AI Visibility
measured16/100
Emerging · in Observability & APM
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals9/100
Weak fundamentals
Avg Prompt Score
80
across 741 prompts
AI Share of Voice
80%
across 741 prompts
Critical Issues
3
critical + high
How AI Visibility breaks down
in Observability & APM
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 Monte Carlo is visible in
1Executive summary
montecarlodata.com is very likely to be cited by AI engines for evaluation-stage queries because it has strong G2 visibility (including “#1 Data Observability Platform” recognition and >400 customer reviews referenced on its own site) and it publishes first-party comparison content (e.g., “Monte Carlo vs. Acceldata”). The single highest-ROI fix is to strengthen structured-data + crawlability for evaluation surfaces (SoftwareApplication/FAQPage/Product+Offer) and ensure pricing is fully crawlable with explicit tiers/prices so AI can answer “pricing/cost” prompts directly from the domain.
Based on audit of montecarlodata.com · May 7, 2026