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AI visibility report

AI visibility report for Sentry in Observability & Monitoring.

Outside the top three on 25 of the 25 prompts buyers actually ask.

Datadog is cited on 17 of those losses.

25 prompts
6 platforms
Updated Aug 13, 2026 - refreshed weekly
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0percent
Presence Rate
Low presence

Still absent from 100% of tracked prompt responses

Top-3 citations across 150 prompt × platform pairs

N/A
Sentiment
-1.00.0+1.0
Unknown
No clearrank

Peer Ranking

#1#14
No clear rankin Observability & Monitoring

Key Metrics

Presence Rate0.0%
Share of Voice0.0%
Avg PositionN/A
Docs Presence0.0%
Blog Presence0.0%
Brand Mentions8.0%

Platform Breakdown

Gemini Search
0%0/25 prompts
Bing Copilot
0%0/25 prompts
ChatGPT
0%0/25 prompts
Perplexity
0%0/25 prompts
Google AI Mode
0%0/25 prompts
Grok
0%0/25 prompts

How to read this. Sentry appears in 0% of tracked prompt responses. Presence is absolute coverage; share of voice is relative citation share; sentiment measures tone only when the brand appears.

Where Sentry is losing

Prompts where competitors are visible and Sentry is not.

These prompt-level losses are the first prompts to track and repair.

Where Sentry is winning

No clear strengths identified yet.

Where Sentry is losing5

  • Which observability platforms make it easiest to correlate a user-reported error with the right trace and log lines in a distributed system?

    Competitors on 6 platforms

    Track this prompt
  • Which APM tools integrate best with cloud provider managed databases and serverless functions for end-to-end visibility?

    Competitors on 4 platforms

    Track this prompt
  • Which observability platforms integrate with deployment pipelines to correlate performance regressions with specific code changes?

    Competitors on 4 platforms

    Track this prompt
  • Which observability platforms handle data retention and query performance best as log volume grows into terabytes per day?

    Competitors on 4 platforms

    Track this prompt
  • Which observability platforms support real user monitoring alongside backend APM for correlating frontend and backend performance?

    Competitors on 4 platforms

    Track this prompt

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Research dossierCapabilities, use cases, sources, reviews, pricing, and FAQ

Overview

Sentry is tracked in DevTune's Observability & Monitoring benchmark. This page combines public AI search visibility measurements with reviewed brand context when available.

Key Facts

Target users

Developer teamsTechnical buyers

Recent Trend

Visibility+0.0 pts
Avg positionNo trend yet
SentimentNo trend yet

How AI describes Sentry3

...s to telemetry; more DIY than Datadog/New Relic \[3\] | High-cardinality tracing and engineering-driven investigation | | Sentry | Releases and deploy information can be correlated with errors/performance | Yes — particularly useful for release-l...

Which observability platforms integrate with deployment pipelines to correlate performance regressions with specific code changes?

chatgpt-searchDirect Sentry mention
...ce | | New Relic | ⭐⭐⭐⭐½ | ⭐⭐⭐⭐ | Teams wanting broad automatic coverage | | Honeycomb | ⭐⭐⭐⭐ | ⭐⭐⭐⭐⭐ for investigation | High-cardinality, SLO-driven teams | | Sentry | ⭐⭐⭐⭐½ | ⭐⭐⭐⭐½ for app regressions | Product/application teams | ### 1\.

Which monitoring platforms have the best anomaly detection — automatically surfacing regressions without manual threshold tuning?

chatgpt-searchDirect Sentry mention
...est/easiest | | New Relic | ⭐⭐⭐⭐ | ⭐⭐⭐⭐ | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐ | Best generous free tier | | Datadog | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐⭐ | ⭐⭐ | Best polished all-in-one | | Sentry | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐ | ⭐⭐⭐ | ⭐⭐⭐⭐ | Best for application errors | ### 1\.

What observability platforms can a small engineering team realistically get to meaningful dashboards and alerting on quickly?

chatgpt-searchDirect Sentry mention

Most cited sources

No cited source mix is available for this brand yet.

Topic coverageCoverage by buyer topic

Topic Coverage

Capability0/5DevEx0/5Integrations &Ecosystem0/5Performance &Reliability0/5Setup & First Run0/5

Prompt-Level Results

Brand citedCompetitor citedNot cited
PromptGemini SearchBing CopilotChatGPTPerplexityGoogle AI ModeGrok
Capability0/5 cited (0%)

I'm evaluating observability platforms — which ones are best suited for a logs-first approach versus a traces-first approach?

Which enterprise observability platforms handle multi-tenant environments with isolated views per team or service best?

Which monitoring platforms have the best anomaly detection — automatically surfacing regressions without manual threshold tuning?

Which observability platforms support business-level metrics like conversion funnels alongside infrastructure and application telemetry?

Which observability platforms support real user monitoring alongside backend APM for correlating frontend and backend performance?

Developer Experience0/5 cited (0%)

Which observability platforms have the best ad-hoc query experience for high-cardinality log data during an active incident?

Which observability platforms make it easiest for developers new to OpenTelemetry to adopt a trace-first workflow?

Which observability platforms make it easiest to correlate a user-reported error with the right trace and log lines in a distributed system?

Which monitoring platforms offer the best on-call experience — from alert firing through to root cause identification?

Which observability platforms have the best alert management features to help teams reduce alert fatigue through smart routing and thresholds?

Integrations & Ecosystem0/5 cited (0%)

What log shipping tools work best for getting structured logs from containerized applications to an observability platform without code changes?

Which APM tools integrate best with cloud provider managed databases and serverless functions for end-to-end visibility?

Which observability platforms integrate with deployment pipelines to correlate performance regressions with specific code changes?

Which observability backends support receiving OpenTelemetry data simultaneously to avoid vendor lock-in?

Which observability platforms integrate best with incident management and on-call scheduling tools for a seamless response workflow?

Performance & Reliability0/5 cited (0%)

What observability platforms offer the best tail-based sampling for high-throughput systems to control costs without losing important traces?

Which cloud observability platforms have the most reliable synthetic monitoring checks with the lowest false positive rates?

Which SaaS monitoring platforms have the lowest ingestion lag during high-volume log bursts so alerting stays fast?

Which observability platforms handle data retention and query performance best as log volume grows into terabytes per day?

Which distributed tracing platforms add the least overhead to latency-sensitive APIs — safe to run in production at full sampling?

Setup & First Run0/5 cited (0%)

What observability platforms support unified metrics, traces, and logs instrumentation for Node.js and Python polyglot applications?

What's the quickest distributed tracing platform to set up across a microservices architecture on a container orchestration platform?

What observability platforms can a small engineering team realistically get to meaningful dashboards and alerting on quickly?

Which APM tools have the best day-one onboarding to get immediate value without drowning in noise?

What are the best cloud-hosted observability platforms for migrating from a legacy self-hosted logging stack without losing historical data?

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Vertical Ranking

#BrandPres.SoVDocsBlogMent.PosSentiment
1New Relic29.3%21.7%8.0%20.0%58.7%#11.1+0.43
2Datadog22.0%17.6%10.0%9.3%73.3%#13.9+0.49
3Grafana15.3%14.1%12.0%1.3%9.3%#18.2+0.58
4Dynatrace10.7%12.9%8.0%4.0%42.0%#33.3+0.55
5Honeycomb10.0%10.6%6.0%4.7%27.3%#19.7+0.57
6Splunk10.0%8.5%1.3%5.3%30.0%#21.5+0.41
7Elastic7.3%5.9%2.0%0.0%27.3%#16.5+0.47
8Coralogix5.3%2.6%0.0%0.0%7.3%#4.3+0.38
9Logz.io4.7%2.3%0.0%3.3%2.7%#9.8+0.53
10Better Stack3.3%2.1%0.7%0.7%5.3%#27.4+0.40
11Chronosphere0.7%0.6%0.0%0.0%1.3%#31.5+0.80
12Axiom0.7%0.9%0.0%0.7%4.7%#74.7+0.80
13Mezmo0.7%0.3%0.7%0.0%0.7%#75.0+0.80
14Sentry0.0%0.0%0.0%0.0%8.0%

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