AI Visibility
measured27/100
Emerging · in Payment Processing
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals56/100
Some gaps
Avg Prompt Score
92
across 86 prompts
AI Share of Voice
100%
across 69 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in Payment Processing
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.
Executive summary
Mangopay is a B2B payments infrastructure vendor with strong AI-citation inputs from G2 (42 reviews) and a public, crawlable pricing page (though it routes to “contact sales” for exact fees). The biggest risk for AI engines is conversion-stage citation for “Mangopay pricing/cost” and evaluation-stage citation for “Mangopay vs competitor” because first-party comparison/structured evaluation content and B2B schema signals were not found in the live crawl.
Based on audit of mangopay.com · Aug 29, 2026