[unCited]
ProductCitation IndexAI InfluenceBlogBook
[unCited]/Aircall
ProductCitation IndexAI InfluenceBlogBook
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AEO Score

20

Limited Presence

Avg Prompt Score

59

across 616 prompts

AI Share of Voice

59%

across 616 prompts

Category Visibility

#18

in Contact Center · of 72

Critical Issues

2

critical + high

Per-stage performance

🔍Discovery
411 category
Cited66%272/411
Share of voice60%avg
Engine consensus44%of engines
Competitors6.0avg/cited
Sentiment—no data
⚖️Evaluation
4 brand-level
Cited100%4/4
Share of voice100%avg
Engine consensus100%of engines
Competitors5.0avg/cited
Sentiment—no data
🛡️Trust
4 brand-level
Cited100%4/4
Share of voice100%avg
Engine consensus100%of engines
Competitors5.0avg/cited
Sentiment—no data
💰Conversion
4 brand-level
Cited100%4/4
Share of voice100%avg
Engine consensus100%of engines
Competitors5.0avg/cited
Sentiment—no data

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 Aircall is visible in

2
  • Contact Center18 of 72→
  • Sales Engagement25 of 100→

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

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