Observability & Monitoring

AI Visibility Report: Observability & Monitoring

30 brands · 10 AI models · 100 prompts · 1,000 responses · April 2026

The Thesis

We ran 100 prompts across 10 AI models to see how 30 observability brands show up in AI responses. The results are stark. AI visibility in this space is radically concentrated. Most brands are functionally invisible.

Datadog leads with a 78.3% visibility score. The median brand sits at 9%. That's not a gap. That's a chasm.

The most important finding: AI visibility does not correlate with brand size, marketing spend, or product quality. It correlates with machine legibility. How well your information is structured for AI consumption, how frequently your brand appears in sources AI models trust, and how consistently you show up across different query types.

"Datadog captures 78% AI visibility while the median brand sits at 9%. The gap isn't about marketing spend. It's about machine legibility."

78.3%#1 visibility scoreDatadog
9%Median visibilityMost brands are invisible
10AI models testedChatGPT to DeepSeek
30Brands analyzed1,000 total responses
AI Visibility Rankings

Who AI recommends in observability

Ranked by weighted visibility score across all 10 AI models. Top 15 of 30 brands shown.

#BrandAI VisibilityModels
1
Datadog
78.3
10/10
2
Grafana
65.6
10/10
3
Prometheus
55.8
10/10
4
New Relic
55.6
10/10
5
Dynatrace
46.9
10/10
6
Splunk
38.7
10/10
7
Elastic
35.5
10/10
8
SigNoz
22.6
10/10
9
OpenObserve
16.8
6/10
10
Netdata
15.3
10/10
11
Honeycomb
15.2
10/10
12
Zabbix
14.5
10/10
13
Dash0
13.4
7/10
14
SolarWinds
13
10/10
15
AppDynamics
11.2
9/10

15 more brands in the full report, including per-model breakdowns.

What's in the Full Report

Model-by-model analysis

How ChatGPT, Claude, Gemini, Perplexity, DeepSeek, and 5 more models each see the observability market. They don't agree.

Head-to-head matchups

Direct comparisons between competing brands. Who wins when AI has to pick one? The answer changes by model.

Visibility landscape map

Every brand plotted on visibility vs recommendation strength. Four quadrants: Champions, Cult Favorites, Also-Rans, Ghosts.

Citation source analysis

Which websites, forums, and platforms do AI models actually cite when recommending observability tools?

AI on pricing accuracy

We checked what AI says about pricing for every brand. The error rates will surprise you.

The playbook

Concrete recommendations for improving your AI visibility based on what the data shows actually works.

Full Table of Contents
  1. 01The Thesis
  2. 02What We Measured
  3. 03How We Measure AI Visibility
  4. 04AI Visibility Rankings
  5. 05What the Models Reveal About Themselves
  6. 06Where the Models Disagree
  7. 07Head-to-Head: Who Wins When AI Decides
  8. 08The Visibility Landscape, Mapped
  9. 09The Sources AI Trusts
  10. 10What Kind of Content AI Actually Cites
  11. 11AI on Pricing
  12. 12Do AI Models Play Favorites?
  13. 13How Different Model Categories See the Market
  14. 14The Playbook
  15. 15Methodology

Get the full report

All 30 brand rankings. Model-by-model breakdowns. Citation analysis. Head-to-head matchups. Pricing accuracy. The actionable playbook.

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Related
GlossaryWhat is AI Visibility? →GuideHow to Improve Your AI Visibility →BlogThe Complete Guide to AEO →

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