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

56

Growing Presence

Avg Prompt Score

94

across 104 prompts

AI Share of Voice

100%

across 88 prompts

Critical Issues

4

critical + high

Per-stage performance

🔍Discovery
69 category
Cited100%69/69
Share of voice100%avg
Engine consensus—
Competitors0.0avg/cited
Sentiment—no data
⚖️Evaluation
6 brand-level
Cited100%6/6
Share of voice100%avg
Engine consensus100%of engines
Competitors1.7avg/cited
Sentiment—no data
🛡️Trust
5 brand-level
Cited100%5/5
Share of voice100%avg
Engine consensus100%of engines
Competitors1.0avg/cited
Sentiment—no data
💰Conversion
4 brand-level
Cited25%1/4
Share of voice25%avg
Engine consensus—
Competitors0.0avg/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.

Executive summary

Calabrio is highly likely to be cited by AI engines for evaluation-stage queries because it has strong third-party review presence (e.g., G2 and TrustRadius) and first-party comparison content (e.g., “Calabrio vs. NICE”). The single highest-ROI fix is to improve conversion-stage crawlability by publishing a truly crawlable, tiered pricing page (not “Get a Quote/Contact us”), because pricing is where AI often fails to cite brands for cost/plan questions.

Based on audit of calabrio.com · Jun 9, 2026

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