AI Visibility
measured16/100
Emerging · in Expense Management
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals44/100
Some gaps
Avg Prompt Score
4
across 310 prompts
AI Share of Voice
4%
across 310 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in Expense Management
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.
Comdata.com is a B2B payments/fleet operating technology brand (fuel/fleet cards, virtual cards, reporting/controls) and has meaningful AI citation anchors via LinkedIn and some first-party pricing/fee transparency. The biggest AI-visibility risk is evaluation-stage citation: there are no clearly indexable first-party comparison pages and no evidence of SoftwareApplication/FAQPage structured data, so AI engines likely rely on third-party reviews and generic web content for “alternatives” and “pricing” queries.
Based on audit of comdata.com · Aug 30, 2026