AI Visibility
measured55/100
Frequently Cited · in IT Service Management
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals78/100
Solid fundamentals
Avg Prompt Score
45
across 1091 prompts
AI Share of Voice
45%
across 1091 prompts
Critical Issues
2
critical + high
Brand Accuracy
2/214
citations with inaccuracies
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/on-call and AIOps evaluation queries because it has strong third-party review authority (G2 972 reviews, 4.5/5) plus enterprise credibility via Gartner Peer Insights (4.6 with 120 ratings). The single highest-ROI fix is to strengthen first-party evaluation surfaces beyond existing competitor pages (e.g., ensure every key evaluation query has a brand-led, crawlable FAQ/SoftwareApplication-backed page), so models can cite PagerDuty directly for “vs/alternatives/pricing” patterns rather than relying primarily on G2/TrustRadius.
Based on audit of pagerduty.com · Oct 25, 2026