AI Visibility
measured18/100
Emerging · in AI Infrastructure
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals58/100
Some gaps
Avg Prompt Score
100
across 17 prompts
AI Share of Voice
100%
across 17 prompts
Critical Issues
3
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.
Labellerr is likely to be cited by AI engines for evaluation-stage queries because it has a public pricing page with explicit tiers and it appears on G2 with a High Performer badge. The biggest citation risk is conversion-stage “brand pricing/cost” and evaluation-stage “brand vs competitor” queries if first-party comparison pages and structured evaluation Q&A (FAQPage/SoftwareApplication) are missing or not crawlable.
Based on audit of labellerr.com · Sep 29, 2026