merck.com — AI Search Visibility Report
Overall score: 79/100
AI search visibility analysis for merck.com. LLMao scored merck.com 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 — Professional and clear, though some sections use high-level corporate jargon.
- schema_markup: 60/100 — JSON-LD is present but contains domain inconsistencies (referencing vip2-msd.com).
- authority_trust: 80/100 — Strong corporate trust signals with clear contact info and social proof, but lacks individual expert credentials in schema.
- citation_sources: 70/100 — Good internal linking to primary research, but lacks external authoritative citations for general health claims on the homepage.
- content_freshness: 95/100 — Excellent freshness with multiple 2026 dates in content and metadata.
- content_structure: 80/100 — Clear hierarchy and semantic HTML usage, though H1 is missing from the immediate scraped text.
- entity_definition: 75/100 — Strong brand consistency, but misses the opportunity to define key personnel as entities.
- technical_accessibility: 90/100 — Excellent meta descriptions and social tags; content is highly accessible.
Top recommendations
- Fix Schema Domain Mismatch (Schema Markup): The current JSON-LD uses a staging/old URL (vip2-msd.com) for the @id and WebSite URL. Update this to the primary merck.com domain to ensure LLMs correctly attribute entity authority.
- Implement Person Schema for Experts (Entity Definition): Add Person schema for executive leadership and scientists mentioned in 'Stories'. LLMs rely on Person entities to establish E-E-A-T.
- Add Expert Bylines to Content (Authority & Trust Signals): While stories have titles, they lack explicit author bylines and credentials. Add 'Written by [Name], [Title/Degree]' to all research stories.
- Add ItemList Schema for News/Stories (Schema Markup): The homepage features several 'Stories' and 'News' items. Implement 'CollectionPage' or 'ItemList' schema to help LLMs parse the latest updates more efficiently.
- Strengthen Inline Fact Verification (Citation & Source Quality): Research-heavy claims (e.g., '130 years of hope') should link to a dedicated history or impact page to provide a verifiable 'paper trail' for LLMs.