Error Monitoring Platforms
Services focused on capturing, grouping, and notifying on application exceptions and client-side errors with context for debugging and root-cause analysis.
Sentry is the default answer in AI responses for Error Monitoring Platforms
When users ask ChatGPT, Claude, or Gemini about Error Monitoring Platforms, Sentry is the brand that surfaces first - unprompted, consistently, and usually at the top of any list the model generates. Datadog 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 Leaderboard All 35 Error Monitoring Platforms brands ranked
Ranked by overall AI Visibility Score (smoothed geometric mean of LBA, Authority, and TOM with an LBA-based floor on Authority and TOM, see methodology). Click any brand for the full report.
| # | Brand | LBA | Authority | TOM | Overall |
|---|---|---|---|---|---|
| 1 |
 Sentry
sentry.io
|
91 | 100 | 100 | 97 |
| 2 |
 Datadog
datadoghq.com
|
86 | 72 | 95 | 84 |
| 3 |
 Bugsnag
bugsnag.com
|
79 | 71 | 88 | 79 |
| 4 |
 Rollbar
rollbar.com
|
76 | 57 | 84 | 71 |
| 5 |
 New Relic
newrelic.com
|
80 | 31 | 63 | 55 |
| 6 |
 Honeybadger
honeybadger.io
|
68 | 20 | 58 | 44 |
| 7 |
 Raygun
raygun.com
|
66 | 7 | 22 | 23 |
| 8 |
 PagerDuty
pagerduty.com
|
90 | 9 | 9 | 21 |
| 9 |
 Airbrake
airbrake.io
|
64 | 6 | 14 | 20 |
| 10 |
 LogRocket
logrocket.com
|
75 | 8 | 10 | 20 |
| 11 |
 AppSignal
appsignal.com
|
69 | 7 | 12 | 19 |
| 12 |
 Honeycomb
honeycomb.io
|
78 | 8 | 8 | 19 |
| 13 |
 Instabug
instabug.com
|
79 | 8 | 8 | 19 |
| 14 |
 Slack
slack.com
|
74 | 7 | 7 | 18 |
| 15 |
 Scout APM
scoutapm.com
|
70 | 7 | 7 | 17 |
| 16 |
 TrackJS
trackjs.com
|
71 | 7 | 7 | 17 |
| 17 |
 GlitchTip
glitchtip.com
|
60 | 6 | 6 | 15 |
| 18 |
 OverOps
overops.com
|
59 | 6 | 6 | 15 |
| 19 |
 Stackify
stackify.com
|
60 | 6 | 6 | 15 |
| 20 |
 Backtrace
backtrace.io
|
52 | 5 | 5 | 13 |
| 21 |
 Bird Eats Bug
birdeatsbug.com
|
53 | 5 | 5 | 13 |
| 22 |
 OpenReplay
openreplay.com
|
50 | 5 | 5 | 13 |
| 23 |
 Bugfender
bugfender.com
|
49 | 5 | 5 | 12 |
| 24 |
E
Errbit
errbit.com
|
46 | 5 | 5 | 12 |
| 25 |
 Exceptionless
exceptionless.com
|
49 | 5 | 5 | 12 |
| 26 |
 Highlight
highlight.io
|
44 | 4 | 4 | 11 |
| 27 |
 Atatus
atatus.com
|
40 | 4 | 4 | 10 |
| 28 |
 Embrace
embrace.io
|
40 | 4 | 4 | 10 |
| 29 |
 Qovery
qovery.com
|
32 | 3 | 3 | 9 |
| 30 |
 Zipy
zipy.ai
|
31 | 3 | 3 | 8 |
| 31 |
 Jam
jam.dev
|
24 | 2 | 2 | 7 |
| 32 |
E
ECS Logging
ecslogging.com
|
11 | 1 | 1 | 4 |
| 33 |
 Shake
shakebugs.com
|
13 | 1 | 1 | 4 |
| 34 |
 Bugsink
bugsink.com
|
9 | 1 | 1 | 3 |
| 35 |
C
CrashKiOS
crashkios.com
|
0 | 0 | 0 | 0 |
How is this calculated? Methodology
Every brand in this leaderboard is scored against the same set of 270 shared Error Monitoring Platforms prompts. The same prompts, same model, same iterations. So differences in scores reflect actual differences in AI visibility, not differences in measurement.
Overall AI Visibility Score
composite = ((LBA + 5)(Authority + 5)(TOM + 5))^(1/3) - 5. The floor keeps brands the model clearly recognises but doesn't yet recommend from collapsing to zero, while a single genuinely weak metric still pulls the composite down. Full methodology.
Shared industry prompts
Latent Brand Association (LBA)
quality × meta × stability × share × recognition × 100. Read the full LBA methodology →