AI Visibility
measured18/100
Emerging · in Warehouse Management (WMS)
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals56/100
Some gaps
Avg Prompt Score
6
across 391 prompts
AI Share of Voice
6%
across 391 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in Warehouse Management (WMS)
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 Bubbles is visible in
3Executive summary
usebubbles.com (Bubbles) is a B2B AI meeting notes/screen recording product with a meaningful G2 presence (14 reviews, 4.5/5). The biggest AI-citation risk is evaluation-stage coverage: while first-party comparison pages exist (e.g., /compare/*), there’s no clear evidence of SoftwareApplication/FAQPage structured data and no verified analyst/enterprise review signals (Gartner Peer Insights/Magic Quadrant). Highest-ROI fix: add/verify SoftwareApplication + FAQPage schema on product/pricing/comparison pages and ensure evaluation queries like “[Brand] pricing” and “[Brand] vs X” are fully extractable from crawlable HTML.
Based on audit of usebubbles.com · Oct 6, 2026