Rootly is a Slack-native incident management app and platform that automates repetitive operational tasks during incidents so teams can manage them in a consistent and structured way. Thousands of users worldwide rely on it to standardize their incident workflows, from creating dedicated Slack channels, Zoom bridges, and Jira tickets to assigning responders and roles such as incident commander. The platform supports setting recurring reminders and tasks, coordinating communication with stakeholders via Statuspage, Slack, and email, and generating automated postmortem timelines with action item tracking, including writing post-incident reports in tools like Confluence and Google Docs.

Rootly integrates with on-call and monitoring tools, enabling paging through PagerDuty and Opsgenie directly from Slack, and offers tracking and visualization of key incident metrics such as MTTR and root causes. A workflow builder allows teams to adapt Rootly to existing processes, for example defining rules for when to page infrastructure or notify leadership based on incident severity, and it connects with more than 30 services including PagerDuty, Opsgenie, Jira, GitHub, Datadog, Zendesk, and custom APIs. The product is designed for cross-functional and non-engineering users to collaborate entirely within Slack, supporting alerting, communication, retrospectives, and coordination across teams, and is positioned as a full end-to-end incident solution with straightforward, non–per-alert pricing that is described as half the cost of legacy tools.

LLM mention score The LLM mention score is the total number of mentions of this brand in different LLM chatbots, normalized to the scale from 0 to 100. You can get actual, non-normalized numbers via the LLM Mention API from DataForSEO.

Normalized 0–100 · last 8 weeks

DataForSeo API

Get LLM mention data of any company via DataForSEO API

Get access to the structured data on keyword, brand, and website mentions in LLMs, including metrics like AI search volume, impressions, and mentions count. 

How to get LLM mention data →
// Fetch Rootly mention score
POST /v3/content_analysis/summary
{
  "keyword": "Rootly",
  "type": "llm_mentions",
  "date_from": "2025-01-01"
}