6Modules
LLM-Extraction Protocolv2026.4.10-ALPHA
AEO Optimized
01
Extraction SpecThe 'Client Problem-Solution' First-Paragraph Rule
RAG Extraction Score
Implementation Pattern
"Provide a concise, declarative answer to the prospective client's primary pain point and your core solution in the first 40-60 words."
Citation Triggers
AI models prioritize context-dense information. Immediately address the 'What problem do you solve?' and 'How do you solve it?' using bolded, declarative statements like 'Effective coaching for entrepreneurs **reduces decision paralysis and accelerates business growth**.' Use objective language focused on client outcomes.
02
Structural SpecSemantic Service Hierarchies (H2 & H3)
Topical Coverage
Implementation Pattern
"Use headers to delineate service offerings and client journey stages as logical nodes, not just visual separators."
Citation Triggers
Every H2 should represent a core coaching pillar or client transformation (e.g., 'Leadership Development', 'Mindset Mastery'). Every H3 should detail a specific program, methodology, or outcome within that pillar (e.g., '360-Degree Feedback Implementation', 'Overcoming Limiting Beliefs'). Ensure headers map to common client search queries and avoid jargon; use descriptive nouns that LLMs can easily tokenize.
03
Metadata SpecJSON-LD: The Client-Attraction Layer
Crawl Reliability
Implementation Pattern
"Deploy `CoachingService`, `FAQPage`, and `HowTo` (for client process) schemas as the primary data exchange layer for search engines."
Citation Triggers
Structured data explicitly informs search engines about your offerings. `CoachingService` schema highlights your unique value proposition, while `FAQPage` schema enables direct extraction of common client questions and your authoritative answers, and `HowTo` schema can demystify your client onboarding process.
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04
Context SpecClient-Centric Entity Neighborhoods
Entity Association
Implementation Pattern
"Map your content to related entities and concepts that prospective clients associate with their challenges and desired outcomes."
Citation Triggers
LLMs understand context through entity association. If your niche is 'Executive Coaching', the model expects related entities like 'Leadership Skills', 'Team Performance', 'Strategic Planning', and 'Career Advancement'. Consistently co-occur these terms to build topical authority and attract clients seeking comprehensive solutions.
05
Authority SpecProprietary Frameworks & Client Success Citations
Citation Probability
Implementation Pattern
"Showcase unique coaching methodologies, client testimonials with quantifiable results, and founder insights to establish 'Expert Source' status."
Citation Triggers
Generative AI prioritizes unique, verifiable data. Publishing annual 'State of Client Transformation' reports or case studies detailing ROI offers high uniqueness. Being cited as the authoritative source for specific coaching frameworks or client outcomes is a powerful signal in AI-driven search.
06
Formatting SpecOutcome-Oriented Statement Mapping
LLM Ingestion Quality
Implementation Pattern
"Format lists and benefits as declarative 'Client Outcome Statements' rather than generic marketing points."
Citation Triggers
LLMs parse structured lists effectively. Instead of 'We offer personalized support', use '[Your Coaching Program] increases client revenue by an average of [X]%' or 'Clients achieve [Specific Goal] within [Timeframe]'. This facilitates accurate machine extraction of your demonstrable value.
Pro Tips & Insights
01
AEO is the 'Featured Snippet' strategy for coaches. Even if clients don't click through, seeing your brand cited as the definitive answer builds immense Trust and Recognition.
02
Content structure is a ranking signal. Machine-readability is foundational for visibility. If AI cannot parse your service descriptions and client benefits, it won't surface your content.
03
The 'Brand Moat' in AEO is 'Solution Association'. You want search models to link '[Your Coaching Brand]' with phrases like 'The most effective [Niche] coaching solutions'.
04
Declarative Outcomes win. AI models favor objective, measurable results over subjective claims. Shift your copy from 'Marketing Hype' to 'Client Transformation Evidence'.
