AI Visibility
measured33/100
Emerging · in AI Infrastructure
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals45/100
Some gaps
Avg Prompt Score
4
across 541 prompts
AI Share of Voice
4%
across 541 prompts
Critical Issues
5
critical + high
Shortlist Position
0/80
Not Visible · Ai Automation Discovery
How AI Visibility breaks down
in AI Infrastructure
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 Dataloop is visible in
2Your visibility gap
Dataloop surfaces in 0/80 Ai Automation discovery prompts. Claim this profile to see which 80 prompts you're missing and how to win them.
Executive summary
Dataloop.ai has solid B2B citation anchors (notably 89 G2 reviews) and first-party comparison content (e.g., Dataloop vs Encord). The biggest reason it’s missing from high-intent “AI & automation software” shortlist queries is that its site content and structured data are not clearly aligned to those buyer JTBDs (healthcare ops, marketing automation, scheduling/reminders, e-commerce automation) and there’s no evidence of SoftwareApplication/FAQPage structured evaluation surfaces.
Based on audit of dataloop.ai · Sep 1, 2026