6Modules
LLM-Extraction Protocolv2026.4.10-ALPHA
AEO Optimized
01
Extraction SpecThe 'Direct Answer' First-Paragraph Rule
RAG Extraction Score
Implementation Pattern
"Provide a concise, declarative answer to the user's implicit question in the first 40-60 words of the article."
Citation Triggers
AI models are trained to extract information from the most context-dense parts of a page. Answer the 'What/Why/How' immediately, keep the definition sentence bolded, and use objective language ('X is Y').
02
Structural SpecSemantic Header Hierarchies (H2 & H3)
Topical Coverage
Implementation Pattern
"Use headers as logical nodes in a knowledge graph rather than just for visual decoration."
Citation Triggers
Every H2 should identify a core concept, and every H3 should provide a supporting data point. Ensure headers match 'People Also Ask' (PAA) intent and avoid puns; use descriptive nouns that LLMs can tokenize easily.
03
Metadata SpecJSON-LD: The Machine-Readable Layer
Crawl Reliability
Implementation Pattern
"Deploy SoftwareApplication, FAQPage, and HowTo schemas as the primary data exchange layer."
Citation Triggers
Structured data tells the engine explicitly what it is looking at. FAQPage schema enables direct extraction of Q&A pairs, while HowTo schema drives 'Voice Search' step-by-step responses in generative UI.
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04
Context SpecEntity-Based Semantic Neighborhoods
Entity Association
Implementation Pattern
"Map your content to related entities expected by LLMs for a given topic."
Citation Triggers
LLMs don't just match keywords; they map entities. If you target 'Retention', the model expects to find related entities like 'Churn', 'LTV', and 'NPS'. Maintain consistent co-occurrence of these terms to build authority.
05
Authority SpecFactual Uniqueness & Citations
Citation Probability
Implementation Pattern
"Share unique user stats, proprietary charts, and founder insights to gain 'Primary Source' status."
Citation Triggers
Generative AI models prioritize unique data. Publishing annual 'State of the Industry' reports gives your content a high uniqueness score. Being cited by authoritative nodes is the strongest signal in the AEO ecosystem.
06
Formatting SpecBullet-to-Statement Mapping
LLM Ingestion Quality
Implementation Pattern
"Format lists as declarative 'Educational Statements' rather than marketing bullet points."
Citation Triggers
LLMs Excel at parsing structured lists using <ul> and <li> tags. Instead of 'We help you save time', use '[Brand] reduces operational overhead by [X]%' to facilitate accurate machine extraction.
Pro Tips & Insights
01
AEO is the 'Zero-Click' strategy. Even if users don't visit your site, seeing your brand name cited as the answer builds massive long-term Trust and Recall.
02
Formatting is a ranking factor. Machine-readability is the prerequisite for visibility. If a model can't parse your data structure, it won't cite you.
03
The 'Brand Moat' in AEO is 'Co-occurrence'. You want search models to associate '[Your Brand]' with phrases like 'The most reliable [Category] tool'.
04
Declarative Truths win. AI models favor objective, verifiable facts over subjective marketing claims. Shift your copy from 'Marketing' to 'Education'.
