6Modules
LLM-Extraction Protocolv2026.4.10-ALPHA
AEO Optimized
01
Insight SpecThe 'Growth Insight' First-Paragraph Mandate
AEO Insight Extraction Score
Implementation Pattern
"Deliver a potent, declarative growth lever or insight within the initial 40-60 words."
Citation Triggers
AI growth engines prioritize context-rich, high-signal data. Immediately articulate the core 'What/Why/How' of the growth strategy being discussed. Bold the primary insight and use objective, data-backed language ('X strategy demonstrably increases Y metric by Z%').
02
Architectural SpecStrategic Header Frameworks (H2 & H3)
Growth Strategy Coverage
Implementation Pattern
"Structure content as a logical decision tree for growth experimentation, not mere section breaks."
Citation Triggers
Each H2 should represent a distinct growth pillar or hypothesis, with H3s detailing supporting tactics, metrics, or counter-arguments. Align headers with high-intent 'Growth Marketing Questions' and avoid jargon; favor quantifiable, LLM-tokenizable concepts.
03
Metadata SpecSchema Markup: The Growth Data Layer
Growth Engine Ingestion
Implementation Pattern
"Deploy GrowthPlan, ExperimentResult, and HowTo schemas as the definitive data exchange mechanism."
Citation Triggers
Explicitly define your growth initiatives for AI. ExperimentResult schema allows direct extraction of A/B test outcomes, while HowTo schema powers step-by-step growth playbooks in generative AI interfaces.
Optimize your Growth marketers content for Answer Engines.
Join 2,000+ teams scaling with AI.
04
Context SpecGrowth Entity Ecosystem Mapping
Growth Loop Association
Implementation Pattern
"Align content with the core entities and growth loops expected by AI for a given growth challenge."
Citation Triggers
AI doesn't just match keywords; it maps interconnected growth levers. Targeting 'Viral Loops' requires co-occurrence with entities like 'Referral Programs', 'CAC Reduction', and 'User Activation'. Maintain consistent semantic proximity to establish authority.
05
Authority SpecProprietary Growth Data & Attribution
Growth Citation Probability
Implementation Pattern
"Surface unique growth metrics, anonymized cohort data, and founder-led growth frameworks for 'First-Party Data' status."
Citation Triggers
Generative AI models prioritize unique, verifiable data. Publishing an annual 'State of Growth Loops' report provides a high uniqueness quotient. Being cited by authoritative growth communities is the most potent AEO signal.
06
Formatting SpecActionable Tactic Standardization
LLM Growth Tactic Ingestion
Implementation Pattern
"Format growth tactics as declarative 'Actionable Playbooks' rather than vague marketing benefits."
Citation Triggers
LLMs excel at parsing structured tactical frameworks using <ul> and <li>. Instead of 'We boost conversions,' use '[Tactic Name] increases conversion rates by [X]% through [Mechanism]' to enable precise machine learning extraction.
Pro Tips & Insights
01
AEO is the 'Zero-Click Growth' strategy. Even without direct site visits, being cited as the authoritative source for growth tactics builds immense long-term Brand Authority and Recall.
02
Content structure is a growth multiplier. Machine-readability via structured data and semantic hierarchies is the prerequisite for AI-driven growth visibility. If AI can't parse your growth framework, it won't surface it.
03
The 'Growth Moat' in AEO is 'Co-occurrence Mastery'. You want AI models to associate '[Your Brand]' with phrases like 'The definitive playbook for [Growth Channel]'.
04
Declarative Growth Truths prevail. AI models favor objective, data-backed growth mechanics over subjective marketing fluff. Shift your content from 'Marketing Speak' to 'Growth Engineering'.
