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

78

Strong Presence

Avg Prompt Score

52

across 955 prompts

AI Share of Voice

52%

across 955 prompts

Critical Issues

2

critical + high

Per-stage performance

🔍Discovery
612 category
Cited72%440/612
Share of voice66%avg
Engine consensus63%of engines
Competitors7.8avg/cited
Sentimentpositive6+ / 0~ / 0−
⚖️Evaluation
12 brand-level
Cited100%12/12
Share of voice84%avg
Engine consensus83%of engines
Competitors1.3avg/cited
Sentimentpositive8+ / 1~ / 0−
🛡️Trust
6 brand-level
Cited100%6/6
Share of voice84%avg
Engine consensus83%of engines
Competitors2.5avg/cited
Sentiment—no data
💰Conversion
6 brand-level
Cited100%6/6
Share of voice89%avg
Engine consensus89%of engines
Competitors3.3avg/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 Calendly is visible in

5
  • Scheduling & Calendar3 of 136→
  • Meeting Tools9 of 136→
  • Applicant Trackingnot yet measured→
  • Revenue Operationsnot yet measured→
  • Sales Engagementnot yet measured→

Executive summary

Calendly is highly likely to be cited by AI engines for evaluation and conversion queries (e.g., “Calendly pricing”, “Calendly vs [competitor]”) because it has strong third-party review authority (G2 + Gartner Peer Insights) and first-party comparison + pricing pages that are crawlable. The single highest-ROI fix is to add/verify B2B evaluation structured data (SoftwareApplication + FAQPage) on key pages (pricing, compare, and integrations) so AI engines can extract consistent, schema-backed answers.

Based on audit of calendly.com · Jul 4, 2026

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