AI Visibility
measured52/100
Frequently Cited · in Sales Engagement
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals20/100
Weak fundamentals
Avg Prompt Score
63
across 772 prompts
AI Share of Voice
62%
across 760 prompts
Critical Issues
2
critical + high
How AI Visibility breaks down
in Sales Engagement
Composite = 60% coverage + 40% engine breadth, 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
Aircall is highly likely to be cited by AI engines for evaluation-stage queries because it has strong G2 review volume (1,573 reviews) and transparent, tiered pricing on its own domain. The biggest risk pattern is conversion-stage “pricing schema / machine-readable pricing” and structured evaluation Q&A: the pricing page is crawlable, but no SoftwareApplication/FAQPage/AggregateRating-style structured data was detected in the fetched pricing HTML, limiting rich AI citation.
Based on audit of aircall.io · Jun 8, 2026