gsk.com — AI Search Visibility Report
Overall score: 79/100
AI search visibility analysis for gsk.com. LLMao scored gsk.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: 80/100 — High quality, professional tone, though some pharmaceutical jargon is present.
- schema_markup: 70/100 — Solid Corporation schema, but missing specific content-level schemas for articles/news.
- authority_trust: 75/100 — Strong corporate trust signals, but lacks individual author schema for scientists.
- citation_sources: 60/100 — Claims are authoritative but lack formal inline academic-style citations on the homepage.
- content_freshness: 80/100 — Excellent recency with 2025/2026 references, though specific 'last modified' dates are sparse.
- content_structure: 85/100 — Clean semantic HTML and logical navigation, though H-tag hierarchy could be tighter.
- entity_definition: 90/100 — Excellent brand consistency and clear 'About' information.
- technical_accessibility: 85/100 — Strong metadata and social tags; standard crawler access assumed.
Top recommendations
- Expand Content-Specific Schema (Schema Markup): Implement Article or BlogPosting schema for the 'Behind the Science' magazine and press releases to help LLMs better index and attribute your research insights.
- Implement Author Entity Schema (Authority & Trust): Add Person schema and detailed bios for the 'Leading Scientists' mentioned in the navigation to establish E-E-A-T for medical claims.
- Add Formal Inline Citations (Citation & Source Quality): Include explicit inline citations and a 'References' section for scientific claims made on the homepage and deep pages to improve factual verification by LLMs.
- Optimize AI Crawler Permissions (Technical Accessibility): Explicitly allow AI crawlers like GPTBot and ClaudeBot in the robots.txt file to ensure full indexing of proprietary research content.
- Surface Modification Dates (Content Freshness): Ensure 'Last Updated' dates are visible on all evergreen scientific content, not just news items, to signal recency to LLM ranking algorithms.