6Modules
LLM-Extraction Protocolv2026.4.10-ALPHA
AEO Optimized
01
Extraction SpecThe 'Direct Diagnosis' First-Paragraph Rule
RAG Extraction Score
Implementation Pattern
"Provide a concise, declarative answer to the patient's implicit question (e.g., 'What are the symptoms of gingivitis?') in the first 40-60 words of the article."
Citation Triggers
AI models prioritize context-dense information. State the primary condition or treatment directly, bolding the core definition (e.g., '**Gingivitis is inflammation of the gums**'). Use objective, clinical language.
02
Structural SpecSemantic Header Hierarchies (H2 & H3) for Patient Journeys
Topical Coverage
Implementation Pattern
"Utilize headers as logical nodes to map patient concerns and treatment pathways, not merely for visual organization."
Citation Triggers
Each H2 should represent a core patient query or condition (e.g., 'Symptoms of Periodontal Disease', 'Dental Implant Procedure'). H3s should detail supporting information or treatment steps (e.g., 'Early Stage Signs', 'Surgical Placement'). Align headers with 'People Also Ask' (PAA) for dental health, avoiding jargon; use terms like 'Tooth Decay,' 'Root Canal Therapy,' 'Orthodontic Treatment.'
03
Metadata SpecJSON-LD: The Clinical Data Layer
Crawl Reliability
Implementation Pattern
"Implement `MedicalBusiness`, `FAQPage`, and `HowTo` schemas as the primary machine-readable data layer for dental services."
Citation Triggers
Structured data explicitly informs search engines about your practice and offerings. `MedicalBusiness` schema details services, hours, and location. `FAQPage` schema enables direct extraction of patient Q&A, and `HowTo` schema can drive step-by-step procedural explanations for treatments or at-home care, enhancing featured snippet potential.
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04
Context SpecEntity-Based Semantic Neighborhoods for Oral Health
Entity Association
Implementation Pattern
"Map your content to related clinical entities and patient concerns that LLMs expect for dental topics."
Citation Triggers
Search algorithms understand relationships between entities. For 'Dental Implants,' expect related entities like 'Bone Grafting,' 'Osseointegration,' 'Prosthodontics,' and 'Cosmetic Dentistry.' Consistent co-occurrence of these terms builds topical authority around specific procedures and conditions.
05
Authority SpecFactual Uniqueness & Clinical Citations
Citation Probability
Implementation Pattern
"Feature proprietary patient outcome data, clinical study summaries, and dentist expertise to achieve 'Primary Source' status."
Citation Triggers
Generative AI prioritizes unique, authoritative data. Publishing annual 'Patient Satisfaction Surveys' or 'Treatment Success Rate Reports' significantly boosts your content's uniqueness score. Being cited by reputable health directories or dental associations is a powerful signal in the AEO ecosystem.
06
Formatting SpecBullet-to-Procedural Mapping
LLM Ingestion Quality
Implementation Pattern
"Format treatment steps and patient instructions as declarative 'Clinical Procedures' rather than marketing benefits."
Citation Triggers
LLMs efficiently parse structured lists (<ul>, <li>). Instead of 'We make your smile brighter,' use 'Teeth whitening procedures increase enamel luminosity by an average of [X] shades' or 'Post-operative care involves rinsing with [Saline Solution] twice daily for [7] days.'
Pro Tips & Insights
01
AEO is the 'Zero-Click' patient acquisition strategy. Even if patients don't visit your site directly, seeing your practice cited as the authoritative answer builds trust and recall for dental services.
02
Website formatting is a direct ranking factor for patient queries. Machine-readability is essential for AI to surface your practice's information. If AI cannot parse your data structure, it won't feature you.
03
The 'Practice Moat' in AEO is 'Entity Co-occurrence.' You want search models to associate '[Your Practice Name]' with terms like 'most advanced [dental technology]' or 'gentlest [pediatric dentist].'
04
Declarative Clinical Truths win. AI models favor objective, verifiable facts about oral health and treatments over subjective marketing claims. Shift copy from 'Marketing' to 'Evidence-Based Education'.
