# Sentry AI visibility in Error Tracking & Crash Reporting

Canonical: https://devtune.ai/verticals/error-tracking-crash-reporting/sentry

[Website](https://sentry.io/)

Updated: 2026-10-15T14:04:43.991732+00:00
Prompts: 25
Runs: 6


## Platforms

- chatgpt-search
- google-ai
- perplexity
- google-ai-mode
- bing-copilot-search
- xai-search

Rank: 1
Total brands: 11
Measured responses: 150
Presence percent: 57.333333333333336
Share of voice percent: 39.97050147492625
Average position: 19.59778597785978
Docs presence percent: 42.66666666666667
Blog presence percent: 12.666666666666668
Brand mention percent: 98


## Profile

Overview: Sentry is a San Francisco-based developer observability platform founded in 2012, widely recognized as the category-defining open-source error tracking tool. The platform captures, groups, and contextualizes errors, crashes, and performance issues in real time across web, mobile, game, and AI-powered applications. Sentry's unified approach connects error events, distributed traces, session replays, structured logs, and code profiling under a single correlated data model. Its Seer AI engine performs automated root-cause analysis and generates code patches directly from production context. Operating a self-serve SaaS model with SDKs for 100+ languages, Sentry serves over 150,000 organizations and 4 million developers globally, including Microsoft, Disney+, Anthropic, GitHub, Cloudflare, and Instacart.
Product summary: Sentry is an application monitoring and error tracking platform that helps developers identify, reproduce, and fix software defects and performance regressions in production. It combines error monitoring, distributed tracing, session replay, structured logs, profiling, and AI-assisted debugging in one SDK-integrated platform, enabling engineering teams to go from alert to root cause to code fix without switching tools.


### Key capabilities

- Real-time error monitoring with automatic issue grouping, deduplication, and full stack traces
- Distributed tracing across microservices, serverless, and third-party APIs
- Session replay with user-interaction recording, network capture, and privacy controls
- Seer AI debugger: automated root-cause analysis and merge-ready patch generation
- AI code review (Seer) that flags regressions in pull requests before merge
- Continuous and UI performance profiling
- Structured log capture correlated with errors and traces in a unified view
- Cron and uptime monitoring
- AI/LLM and AI-agent observability for prompts, tool calls, and token usage
- Mobile and game crash reporting via native SDKs for iOS, Android, Flutter, and React Native



### Target users

- Software engineers and full-stack developers at startups and enterprises
- Mobile developers building iOS, Android, Flutter, and React Native applications
- DevOps and SRE teams responsible for production reliability and incident response
- Engineering managers tracking error budgets and release quality
- AI/ML engineers building and operating LLM-powered and agentic applications



### Key use cases

- Production error detection and triage for web, mobile, and backend applications
- Distributed system performance monitoring and slow query / N+1 diagnosis
- Reproducing user-reported bugs via session replay without manual repro steps
- AI-assisted automated fix generation for production incidents
- Mobile crash reporting and release health tracking
- LLM and AI-agent observability for AI-powered products
- Release quality tracking linking errors to specific commits, PRs, and code owners
- On-call alerting and incident response via Slack, PagerDuty, and Linear

Integrations ecosystem: Sentry offers 50+ integrations spanning source control (GitHub, GitLab, Bitbucket, GitHub Enterprise, Azure DevOps), issue tracking (Jira with two-way sync, Linear, Asana), alerting and on-call (Slack, PagerDuty, Microsoft Teams, Opsgenie), deployment (Vercel, Heroku), observability data forwarding (Datadog, Splunk, Segment), and identity/SSO (Okta, OneLogin, SAML2/SCIM). SDKs cover 100+ languages and frameworks including JavaScript, Python, Java, Ruby, PHP, Go, .NET, Swift, Kotlin, React, Next.js, Vue, Angular, Laravel, Django, Flutter, and React Native. A Model Context Protocol (MCP) server enables Sentry data and Seer AI to be invoked directly by AI coding agents such as Cursor and Claude Code.
Pricing summary: Sentry offers four tiers. Developer (free): 1 user, 5K errors/month, 5M spans, 50 session replays, 30-day retention. Team: $26/month (billed annually), unlimited users, 50K errors, third-party integrations, Seer AI debugging available as add-on. Business: $80/month (billed annually), adds 90-day data retention, unlimited metric alerts with anomaly detection, advanced quota management, and SAML+SCIM. Enterprise: custom pricing with a dedicated technical account manager and premium support. Usage above included quotas is billed pay-as-you-go (e.g., $0.0003625 per error for 50K–100K errors on the Team plan). Seer AI autofix and code review features are an additional subscription on paid plans.
Review summary: Sentry earns strong ratings on G2 (4.5/5 from 516 reviews) and Gartner Peer Insights (4.4/5 from 44 reviews). Reviewers consistently highlight the ease of SDK integration, depth of error context (stack traces, suspect commits, session replay), and reliable Slack alerting as top strengths. Recurring criticisms include alert noise when misconfigured, suboptimal automatic error grouping, a steep UI learning curve for newcomers, and pricing that can escalate quickly at scale.
Competitive positioning: Sentry positions itself as the developer-first, open-source-rooted application monitoring platform differentiated by a unified data model that correlates errors, distributed traces, session replays, structured logs, and profiling in a single view. Its SDK-based onboarding (no agents, five lines of code) and self-serve model—accounting for roughly 70% of revenue—drive bottom-up viral adoption within enterprises. The Seer AI engine, which performs automated root-cause analysis and generates merge-ready code patches directly from production error context, is a key current differentiator versus narrower error trackers and broader APM suites alike.
Limitations: Users report that Sentry can produce excessive noise if SDK sampling and alert rules are not carefully configured. Automatic error grouping and fingerprinting logic is frequently cited as suboptimal, requiring manual adjustment. The UI is considered complex and overwhelming for new users. Pricing can escalate significantly at high event volumes, and quota management requires active monitoring to avoid unexpected overages. Seer AI features (autofix, AI code review) require a separate add-on subscription on top of base plan costs. Self-hosted deployment is available but may lack some cloud-only features.


### Source urls

- https://sentry.io/about/
- https://sentry.io/pricing/
- https://www.g2.com/products/sentry/reviews
- https://sacra.com/c/sentry/
- https://research.contrary.com/company/sentry
- https://tracxn.com/d/companies/sentry/__xY1QS-chu9yx61SH6md5umn0GKsaBgfj6yyhrReLyRA
- https://www.gartner.com/reviews/market/observability-platforms/compare/elastic-vs-sentry
- https://sentry.io/integrations/

Reviewed at: 2026-04-28T23:14:21.002+00:00


### Customer outcomes

| Customer | Summary | Metric |
| --- | --- | --- |
| Anthropic | Anthropic's systems team uses Sentry to debug hardware-related production incidents; the systems lead credited Sentry as essential to the company's ability to scale, stating the team debugs most incidents entirely within the platform. | Not available |
| Disney+ | Disney+ relies on Sentry to maintain service quality for its tens of millions of global subscribers, with a director of Disney Streaming Services citing Sentry's tooling as a key factor in service reliability. | Not available |
| Instacart | Instacart adopted Sentry as its most reliable software issue signal across services regardless of language or framework, with an infrastructure software engineer noting it is used throughout the organization. | Not available |



### Reviews breakdown

| Platform | Score | Score max | Review count | Url |
| --- | --- | --- | --- | --- |
| G2 | 4.5 | 5 | 516 | https://www.g2.com/products/sentry/reviews |
| Gartner Peer Insights | 4.4 | 5 | 44 | https://www.gartner.com/reviews/product/sentry?marketSeoName=observability-platforms |



### Review themes



#### Praised

- Fast and easy SDK integration across languages and frameworks
- Rich error context including stack traces and suspect commits
- Session replay for bug reproduction without manual repro steps
- Reliable Slack alerting and notification routing
- Broad multi-language and multi-framework SDK support
- Distributed tracing across microservices
- Real-time issue detection and automatic grouping
- Seer AI root-cause analysis suggestions



#### Criticized

- Noisy alerts without careful SDK sampling and rule configuration
- Suboptimal automatic error grouping and fingerprinting
- Steep UI learning curve for new users
- Pricing escalates quickly at high event volumes
- Quota exhaustion and unexpected overage charges
- Seer AI features gated behind additional subscription cost
- Complex alert rule tuning required for clean production monitoring




### Company facts

Founded year: 2012
Hq: San Francisco, CA, USA


#### Founders

- David Cramer
- Chris Jennings

Employees range: 400-500
Total funding: $217M
Valuation: ~$3B
Arr: ~$128M
Customer count: 150K organizations
Status: Private


Readiness: Not available


## Ranking

| Display name | Pair count | Total pairs | Presence percent | Avg position |
| --- | --- | --- | --- | --- |
| Sentry | 86 | 150 | 57.333333333333336 | 19.59778597785978 |
| Bugsnag | 60 | 150 | 40 | 26.64457831325301 |
| Rollbar | 51 | 150 | 34 | 28.966442953020135 |
| Raygun | 18 | 150 | 12 | 33.36 |
| LogRocket | 16 | 150 | 10.666666666666668 | 25.818181818181817 |
| TrackJS | 16 | 150 | 10.666666666666668 | 30.545454545454547 |
| Highlight.io | 5 | 150 | 3.3333333333333335 | 44 |
| Airbrake | 4 | 150 | 2.666666666666667 | 20.714285714285715 |
| Embrace | 3 | 150 | 2 | 13 |
| Jam.dev | 0 | 150 | 0 | Not available |
| Luciq | 0 | 150 | 0 | Not available |



## Platform breakdown

| Platform | Prompt count | Presence rate |
| --- | --- | --- |
| chatgpt-search | 18 | 72 |
| google-ai | 3 | 12 |
| perplexity | 24 | 96 |
| google-ai-mode | 16 | 64 |
| bing-copilot-search | 0 | 0 |
| xai-search | 25 | 100 |



## Strengths

| Prompt text | Platform count | Avg position |
| --- | --- | --- |
| I'm migrating error tracking to a new platform — which tools make it easiest to preserve historical data and recreate alert rules? | 3 | 1 |
| Which error tracking platforms handle background job errors as well as request-response errors from a web server? | 2 | 1 |
| Which error tracking platforms handle error storms gracefully when a bad deploy suddenly generates millions of events per minute? | 4 | 1.25 |
| Which error tracking platforms handle error grouping best for flaky or non-deterministic errors with slightly different stack traces each time? | 4 | 1.5 |
| Which error tracking platforms buffer events locally during outages and replay them when connectivity is restored, rather than dropping events? | 4 | 1.5 |



## Gaps





## Topic scores

| Topic name | Prompt count | Cited prompt count |
| --- | --- | --- |
| Capability | 5 | 5 |
| Developer Experience | 5 | 5 |
| Integrations & Ecosystem | 5 | 5 |
| Performance & Reliability | 5 | 5 |
| Setup & First Run | 5 | 5 |



## Prompt results

- Prompt text: Which error tracking platforms integrate natively with observability stacks — metrics, tracing, and logs — so you don't need two separate dashboards?


#### Brand position by platform

Chatgpt-search: 1
Google-ai: Not available
Perplexity: 1
Google-ai-mode: Not available
Bing-copilot-search: Not available
Xai-search: 16



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Sentry | 1 |



##### Google-ai





##### Perplexity

| Display name | Position |
| --- | --- |
| Sentry | 1 |



##### Google-ai-mode





##### Bing-copilot-search





##### Xai-search

| Display name | Position |
| --- | --- |
| Embrace | 15 |
| Sentry | 16 |
| Raygun | 21 |
| Bugsnag | 27 |
| TrackJS | 29 |
| Rollbar | 30 |


- Prompt text: Which error tracking platforms have the best two-way sync with issue trackers so bugs automatically get created and closed in the right project board?


#### Brand position by platform

Chatgpt-search: 1
Google-ai: Not available
Perplexity: 1
Google-ai-mode: Not available
Bing-copilot-search: Not available
Xai-search: 9



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Sentry | 1 |
| Bugsnag | 4 |
| Rollbar | 6 |



##### Google-ai

| Display name | Position |
| --- | --- |
| Bugsnag | 3 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Sentry | 1 |
| Bugsnag | 4 |
| Rollbar | 6 |



##### Google-ai-mode





##### Bing-copilot-search





##### Xai-search

| Display name | Position |
| --- | --- |
| Bugsnag | 6 |
| Sentry | 9 |
| Rollbar | 58 |


- Prompt text: Which error tracking platforms can correlate a frontend JS error with the backend API call that caused it across a distributed trace?


#### Brand position by platform

Chatgpt-search: 7
Google-ai: 1
Perplexity: 1
Google-ai-mode: 3
Bing-copilot-search: Not available
Xai-search: 1



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Sentry | 7 |



##### Google-ai

| Display name | Position |
| --- | --- |
| Sentry | 1 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Sentry | 1 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Sentry | 3 |



##### Bing-copilot-search





##### Xai-search

| Display name | Position |
| --- | --- |
| Sentry | 1 |
| Bugsnag | 24 |
| Rollbar | 47 |


- Prompt text: Which error tracking tools integrate best with on-call and incident management systems to page the right person when a critical error spikes?


#### Brand position by platform

Chatgpt-search: Not available
Google-ai: Not available
Perplexity: 1
Google-ai-mode: Not available
Bing-copilot-search: Not available
Xai-search: 33



#### Platform rows



##### Chatgpt-search





##### Google-ai





##### Perplexity

| Display name | Position |
| --- | --- |
| Sentry | 1 |
| Bugsnag | 4 |



##### Google-ai-mode





##### Bing-copilot-search





##### Xai-search

| Display name | Position |
| --- | --- |
| Bugsnag | 30 |
| Sentry | 33 |
| Rollbar | 45 |


- Prompt text: Which error tracking platforms are designed for microservices architectures where errors in one service can cascade into others?


#### Brand position by platform

Chatgpt-search: 7
Google-ai: Not available
Perplexity: 1
Google-ai-mode: Not available
Bing-copilot-search: Not available
Xai-search: 35



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Sentry | 7 |



##### Google-ai





##### Perplexity

| Display name | Position |
| --- | --- |
| Sentry | 1 |



##### Google-ai-mode





##### Bing-copilot-search





##### Xai-search

| Display name | Position |
| --- | --- |
| Sentry | 35 |


- Prompt text: What's the easiest error tracking and crash reporting platform to integrate into a React Native app for both iOS and Android from a single SDK?


#### Brand position by platform

Chatgpt-search: 1
Google-ai: Not available
Perplexity: 1
Google-ai-mode: 5
Bing-copilot-search: Not available
Xai-search: 3



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Sentry | 1 |
| Bugsnag | 5 |



##### Google-ai





##### Perplexity

| Display name | Position |
| --- | --- |
| Sentry | 1 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Embrace | 2 |
| Sentry | 5 |



##### Bing-copilot-search





##### Xai-search

| Display name | Position |
| --- | --- |
| Sentry | 3 |
| Embrace | 12 |
| Bugsnag | 19 |
| Raygun | 33 |
| LogRocket | 61 |


- Prompt text: What error tracking tools do teams typically use to manage the full workflow from alert to assignment to resolution in one place?


#### Brand position by platform

Chatgpt-search: Not available
Google-ai: Not available
Perplexity: 1
Google-ai-mode: Not available
Bing-copilot-search: Not available
Xai-search: 29



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Rollbar | 1 |
| Bugsnag | 3 |



##### Google-ai





##### Perplexity

| Display name | Position |
| --- | --- |
| Sentry | 1 |
| Bugsnag | 3 |
| Rollbar | 6 |



##### Google-ai-mode





##### Bing-copilot-search





##### Xai-search

| Display name | Position |
| --- | --- |
| Raygun | 21 |
| Sentry | 29 |
| TrackJS | 43 |
| Bugsnag | 46 |
| Rollbar | 48 |


- Prompt text: Which error tracking platforms integrate best into a developer's normal workflow — IDE plugins, chat notifications, or built-in triage dashboards?


#### Brand position by platform

Chatgpt-search: 3
Google-ai: Not available
Perplexity: 1
Google-ai-mode: Not available
Bing-copilot-search: Not available
Xai-search: 5



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Sentry | 3 |
| Rollbar | 5 |
| Bugsnag | 8 |



##### Google-ai





##### Perplexity

| Display name | Position |
| --- | --- |
| Sentry | 1 |
| Bugsnag | 3 |
| Rollbar | 4 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| LogRocket | 2 |



##### Bing-copilot-search





##### Xai-search

| Display name | Position |
| --- | --- |
| Sentry | 5 |
| Raygun | 10 |
| LogRocket | 28 |
| Rollbar | 35 |


- Prompt text: Which error tracking platforms offer the best webhook and event streaming support for building internal tooling on top of error data?


#### Brand position by platform

Chatgpt-search: 1
Google-ai: 1
Perplexity: 1
Google-ai-mode: 1
Bing-copilot-search: Not available
Xai-search: 13



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Sentry | 1 |
| Rollbar | 2 |
| Bugsnag | 6 |



##### Google-ai

| Display name | Position |
| --- | --- |
| Sentry | 1 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Sentry | 1 |
| Bugsnag | 4 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Sentry | 1 |



##### Bing-copilot-search





##### Xai-search

| Display name | Position |
| --- | --- |
| Raygun | 11 |
| Sentry | 13 |
| LogRocket | 22 |
| Bugsnag | 50 |
| Rollbar | 60 |


- Prompt text: What event volume limits should I expect from error tracking platforms at scale — and which ones have the most predictable pricing as volume grows?


#### Brand position by platform

Chatgpt-search: Not available
Google-ai: Not available
Perplexity: Not available
Google-ai-mode: 5
Bing-copilot-search: Not available
Xai-search: 1



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Rollbar | 1 |
| Bugsnag | 10 |



##### Google-ai





##### Perplexity

| Display name | Position |
| --- | --- |
| Rollbar | 1 |
| Bugsnag | 4 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| TrackJS | 3 |
| Sentry | 5 |



##### Bing-copilot-search





##### Xai-search

| Display name | Position |
| --- | --- |
| Sentry | 1 |
| TrackJS | 23 |
| Bugsnag | 37 |
| Rollbar | 56 |


- Prompt text: I'm migrating error tracking to a new platform — which tools make it easiest to preserve historical data and recreate alert rules?


#### Brand position by platform

Chatgpt-search: 1
Google-ai: Not available
Perplexity: 1
Google-ai-mode: Not available
Bing-copilot-search: Not available
Xai-search: 1



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Sentry | 1 |
| Rollbar | 4 |
| Bugsnag | 9 |



##### Google-ai





##### Perplexity

| Display name | Position |
| --- | --- |
| Sentry | 1 |



##### Google-ai-mode





##### Bing-copilot-search





##### Xai-search

| Display name | Position |
| --- | --- |
| Sentry | 1 |
| TrackJS | 14 |
| Rollbar | 17 |
| Raygun | 27 |
| LogRocket | 37 |


- Prompt text: Which error tracking platforms offer the best release tracking so teams can tell whether a new deploy made error rates better or worse?


#### Brand position by platform

Chatgpt-search: 1
Google-ai: Not available
Perplexity: 2
Google-ai-mode: 1
Bing-copilot-search: Not available
Xai-search: 12



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Sentry | 1 |
| Bugsnag | 4 |
| Rollbar | 7 |



##### Google-ai





##### Perplexity

| Display name | Position |
| --- | --- |
| Sentry | 2 |
| Bugsnag | 4 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Sentry | 1 |
| Bugsnag | 3 |



##### Bing-copilot-search





##### Xai-search

| Display name | Position |
| --- | --- |
| Raygun | 3 |
| Rollbar | 10 |
| Sentry | 12 |
| TrackJS | 17 |
| Airbrake | 26 |
| Bugsnag | 44 |


- Prompt text: Which error tracking platforms handle error storms gracefully when a bad deploy suddenly generates millions of events per minute?


#### Brand position by platform

Chatgpt-search: 2
Google-ai: Not available
Perplexity: 1
Google-ai-mode: 1
Bing-copilot-search: Not available
Xai-search: 1



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Sentry | 2 |
| Rollbar | 6 |
| Bugsnag | 8 |



##### Google-ai





##### Perplexity

| Display name | Position |
| --- | --- |
| Sentry | 1 |
| Bugsnag | 2 |
| Rollbar | 5 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Sentry | 1 |
| Raygun | 5 |
| Bugsnag | 6 |



##### Bing-copilot-search





##### Xai-search

| Display name | Position |
| --- | --- |
| Sentry | 1 |
| Bugsnag | 11 |
| Rollbar | 19 |
| TrackJS | 21 |
| Raygun | 28 |
| LogRocket | 32 |


- Prompt text: What tools help teams correlate error tracking data with feature flag releases to automatically flag which deployment introduced a regression?


#### Brand position by platform

Chatgpt-search: 1
Google-ai: Not available
Perplexity: 1
Google-ai-mode: 1
Bing-copilot-search: Not available
Xai-search: 16



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Sentry | 1 |
| Rollbar | 8 |



##### Google-ai





##### Perplexity

| Display name | Position |
| --- | --- |
| Sentry | 1 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Sentry | 1 |



##### Bing-copilot-search





##### Xai-search

| Display name | Position |
| --- | --- |
| Sentry | 16 |
| Bugsnag | 37 |


- Prompt text: Which platforms offer both error tracking and full session replay in one tool — and when does a team actually need both together?


#### Brand position by platform

Chatgpt-search: 12
Google-ai: Not available
Perplexity: 1
Google-ai-mode: 3
Bing-copilot-search: Not available
Xai-search: 6



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| LogRocket | 3 |
| Sentry | 12 |



##### Google-ai





##### Perplexity

| Display name | Position |
| --- | --- |
| Sentry | 1 |
| LogRocket | 3 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Sentry | 3 |



##### Bing-copilot-search





##### Xai-search

| Display name | Position |
| --- | --- |
| Rollbar | 3 |
| Sentry | 6 |
| Highlight.io | 9 |
| LogRocket | 19 |


- Prompt text: Which error tracking platforms offer the best sampling rate controls to manage cost and noise in production without missing critical low-frequency errors?


#### Brand position by platform

Chatgpt-search: 1
Google-ai: Not available
Perplexity: 3
Google-ai-mode: 1
Bing-copilot-search: Not available
Xai-search: 11



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Sentry | 1 |
| Rollbar | 7 |
| Bugsnag | 9 |



##### Google-ai





##### Perplexity

| Display name | Position |
| --- | --- |
| Sentry | 3 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Sentry | 1 |



##### Bing-copilot-search





##### Xai-search

| Display name | Position |
| --- | --- |
| TrackJS | 4 |
| Bugsnag | 5 |
| Sentry | 11 |
| Raygun | 16 |
| LogRocket | 18 |
| Rollbar | 38 |


- Prompt text: Which error tracking platforms handle error grouping best for flaky or non-deterministic errors with slightly different stack traces each time?


#### Brand position by platform

Chatgpt-search: 1
Google-ai: Not available
Perplexity: 2
Google-ai-mode: 2
Bing-copilot-search: Not available
Xai-search: 1



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Sentry | 1 |
| Rollbar | 3 |
| Bugsnag | 6 |



##### Google-ai

| Display name | Position |
| --- | --- |
| Bugsnag | 2 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Sentry | 2 |
| Rollbar | 4 |
| Bugsnag | 7 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Rollbar | 1 |
| Sentry | 2 |
| Bugsnag | 4 |



##### Bing-copilot-search





##### Xai-search

| Display name | Position |
| --- | --- |
| Sentry | 1 |
| Bugsnag | 2 |
| Rollbar | 4 |
| TrackJS | 16 |
| Raygun | 23 |
| LogRocket | 36 |


- Prompt text: Which error tracking SDKs have the lowest page load overhead and offer async or lazy-loading options to minimise impact?


#### Brand position by platform

Chatgpt-search: Not available
Google-ai: Not available
Perplexity: 1
Google-ai-mode: 2
Bing-copilot-search: Not available
Xai-search: 27



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Rollbar | 1 |
| Airbrake | 6 |
| Bugsnag | 8 |



##### Google-ai





##### Perplexity

| Display name | Position |
| --- | --- |
| Sentry | 1 |
| Bugsnag | 4 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Sentry | 2 |



##### Bing-copilot-search





##### Xai-search

| Display name | Position |
| --- | --- |
| TrackJS | 19 |
| Sentry | 27 |
| Raygun | 34 |
| Bugsnag | 51 |
| Rollbar | 78 |


- Prompt text: Which error tracking platforms automatically capture the most useful context — breadcrumbs, user state, request data — so engineers can reproduce bugs without user help?


#### Brand position by platform

Chatgpt-search: Not available
Google-ai: Not available
Perplexity: 1
Google-ai-mode: 1
Bing-copilot-search: Not available
Xai-search: 13



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Bugsnag | 1 |
| Rollbar | 3 |



##### Google-ai





##### Perplexity

| Display name | Position |
| --- | --- |
| Sentry | 1 |
| Bugsnag | 3 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Sentry | 1 |
| Bugsnag | 4 |



##### Bing-copilot-search





##### Xai-search

| Display name | Position |
| --- | --- |
| TrackJS | 1 |
| Raygun | 10 |
| Sentry | 13 |
| Bugsnag | 24 |
| Rollbar | 58 |
| Highlight.io | 65 |


- Prompt text: Which error tracking platforms handle background job errors as well as request-response errors from a web server?


#### Brand position by platform

Chatgpt-search: Not available
Google-ai: Not available
Perplexity: 1
Google-ai-mode: Not available
Bing-copilot-search: Not available
Xai-search: 1



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Bugsnag | 1 |
| Rollbar | 4 |



##### Google-ai





##### Perplexity

| Display name | Position |
| --- | --- |
| Sentry | 1 |
| Bugsnag | 2 |
| Rollbar | 3 |



##### Google-ai-mode





##### Bing-copilot-search





##### Xai-search

| Display name | Position |
| --- | --- |
| Sentry | 1 |
| Raygun | 5 |
| LogRocket | 13 |
| Rollbar | 36 |
| TrackJS | 37 |
| Bugsnag | 69 |
| Airbrake | 79 |


- Prompt text: Which error tracking tools handle deduplication and grouping best to reduce alert fatigue when a single bug triggers thousands of duplicate events?


#### Brand position by platform

Chatgpt-search: 1
Google-ai: Not available
Perplexity: 1
Google-ai-mode: Not available
Bing-copilot-search: Not available
Xai-search: 33



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Sentry | 1 |
| Rollbar | 3 |
| Bugsnag | 5 |
| Airbrake | 8 |



##### Google-ai





##### Perplexity

| Display name | Position |
| --- | --- |
| Sentry | 1 |
| Rollbar | 4 |
| Bugsnag | 6 |



##### Google-ai-mode





##### Bing-copilot-search





##### Xai-search

| Display name | Position |
| --- | --- |
| TrackJS | 16 |
| Rollbar | 24 |
| Raygun | 27 |
| Sentry | 33 |
| LogRocket | 70 |


- Prompt text: What are the best error tracking tools for a Next.js app that handles both server-side and client-side rendering without doubling up on error events?


#### Brand position by platform

Chatgpt-search: 1
Google-ai: 2
Perplexity: 1
Google-ai-mode: 2
Bing-copilot-search: Not available
Xai-search: 3



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Sentry | 1 |
| Bugsnag | 3 |
| Rollbar | 4 |
| Highlight.io | 5 |



##### Google-ai

| Display name | Position |
| --- | --- |
| Sentry | 2 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Sentry | 1 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Sentry | 2 |



##### Bing-copilot-search





##### Xai-search

| Display name | Position |
| --- | --- |
| Sentry | 3 |
| Rollbar | 9 |
| Highlight.io | 13 |
| LogRocket | 18 |
| TrackJS | 35 |


- Prompt text: Which error tracking tools offer the best PII scrubbing and GDPR compliance features for stripping sensitive fields from payloads before they leave the browser?


#### Brand position by platform

Chatgpt-search: Not available
Google-ai: Not available
Perplexity: 1
Google-ai-mode: 1
Bing-copilot-search: Not available
Xai-search: 8



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Bugsnag | 3 |
| Rollbar | 5 |
| Highlight.io | 9 |



##### Google-ai





##### Perplexity

| Display name | Position |
| --- | --- |
| Sentry | 1 |
| Raygun | 3 |
| Bugsnag | 4 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Sentry | 1 |
| Bugsnag | 3 |



##### Bing-copilot-search





##### Xai-search

| Display name | Position |
| --- | --- |
| Sentry | 8 |
| TrackJS | 32 |
| Raygun | 43 |
| Rollbar | 55 |
| Bugsnag | 65 |


- Prompt text: Which error tracking platforms handle source map uploads well so you see original TypeScript line numbers instead of minified bundle references?


#### Brand position by platform

Chatgpt-search: 7
Google-ai: Not available
Perplexity: 1
Google-ai-mode: 1
Bing-copilot-search: Not available
Xai-search: 1



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Bugsnag | 1 |
| Rollbar | 3 |
| Sentry | 7 |



##### Google-ai





##### Perplexity

| Display name | Position |
| --- | --- |
| Sentry | 1 |
| Bugsnag | 3 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Sentry | 1 |



##### Bing-copilot-search





##### Xai-search

| Display name | Position |
| --- | --- |
| Sentry | 1 |
| Bugsnag | 26 |
| Rollbar | 27 |
| LogRocket | 54 |
| TrackJS | 69 |


- Prompt text: Which error tracking platforms buffer events locally during outages and replay them when connectivity is restored, rather than dropping events?


#### Brand position by platform

Chatgpt-search: 3
Google-ai: Not available
Perplexity: 1
Google-ai-mode: 1
Bing-copilot-search: Not available
Xai-search: 1



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Sentry | 3 |
| Bugsnag | 4 |
| Rollbar | 6 |



##### Google-ai





##### Perplexity

| Display name | Position |
| --- | --- |
| Sentry | 1 |
| Rollbar | 3 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Sentry | 1 |



##### Bing-copilot-search





##### Xai-search

| Display name | Position |
| --- | --- |
| Sentry | 1 |
| LogRocket | 4 |
| Raygun | 8 |
| Rollbar | 31 |
| Bugsnag | 35 |





## Top sources

| Url | Title | Domain | Logo url | Source vertical | Content type | Citation count | Last30d count |
| --- | --- | --- | --- | --- | --- | --- | --- |
| https://docs.sentry.io/concepts/data-management/event-grouping/ | Issue Grouping | docs.sentry.io | Not available | commercial | documentation | 12 | 12 |
| https://docs.sentry.io/integrations/integration-platform/webhooks/ | Webhooks | docs.sentry.io | Not available | commercial | documentation | 10 | 10 |
| https://docs.sentry.io/platforms/javascript/guides/nextjs/capturing-errors/ | Capturing Errors \| Sentry for Next.js | docs.sentry.io | Not available | commercial | documentation | 10 | 10 |
| https://sentry.io/for/nextjs/ | Next.js Error Monitoring & Application Monitoring \| Sentry | sentry.io | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/36b1910b-2bb7-424d-be2f-ab824992ea50/df6399bca935b195e675c53c4a377ce959daafab.png | commercial | landing_page | 10 | 10 |
| https://docs.sentry.io/pricing/quotas/spike-protection/ | Spike Protection | docs.sentry.io | Not available | commercial | documentation | 9 | 9 |
| https://sentry.io/for/react-native/ | Error and Performance Monitoring for React Native  \| Sentry | sentry.io | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/36b1910b-2bb7-424d-be2f-ab824992ea50/df6399bca935b195e675c53c4a377ce959daafab.png | commercial | product_page | 8 | 8 |
| https://sentry.io/product/tracing/ | Distributed Tracing \| Monitor Performance Across Services \| Sentry | sentry.io | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/36b1910b-2bb7-424d-be2f-ab824992ea50/df6399bca935b195e675c53c4a377ce959daafab.png | commercial | product_page | 8 | 8 |
| https://sentry.io/solutions/application-observability/ | Application Observability \| Sentry | sentry.io | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/36b1910b-2bb7-424d-be2f-ab824992ea50/df6399bca935b195e675c53c4a377ce959daafab.png | commercial | product_page | 7 | 7 |



## Response excerpts

| Prompt text | Platform | Excerpt |
| --- | --- | --- |
| Which error tracking platforms have the best two-way sync with issue trackers so bugs automatically get created and closed in the right project board? | bing-copilot-search | Error Tracking Tool\| Issue Tracker Integration\| Two-Way Sync Strength\| Best Fit ---\|---\|---\|--- Sentry\| Jira, GitHub Issues, Azure DevOps, Linear\| Excellent — errors create issues, resolution in code closes them\| Teams needing release-aware bu... |
| Which error tracking platforms can correlate a frontend JS error with the backend API call that caused it across a distributed trace? | bing-copilot-search | The leading platforms that can correlate a frontend JavaScript error with the backend API call across a distributed trace are New Relic, Sentry, Datadog, and Raygun. |
| Which error tracking platforms handle background job errors as well as request-response errors from a web server? | bing-copilot-search | ...at Cover Both Web & Background Jobs Platform\| Strengths\| Background Job Support\| Web Request Support ---\|---\|---\|--- Sentry\| Broad developer-first platform; supports 30+ languages\| Cron monitoring, worker error tracking\| Full web server excepti... |



## Competitor excerpts





## Trend

Visibility delta: -9.199999999999996
Avg position delta: 0.9852941176470589
Citation count delta: 22