nansen.ai — AI Search Visibility Report
Overall score: 74/100
AI search visibility analysis for nansen.ai. LLMao scored nansen.ai 74/100 across 8 LLM-readiness categories including crawlability, semantic content, structured data, authority signals, and answer-engine clarity.
Analyzed URL
Category breakdown
- readability: 85/100 — High clarity and good use of active voice, though some crypto-jargon is undefined.
- schema_markup: 0/100 — No JSON-LD blocks found in the provided HTML, which is a significant missed opportunity for LLM SEO.
- authority_trust: 70/100 — Strong social proof and clear contact links, but lacks detailed author credentials and a dedicated About page.
- citation_sources: 50/100 — Claims are specific but lack direct outbound citations to primary sources or external verification.
- content_freshness: 95/100 — Excellent freshness with 2026 copyright and recent publication metadata.
- content_structure: 65/100 — Uses semantic HTML but has a fragmented heading hierarchy (skipping H2/H3 in sections).
- entity_definition: 60/100 — Brand consistency is high, but entity definition is limited by the lack of an About page and Person schema.
- technical_accessibility: 80/100 — Good meta descriptions and social meta, but robots.txt was not provided for verification.
Top recommendations
- Add Structured Data (JSON-LD) (Schema.org Markup): Implement comprehensive JSON-LD schema including Organization, SoftwareApplication, and FAQPage to help LLMs define the entity and its features.
- Enhance Entity Trust Signals (Authority & Trust Signals): Add a dedicated 'About Us' page with team bios, physical address, and editorial standards to improve E-E-A-T signals for LLMs.
- Improve Fact Verification with Citations (Citation & Source Quality): Include outbound links to primary data sources (e.g., Etherscan, Solana Explorer) or research papers to verify claims about '500M+ labels'.
- Optimize Heading Hierarchy (Content Structure): Fix the heading hierarchy; the homepage skips from H1 to H4 and H6, which confuses LLM parsers regarding content importance.
- Optimize AI Crawler Access (Technical Accessibility): Explicitly allow AI crawlers like GPTBot and ClaudeBot in robots.txt to ensure full indexing of the latest agentic trading features.