Industry Report

Application Performance Monitoring

Platforms that collect, analyze, and visualize application metrics, traces, and errors to help engineers detect and resolve performance issues.

Brands tracked: 34

Brands analyzed: 34

Last updated: 2026-04-22

Model: OpenAI GPT-5

Prompts: 269

Total responses: 1,365

Top Brand Overall?

Datadog

96/100

Highest overall AI Visibility Score in this industry.

LBA Leader?

Dynatrace

Highest score on the LBA metric.

Authority Leader?

Datadog

100

Highest score on the Authority metric.

TOM Leader?

Datadog

100

Highest score on the TOM metric.

Datadog is the default answer in AI responses for Application Performance Monitoring

When users ask ChatGPT, Claude, or Gemini about Application Performance Monitoring, Datadog is the brand that surfaces first - unprompted, consistently, and usually at the top of any list the model generates. New Relic is a close second, but the gap between them is meaningful. If you're competing in this space and you're not in the top handful, you're effectively invisible to AI-driven discovery.

#	Brand	LBA	Authority	TOM	Overall
1	Datadog datadoghq.com	89	100	100	96
2	New Relic newrelic.com	79	78	92	83
3	Dynatrace dynatrace.com	92	59	95	80
4	Grafana grafana.com	80	44	74	64
5	Elastic elastic.co	86	33	77	60
6	Honeycomb honeycomb.io	81	18	54	43
7	AppDynamics appdynamics.com	76	15	66	42
8	Sentry sentry.io	84	13	40	35
9	Splunk splunk.com	70	9	53	32
10	OpenTelemetry opentelemetry.io	82	28	9	28
11	Prometheus prometheus.io	76	4	25	20
12	Jaeger jaegertracing.io	86	3	2	9
13	Cisco cisco.com	79	0	9	2
14	AppSignal appsignal.com	66	0	2	1
15	Chronosphere chronosphere.io	62	0	1	1
16	Instana instana.com	77	0	1	1
17	Scout APM scoutapm.com	72	0	4	1
18	Atatus atatus.com	40	0	0	0
19	Blue Matador bluematador.com	25	0	0	0
20	Coralogix coralogix.com	73	0	0	0
21	eG Innovations eginnovations.com	61	0	0	0
22	groundcover groundcover.com	52	0	0	0
23	HyperDX hyperdx.io	45	0	0	0
24	LogicMonitor logicmonitor.com	58	0	0	0
25	Lumigo lumigo.io	68	0	0	0
26	ManageEngine ServiceDesk Plus manageengine.com	50	0	0	0
27	Middleware middleware.io	31	0	0	0
28	Observe observeinc.com	36	0	0	0
29	Raygun raygun.com	66	0	0	0
30	Sematext sematext.com	59	0	0	0
31	SigNoz signoz.io	66	0	0	0
32	Site24x7 site24x7.com	76	0	0	0
33	SolarWinds Web Help Desk solarwinds.com	36	0	0	0
34	Stackify stackify.com	60	0	0	0

Overall AI Visibility Score

Geometric mean of LBA, Authority and TOM: (LBA × Authority × TOM)^(1/3). Geometric mean is used so that any single weak metric pulls the overall score down, rather than being masked by strength elsewhere.

Shared industry prompts

For Authority and TOM, all brands in the industry are scored against the same 269 category prompts (e.g. "best SEO tools for agencies"). This makes brand-to-brand comparisons valid - everyone faces identical inputs. LBA prompts are per-brand because they ask brand-specific questions.

Latent Brand Association (LBA)

5 brand probes + 1 control prompt, each run 5 times in recall mode (no web search). LBA = quality × meta × stability × share × recognition × 100. Read the full LBA methodology →

LLM Authority

50 organic category prompts (discovery, comparison, problem and transactional intents), each run once in recall mode and once in retrieval mode. Score = frequency × log-decayed prominence × intent weight, then 50/50 averaged across the two modes. Read the full Authority methodology →

Top of Mind (TOM)

15 high-volume discovery prompts (sourced from Keywords Everywhere search-volume data), each run 5 times in pure recall mode (no web). Score = frequency × (0.5 + 0.5 × log-prominence), volume-weighted. Read the full TOM methodology →

Application Performance Monitoring

Datadog is the default answer in AI responses for Application Performance Monitoring

Brand Leaderboard All 34 Application Performance Monitoring brands ranked

How is this calculated? Methodology

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