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

74

Strong Presence

Avg Prompt Score

14

across 645 prompts

AI Share of Voice

12%

across 622 prompts

Category Visibility

#7

in IT Service Management · of 98

Critical Issues

4

critical + high

Per-stage performance

🔍Discovery
382 category
Cited26%100/382
Share of voice11%avg
Engine consensus41%of engines
Competitors37.3avg/cited
Sentiment—no data
⚖️Evaluation
14 brand-level
Cited79%11/14
Share of voice79%avg
Engine consensus100%of engines
Competitors0.8avg/cited
Sentiment—no data
🛡️Trust
7 brand-level
Cited100%7/7
Share of voice100%avg
Engine consensus100%of engines
Competitors0.9avg/cited
Sentiment—no data
💰Conversion
5 brand-level
Cited100%5/5
Share of voice100%avg
Engine consensus100%of engines
Competitors1.0avg/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 Pagerduty is visible in

3
  • IT Service Management7 of 98→
  • Developer Tools17 of 224→
  • Observability & APM18 of 44→

Executive summary

PagerDuty is highly likely to be cited by AI engines for incident-management evaluation queries because it has strong G2 authority (916 reviews, 4.5★) and first-party, competitor-specific comparison pages (e.g., PagerDuty vs incident.io, PagerDuty vs Opsgenie, PagerDuty vs Rootly, PagerDuty vs FireHydrant). The single highest-ROI fix is to strengthen structured-data coverage (SoftwareApplication/FAQPage) and ensure AI can reliably extract pricing + evaluation answers from crawlable, SSR-rendered pages for prompts like “How much does PagerDuty cost?” and “Is PagerDuty worth it for mid-market and enterprise IT operations teams?”.

Based on audit of pagerduty.com · Apr 2, 2026

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