AI visibility report
Raygun ranks #4 in Error Tracking & Crash Reporting AI search.
Outside the top three on 14 of the 25 prompts buyers actually ask.
Sentry is cited on 13 of those losses.
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Track Raygun across these prompts daily.
Start free trial#4 among 11 vendors · still absent from 84.7% of tracked prompt responses
Top-3 citations across 150 prompt × platform pairs
Peer Ranking
Key Metrics
Platform Breakdown
Grok
Google AI Mode
Perplexity
Gemini Search
Bing Copilot
ChatGPTVisible, but narrative can improve. Raygun ranks #4 on presence but #6 on sentiment. The brand appears relatively often, but competitors may be getting more favorable language when they appear.
Where Raygun is losing
Prompts where competitors are visible and Raygun is not.
These prompt-level losses are the first prompts to track and repair.
Where Raygun is winning3
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?
Avg # 2.0 · 1 platform
Which error tracking platforms offer the best release tracking so teams can tell whether a new deploy made error rates better or worse?
Avg # 3.0 · 1 platform
What error tracking tools do teams typically use to manage the full workflow from alert to assignment to resolution in one place?
Avg # 21.0 · 1 platform
Where Raygun is losing5
Which error tracking platforms can correlate a frontend JS error with the backend API call that caused it across a distributed trace?
Competitors on 4 platforms
Track this promptWhich error tracking platforms handle source map uploads well so you see original TypeScript line numbers instead of minified bundle references?
Competitors on 4 platforms
Track this promptWhat event volume limits should I expect from error tracking platforms at scale — and which ones have the most predictable pricing as volume grows?
Competitors on 3 platforms
Track this promptWhich error tracking SDKs have the lowest page load overhead and offer async or lazy-loading options to minimise impact?
Competitors on 3 platforms
Track this promptWhich error tracking platforms buffer events locally during outages and replay them when connectivity is restored, rather than dropping events?
Competitors on 3 platforms
Track this prompt
Track Raygun daily before the next report refresh.
Track these gapsResearch dossierCapabilities, use cases, sources, reviews, pricing, and FAQ
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.
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 Facts
- Founded
- 2007
- HQ
- Wellington, New Zealand
- Founders
- John-Daniel Trask, Jeremy Boyd
- Employees
- 11-50
- Funding
- ~$1.4M–$1.98M
- Customers
- ~3,000
- Status
- Private
Target users
Key Capabilities10
- 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
Key Use Cases7
- 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
Raygun customer outcomes
$150,000/year saved on support costs
Raygun Crash Reporting and Real User Monitoring enabled Hyperfish to reduce support and operations staffing needs, eliminating the need for dedicated bug triage staff.
90% reduction in total errors
After switching from a previous APM provider, Spotlight Reporting reduced total application errors and noise while cutting time-to-resolution from days to hours.
95% reduction in errors
Timely used Raygun's smart alert grouping and email notifications to dramatically reduce error noise and improve response times.
95% reduction in production errors
HealthCare.com leveraged Raygun to identify and eliminate production errors at a large scale.
6–9 hours saved per week
Intechnica's development team used Raygun's detailed error diagnostics to dramatically cut the time spent manually investigating issues each week.
4-minute MTTR
Pushpay used Raygun to gain real-time visibility and rapid alerting, achieving a very short mean time to resolution for production issues.
Recent Trend
How AI describes Raygun3
Raygun * Offers unified error monitoring for both client-side and server-side code, including background processes.
Which error tracking platforms handle background job errors as well as request-response errors from a web server?
Raygun * Pros: Configurable sampling and grouping; straightforward to tune noise vs signal; good for quick rollouts.
Which error tracking platforms offer the best sampling rate controls to manage cost and noise in production without missing critical low-frequency errors?
Other platforms like Datadog, Honeybadger, and Raygun also offer robust retry and buffering mechanisms, but the depth of offline buffering and ease of replay can differ by integration and plan.
Which error tracking platforms buffer events locally during outages and replay them when connectivity is restored, rather than dropping events?
Most cited sources8
2110 best error monitoring tools: A comparison report · Raygun Blog
raygun.com·Blog Post
- 1
Crash Reporting for React Native - Raygun · Raygun Docs
raygun.com·Documentation
- 1
Troubleshooting JavaScript with Raygun · Raygun Docs
raygun.com·Blog Post
- 1
Four powerful Alerting workflows · Raygun Blog
raygun.com·Blog Post
- 1
Get Alerted to mission-critical issues directly in Slack - Raygun
raygun.com·Blog Post
- G1
MindscapeHQ/raygun4js: JavaScript provider for Raygun
github.com·Discussion
Alternatives in Error Tracking & Crash Reporting6
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.
Reviews
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
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.
Pricing
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.
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.
Frequently asked questions
Topic coverageCoverage by buyer topic
Topic Coverage
Prompt-Level Results
| Prompt | Gemini Search | Perplexity | Google AI Mode | Bing Copilot | ChatGPT | Grok |
|---|---|---|---|---|---|---|
Capability3/5 cited (60%) | ||||||
Which error tracking platforms can correlate a frontend JS error with the backend API call that caused it across a distributed trace? | A competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited | A competitor was cited |
Which error tracking tools offer the best PII scrubbing and GDPR compliance features for stripping sensitive fields from payloads before they leave the browser? | A competitor was cited | Your brand and a competitor were cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Your brand and a competitor were cited |
Which error tracking platforms handle background job errors as well as request-response errors from a web server? | A competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Your brand and a competitor were cited |
Which error tracking platforms handle error grouping best for flaky or non-deterministic errors with slightly different stack traces each time? | A competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Your brand and a competitor were cited |
Which platforms offer both error tracking and full session replay in one tool — and when does a team actually need both together? | Neither your brand nor a competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited |
Developer Experience5/5 cited (100%) | ||||||
What error tracking tools do teams typically use to manage the full workflow from alert to assignment to resolution in one place? | Neither your brand nor a competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Your brand and a competitor were cited |
Which error tracking tools handle deduplication and grouping best to reduce alert fatigue when a single bug triggers thousands of duplicate events? | Neither your brand nor a competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Your brand and a competitor were cited |
Which error tracking platforms offer the best release tracking so teams can tell whether a new deploy made error rates better or worse? | Neither your brand nor a competitor was cited | A competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited | Your brand and a competitor were cited |
Which error tracking platforms integrate best into a developer's normal workflow — IDE plugins, chat notifications, or built-in triage dashboards? | Neither your brand nor a competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Your brand and a competitor were cited |
Which error tracking platforms automatically capture the most useful context — breadcrumbs, user state, request data — so engineers can reproduce bugs without user help? | A competitor was cited | A competitor was cited | Your brand was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Your brand and a competitor were cited |
Integrations & Ecosystem2/5 cited (40%) | ||||||
Which error tracking platforms offer the best webhook and event streaming support for building internal tooling on top of error data? | A competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited | Your brand and a competitor were cited |
Which error tracking platforms integrate natively with observability stacks — metrics, tracing, and logs — so you don't need two separate dashboards? | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Your brand and a competitor were cited |
Which error tracking tools integrate best with on-call and incident management systems to page the right person when a critical error spikes? | Neither your brand nor a competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited |
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? | A competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited |
What tools help teams correlate error tracking data with feature flag releases to automatically flag which deployment introduced a regression? | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited | A competitor was cited |
Performance & Reliability4/5 cited (80%) | ||||||
What event volume limits should I expect from error tracking platforms at scale — and which ones have the most predictable pricing as volume grows? | A competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited | A competitor was cited |
Which error tracking SDKs have the lowest page load overhead and offer async or lazy-loading options to minimise impact? | A competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited | A competitor was cited | Your brand and a competitor were cited |
Which error tracking platforms offer the best sampling rate controls to manage cost and noise in production without missing critical low-frequency errors? | Neither your brand nor a competitor was cited | Your brand and a competitor were cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited | Your brand and a competitor were cited |
Which error tracking platforms buffer events locally during outages and replay them when connectivity is restored, rather than dropping events? | A competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited | Your brand and a competitor were cited |
Which error tracking platforms handle error storms gracefully when a bad deploy suddenly generates millions of events per minute? | A competitor was cited | Your brand and a competitor were cited | Your brand and a competitor were cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Your brand and a competitor were cited |
Setup & First Run3/5 cited (60%) | ||||||
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? | A competitor was cited | A competitor was cited | Your brand was cited | Neither your brand nor a competitor was cited | A competitor was cited | Your brand and a competitor were cited |
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? | A competitor was cited | A competitor was cited | Your brand and a competitor were cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited |
Which error tracking platforms handle source map uploads well so you see original TypeScript line numbers instead of minified bundle references? | Neither your brand nor a competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited | A competitor was cited | A competitor was cited |
Which error tracking platforms are designed for microservices architectures where errors in one service can cascade into others? | Neither your brand nor a competitor was cited | A competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited | A competitor was cited |
I'm migrating error tracking to a new platform — which tools make it easiest to preserve historical data and recreate alert rules? | Neither your brand nor a competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited | Your brand and a competitor were cited |
Turn this matrix into daily prompt monitoring.
Track prompt changesVertical Ranking
| # | Brand | PresencePres. | Share of VoiceSoV | DocsDocs | BlogBlog | MentionsMent. | Avg PosPos | Sentiment |
|---|---|---|---|---|---|---|---|---|
| 1 | Sentry | 35.3% | 39.3% | 20.7% | 9.3% | 90.7% | #26.5 | +0.51 |
| 2 | Rollbar | 33.3% | 22.9% | 13.3% | 19.3% | 64.7% | #37.1 | +0.36 |
| 3 | Bugsnag | 18.7% | 20.9% | 16.7% | 0.7% | 63.3% | #40.2 | +0.46 |
| 4 | Raygun | 15.3% | 6.2% | 1.3% | 14.7% | 19.3% | #28.5 | +0.40 |
| 5 | TrackJS | 11.3% | 4.8% | 0.7% | 2.7% | 4.7% | #29.5 | +0.38 |
| 6 | LogRocket | 8.7% | 3.1% | 0.7% | 2.0% | 14.7% | #35.3 | +0.46 |
| 7 | Highlight.io | 2.0% | 1.9% | 0.7% | 0.0% | 3.3% | #56.4 | +0.50 |
| 8 | Embrace | 1.3% | 0.6% | 0.0% | 1.3% | 0.7% | #16.7 | +0.68 |
| 9 | Airbrake | 1.3% | 0.4% | 0.7% | 0.0% | 6.7% | #52.5 | +0.30 |
| 10 | Jam.dev | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | — | — |
| 11 | Luciq | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | — | — |
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