AI Visibility
measured45/100
Frequently Cited · in AI Infrastructure
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals58/100
Some gaps
Avg Prompt Score
100
across 149 prompts
AI Share of Voice
100%
across 149 prompts
Critical Issues
4
critical + high
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.
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.
Labelbox is a strong B2B citation candidate for evaluation-stage queries because it has a meaningful G2 presence (48 reviews on G2) and appears on enterprise marketplaces like Microsoft Marketplace with ratings. The biggest AI-citation risk is conversion-stage evaluation queries that require crawlable first-party pricing and structured evaluation surfaces—especially since a public pricing page appears to have been retired/404’d (per third-party capture), forcing AI to rely on third-party pricing pages instead of Labelbox’s own tiers.
Based on audit of labelbox.com · Oct 1, 2026