# Raygun AI visibility in Error Tracking & Crash Reporting

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

[Website](https://raygun.com/)

Updated: 2026-09-24T22:25:13.100411+00:00
Prompts: 25
Runs: 6


## Platforms

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

Rank: 4
Total brands: 11
Measured responses: 150
Presence percent: 11.333333333333332
Share of voice percent: 4.132231404958678
Average position: 33.32
Docs presence percent: 2
Blog presence percent: 10
Brand mention percent: 14.000000000000002


## Profile

Overview: Raygun is an application monitoring platform founded in 2007 in Wellington, New Zealand, formerly known as Mindscape. It offers an integrated suite covering Crash Reporting, Real User Monitoring (RUM), and Application Performance Monitoring (APM), with all three products linked to provide end-to-end visibility from front-end user sessions to server-side traces. A flagship 2024 feature, AI Error Resolution, auto-prompts LLMs with stack trace and code context to suggest fixes. Raygun is particularly strong in the .NET ecosystem and supports virtually every major language and framework through lightweight SDKs. It serves startups through Fortune 500 enterprises across e-commerce, media, healthcare, and financial services, and is HIPAA, GDPR, CCPA, and PCI compliant. The company has raised approximately $1.4M–$1.98M in total funding and remains privately held.
Product summary: Raygun is a full-stack digital experience monitoring platform combining Crash Reporting, Real User Monitoring, and Application Performance Monitoring in a single integrated product. It captures detailed diagnostics including stack traces, breadcrumbs, and affected-user counts, and in 2024 added AI Error Resolution to automatically suggest code-level fixes using LLMs. The platform is particularly strong in .NET and Flutter environments and serves development teams across web, mobile, desktop, and server applications.


### Key capabilities

- Crash Reporting with full stack traces, intelligent error grouping, and breadcrumbs
- AI Error Resolution using LLMs (ChatGPT / Azure OpenAI) to suggest code-level fixes
- Real User Monitoring (RUM) for web and mobile with Core Web Vitals and session tracking
- Application Performance Monitoring (APM) with flame-chart diagnostics and server-side profiling
- Deployment Tracking to correlate releases with error regressions
- Inbound Filters and Spike Protection to reduce alert noise and manage event quota
- Customizable Dashboards and scheduled Reports
- Crash-Free Users metric and affected-user impact tracking
- SAML SSO, HIPAA, GDPR, CCPA, and PCI compliance
- Raygun CLI tool for CI/CD pipeline integration



### Target users

- Software developers and engineering teams (mid-size, 5–250 people)
- CTOs and engineering leads responsible for application reliability
- Product managers monitoring error impact on customer experience
- SREs and DevOps teams managing production environments
- E-commerce platform engineers focused on checkout reliability
- .NET and Flutter development teams



### Key use cases

- Proactive production error detection and resolution for web and mobile apps
- .NET and Flutter application monitoring and debugging
- E-commerce checkout error reduction and conversion protection
- Front-end performance optimization using Core Web Vitals
- Server-side bottleneck identification with APM flame charts
- Deployment impact verification and regression tracking
- Reducing engineering time spent on log triage and support ticket investigation

Integrations ecosystem: Raygun integrates natively with Slack, Microsoft Teams, GitHub, GitHub Enterprise, GitLab, Jira (OAuth), Bitbucket, Azure DevOps, PagerDuty, Trello, Zendesk, Asana, Amazon SQS, Azure Service Bus, FullStory, and VictorOps. It is available as an add-on on Heroku (Crash Reporting and RUM) and listed on the Azure Marketplace. Deployment tracking integrations include Bash, PowerShell, Capistrano, Octopus Deploy, and Atlassian Bamboo. Source code integrations link directly to GitHub, Bitbucket, and Azure Repos. The platform also supports webhooks for custom workflows and the Raygun REST API for data extraction and manipulation.
Pricing summary: Raygun uses event-volume-based pricing with four tiers (Basic, Team, Business, Enterprise) for each product. Crash Reporting starts at $40/month (annual) for 100,000 errors; Team is $80/month for 200,000 errors; Business is $400/month for 1,000,000 errors. RUM and APM each start at $80/month (Basic) for 100,000 sessions/traces, with Business tiers at $800/month. Annual billing saves approximately 33% versus monthly. All plans include unlimited apps and members. On-demand overage is charged at $0.001 per error (CR) or $0.002 per session/trace (RUM/APM). Usage Capping and SAML SSO are available as add-ons on lower tiers. A 14-day free trial requires no credit card. Enterprise pricing is custom.
Review summary: Raygun holds a 4.3/5 score on G2 across 123 reviews, with 59% five-star and 36% four-star ratings. Users consistently praise the ease of setup (often described as 'two lines of code'), intelligent error grouping that reduces noise, real-time alerting, and clean dashboard UI. The AI Error Resolution feature has been well-received, particularly among .NET developers. Common criticisms include pricing perceived as expensive for smaller teams, unexpected cost increases when exceeding event quotas, the absence of a free tier, and occasional inconsistency in error grouping for high-volume or custom error code scenarios.
Competitive positioning: Raygun positions as a developer-focused, lower-noise alternative to larger error-tracking platforms, competing on intelligent error grouping, superior .NET and Flutter support, and AI-powered debugging. Its pricing is event-volume-based without a permanent free tier, placing it above Sentry on cost but emphasizing diagnostic depth and signal-to-noise reduction. It targets mid-size development teams and enterprise customers who need full-stack visibility (crash reporting, RUM, and APM) in one integrated platform, and has a particular stronghold in the .NET ecosystem.
Limitations: No permanent free tier (unlike Sentry); trial is limited to 14 days. On-demand overage charges can surprise users who exceed their reserved event quota. Pricing increased significantly for some long-term users following plan restructuring. Error grouping is sometimes inconsistent, particularly for large error volumes with custom error codes. No native session replay functionality (LogRocket's primary differentiator). Small team size (11–50 employees) may limit support responsiveness. Less suited to solo developers or bootstrapped startups who need cost certainty at low volumes.


### Source urls

- https://raygun.com/
- https://raygun.com/pricing
- https://raygun.com/documentation
- https://raygun.com/customer-stories
- https://raygun.com/customer-stories/hyperfish
- https://raygun.com/customer-stories/spotlight-reporting
- https://www.g2.com/products/raygun/reviews
- https://tracxn.com/d/companies/raygun/__VaQwWPHT4T234-V9HvR7ZMcnfgSPg4XGBmOdYMS119A
- https://www.cbinsights.com/company/raygun-1
- https://raygun.com/blog/best-of-raygun-24/

Reviewed at: 2026-04-28T23:12:25.044+00:00


### Customer outcomes

| Customer | Summary | Metric |
| --- | --- | --- |
| Hyperfish | Raygun Crash Reporting and Real User Monitoring enabled Hyperfish to reduce support and operations staffing needs, eliminating the need for dedicated bug triage staff. | $150,000/year saved on support costs |
| Spotlight Reporting | After switching from a previous APM provider, Spotlight Reporting reduced total application errors and noise while cutting time-to-resolution from days to hours. | 90% reduction in total errors |
| Timely | Timely used Raygun's smart alert grouping and email notifications to dramatically reduce error noise and improve response times. | 95% reduction in errors |
| HealthCare.com | HealthCare.com leveraged Raygun to identify and eliminate production errors at a large scale. | 95% reduction in production errors |
| Intechnica | Intechnica's development team used Raygun's detailed error diagnostics to dramatically cut the time spent manually investigating issues each week. | 6–9 hours saved per week |
| Pushpay | Pushpay used Raygun to gain real-time visibility and rapid alerting, achieving a very short mean time to resolution for production issues. | 4-minute MTTR |



### Reviews breakdown

| Platform | Score | Score max | Review count | Url |
| --- | --- | --- | --- | --- |
| G2 | 4.3 | 5 | 123 | https://www.g2.com/products/raygun/reviews |



### Review themes



#### Praised

- Easy setup with minimal code ('two lines of code')
- Intelligent error grouping reduces alert noise
- Real-time error detection and alerting
- AI Error Resolution suggests actionable fixes
- Clean, intuitive dashboard UI
- Excellent .NET and Flutter support
- Tight integrations with Slack, Jira, and PagerDuty
- Pinpoints exact line of code causing issues



#### Criticized

- Pricing perceived as expensive vs. competitors
- No permanent free tier unlike Sentry
- Unexpected billing increases from on-demand overage charges
- Error grouping sometimes inconsistent for large volumes or custom error codes
- Search limitations for finding specific errors in high-volume error lists
- Some users report unhelpful customer support interactions
- No native session replay feature




### Company facts

Founded year: 2007
Hq: Wellington, New Zealand


#### Founders

- John-Daniel Trask
- Jeremy Boyd

Employees range: 11-50
Total funding: ~$1.4M–$1.98M
Valuation: Not available
Arr: Not available
Customer count: ~3,000
Status: Private


Readiness: Not available


## Ranking

| Display name | Pair count | Total pairs | Presence percent | Avg position |
| --- | --- | --- | --- | --- |
| Sentry | 83 | 150 | 55.333333333333336 | 20.4609375 |
| Bugsnag | 57 | 150 | 38 | 29.78723404255319 |
| Rollbar | 56 | 150 | 37.333333333333336 | 31.54263565891473 |
| Raygun | 17 | 150 | 11.333333333333332 | 33.32 |
| LogRocket | 16 | 150 | 10.666666666666668 | 28.36842105263158 |
| TrackJS | 15 | 150 | 10 | 31.857142857142858 |
| Highlight.io | 3 | 150 | 2 | 56.44444444444444 |
| Embrace | 2 | 150 | 1.3333333333333335 | 16.666666666666668 |
| Airbrake | 2 | 150 | 1.3333333333333335 | 52.5 |
| Jam.dev | 0 | 150 | 0 | Not available |
| Luciq | 0 | 150 | 0 | Not available |



## Platform breakdown

| Platform | Prompt count | Presence rate |
| --- | --- | --- |
| perplexity | 0 | 0 |
| chatgpt-search | 0 | 0 |
| bing-copilot-search | 0 | 0 |
| google-ai-mode | 0 | 0 |
| google-ai | 1 | 4 |
| xai-search | 16 | 64 |



## Strengths

| Prompt text | Platform count | Avg position |
| --- | --- | --- |
| Which error tracking platforms offer the best release tracking so teams can tell whether a new deploy made error rates better or worse? | 1 | 3 |



## Gaps

| Prompt text | Competitor presence count |
| --- | --- |
| Which error tracking platforms can correlate a frontend JS error with the backend API call that caused it across a distributed trace? | 5 |
| Which error tracking platforms handle error grouping best for flaky or non-deterministic errors with slightly different stack traces each time? | 5 |
| 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? | 5 |
| Which platforms offer both error tracking and full session replay in one tool — and when does a team actually need both together? | 5 |
| Which error tracking platforms buffer events locally during outages and replay them when connectivity is restored, rather than dropping events? | 5 |



## Topic scores

| Topic name | Prompt count | Cited prompt count |
| --- | --- | --- |
| Capability | 5 | 3 |
| Developer Experience | 5 | 5 |
| Integrations & Ecosystem | 5 | 2 |
| Performance & Reliability | 5 | 4 |
| Setup & First Run | 5 | 2 |



## 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

Perplexity: Not available
Chatgpt-search: Not available
Bing-copilot-search: Not available
Google-ai-mode: Not available
Google-ai: Not available
Xai-search: 21



#### Platform rows



##### Perplexity

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



##### Chatgpt-search

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



##### Bing-copilot-search





##### Google-ai-mode

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



##### Google-ai





##### 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

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



#### Platform rows



##### Perplexity

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



##### Chatgpt-search

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



##### Bing-copilot-search





##### Google-ai-mode





##### Google-ai

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



##### 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

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



#### Platform rows



##### Perplexity

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



##### Chatgpt-search

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



##### Bing-copilot-search





##### Google-ai-mode

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



##### Google-ai

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



##### Xai-search

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


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


#### Brand position by platform

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



#### Platform rows



##### Perplexity

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



##### Chatgpt-search

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



##### Bing-copilot-search





##### Google-ai-mode

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



##### Google-ai





##### Xai-search

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


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


#### Brand position by platform

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



#### Platform rows



##### Perplexity





##### Chatgpt-search

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



##### Bing-copilot-search





##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Bugsnag | 1 |



##### Google-ai





##### 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

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



#### Platform rows



##### Perplexity

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



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Bugsnag | 1 |



##### Bing-copilot-search





##### Google-ai-mode





##### Google-ai

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



##### 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

Perplexity: Not available
Chatgpt-search: Not available
Bing-copilot-search: Not available
Google-ai-mode: Not available
Google-ai: Not available
Xai-search: 21



#### Platform rows



##### Perplexity

| Display name | Position |
| --- | --- |
| Rollbar | 1 |



##### Chatgpt-search

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



##### Bing-copilot-search





##### Google-ai-mode





##### Google-ai





##### 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

Perplexity: Not available
Chatgpt-search: Not available
Bing-copilot-search: Not available
Google-ai-mode: Not available
Google-ai: Not available
Xai-search: 10



#### Platform rows



##### Perplexity

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



##### Chatgpt-search

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



##### Bing-copilot-search





##### Google-ai-mode





##### Google-ai





##### 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

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



#### Platform rows



##### Perplexity

| Display name | Position |
| --- | --- |
| Sentry | 1 |
| Bugsnag | 4 |
| Rollbar | 5 |



##### Chatgpt-search

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



##### Bing-copilot-search





##### Google-ai-mode





##### Google-ai

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



##### 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

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



#### Platform rows



##### Perplexity

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



##### Chatgpt-search

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



##### Bing-copilot-search





##### Google-ai-mode





##### Google-ai





##### 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

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



#### Platform rows



##### Perplexity

| Display name | Position |
| --- | --- |
| Rollbar | 6 |



##### Chatgpt-search





##### Bing-copilot-search





##### Google-ai-mode





##### Google-ai





##### Xai-search

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


- 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

Perplexity: Not available
Chatgpt-search: Not available
Bing-copilot-search: Not available
Google-ai-mode: Not available
Google-ai: Not available
Xai-search: 23



#### Platform rows



##### Perplexity

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



##### Chatgpt-search

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



##### Bing-copilot-search





##### Google-ai-mode

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



##### Google-ai

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



##### Xai-search

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


- 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

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



#### Platform rows



##### Perplexity

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



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Sentry | 2 |
| Bugsnag | 4 |
| Rollbar | 6 |



##### Bing-copilot-search





##### Google-ai-mode

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



##### Google-ai





##### Xai-search

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


- 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

Perplexity: Not available
Chatgpt-search: Not available
Bing-copilot-search: Not available
Google-ai-mode: Not available
Google-ai: Not available
Xai-search: 34



#### Platform rows



##### Perplexity

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



##### Chatgpt-search

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



##### Bing-copilot-search





##### Google-ai-mode





##### Google-ai





##### Xai-search

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


- 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

Perplexity: Not available
Chatgpt-search: Not available
Bing-copilot-search: Not available
Google-ai-mode: Not available
Google-ai: 3
Xai-search: 28



#### Platform rows



##### Perplexity

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



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Rollbar | 2 |
| Bugsnag | 3 |
| Sentry | 5 |



##### Bing-copilot-search





##### Google-ai-mode

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



##### Google-ai

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



##### Xai-search

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


- 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

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



#### Platform rows



##### Perplexity

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



##### Chatgpt-search

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



##### Bing-copilot-search





##### Google-ai-mode

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



##### Google-ai

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



##### Xai-search

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


- 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

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



#### Platform rows



##### Perplexity

| Display name | Position |
| --- | --- |
| Sentry | 6 |
| Bugsnag | 7 |



##### Chatgpt-search

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



##### Bing-copilot-search





##### Google-ai-mode

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



##### Google-ai





##### Xai-search

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


- 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

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



#### Platform rows



##### Perplexity

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



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Rollbar | 2 |
| Bugsnag | 3 |
| Sentry | 4 |



##### Bing-copilot-search





##### Google-ai-mode





##### Google-ai





##### Xai-search

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


- 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

Perplexity: Not available
Chatgpt-search: Not available
Bing-copilot-search: Not available
Google-ai-mode: Not available
Google-ai: Not available
Xai-search: 10



#### Platform rows



##### Perplexity

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



##### Chatgpt-search

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



##### Bing-copilot-search





##### Google-ai-mode

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



##### Google-ai





##### Xai-search

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


- 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

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



#### Platform rows



##### Perplexity

| Display name | Position |
| --- | --- |
| Sentry | 1 |
| LogRocket | 2 |



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Sentry | 1 |
| LogRocket | 2 |



##### Bing-copilot-search





##### Google-ai-mode

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



##### Google-ai

| Display name | Position |
| --- | --- |
| Rollbar | 2 |



##### 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

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



#### Platform rows



##### Perplexity

| Display name | Position |
| --- | --- |
| Sentry | 5 |



##### Chatgpt-search

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



##### Bing-copilot-search





##### Google-ai-mode





##### Google-ai

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



##### Xai-search

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


- 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

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



#### Platform rows



##### Perplexity

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



##### Chatgpt-search

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



##### Bing-copilot-search





##### Google-ai-mode

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



##### Google-ai

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



##### Xai-search

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

Perplexity: Not available
Chatgpt-search: Not available
Bing-copilot-search: Not available
Google-ai-mode: Not available
Google-ai: Not available
Xai-search: 43



#### Platform rows



##### Perplexity

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



##### Chatgpt-search

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



##### Bing-copilot-search





##### Google-ai-mode





##### Google-ai

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



##### Xai-search

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


- 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

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



#### Platform rows



##### Perplexity

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



##### Chatgpt-search

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



##### Bing-copilot-search





##### Google-ai-mode





##### Google-ai





##### Xai-search

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


- 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

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



#### Platform rows



##### Perplexity

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



##### Chatgpt-search





##### Bing-copilot-search





##### Google-ai-mode

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



##### Google-ai





##### Xai-search

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





## Top sources

| Url | Title | Domain | Logo url | Source vertical | Content type | Citation count | Last30d count |
| --- | --- | --- | --- | --- | --- | --- | --- |
| https://raygun.com/documentation/product-guides/crash-reporting/spike-protection/ | Spike protection · Raygun Docs | raygun.com | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/36b1910b-2bb7-424d-be2f-ab824992ea50/97beb30500efcbca6126e1f637f1e58d4c827345.png | commercial | documentation | 2 | 2 |
| https://raygun.com/blog/best-error-monitoring-tools/ | 10 best error monitoring tools: A comparison report · Raygun Blog | raygun.com | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/36b1910b-2bb7-424d-be2f-ab824992ea50/97beb30500efcbca6126e1f637f1e58d4c827345.png | commercial | blog_post | 1 | 1 |
| https://raygun.com/documentation/language-guides/react-native/crash-reporting/installation/ | Integrate the package with... | raygun.com | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/36b1910b-2bb7-424d-be2f-ab824992ea50/97beb30500efcbca6126e1f637f1e58d4c827345.png | commercial | docs | 1 | 0 |
| https://raygun.com/blog/four-powerful-alerting-workflows/ | Four powerful Alerting workflows · Raygun Blog | raygun.com | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/36b1910b-2bb7-424d-be2f-ab824992ea50/97beb30500efcbca6126e1f637f1e58d4c827345.png | commercial | blog | 1 | 0 |
| https://raygun.com/blog/slack-alerting/ | Get Alerted to mission-critical issues directly in Slack - Raygun | raygun.com | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/36b1910b-2bb7-424d-be2f-ab824992ea50/97beb30500efcbca6126e1f637f1e58d4c827345.png | commercial | blog | 1 | 0 |
| https://github.com/MindscapeHQ/raygun4js | MindscapeHQ/raygun4js: JavaScript provider for Raygun | github.com | Not available | commercial | github | 1 | 0 |
| https://raygun.com/documentation/language-guides/javascript/crash-reporting/troubleshooting/ | Troubleshooting JavaScript with Raygun · Raygun Docs | raygun.com | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/36b1910b-2bb7-424d-be2f-ab824992ea50/97beb30500efcbca6126e1f637f1e58d4c827345.png | commercial | blog_post | 1 | 0 |
| https://raygun.com/blog/raygun4net-11-0-0-update/ | Raygun4Net update: Portable PDBs and offline storage | raygun.com | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/36b1910b-2bb7-424d-be2f-ab824992ea50/97beb30500efcbca6126e1f637f1e58d4c827345.png | commercial | blog | 1 | 0 |



## Response excerpts

| Prompt text | Platform | Excerpt |
| --- | --- | --- |
| What error tracking tools do teams typically use to manage the full workflow from alert to assignment to resolution in one place? | perplexity | Raygun — commonly used for application errors, crash reporting, and user-impact context, especially when teams value user/session diagnostics.[5] ### 2. Incident-management platforms connected to error tracking For production incidents that require... |
| Which error tracking platforms automatically capture the most useful context — breadcrumbs, user state, request data — so engineers can reproduce bugs without user help? | perplexity | \| Good operational error tracker; less consistently rich out of the box \| \| Raygun \| Strongest when paired with user-session diagnostics such as crash/error reports and session recordings, depending on platform and plan. |
| Which error tracking tools integrate best with on-call and incident management systems to page the right person when a critical error spikes? | google-ai-mode | Raygun : Excellent for crash reporting and error monitoring, Raygun supports clean integrations with webhooks and PagerDuty/Opsgenie. |



## Competitor excerpts

| Platform | Competitor name | Excerpt |
| --- | --- | --- |
| perplexity | Sentry | Sentry — Its JavaScript tracing can follow a request from the frontend through backend services, correlate errors with spans, and show the API call within the same distributed trace. |
| chatgpt-search | Sentry | ...\| Frontend JS errors \| Frontend → backend trace \| Distributed backend trace \| Notes \| \| --- \| --- \| --- \| --- \| --- \| \| Sentry \| ✅ \| ✅ \| ✅ \| Strong error-first workflow; traces can connect frontend and backend errors across separate projects. |
| google-ai-mode | Sentry | Sentry : Uses W3C Trace Context headers ( `sentry-trace` and `baggage` ) injected automatically by its browser SDK into outgoing `fetch` or `XHR` requests. |
| google-ai | Sentry | Sentry * How it works: Sentry injects tracing headers ( `sentry-trace` and `baggage` ) into outgoing browser fetch/XHR requests. |
| perplexity | Sentry | ...slightly different stack traces, the strongest grouping support I found is: ### Best at grouping noisy, similar errors Sentry - Sentry groups primarily by stack trace, but it also has fingerprint rules, stack trace rules, and now an... |
| chatgpt-search | Sentry | ### My shortlist \| Platform \| Handling of varying stack traces \| Why \| \| --- \| --- \| --- \| \| Sentry \| Very strong \| Its current grouping system uses an ML model specifically trained on stack traces, alongside fingerprint/stack-trace/exception/message signals. |
| chatgpt-search | Rollbar | \[1\] \| \| Rollbar \| Very strong \| Explicitly designed to make fingerprints resilient to deploys/code changes; it uses ML for common exception patterns and deliberately ignores line numbers in its basic algorithm. |
| chatgpt-search | Bugsnag | \[2\] \| \| Bugsnag \| Strong \| Has several grouping algorithms based on the top in-project frame, code location, surrounding code, etc., plus custom grouping hashes/discriminators. |
| google-ai-mode | Sentry | ...storage when a device or application goes offline, replaying and sending those payloads once connectivity is restored . Sentry Docs +1 The extent and mechanism of offline support vary depending on the platform and whether you are running a mobile a... |
| google-ai-mode | Bugsnag | Bugsnag : Offers built-in disk caching primarily for mobile and native environments (such as Android, Flutter, and Unity), where crash reports, error events, and session payloads are cached locally in a persistence directory on the device's stora... |
| google-ai | Sentry | Sentry * Why it handles flaky errors well: Sentry uses a combination of built-in stack trace rules, SDK-level controls, and machine learning/AI-driven semantic grouping. |
| google-ai | Bugsnag | BugSnag * Why it handles flaky errors well: BugSnag offers multiple selectable default grouping algorithms (such as grouping by the _top in-project stack frame_ rather than external library frames). |



## Trend

Visibility delta: 0
Avg position delta: 2.5
Citation count delta: 1