{"slug":"rootly","name":"Rootly","domain":"rootly.com","verdict":"As of 2026-07-13, ChatGPT, Claude, Gemini, Grok collectively rank Rootly #2 of 9 for ai incident response platform (one of 11 leaderboards it appears on). Source: https://modelsagree.com/product/rootly (modelsagree.com, CC BY 4.0).","best_rank":2,"categories":11,"brief":{"category":"best-ai-incident-response-platform","title":"Best AI incident response platform","rank":2,"of":9,"top":"incident.io","day":"2026-07-17","why":[{"t":"AI across full incident lifecycle","m":["ChatGPT","Grok","Gemini","Claude"],"q":"AI-native across full incident lifecycle"},{"t":"Slack-native incident response","m":["ChatGPT","Grok","Gemini","Claude"],"q":"Slack-native incident response"},{"t":"strong workflow automation","m":["ChatGPT","Grok","Gemini","Claude"],"q":"strong automation of workflows/response"},{"t":"summaries and similar-incident recall","m":["ChatGPT","Grok","Gemini","Claude"],"q":"summaries, similar-incident recall, AI assistant for triage"}],"gap":[{"t":"correlates telemetry and recent deploys","m":["Claude","ChatGPT"],"q":"correlates telemetry, recent deploys, and past incidents to propose root causes"},{"t":"automated catalog-driven service directory","m":["Gemini","ChatGPT"],"q":"an automated catalog-driven service directory"},{"t":"fast adoption and low-friction","m":["Grok"],"q":"fast adoption and low-friction"}],"fix":[{"t":"steep learning curve and overhead","m":["ChatGPT","Gemini","Grok"],"q":"a steep learning curve and administrative overhead"},{"t":"fewer integrations","m":["Claude"],"q":"fewer integrations and less proven at large enterprise scale"},{"t":"excessive for small teams","m":["ChatGPT","Gemini","Grok"],"q":"excessive for small or low-incident teams"}]},"entries":[{"slug":"best-ai-incident-response-platform","title":"Best AI incident response platform","rank":2,"of":9,"score":17,"appearances":4,"modelRanks":{"ChatGPT":1,"Claude":3,"Gemini":2,"Grok":1},"reason":"Best overall balance of AI-guided investigation, probable-root-cause analysis, suggested fixes, mature Slack/Teams incident workflows, on-call, retrospectives, and status pages; a near-tie with incident.io, ranked first for its more transparent AI recommendations and stronger end-to-end responder experience.","reasons":[{"model":"ChatGPT","reason":"Best overall balance of AI-guided investigation, probable-root-cause analysis, suggested fixes, mature Slack/Teams incident workflows, on-call, retrospectives, and status pages; a near-tie with incident.io, ranked first for its more transparent AI recommendations and stronger end-to-end responder experience."},{"model":"Grok","reason":"AI-native across full incident lifecycle with deep Slack integration, strong automation of workflows/response, contextual RCA/summaries/past incident matching, reduces MTTR effectively for SRE/DevOps teams"},{"model":"Gemini","reason":"Unmatched customization for enterprise SRE teams. Its no-code workflow engine can automate almost any action (such as provisioning Zoom bridges, updating Jira, or triggering PagerDuty shifts), and its AI features summarize Slack threads and map incident history. (Near-tie with incident.io for SRE-led workflows)."},{"model":"Claude","reason":"Slack-native incident response plus a credible built-in on-call product at meaningfully lower cost than PagerDuty; strong automation (workflows, retrospectives) and an aggressive AI push (summaries, similar-incident recall, AI assistant for triage) make it the best value pick for startups and mid-size teams consolidating tools; near-tie with incident.io on incident workflow, ranked below on AI investigation depth and on-call maturity"}],"fixes":[{"model":"ChatGPT","fix":"Its greatest value requires broad access to operational data and disciplined service configuration, making it excessive for small or low-incident teams."},{"model":"Claude","fix":"Smaller company and ecosystem — fewer integrations and less proven at large enterprise scale, and its on-call is newer than its incident-management core"},{"model":"Gemini","fix":"The high level of configurability introduces a steep learning curve and administrative overhead, making it too complex for smaller teams seeking a simple, opinionated out-of-the-box experience."},{"model":"Grok","fix":"Higher cost and complexity for very simple on-call needs (not ideal for small teams or non-Slack heavy setups)"}],"updated":"2026-07-13","rank_history":{"days":["2026-06-25","2026-07-13"],"ranks":[1,2]},"api":"https://modelsagree.com/api/v1/best/best-ai-incident-response-platform.json"},{"slug":"best-slack-native-incident-management-tools-for-devops-teams","title":"Best Slack-Native Incident Management Tools for DevOps Teams","rank":2,"of":7,"score":16,"appearances":4,"modelRanks":{"ChatGPT":2,"Claude":2,"Gemini":2,"Grok":2},"reason":"Near-tied for first, with deeper no-code workflow flexibility, strong Slack coordination, integrated on-call, status pages, retrospectives, and excellent automation for complex organizations.","reasons":[{"model":"ChatGPT","reason":"Near-tied for first, with deeper no-code workflow flexibility, strong Slack coordination, integrated on-call, status pages, retrospectives, and excellent automation for complex organizations."},{"model":"Claude","reason":"Effectively co-leader with incident.io (near-tie) — deeply Slack-native with best-in-class workflow automation, granular customization of forms/roles/runbooks, strong retrospectives and metrics, and a robust Terraform provider for config-as-code that appeals to mature SRE teams."},{"model":"Gemini","reason":"Deeply customizable workflow engine and AI triage capabilities embedded directly in Slack, enabling complex conditional triggers, custom forms, and multi-tool orchestration; assumes the team has dedicated SRE resource capacity to configure complex automation. (Near-tie with incident.io for top spot)."},{"model":"Grok","reason":"Near-tie on Slack-native depth with highly configurable incident types, workflows, and AI assistance that pulls full context (channel, telemetry, code, history) for live summaries, correlation, and postmortems; strong all-in-one coverage including on-call and status pages for teams wanting automation without leaving chat"}],"fixes":[{"model":"ChatGPT","fix":"Its flexibility brings more configuration overhead, while advanced workflows and governance require Enterprise."},{"model":"Claude","fix":"The very configurability that makes it powerful means real setup and maintenance effort; teams wanting opinionated defaults out of the box will find it fiddly."},{"model":"Gemini","fix":"High administrative configuration density and workflow setup overhead that can overwhelm smaller DevOps teams seeking lightweight simplicity."},{"model":"Grok","fix":"Higher configuration and maintenance burden plus less transparent/sales-led pricing for advanced tiers; overkill for simple teams that prefer opinionated defaults"}],"updated":"2026-08-10","rank_history":{"days":["2026-08-03","2026-08-10"],"ranks":[2,2]},"api":"https://modelsagree.com/api/v1/best/best-slack-native-incident-management-tools-for-devops-teams.json"},{"slug":"best-incident-retrospective-tools-for-sre-teams","title":"Best incident retrospective tools for SRE teams","rank":2,"of":8,"score":15,"appearances":4,"modelRanks":{"ChatGPT":3,"Claude":2,"Gemini":2,"Grok":2},"reason":"Near-tie with incident.io (flagging it) — comparable Slack-native workflow with especially strong retrospective templating, automated timeline generation, and Jira/Linear follow-up sync; more flexible workflow customization and generally friendlier pricing, popular with mid-size SRE orgs including large tech shops like LinkedIn and NVIDIA.","reasons":[{"model":"Claude","reason":"Near-tie with incident.io (flagging it) — comparable Slack-native workflow with especially strong retrospective templating, automated timeline generation, and Jira/Linear follow-up sync; more flexible workflow customization and generally friendlier pricing, popular with mid-size SRE orgs including large tech shops like LinkedIn and NVIDIA."},{"model":"Gemini","reason":"Near-tie with incident.io for the top spot. It provides unmatched flexibility and automation via its workflow engine and native Terraform provider, enabling SRE teams to manage incident response policies as code and dynamically sync action items with ticketing systems."},{"model":"Grok","reason":"Powerful codeless/liquid automation for end-to-end incident lifecycle including auto-generated retrospectives and timelines, AI summaries and task suggestions, strong SLO/incident impact linking; highly valued for reducing toil in retrospective generation and action closure for SRE practitioners."},{"model":"ChatGPT","reason":"Near-tied with FireHydrant; combines polished real-time collaborative documents, incident-aware data blocks, AI-generated drafts, conditional retrospective processes, comments, follow-up accountability, and broad knowledge-base synchronization."}],"fixes":[{"model":"ChatGPT","fix":"Best capabilities assume adoption of Rootly’s commercial incident-management workflow, making it excessive for small teams needing only retrospective documentation."},{"model":"Claude","fix":"Retrospective analytics and cross-incident insight mining are shallower than incident.io's; you're still buying a full incident-management platform to get the retro piece."},{"model":"Gemini","fix":"High configuration overhead and a steep learning curve that requires significant administrative and engineering effort to set up and maintain custom workflows."},{"model":"Grok","fix":"Can feel more complex for very small teams or those not needing advanced automation depth."}],"updated":"2026-07-18","api":"https://modelsagree.com/api/v1/best/best-incident-retrospective-tools-for-sre-teams.json"},{"slug":"best-incident-postmortem-tools-for-sre-teams","title":"Best incident postmortem tools for SRE teams","rank":2,"of":7,"score":11,"appearances":3,"modelRanks":{"ChatGPT":2,"Claude":2,"Gemini":3},"reason":"Near-tie with incident.io and arguably the better value; flexible retrospective processes, dynamic timeline and follow-up blocks, collaborative editing, version history, reminders, AI drafting, and unusually broad export support make it highly adaptable","reasons":[{"model":"ChatGPT","reason":"Near-tie with incident.io and arguably the better value; flexible retrospective processes, dynamic timeline and follow-up blocks, collaborative editing, version history, reminders, AI drafting, and unusually broad export support make it highly adaptable"},{"model":"Claude","reason":"Very strong structured retrospectives with heavy automation and solid AI drafting; deep timeline capture, customizable postmortem templates, and enterprise-grade workflow/RBAC make it the closest competitor to incident.io on completeness. Near-tie with #1 — it edges ahead on template flexibility and enterprise controls but trails slightly on retro-insight polish."},{"model":"Gemini","reason":"Highly configurable Slack/Teams-native incident orchestration platform featuring a powerful workflow builder, custom postmortem templates, and AI-driven timeline summarization across enterprise SRE toolchains."}],"fixes":[{"model":"ChatGPT","fix":"Extensive workflow flexibility creates meaningful configuration and administration overhead"},{"model":"Claude","fix":"Feature depth means configuration overhead; overkill for a small team wanting a lightweight learning writeup."},{"model":"Gemini","fix":"High administrative complexity and steep initial configuration curve compared to more opinionated, plug-and-play alternatives."}],"updated":"2026-08-08","rank_history":{"days":["2026-08-03","2026-08-08"],"ranks":[2,2]},"api":"https://modelsagree.com/api/v1/best/best-incident-postmortem-tools-for-sre-teams.json"},{"slug":"best-incident-management-and-on-call-platform-for-sre","title":"Best incident management and on-call platform for SRE","rank":3,"of":7,"score":13,"appearances":4,"modelRanks":{"ChatGPT":3,"Claude":3,"Gemini":3,"Grok":2},"reason":"Powerful no-code workflow automation with advanced conditional logic purpose-built for SRE response processes; transparent AI root cause analysis with visible reasoning; strong automation of retrospectives and knowledge capture that drives continuous reliability improvement.","reasons":[{"model":"Grok","reason":"Powerful no-code workflow automation with advanced conditional logic purpose-built for SRE response processes; transparent AI root cause analysis with visible reasoning; strong automation of retrospectives and knowledge capture that drives continuous reliability improvement."},{"model":"ChatGPT","reason":"Excellent Slack/Teams-native incident command, flexible workflows, strong retrospectives and metrics, capable on-call scheduling, status pages, Terraform support, and competitive transparent entry pricing."},{"model":"Claude","reason":"Near-tie with incident.io (flagged) — same Slack-native incident management + on-call combo at a noticeably lower price, strong enterprise proof (LinkedIn, NVIDIA-class customers), fast-shipping team and good Terraform/API surface for SREs who want config-as-code"},{"model":"Gemini","reason":"The premier choice for teams requiring complex, policy-driven automation. Its powerful workflow engine natively executes custom playbooks (e.g., auto-creating tickets, provisioning channels, GitOps triggers) directly from Slack. Near-tied with incident.io."}],"fixes":[{"model":"ChatGPT","fix":"Its paging product is newer and less proven at massive operational scale than PagerDuty’s."},{"model":"Claude","fix":"Smaller vendor with a thinner integration catalog and shallower analytics/reporting than PagerDuty; you're betting on a challenger's roadmap"},{"model":"Gemini","fix":"High configuration complexity and enterprise-oriented pricing model that makes it overkill and cost-prohibitive for smaller engineering organizations."},{"model":"Grok","fix":"Significantly expand the native observability integration catalog or bundle on-call into a single unified plan to eliminate modular pricing and appeal to broader SRE stacks."}],"updated":"2026-07-15","rank_history":{"days":["2026-06-29","2026-06-30","2026-07-08","2026-07-09","2026-07-10","2026-07-14","2026-07-15"],"ranks":[3,3,2,3,3,3,3]},"api":"https://modelsagree.com/api/v1/best/best-incident-management-and-on-call-platform-for-sre.json"},{"slug":"best-incident-management-platform","title":"Best Incident management platform","rank":3,"of":8,"score":13,"appearances":4,"modelRanks":{"ChatGPT":2,"Claude":4,"Gemini":3,"Grok":2},"reason":"Near-tie for first with highly configurable chat-native response, mature workflows, strong retrospectives, status pages, capable on-call scheduling, and unusually useful SRE automation","reasons":[{"model":"ChatGPT","reason":"Near-tie for first with highly configurable chat-native response, mature workflows, strong retrospectives, status pages, capable on-call scheduling, and unusually useful SRE automation"},{"model":"Grok","reason":"Excels in workflow automation, AI-powered root cause analysis and response orchestration, strong Slack/Teams support, and enterprise-grade features that deliver high value for automation-focused SRE/DevOps teams reducing toil effectively."},{"model":"Gemini","reason":"Highly customizable Slack-first incident response featuring powerful AI-assisted timeline generation, flexible workflow engines, and native status page management without leaving chat."},{"model":"Claude","reason":"Excellent Slack-native incident automation with fast setup, flexible workflow builder, strong Terraform support, and its own on-call product — repeatedly picked by mid-size engineering orgs (including large names like LinkedIn, NVIDIA) for doing 90% of incident.io's job at typically lower cost."}],"fixes":[{"model":"ChatGPT","fix":"Advanced workflows, governance, and several enterprise controls require custom-priced tiers, making total cost and procurement less predictable"},{"model":"Claude","fix":"Narrower ecosystem and smaller company than the leaders — status pages, analytics, and enterprise governance are thinner, and like incident.io it presumes chat-driven response."},{"model":"Gemini","fix":"Deep coupling to chat workflows and complex initial rule configuration make it cumbersome for non-chat-centric organizations or simple setups."},{"model":"Grok","fix":"Higher per-user pricing and potentially steeper learning curve for full automation setup; not the simplest for small teams or those wanting pure alerting focus."}],"updated":"2026-07-19","api":"https://modelsagree.com/api/v1/best/best-incident-management-platform.json"},{"slug":"best-on-call-and-incident-management-tool","title":"Best on-call and incident management tool","rank":3,"of":7,"score":13,"appearances":4,"modelRanks":{"ChatGPT":2,"Claude":3,"Gemini":3,"Grok":3},"reason":"Near-tie for first, with strong ChatOps workflows, deep customization, capable retrospectives, status pages, service catalog, Terraform support, and practical scheduling features at competitive pricing","reasons":[{"model":"ChatGPT","reason":"Near-tie for first, with strong ChatOps workflows, deep customization, capable retrospectives, status pages, service catalog, Terraform support, and practical scheduling features at competitive pricing"},{"model":"Claude","reason":"The best value in the Slack-native cohort — incident management plus a bundled on-call product at materially lower cost than incident.io, with strong Terraform/API-first configuration that platform teams like; near-tie with FireHydrant, edged ahead on pricing and on-call maturity."},{"model":"Gemini","reason":"Outstanding Slack-native incident automation engine for organizations that demand highly customized workflows. Rootly shines where processes are complex and non-standard, giving SREs granular control to map bespoke runbooks, logic, and multi-tool pipelines directly into their chatops. It is in a near-tie with incident.io, but ranks slightly lower due to a steeper initial setup curve."},{"model":"Grok","reason":"Advanced SRE-focused automation, workflow engine, AI retrospectives, strong Slack integration and ownership-based routing; excels for automation-heavy teams seeking structured processes without bloat."}],"fixes":[{"model":"ChatGPT","fix":"Its greatest value depends on adopting Rootly’s workflow layer, so teams wanting only a proven standalone pager may find it excessive"},{"model":"Claude","fix":"Smaller company and ecosystem than the top two — fewer integrations, thinner enterprise features (advanced analytics, compliance), so large orgs with complex requirements may outgrow it."},{"model":"Gemini","fix":"The lack of opinionated defaults and high degree of custom configuration create a steep learning curve and higher initial administrative burden compared to out-of-the-box alternatives."},{"model":"Grok","fix":"Steeper learning curve for non-SRE practitioners; less emphasis on simplest onboarding for small teams."}],"updated":"2026-07-15","rank_history":{"days":["2026-06-29","2026-07-08","2026-07-09","2026-07-10","2026-07-14","2026-07-15"],"ranks":[3,4,3,3,3,3]},"api":"https://modelsagree.com/api/v1/best/best-on-call-and-incident-management-tool.json"},{"slug":"best-incident-management-platforms-for-devops-teams","title":"Best incident management platforms for DevOps teams","rank":4,"of":7,"score":8,"appearances":3,"modelRanks":{"ChatGPT":3,"Claude":4,"Gemini":3},"reason":"Excellent Slack/Teams-native incident command, flexible workflows, retrospectives, status pages, analytics, and increasingly capable on-call tooling at competitive pricing; nearly ties incident.io for teams prioritizing customizable response processes","reasons":[{"model":"ChatGPT","reason":"Excellent Slack/Teams-native incident command, flexible workflows, retrospectives, status pages, analytics, and increasingly capable on-call tooling at competitive pricing; nearly ties incident.io for teams prioritizing customizable response processes"},{"model":"Gemini","reason":"Offers the most powerful and customizable workflow automation engine in the Slack-native category, enabling DevOps teams to programmatically spin up incident bridges, update tickets, and draft retrospectives using AI (near-tied with incident.io, but ranked lower due to higher initial setup complexity)."},{"model":"Claude","reason":"Excellent Slack-first incident orchestration — workflow automation, retrospectives, and status pages with less setup than PagerDuty and strong Terraform-as-config support that DevOps teams appreciate; added native on-call, making it a credible single vendor; near-tie with FireHydrant, which matches it on process automation"}],"fixes":[{"model":"ChatGPT","fix":"Its deepest governance, workflow, and security capabilities require enterprise packaging, and its on-call system is less battle-tested than PagerDuty"},{"model":"Claude","fix":"Its on-call/paging layer is newer and less proven than PagerDuty's or Opsgenie's heritage, so paging-critical orgs often still pair it with a dedicated pager"},{"model":"Gemini","fix":"The sheer quantity of configuration options and enterprise integrations makes the initial setup and maintenance overhead too high for smaller, fast-moving teams."}],"updated":"2026-07-17","api":"https://modelsagree.com/api/v1/best/best-incident-management-platforms-for-devops-teams.json"},{"slug":"best-ai-sre-agent","title":"Best AI SRE agent","rank":5,"of":10,"score":5,"appearances":2,"modelRanks":{"ChatGPT":3,"Grok":4},"reason":"Combines parallel hypothesis testing and evidence-backed RCA with mature on-call, incident coordination, timelines, retrospectives, and service ownership context","reasons":[{"model":"ChatGPT","reason":"Combines parallel hypothesis testing and evidence-backed RCA with mature on-call, incident coordination, timelines, retrospectives, and service ownership context"},{"model":"Grok","reason":"Deeply integrated into incident management workflow with strong RCA using code changes, telemetry, and history; parallel hypothesis checks, evidence-backed theories, and seamless Slack/Teams coordination accelerate full response loop for typical SRE/practitioner teams."}],"fixes":[{"model":"ChatGPT","fix":"Deepen autonomous remediation beyond suggested fixes and human-led execution"}],"updated":"2026-07-13","rank_history":{"days":["2026-07-12","2026-07-13"],"ranks":[6,7]},"api":"https://modelsagree.com/api/v1/best/best-ai-sre-agent.json"},{"slug":"best-on-call-scheduling-tools-for-small-engineering-teams","title":"Best on-call scheduling tools for small engineering teams","rank":6,"of":8,"score":4,"appearances":2,"modelRanks":{"ChatGPT":5,"Claude":3},"reason":"Strong modern alternative in the same Slack-native mold as incident.io, with aggressive pricing that undercuts both incident.io and PagerDuty, reliable multi-channel alerting, and clean schedule/escalation management; a credible pick for cost-conscious teams that still want polished UX and incident tooling attached.","reasons":[{"model":"Claude","reason":"Strong modern alternative in the same Slack-native mold as incident.io, with aggressive pricing that undercuts both incident.io and PagerDuty, reliable multi-channel alerting, and clean schedule/escalation management; a credible pick for cost-conscious teams that still want polished UX and incident tooling attached."},{"model":"ChatGPT","reason":"Strong Slack-native incident operations with capable on-call scheduling, escalation, automation, and post-incident workflows; best suited to a small team expecting rapid operational growth."}],"fixes":[{"model":"ChatGPT","fix":"Its broader incident-management focus and sales-led packaging can be excessive for teams seeking a simple, inexpensive pager."},{"model":"Claude","fix":"Younger paging infrastructure and smaller integration catalog than PagerDuty — teams with unusual alert sources or strict paging-reliability audit requirements have less track record to lean on."}],"updated":"2026-07-17","api":"https://modelsagree.com/api/v1/best/best-on-call-scheduling-tools-for-small-engineering-teams.json"},{"slug":"best-on-call-management-tools-for-small-engineering-teams","title":"Best On-Call Management Tools for Small Engineering Teams","rank":8,"of":10,"score":2,"appearances":1,"modelRanks":{"ChatGPT":4},"reason":"Particularly humane on-call administration: flexible rotations, coverage requests, PTO and holiday handling, gap detection, pay calculations, multichannel fallback, and Terraform support for $20 per user monthly.","reasons":[{"model":"ChatGPT","reason":"Particularly humane on-call administration: flexible rotations, coverage requests, PTO and holiday handling, gap detection, pay calculations, multichannel fallback, and Terraform support for $20 per user monthly."}],"fixes":[{"model":"ChatGPT","fix":"Full incident response is a separate product, so buying both doubles the list price and weakens its value."}],"updated":"2026-08-10","rank_history":{"days":["2026-08-03","2026-08-10"],"ranks":[6,null]},"api":"https://modelsagree.com/api/v1/best/best-on-call-management-tools-for-small-engineering-teams.json"}],"page":"https://modelsagree.com/product/rootly","check":"https://modelsagree.com/check?q=Rootly","updated":"2026-08-10T18:18:45.051Z","attribution":"modelsagree.com, CC BY 4.0"}