AI Visibility Report: Observability & Monitoring
30 brands, 10 AI models, 1,000+ responses analyzed. Who dominates AI visibility in observability and monitoring? Who's invisible? The data tells the story.
Key Findings
Datadog leads AI visibility in the observability and monitoring space with a 78.3% visibility score across 10 AI models. The median brand sits at just 9%. AI visibility does not correlate with brand size, marketing spend, or product quality — it correlates with machine legibility.
AI Visibility Rankings — Top 15 of 30 Brands
- Datadog — 78.3% (10/10 models)
- Grafana — 65.6% (10/10 models)
- Prometheus — 55.8% (10/10 models)
- New Relic — 55.6% (10/10 models)
- Dynatrace — 46.9% (10/10 models)
- Splunk — 38.7% (10/10 models)
- Elastic — 35.5% (10/10 models)
- SigNoz — 22.6% (10/10 models)
- OpenObserve — 16.8% (6/10 models)
- Netdata — 15.3% (10/10 models)
- Honeycomb — 15.2% (10/10 models)
- Zabbix — 14.5% (10/10 models)
- Dash0 — 13.4% (7/10 models)
- SolarWinds — 13% (10/10 models)
- AppDynamics — 11.2% (9/10 models)
Methodology
100 prompts were run across 10 AI models (ChatGPT, Claude, Gemini, Perplexity, DeepSeek, Grok, Mistral, Qwen, Llama, Command R) to measure how 30 observability & monitoring brands appear in AI responses. The weighted visibility score accounts for recommendation frequency, ranking position, and model coverage.
Report Sections
- The Thesis
- What We Measured
- How We Measure AI Visibility
- AI Visibility Rankings
- What the Models Reveal About Themselves
- Where the Models Disagree
- Head-to-Head: Who Wins When AI Decides
- The Visibility Landscape, Mapped
- The Sources AI Trusts
- What Kind of Content AI Actually Cites
- AI on Pricing
- Do AI Models Play Favorites?
- How Different Model Categories See the Market
- The Playbook
- Methodology
Download the full PDF report
