AI Visibility
measured26/100
Emerging · in Payment Processing
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals62/100
Some gaps
Avg Prompt Score
19
across 124 prompts
AI Share of Voice
13%
across 107 prompts
Critical Issues
3
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.
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.
Razorpay is highly likely to be cited by AI engines for evaluation-stage queries because it has a strong G2 presence (173 reviews on G2 product page) and a publicly crawlable pricing page. The biggest citation risk is conversion-stage “pricing plan” and evaluation “vs/alternatives” queries that require first-party, crawlable comparison/structured pricing content (not just blog explanations).
Based on audit of razorpay.com · Oct 7, 2026