AI Visibility
measured33/100
Emerging · in Voice AI
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals56/100
Some gaps
Avg Prompt Score
100
across 20 prompts
AI Share of Voice
100%
across 20 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in Voice AI
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.
DeepScribe is a B2B ambient AI medical scribe for specialty care (oncology focus) and already has meaningful AI-citation inputs from G2 (26 reviews) and strong LinkedIn authority (18k+ followers). The biggest AI-visibility risk is conversion-stage pricing/crawlability: DeepScribe appears to avoid a publicly readable pricing page (demo/contact flow), which blocks AI engines from citing “pricing” and “cost” answers from first-party sources.
Based on audit of deepscribe.ai · Oct 9, 2026