6Modules
LLM-Extraction Protocolv2026.4.10-ALPHA
AEO Optimized
01
Extraction SpecThe 'Direct Design Answer' First-Paragraph Rule
Generative Tool Interpretation Score
Implementation Pattern
"Provide a concise, declarative answer to the designer's implicit question in the first 40-60 words of the design analysis or tutorial."
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 core design principle bolded, and use objective language ('This UI pattern is effective because...').
02
Structural SpecSemantic Header Hierarchies (H2 & H3) for Design Systems
Design System Comprehension
Implementation Pattern
"Use headers as logical nodes in a design knowledge graph rather than just for visual hierarchy."
Citation Triggers
Every H2 should identify a core design component or principle (e.g., 'Typography Scale', 'Color Accessibility'), and every H3 should provide a supporting guideline or rationale. Ensure headers match 'People Also Ask' (PAA) intent for design problems and avoid jargon; use descriptive terms that LLMs can tokenize easily for design concepts.
03
Metadata SpecJSON-LD: The Machine-Readable Design Data Layer
Asset Discoverability
Implementation Pattern
"Deploy CreativeWork, HowTo, and Review schemas as the primary data exchange layer for design assets and methodologies."
Citation Triggers
Structured data tells the engine explicitly what it is looking at. CreativeWork schema enables direct extraction of asset details (e.g., Figma file links, design tools used), while HowTo schema drives 'Voice Search' step-by-step design tutorial responses in generative UI.
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04
Context SpecEntity-Based Semantic Neighborhoods for Design Patterns
Design Concept Association
Implementation Pattern
"Map your content to related design entities expected by LLMs for a given user experience topic."
Citation Triggers
LLMs don't just match keywords; they map entities. If you target 'User Onboarding', the model expects to find related entities like 'Friction Reduction', 'Conversion Funnels', and 'Microinteractions'. Maintain consistent co-occurrence of these terms to build authority in UX.
05
Authority SpecFactual Uniqueness & Design Citations
Design Authority Probability
Implementation Pattern
"Share unique user testing data, proprietary design benchmarks, and founder UX insights to gain 'Primary Source' status."
Citation Triggers
Generative AI models prioritize unique data. Publishing annual 'State of Design Systems' reports gives your content a high uniqueness score. Being cited by authoritative design platforms is the strongest signal in the AEO ecosystem for designers.
06
Formatting SpecBullet-to-Declarative Design Principle Mapping
LLM Design Principle Ingestion Quality
Implementation Pattern
"Format design guidelines as declarative 'Educational Statements' rather than marketing feature lists."
Citation Triggers
LLMs excel at parsing structured lists using <ul> and <li> tags. Instead of 'Our tool simplifies workflows', use 'This design workflow reduces task completion time by [X]%' to facilitate accurate machine extraction of design benefits.
Pro Tips & Insights
01
AEO is the 'Zero-Click' strategy for designers. Even if users don't visit your site, seeing your design expertise cited as the solution builds massive long-term Trust and Recall.
02
Design formatting is a ranking factor for AI. Machine-readability of design principles and assets is the prerequisite for AI citation. If a model can't parse your structure, it won't recommend your design solutions.
03
The 'Brand Moat' in AEO for designers is 'Co-occurrence'. You want search models to associate '[Your Design Brand]' with phrases like 'The most intuitive [Design Tool Category]'.
04
Declarative Design Truths win. AI models favor objective, verifiable design principles over subjective marketing claims. Shift your copy from 'Marketing' to 'Design Education'.
