AI Visibility
measured25/100
Emerging · in Data & Analytics
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals58/100
Some gaps
Avg Prompt Score
8
across 245 prompts
AI Share of Voice
8%
across 245 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in Data & Analytics
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.
Caliper (Maptitude/TransCAD/TransModeler) is a B2B software brand with strong AI-citation inputs from G2 (4.7/5 across 148 reviews) and Gartner Peer Insights (Maptitude 4.9 across 8 ratings). The biggest AI visibility risk is structured-data/technical AEO: no crawlable evidence of SoftwareApplication/FAQPage/aggregateRating schema on caliper.com, which limits Google AI Overviews and other LLMs’ ability to confidently cite evaluation and pricing details.
Based on audit of caliper.com · Oct 5, 2026