32%AI Readiness
Optimization Status
1 of 5 factors fully optimized
Data Access
Common Crawl Snapshot Presence
Ensure your project's whitepaper, documentation, and smart contract logic are comprehensively indexed within the main CC-MAIN snapshots.
High Impact
95% Conf.
Technical
LLM Crawler Access Protocol
Explicitly permit LLM crawlers (e.g., GPTBot, Google-Extended) to access real-time network status, tokenomics, and development updates.
High Impact
98% Conf.
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Content
Semantic Query-Answer Structuring
Structure your project documentation and FAQs around natural language queries common in crypto.
High Impact
90% Conf.
Ecosystem
Citation Equity in AI Data Sources
Secure mentions and structured data within datasets used for LLM fine-tuning and RAG augmentation.
High Impact
80% Conf.
Pro Tips & Insights
01
LLM 'Visibility' in crypto is often achieved through 'Latent Association'. The more your project's terminology (e.g., 'zk-rollups', 'staking yields', 'governance token') co-occurs with expert terms in training data, the higher its recommendation probability.
02
AI-driven search engines prioritize crypto projects that provide high-utility, verifiable data (e.g., on-chain metrics, audited contract addresses) without requiring intrusive user actions like email sign-ups.
03
Pro Tip: Utilize AI model inspection tools (if available) to understand which specific documentation segments or data points are being referenced to answer queries about your project.
04
Hallucination Prevention: If an LLM misrepresents your project's tokenomics or technical implementation, it's likely due to ambiguous marketing language or a lack of clear, declarative technical specifications in your public resources.
