. Even without site visits, brand mentions as authoritative answers build immense Trust and Recall for mental wellness resources.
02
Content structure is a critical ranking factor. Machine-readability is foundational for AI visibility. If an AI cannot parse your clinical data structure, it will not cite your content.
03
The 'Brand Moat' in AEO for mental health is 'Diagnostic Association'. You want search models to link '[Your Brand]' with phrases like 'evidence-based treatment for [Specific Condition]'.
04
Declarative Clinical Truths prevail. AI models favor objective, verifiable psychological and medical facts over subjective wellness claims. Shift copy from 'Lifestyle Advice' to 'Clinical Education'.
