# incident.io vs Rootly: which do AI models recommend for incidents, October 2026

IT AI Recommendation Index, October 2026 Edition, Incident management and on-call. Six of fourteen models named incident.io first on the direct prompt; one named Rootly. Page: https://it-ai-index.com/operations/incident-management-and-on-call/incident-io-vs-rootly/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| incident.io | 32% | #1 of 11 | 5% | 57 | 14 of 14 |
| Rootly | 5% | #7 of 11 | 3% | 33 | 12 of 14 |

## The direct prompt, model by model

- GLM 4.7 FlashX: both first (first choices: Rootly, incident.io) (alternatives: Jira Service Management, PagerDuty)
- GPT-5.4 mini: incident.io first (first choices: incident.io) (alternatives: PagerDuty, Rootly)
- Gemini 3.5 Flash: incident.io first (first choices: incident.io) (alternatives: FireHydrant, Freshservice, Rootly)
- DeepSeek V4 Flash: incident.io first (first choices: incident.io) (alternatives: Freshservice, Jira Service Management)
- Kimi K2: incident.io first (first choices: incident.io) (alternatives: Squadcast)
- GPT-6 Luna: incident.io first (first choices: incident.io) (alternatives: PagerDuty, Rootly)
- Claude Haiku 4.5: neither first, one named (first choices: Freshservice) (alternatives: HaloITSM, Hyperping, ManageEngine ServiceDesk Plus, Rootly, Zenduty, ilert, incident.io)
- Perplexity Sonar: neither first, one named (first choices: Freshservice) (alternatives: PagerDuty, Rootly, incident.io)
- Grok 4.1 Fast: neither first, one named (first choices: Freshservice) (alternatives: InvGate Service Management, Jira Service Management, ManageEngine ServiceDesk Plus, PagerDuty, incident.io)
- MiniMax M2.5: neither first, one named (first choices: Freshservice, PagerDuty) (alternatives: Jira Service Management, incident.io)
- Muse Glimmer 30B: neither first, one named (first choices: Freshservice) (alternatives: PagerDuty, Rootly, incident.io)
- Mistral Small: neither named (first choices: Freshservice, PagerDuty) (alternatives: ManageEngine ServiceDesk Plus)
- Llama 4 Maverick: neither named
- Qwen 3.7 Flash: neither named (first choices: PagerDuty) (alternatives: Datadog Incident Management, FireHydrant, Opsgenie)

## What the models said about incident.io

- "missing features in incident.io, particularly in reporting capabilities and SLA tracking" (Claude Haiku 4.5, negative prompt, soft negative)
- "if your teams don't want incident workflows tied to Slack or Microsoft Teams" (GPT-6 Luna, negative prompt, soft negative)
- "Pricing surprises: Costs spike sharply after small-team thresholds" (Qwen 3.7 Flash, negative prompt, soft negative)
- "Small team ≤5-10 responders and wants zero cost: incident.io free, FireHydrant free up to 10 responders, Better Stack free, or Opsgenie free up to 5 users." (Muse Glimmer 30B, budget prompt, first choice)
- "Choose incident.io if your team is Slack-centric and values speed of implementation, modern UX, and transparent all-in-one pricing." (Kimi K2, direct prompt, first choice)
- "Highly recommended for mid-market/scale-up companies. It is highly polished, opinionated, runs seamlessly inside Slack/Teams" (Gemini 3.5 Flash, scale prompt, first choice)

## What the models said about Rootly

- "some vendors (like Rootly) have separate pricing for on-call, AI, and status pages that can balloon your bill" (DeepSeek V4 Flash, scale prompt, soft negative)
- "The Best All-Around Alternative: Rootly ... Choose Rootly if you want to improve your incident response processes and save money simultaneously." (Qwen 3.7 Flash, paraphrase prompt, first choice)
- "Actively consider instead: For modern teams, look at incident.io, Rootly, FireHydrant" (DeepSeek V4 Flash, negative prompt, first choice)
- "Consider modern, Slack-native platforms like incident.io, Rootly" (Gemini 3.5 Flash, negative prompt, first choice)

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen models, for a mid-market B2B company; rank is within the category. Comparisons are drawn for the top eight products in each category. Published under CC BY 4.0; the output is the models' output, and nothing here is a recommendation by the index.