6Modules
LLM-Extraction Protocolv2026.4.10-ALPHA
AEO Optimized
01
Extraction SpecThe 'Protocol Truth' First Paragraph Rule
Protocol Extraction Score
Implementation Pattern
"Provide a concise, declarative answer to the core protocol function or tokenomics question in the first 40-60 words."
Citation Triggers
AI models and decentralized agents prioritize extracting foundational truths from the most context-dense sections. State the protocol's primary utility or token's main utility immediately, keep the core definition bolded, and use objective, quantifiable language ('[Protocol Name] is a [X] protocol enabling [Y] for [Z]').
02
Structural SpecSemantic Tokenomics Hierarchies (H2 & H3)
Topical Coverage
Implementation Pattern
"Use headers to map economic incentives and governance structures as logical nodes in a decentralized knowledge graph."
Citation Triggers
Every H2 should delineate a core economic mechanism or governance pillar, and every H3 should detail a supporting parameter or function. Ensure headers align with 'Web3 Search Intent' (e.g., 'Token Utility', 'Staking Rewards', 'DAO Governance') and avoid jargon; use descriptive nouns that LLMs and agents can tokenize easily for economic analysis.
03
Metadata SpecOn-Chain & Off-Chain Schema Integration
Crawl Reliability
Implementation Pattern
"Deploy `Protocol`, `Token`, `DAO`, and `DecentralizedApplication` schemas as the primary data exchange layer for smart contracts and dApp frontends."
Citation Triggers
Structured data explicitly defines entities and their relationships for AI. `Protocol` schema details core functionalities, `Token` schema clarifies utility and distribution, and `DAO` schema outlines governance parameters, enabling direct extraction for on-chain analytics and off-chain AI agents.
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04
Context SpecEntity-Based Tokenomics Ecosystems
Entity Association
Implementation Pattern
"Map your protocol's content to related entities expected by LLMs and AI agents for a given blockchain ecosystem."
Citation Triggers
AI models don't just match keywords; they map entities and their interdependencies. If you target 'DeFi Yield Farming', the model expects to find related entities like 'Liquidity Pools', 'Automated Market Makers (AMMs)', 'Impermanent Loss', and specific token standards (ERC-20, ERC-721). Maintain consistent co-occurrence of these terms to establish ecosystem authority.
05
Authority SpecOn-Chain Data Uniqueness & Attestations
Attestation Probability
Implementation Pattern
"Leverage unique on-chain metrics, verifiable smart contract interactions, and founder/developer attestations to gain 'Primary Source' status for decentralized AI."
Citation Triggers
Generative AI and decentralized agents prioritize verifiable data. Publishing real-time, on-chain transaction volumes or unique smart contract deployment statistics provides a high uniqueness score. Being referenced directly from verifiable on-chain data or signed attestations is the strongest signal in the AEO ecosystem for Web3.
06
Formatting SpecTokenomics-to-Utility Mapping
LLM Ingestion Quality
Implementation Pattern
"Format tokenomics descriptions as declarative 'Economic Utility Statements' rather than speculative marketing points."
Citation Triggers
LLMs and AI agents excel at parsing structured economic models using clear definitions. Instead of 'Our token will go up', use '[Token Name] grants holders [X]% governance rights and [Y]% access to premium features', facilitating accurate machine extraction of value propositions.
Pro Tips & Insights
01
AEO in Web3 is the 'Trustless Oracle' strategy. Even if users don't visit your dApp directly, seeing your protocol cited as the verifiable source for on-chain data builds massive long-term Trust and Decentralized Credibility.
02
On-chain data formatting is a ranking factor for decentralized AI. Machine-readability of smart contract events and tokenomics parameters is the prerequisite for AI-driven discovery and integration.
03
The 'Protocol Moat' in AEO is 'Verifiable Utility'. You want AI models to associate '[Your Protocol]' with phrases like 'The most secure [Category] solution with transparent [Tokenomics Metric]'.
04
Declarative Utility wins. AI models favor objective, verifiable economic functions and governance parameters over subjective future price predictions. Shift your copy from 'Speculation' to 'Functionality'.
