AI Visibility
measured18/100
Emerging · in AI Applications
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals46/100
Some gaps
Avg Prompt Score
78
across 15 prompts
AI Share of Voice
78%
across 15 prompts
Critical Issues
4
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.
Per-stage performance
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.
Categories Unlearn.ai is visible in
1Executive summary
Unlearn.ai is a B2B clinical development platform and has strong first-party product messaging plus recent blog cadence, but it is at high risk of being under-cited for evaluation and conversion queries because key conversion assets (notably public pricing) and B2B structured/compare surfaces are not clearly crawlable/indexed. The single highest-ROI fix is to publish a crawlable pricing page (public tiers/prices) and add first-party evaluation content that directly targets the exact comparison and cost prompts (e.g., Unlearn.ai vs Miro/Alteryx/Jitterbit) so AI engines can cite Unlearn.ai for shortlist formation.
Based on audit of unlearn.ai · Aug 31, 2026