AI Visibility
measured25/100
Emerging · in AI Applications
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals46/100
Some gaps
Avg Prompt Score
100
across 16 prompts
AI Share of Voice
100%
across 16 prompts
Critical Issues
6
critical + high
How AI Visibility breaks down
in AI Applications
Composite = 50% coverage + 30% engine breadth + 20% position, measured in the brand's strongest category. Position and citation depth join the score once the aggregation pipeline captures them. This is the measured Visibility score — separate from AEO Readiness, which scores fundamentals.
Cited rate · share of voice · engine consensus · sentiment, broken out by buyer-journey stage. Sentiment is the net positive−negative skew across engines that cited the brand at this stage.
Owkin is a B2B agentic AI platform for biopharma R&D (K Pro), and it has meaningful third-party entity presence (e.g., Wikipedia) plus first-party evaluation content (K Pro FAQs). The biggest AI-citation risk is conversion-stage and evaluation-stage discoverability: there is no clearly crawlable, public pricing page and there are no confirmed first-party comparison pages or review-platform profiles (G2/TrustRadius/Capterra/Gartner) surfaced in live search results.
Based on audit of owkin.com · Sep 19, 2026