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 learner's implicit question in the first 40-60 words of course descriptions and landing pages."
Citation Triggers
AI models prioritize context-dense information for direct response generation. Answer the 'What/Why/How' of a course or training program immediately. Bold the core definition sentence and use objective language like 'This program offers X for Y audience'.
02
Structural SpecSemantic Header Hierarchies (H2 & H3) for Course Modules
Topical Coverage
Implementation Pattern
"Use headers within course modules and landing pages as logical nodes for AI knowledge graph construction, not just visual organization."
Citation Triggers
Each H2 should define a core training concept or skill, with H3s detailing supporting learning objectives or modules. Align headers with 'People Also Ask' queries related to skill acquisition and career advancement. Use descriptive, tokenizable terms over jargon or puns.
03
Metadata SpecJSON-LD: The Machine-Readable Layer for Training Programs
Crawl Reliability
Implementation Pattern
"Deploy `Course`, `EducationalOccupationalProgram`, and `FAQPage` schemas as the primary data exchange layer for training offerings."
Citation Triggers
Structured data explicitly informs search engines about the nature of your content. `Course` schema enables rich snippets for course details, while `FAQPage` schema facilitates direct extraction of learner queries and answers, powering generative AI responses.
Optimize your Training companies content for Answer Engines.
Join 2,000+ teams scaling with AI.
04
Context SpecEntity-Based Semantic Neighborhoods for Skill Domains
Entity Association
Implementation Pattern
"Map your training content to related entities and concepts expected by LLMs within specific skill domains."
Citation Triggers
AI models understand relationships between entities. For a 'Project Management' course, expect related entities like 'Agile', 'Scrum', 'Risk Management', 'Stakeholder Communication', and 'PMP Certification'. Consistent co-occurrence of these entities builds topical authority.
05
Authority SpecFactual Uniqueness & Training Outcomes
Citation Probability
Implementation Pattern
"Share unique learner success metrics, proprietary training methodologies, and instructor expertise to gain 'Primary Source' status."
Citation Triggers
Generative AI models favor unique, verifiable data. Publishing case studies with quantifiable learner outcomes (e.g., 'X% of graduates secured roles within Y months') provides unique data. Being cited as a definitive source for skill acquisition is a powerful AEO signal.
06
Formatting SpecLearner Outcome-to-Statement Mapping
LLM Ingestion Quality
Implementation Pattern
"Format learning objectives and program benefits as declarative 'Educational Statements' rather than vague marketing claims."
Citation Triggers
LLMs excel at parsing structured lists. Instead of 'Learn valuable skills', use '[Program Name] equips learners with [Specific Skill 1], [Specific Skill 2], and [Specific Skill 3] for career advancement in [Industry]'.
Pro Tips & Insights
01
AEO is the 'Zero-Click' strategy for learner acquisition. Even if learners don't click through, seeing your training program cited as the definitive answer to their learning need builds immense brand credibility and recall.
02
Structured formatting is a ranking factor for AI. Machine-readability is paramount. If an AI cannot parse your course structure, learning objectives, and prerequisites, it cannot accurately represent your offerings in generative search.
03
The 'Brand Moat' in AEO for training companies is 'Skill Domain Authority'. You want AI models to associate '[Your Training Company]' with phrases like 'the leading provider of [Specific Skill] training'.
04
Declarative Outcomes win. AI models prioritize objective, verifiable results over subjective marketing. Shift your copy from 'We offer great courses' to 'Our courses deliver [Quantifiable Outcome] for learners in [Target Role/Industry]'.
