glassnode.com — AI Search Visibility Report
Overall score: 78/100
AI search visibility analysis for glassnode.com. LLMao scored glassnode.com 78/100 across 8 LLM-readiness categories including crawlability, semantic content, structured data, authority signals, and answer-engine clarity.
Analyzed URL
Category breakdown
- readability: 75/100 — Professional tone, though some industry jargon (e.g., 'systematic allocation strategy') is used without immediate definition.
- schema_markup: 20/100 — No JSON-LD script tags were detected in the provided HTML snippet, which is a significant missed opportunity for LLM indexing.
- authority_trust: 75/100 — Strong social proof with institutional logos and partner reports, but lacks individual author credentials on the homepage.
- citation_sources: 85/100 — Excellent use of primary data and collaborative reports with reputable institutions like Coinbase and CME.
- content_freshness: 95/100 — Very high freshness with multiple reports from 2025 and 2026 (current year).
- content_structure: 80/100 — Clear heading hierarchy (H1 to H3) and logical organization of product offerings.
- entity_definition: 70/100 — Strong brand consistency, but lacks a dedicated 'About' section on the homepage and term definitions.
- technical_accessibility: 85/100 — Good use of meta descriptions and social meta tags (Open Graph/Twitter). Content appears accessible.
Top recommendations
- Implement JSON-LD Schema Markup (Schema.org Markup): The site lacks explicit JSON-LD blocks in the provided HTML. Implement Organization, WebSite, and SoftwareApplication schema to help LLMs identify the entity and its products.
- Add Author Bylines and Bios (Authority & Trust Signals): While partner logos are present, there are no visible individual author bylines or Person schema for the research team on the homepage. Add author profiles to establish E-E-A-T.
- Create an Entity Glossary (Entity Definition): Define key industry terms like 'on-chain analysis' or 'systematic allocation' in a dedicated glossary or FAQ section to capture 'what is' LLM queries.
- Optimize robots.txt for AI Crawlers (Technical Accessibility): Ensure the robots.txt explicitly allows AI crawlers like GPTBot and ClaudeBot to ensure full indexing of deep research pages.