echelon.health — AI Search Visibility Report
Overall score: 79/100
AI search visibility analysis for echelon.health. LLMao scored echelon.health 79/100 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 professional tone, though some medical jargon (e.g., 'Cullinan Assessment') requires better immediate definition.
- schema_markup: 65/100 — Basic Organization schema is present, but missing Article, FAQ, and Physician/MedicalBusiness schemas.
- authority_trust: 75/100 — Strong physical presence and CQC ratings, but lacks structured author credentials and formal editorial standards.
- citation_sources: 60/100 — Claims are generally medically sound but lack frequent inline citations to external primary research databases.
- content_freshness: 95/100 — Excellent recency with multiple posts in early 2026, including the day of analysis.
- content_structure: 80/100 — Clear hierarchy and use of semantic HTML, though some pages have multiple H1s or skipped levels in complex sections.
- entity_definition: 70/100 — Brand is consistent, but individual medical experts are not defined as distinct entities in schema.
- technical_accessibility: 80/100 — Good meta descriptions and social tags; content is largely accessible, though AI-specific robots.txt directives are missing.
Top recommendations
- Expand Content-Specific Schema (Schema Markup): Implement Article or BlogPosting schema on all blog pages. Currently, only Organization schema is present in the JSON-LD block, missing critical content-level entities for LLMs.
- Implement Author Schema (E-E-A-T) (Entity Definition): Add Person schema to author bylines. While authors like 'Echelon Health' or 'Ahmed Barkouky' are mentioned, they lack structured data linking them to professional credentials or social profiles.
- Strengthen Medical Trust Signals (Authority & Trust): Explicitly link the CQC 'Good' rating using structured data (MedicalOrganization schema) and provide a dedicated 'Editorial Policy' page to satisfy LLM trust requirements for YMYL content.
- Optimize AI Crawler Access (Technical Accessibility): Create a dedicated robots.txt entry that explicitly allows AI crawlers (GPTBot, ClaudeBot, PerplexityBot) to ensure full indexing of deep medical insights.
- Enhance Primary Source Citations (Citation & Source Quality): Increase the use of outbound links to primary medical research (PubMed, Lancet) within blog posts to verify health claims, rather than just internal links.