AI Visibility
measured46/100
Frequently Cited · in Payment Processing
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals13/100
Weak fundamentals
Avg Prompt Score
38
across 223 prompts
AI Share of Voice
38%
across 223 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.
Categories Afterpay is visible in
1Executive summary
Afterpay is likely to be cited by AI engines for BNPL/payment-choice queries because it has strong third-party entity presence (Wikipedia/Wikidata) and meaningful review visibility on G2 (43 reviews, 4.2/5). The biggest risk for AI citation is evaluation-style queries that require crawlable, structured “pricing + comparison” content on afterpay.com (no clear first-party pricing tiers found; no evidence of SoftwareApplication/FAQPage/AggregateRating structured data). Highest-ROI fix: publish/ensure crawlable, SSR pricing/plan details and add evaluation-targeted FAQ/structured data so AI can answer “cost/pricing” and “how it compares” directly from afterpay.com.
Based on audit of afterpay.com · Oct 7, 2026