AI Visibility
measured55/100
Frequently Cited · in IT Service Management
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals74/100
Solid fundamentals
Avg Prompt Score
47
across 1043 prompts
AI Share of Voice
47%
across 1020 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in IT Service Management
Composite = 50% coverage + 30% engine breadth + 20% position, 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.
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.
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