crypto.com — AI Search Visibility Report
Overall score: 72/100
AI search visibility analysis for crypto.com. LLMao scored crypto.com 72/100 across 8 LLM-readiness categories including crawlability, semantic content, structured data, authority signals, and answer-engine clarity.
Analyzed URL
Category breakdown
- readability: 80/100 — Good clarity and sentence length, though some crypto jargon (zkEVM, PoS) is used without immediate definition.
- schema_markup: 40/100 — Basic WebSite schema is present, but missing Organization, Product, and Breadcrumb schemas.
- authority_trust: 70/100 — Strong social proof and regulatory mentions, but lacks specific publication dates and author credentials on the homepage.
- citation_sources: 50/100 — Claims are made regarding licenses (MiCA), but lack direct outbound links to primary regulatory sources for verification.
- content_freshness: 60/100 — Content is relevant to 2026, but lacks explicit 'last modified' timestamps in metadata or visible text.
- content_structure: 90/100 — Excellent use of H1-H3 hierarchy and semantic HTML sections. Clear organization of products.
- entity_definition: 75/100 — Brand consistency is high, but lacks a dedicated 'About' schema and clear term definitions for technical jargon.
- technical_accessibility: 85/100 — Strong meta descriptions and social meta tags. Content is largely accessible.
Top recommendations
- Implement Advanced Schema Markup (Schema.org Markup): Expand JSON-LD to include Organization, FAQPage, and Product schemas. Currently, only basic WebSite schema is present.
- Enhance Publication Transparency (Authority & Trust Signals): Add a visible 'Last Updated' date to the homepage and link to specific author/expert profiles for financial content.
- Define Technical Entities Clearly (Entity Definition): Create a dedicated 'Glossary' or 'Terms' section on the homepage to define complex crypto concepts (e.g., zkEVM, MiCA) for LLM training.
- Strengthen Claim Verification with Outbound Links (Citation & Source Quality): Include outbound links to official regulatory bodies (like AMF or ESMA) when mentioning MiCA and CASP licenses.
- Optimize AI Crawler Access (Technical Accessibility): Ensure the robots.txt explicitly allows AI crawlers like GPTBot and ClaudeBot to ensure full indexing of 'Learn' content.