AI Visibility
measured54/100
Frequently Cited · in Voice AI
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals22/100
Weak fundamentals
Avg Prompt Score
34
across 194 prompts
AI Share of Voice
34%
across 194 prompts
Critical Issues
4
critical + high
Shortlist Position
11/80
Niche · Voice Ai Discovery
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.
Your visibility gap
Deepgram surfaces in 11/80 Voice Ai discovery prompts. Claim this profile to see which 69 prompts you're missing and how to win them.
Deepgram is strongly positioned for AI citation on evaluation and conversion queries because it has a publicly crawlable pricing page and first-party comparison content (e.g., Deepgram vs Google Cloud Speech-to-Text, Deepgram vs AssemblyAI). The highest-risk citation pattern is “best voice recognition software for real-time transcription” and “best alternatives to Deepgram” where AI engines often require dense, self-contained evaluation blocks plus stronger secondary review/analyst signals (TrustRadius/Gartner Peer Insights) and clearer structured data (SoftwareApplication/FAQPage). The single highest-ROI fix is to add/verify SoftwareApplication + FAQPage schema on evaluation pages and ensure every evaluation query has a 134–167 word answer block that AI can quote directly from deepgram.com.
Based on audit of deepgram.com · May 6, 2026