AI Visibility
measured41/100
Frequently Cited · in Developer Tools
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals48/100
Some gaps
Avg Prompt Score
28
across 211 prompts
AI Share of Voice
28%
across 211 prompts
Critical Issues
4
critical + high
Shortlist Position
0/80
Not Visible · Observability Apm Discovery
How AI Visibility breaks down
in Developer Tools
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.
Per-stage performance
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 Gatling is visible in
1Your visibility gap
Gatling surfaces in 0/80 Observability Apm discovery prompts. Claim this profile to see which 80 prompts you're missing and how to win them.
Executive summary
Gatling is a B2B load/performance testing platform with strong third-party visibility (G2 reviews exist and Gartner Peer Insights has a product page), but it is not showing up for observability/APM shortlist queries like “best observability software for small businesses” and “APM tools for DevOps teams.” The single highest-ROI fix is to create/expand first-party, crawlable observability/APM positioning pages (including “what is observability software” and “APM for cloud-native environments” use-case pages) that map Gatling’s performance testing + SLO/telemetry outcomes to observability language so AI engines can cite it for those discovery prompts.
Based on audit of gatling.io · Sep 4, 2026