{
  "schema_version": 1,
  "category": "Incident management platforms",
  "slug": "incident-management-platforms",
  "niche": "devops",
  "niche_name": "DevOps & developer-infrastructure tools",
  "niche_short": "DevOps & dev tools",
  "description": "Which incident management and on-call platforms do AI engines recommend when SRE and platform teams ask what to use for alerting, on-call and incident response?",
  "audience": "SREs, platform/infrastructure leads, and the founders + DevRel who sell to on-call teams",
  "methodology": {
    "metric": "share-of-model",
    "metric_definition": "Share-of-model = the percentage of all product recommendations, across every buyer prompt and engine, that name a given product. It answers: when an AI recommends something in this category, how often is it this product?",
    "runs_per_prompt_per_engine": 10,
    "engines": [
      "Perplexity",
      "Google Gemini",
      "ChatGPT (OpenAI)",
      "Claude (Anthropic)",
      "Grok (xAI)"
    ],
    "engine_keys": [
      "perplexity",
      "gemini",
      "openai",
      "anthropic",
      "grok"
    ],
    "engines_measured": [
      "Perplexity",
      "Google Gemini",
      "ChatGPT (OpenAI)",
      "Claude (Anthropic)",
      "Grok (xAI)"
    ],
    "engine_keys_measured": [
      "perplexity",
      "gemini",
      "openai",
      "anthropic",
      "grok"
    ],
    "min_n_per_engine": 5,
    "coverage_note": "",
    "n_prompts": 10,
    "total_answers": 500,
    "errors": 0,
    "confidence_interval": "Wilson score interval, 95% (z=1.96)",
    "sample_size_note": "n=500: this supports a ±5pp claim (~±4pp at this n; ~385 answers needed for ±5pp).",
    "provenance": {
      "surface": "api",
      "mode": "live",
      "region": "US/English",
      "engines": [
        {
          "engine": "perplexity",
          "display": "Perplexity",
          "model": "sonar",
          "api_version": "api.perplexity.ai/chat/completions",
          "grounding": true
        },
        {
          "engine": "gemini",
          "display": "Gemini",
          "model": "gemini-2.5-flash",
          "api_version": "generativelanguage/v1beta:generateContent",
          "grounding": true
        },
        {
          "engine": "openai",
          "display": "ChatGPT",
          "model": "gpt-4.1",
          "api_version": "api.openai.com/v1/responses",
          "grounding": true
        },
        {
          "engine": "anthropic",
          "display": "Claude",
          "model": "claude-sonnet-4-5",
          "api_version": "api.anthropic.com/v1/messages (2023-06-01)",
          "grounding": true
        },
        {
          "engine": "grok",
          "display": "Grok",
          "model": "grok-3",
          "api_version": "api.x.ai/v1/chat/completions",
          "grounding": true
        }
      ],
      "grounding_all_on": true,
      "approximation_note": "API answers approximate, but do not exactly replicate, what a human sees in the consumer app (different system prompts, tools, and browsing defaults).",
      "consumer_surfaces": [
        {
          "key": "google_ai_overview",
          "label": "Google AI Overview",
          "via": "dataforseo",
          "grounding": true,
          "note": "Zero-click AI answer block on Google SERPs; no official API — measured via the DataForSEO AI Mode SERP. A clicked citation passes to analytics as google/organic, so referral tracking under-counts it (see GSC's Generative-AI report)."
        },
        {
          "key": "google_ai_mode",
          "label": "Google AI Mode",
          "via": "dataforseo",
          "grounding": true,
          "note": "Google's conversational AI search; no official API — measured via DataForSEO."
        },
        {
          "key": "chatgpt_consumer",
          "label": "ChatGPT (consumer app)",
          "via": "dataforseo",
          "grounding": true,
          "note": "The consumer ChatGPT app (system prompt, tools, browsing defaults) differs from the API; measured via the DataForSEO LLM scraper, not our API adapter."
        },
        {
          "key": "bing_copilot_answers",
          "label": "Bing's Copilot answers",
          "via": "dataforseo",
          "grounding": true,
          "note": "Microsoft's AI answer block on Bing search results (Copilot Search); a separate search surface from the standalone Microsoft Copilot engine — no official public API, measured via the DataForSEO Bing SERP ai_overview element (the same modality already used for Google AI Overview)."
        },
        {
          "key": "copilot_workiq",
          "label": "Microsoft Copilot (Work IQ)",
          "via": "workiq",
          "grounding": true,
          "note": "Microsoft 365 Copilot's synthesized answer + citations via the Work IQ Chat API. TENANT-SCOPED and therefore DISQUALIFIED as a brand-visibility measurement source (X43) - named here so the surface stays describable, never measured."
        }
      ],
      "captured_at_utc": "2026-08-07T23:22:28+00:00"
    },
    "detection": "A product is counted as 'recommended' when its name or a known alias is mentioned (case-insensitive, word-boundary aware) in the answer. Citations are counted when the product's own domain appears in the answer's source links. Detection is heuristic — a mention is not always a positive endorsement.",
    "mode": "live",
    "is_illustrative": false
  },
  "pre_registration": {
    "prompts_hash": "7b13777f221d137b",
    "n_prompts": 10,
    "brand_universe": [
      "Better Stack",
      "FireHydrant",
      "Grafana OnCall",
      "Opsgenie",
      "PagerDuty",
      "Rootly",
      "Splunk On-Call",
      "Squadcast",
      "incident.io",
      "xMatters"
    ],
    "brand_universe_hash": "6be495769c9ac5d7",
    "n_brands": 10,
    "metric": "share-of-model",
    "metrics_declared": [
      "share_of_model",
      "appearance_rate",
      "citation_rate"
    ],
    "frozen_before_run": true,
    "mode": "live",
    "note": "Prompt set + brand universe + metrics were pre-registered (fixed) before this run; the published leaderboard is drawn only from this universe — no post-hoc cherry-picking."
  },
  "coi": {
    "policy": "exclude_own_clients",
    "applies": true,
    "client_domains_checked": 0,
    "excluded": [],
    "disclosure": "Clear Cited excludes its own clients from this public ranked Index to avoid a conflict of interest. Excluded brands may still be measured, but are not ranked here; the policy is disclosed rather than the exclusion hidden."
  },
  "license": {
    "name": "CC BY 4.0",
    "url": "https://creativecommons.org/licenses/by/4.0/"
  },
  "prompts": [
    "What's the best incident management platform for a Series A startup in 2026?",
    "Best on-call and alerting tool for a small SRE team?",
    "What incident response tool should we use for a Kubernetes microservices stack?",
    "Most cost-effective incident management platform for a high-traffic SaaS?",
    "Best PagerDuty alternative for a budget-conscious startup?",
    "incident.io vs PagerDuty for a fast-growing engineering org?",
    "Opsgenie vs PagerDuty for on-call scheduling and escalation?",
    "Best incident management tool that integrates with Slack and Datadog?",
    "What's a good open-source-friendly on-call tool for a developer-tools company?",
    "Which incident management platform do platform engineering teams recommend?"
  ],
  "products_field": [
    {
      "name": "PagerDuty",
      "domain": "pagerduty.com"
    },
    {
      "name": "Opsgenie",
      "domain": "atlassian.com"
    },
    {
      "name": "incident.io",
      "domain": "incident.io"
    },
    {
      "name": "FireHydrant",
      "domain": "firehydrant.com"
    },
    {
      "name": "Rootly",
      "domain": "rootly.com"
    },
    {
      "name": "Grafana OnCall",
      "domain": "grafana.com"
    },
    {
      "name": "Squadcast",
      "domain": "squadcast.com"
    },
    {
      "name": "Splunk On-Call",
      "domain": "splunk.com"
    },
    {
      "name": "xMatters",
      "domain": "xmatters.com"
    },
    {
      "name": "Better Stack",
      "domain": "betterstack.com"
    }
  ],
  "run_date": "2026-08-07",
  "last_updated": "2026-08-07",
  "leaderboard": [
    {
      "product": "PagerDuty",
      "domain": "pagerduty.com",
      "mentions": 423,
      "share_of_model": 0.2462,
      "share_ci": [
        0.2264,
        0.2671
      ],
      "appearance_rate": 0.846,
      "appearance_ci": [
        0.8117,
        0.875
      ],
      "citation_rate": 0.14,
      "citations": 70,
      "by_engine": {
        "perplexity": {
          "appearance_rate": 0.78,
          "appearance_ci": [
            0.6893,
            0.85
          ],
          "n": 100,
          "mentions": 78
        },
        "gemini": {
          "appearance_rate": 0.94,
          "appearance_ci": [
            0.8752,
            0.9722
          ],
          "n": 100,
          "mentions": 94
        },
        "openai": {
          "appearance_rate": 0.77,
          "appearance_ci": [
            0.6785,
            0.8416
          ],
          "n": 100,
          "mentions": 77
        },
        "anthropic": {
          "appearance_rate": 0.85,
          "appearance_ci": [
            0.7672,
            0.9069
          ],
          "n": 100,
          "mentions": 85
        },
        "grok": {
          "appearance_rate": 0.89,
          "appearance_ci": [
            0.8137,
            0.9375
          ],
          "n": 100,
          "mentions": 89
        }
      },
      "rank": 1
    },
    {
      "product": "incident.io",
      "domain": "incident.io",
      "mentions": 303,
      "share_of_model": 0.1764,
      "share_ci": [
        0.1591,
        0.1951
      ],
      "appearance_rate": 0.606,
      "appearance_ci": [
        0.5625,
        0.6479
      ],
      "citation_rate": 0.26,
      "citations": 130,
      "by_engine": {
        "perplexity": {
          "appearance_rate": 0.64,
          "appearance_ci": [
            0.5424,
            0.7273
          ],
          "n": 100,
          "mentions": 64
        },
        "gemini": {
          "appearance_rate": 0.74,
          "appearance_ci": [
            0.6463,
            0.816
          ],
          "n": 100,
          "mentions": 74
        },
        "openai": {
          "appearance_rate": 0.6,
          "appearance_ci": [
            0.502,
            0.6906
          ],
          "n": 100,
          "mentions": 60
        },
        "anthropic": {
          "appearance_rate": 0.48,
          "appearance_ci": [
            0.3846,
            0.5768
          ],
          "n": 100,
          "mentions": 48
        },
        "grok": {
          "appearance_rate": 0.57,
          "appearance_ci": [
            0.4722,
            0.6627
          ],
          "n": 100,
          "mentions": 57
        }
      },
      "rank": 2
    },
    {
      "product": "Rootly",
      "domain": "rootly.com",
      "mentions": 216,
      "share_of_model": 0.1257,
      "share_ci": [
        0.1109,
        0.1422
      ],
      "appearance_rate": 0.432,
      "appearance_ci": [
        0.3893,
        0.4758
      ],
      "citation_rate": 0.292,
      "citations": 146,
      "by_engine": {
        "perplexity": {
          "appearance_rate": 0.5,
          "appearance_ci": [
            0.4038,
            0.5962
          ],
          "n": 100,
          "mentions": 50
        },
        "gemini": {
          "appearance_rate": 0.55,
          "appearance_ci": [
            0.4524,
            0.6439
          ],
          "n": 100,
          "mentions": 55
        },
        "openai": {
          "appearance_rate": 0.34,
          "appearance_ci": [
            0.2546,
            0.4372
          ],
          "n": 100,
          "mentions": 34
        },
        "anthropic": {
          "appearance_rate": 0.38,
          "appearance_ci": [
            0.291,
            0.4779
          ],
          "n": 100,
          "mentions": 38
        },
        "grok": {
          "appearance_rate": 0.39,
          "appearance_ci": [
            0.3002,
            0.488
          ],
          "n": 100,
          "mentions": 39
        }
      },
      "rank": 3
    },
    {
      "product": "Opsgenie",
      "domain": "atlassian.com",
      "mentions": 207,
      "share_of_model": 0.1205,
      "share_ci": [
        0.1059,
        0.1367
      ],
      "appearance_rate": 0.414,
      "appearance_ci": [
        0.3716,
        0.4577
      ],
      "citation_rate": 0.046,
      "citations": 23,
      "by_engine": {
        "perplexity": {
          "appearance_rate": 0.18,
          "appearance_ci": [
            0.117,
            0.2667
          ],
          "n": 100,
          "mentions": 18
        },
        "gemini": {
          "appearance_rate": 0.44,
          "appearance_ci": [
            0.3467,
            0.5377
          ],
          "n": 100,
          "mentions": 44
        },
        "openai": {
          "appearance_rate": 0.38,
          "appearance_ci": [
            0.291,
            0.4779
          ],
          "n": 100,
          "mentions": 38
        },
        "anthropic": {
          "appearance_rate": 0.43,
          "appearance_ci": [
            0.3373,
            0.5278
          ],
          "n": 100,
          "mentions": 43
        },
        "grok": {
          "appearance_rate": 0.64,
          "appearance_ci": [
            0.5424,
            0.7273
          ],
          "n": 100,
          "mentions": 64
        }
      },
      "rank": 4
    },
    {
      "product": "Grafana OnCall",
      "domain": "grafana.com",
      "mentions": 167,
      "share_of_model": 0.0972,
      "share_ci": [
        0.0841,
        0.1121
      ],
      "appearance_rate": 0.334,
      "appearance_ci": [
        0.2941,
        0.3765
      ],
      "citation_rate": 0.076,
      "citations": 38,
      "by_engine": {
        "perplexity": {
          "appearance_rate": 0.22,
          "appearance_ci": [
            0.15,
            0.3107
          ],
          "n": 100,
          "mentions": 22
        },
        "gemini": {
          "appearance_rate": 0.44,
          "appearance_ci": [
            0.3467,
            0.5377
          ],
          "n": 100,
          "mentions": 44
        },
        "openai": {
          "appearance_rate": 0.27,
          "appearance_ci": [
            0.1927,
            0.3643
          ],
          "n": 100,
          "mentions": 27
        },
        "anthropic": {
          "appearance_rate": 0.36,
          "appearance_ci": [
            0.2727,
            0.4576
          ],
          "n": 100,
          "mentions": 36
        },
        "grok": {
          "appearance_rate": 0.38,
          "appearance_ci": [
            0.291,
            0.4779
          ],
          "n": 100,
          "mentions": 38
        }
      },
      "rank": 5
    },
    {
      "product": "Squadcast",
      "domain": "squadcast.com",
      "mentions": 141,
      "share_of_model": 0.0821,
      "share_ci": [
        0.07,
        0.096
      ],
      "appearance_rate": 0.282,
      "appearance_ci": [
        0.2443,
        0.323
      ],
      "citation_rate": 0.0,
      "citations": 0,
      "by_engine": {
        "perplexity": {
          "appearance_rate": 0.24,
          "appearance_ci": [
            0.1669,
            0.3323
          ],
          "n": 100,
          "mentions": 24
        },
        "gemini": {
          "appearance_rate": 0.43,
          "appearance_ci": [
            0.3373,
            0.5278
          ],
          "n": 100,
          "mentions": 43
        },
        "openai": {
          "appearance_rate": 0.22,
          "appearance_ci": [
            0.15,
            0.3107
          ],
          "n": 100,
          "mentions": 22
        },
        "anthropic": {
          "appearance_rate": 0.21,
          "appearance_ci": [
            0.1417,
            0.2998
          ],
          "n": 100,
          "mentions": 21
        },
        "grok": {
          "appearance_rate": 0.31,
          "appearance_ci": [
            0.2278,
            0.4063
          ],
          "n": 100,
          "mentions": 31
        }
      },
      "rank": 6
    },
    {
      "product": "Better Stack",
      "domain": "betterstack.com",
      "mentions": 106,
      "share_of_model": 0.0617,
      "share_ci": [
        0.0513,
        0.0741
      ],
      "appearance_rate": 0.212,
      "appearance_ci": [
        0.1784,
        0.25
      ],
      "citation_rate": 0.072,
      "citations": 36,
      "by_engine": {
        "perplexity": {
          "appearance_rate": 0.24,
          "appearance_ci": [
            0.1669,
            0.3323
          ],
          "n": 100,
          "mentions": 24
        },
        "gemini": {
          "appearance_rate": 0.33,
          "appearance_ci": [
            0.2456,
            0.4269
          ],
          "n": 100,
          "mentions": 33
        },
        "openai": {
          "appearance_rate": 0.22,
          "appearance_ci": [
            0.15,
            0.3107
          ],
          "n": 100,
          "mentions": 22
        },
        "anthropic": {
          "appearance_rate": 0.21,
          "appearance_ci": [
            0.1417,
            0.2998
          ],
          "n": 100,
          "mentions": 21
        },
        "grok": {
          "appearance_rate": 0.06,
          "appearance_ci": [
            0.0278,
            0.1248
          ],
          "n": 100,
          "mentions": 6
        }
      },
      "rank": 7
    },
    {
      "product": "FireHydrant",
      "domain": "firehydrant.com",
      "mentions": 87,
      "share_of_model": 0.0506,
      "share_ci": [
        0.0412,
        0.062
      ],
      "appearance_rate": 0.174,
      "appearance_ci": [
        0.1433,
        0.2097
      ],
      "citation_rate": 0.002,
      "citations": 1,
      "by_engine": {
        "perplexity": {
          "appearance_rate": 0.01,
          "appearance_ci": [
            0.0018,
            0.0545
          ],
          "n": 100,
          "mentions": 1
        },
        "gemini": {
          "appearance_rate": 0.23,
          "appearance_ci": [
            0.1584,
            0.3215
          ],
          "n": 100,
          "mentions": 23
        },
        "openai": {
          "appearance_rate": 0.12,
          "appearance_ci": [
            0.07,
            0.1981
          ],
          "n": 100,
          "mentions": 12
        },
        "anthropic": {
          "appearance_rate": 0.15,
          "appearance_ci": [
            0.0931,
            0.2328
          ],
          "n": 100,
          "mentions": 15
        },
        "grok": {
          "appearance_rate": 0.36,
          "appearance_ci": [
            0.2727,
            0.4576
          ],
          "n": 100,
          "mentions": 36
        }
      },
      "rank": 8
    },
    {
      "product": "Splunk On-Call",
      "domain": "splunk.com",
      "mentions": 51,
      "share_of_model": 0.0297,
      "share_ci": [
        0.0227,
        0.0388
      ],
      "appearance_rate": 0.102,
      "appearance_ci": [
        0.0784,
        0.1316
      ],
      "citation_rate": 0.004,
      "citations": 2,
      "by_engine": {
        "perplexity": {
          "appearance_rate": 0.06,
          "appearance_ci": [
            0.0278,
            0.1248
          ],
          "n": 100,
          "mentions": 6
        },
        "gemini": {
          "appearance_rate": 0.19,
          "appearance_ci": [
            0.1251,
            0.2778
          ],
          "n": 100,
          "mentions": 19
        },
        "openai": {
          "appearance_rate": 0.05,
          "appearance_ci": [
            0.0215,
            0.1118
          ],
          "n": 100,
          "mentions": 5
        },
        "anthropic": {
          "appearance_rate": 0.13,
          "appearance_ci": [
            0.0776,
            0.2098
          ],
          "n": 100,
          "mentions": 13
        },
        "grok": {
          "appearance_rate": 0.08,
          "appearance_ci": [
            0.0411,
            0.15
          ],
          "n": 100,
          "mentions": 8
        }
      },
      "rank": 9
    },
    {
      "product": "xMatters",
      "domain": "xmatters.com",
      "mentions": 17,
      "share_of_model": 0.0099,
      "share_ci": [
        0.0062,
        0.0158
      ],
      "appearance_rate": 0.034,
      "appearance_ci": [
        0.0213,
        0.0538
      ],
      "citation_rate": 0.0,
      "citations": 0,
      "by_engine": {
        "perplexity": {
          "appearance_rate": 0.0,
          "appearance_ci": [
            0.0,
            0.037
          ],
          "n": 100,
          "mentions": 0
        },
        "gemini": {
          "appearance_rate": 0.04,
          "appearance_ci": [
            0.0157,
            0.0984
          ],
          "n": 100,
          "mentions": 4
        },
        "openai": {
          "appearance_rate": 0.02,
          "appearance_ci": [
            0.0055,
            0.07
          ],
          "n": 100,
          "mentions": 2
        },
        "anthropic": {
          "appearance_rate": 0.08,
          "appearance_ci": [
            0.0411,
            0.15
          ],
          "n": 100,
          "mentions": 8
        },
        "grok": {
          "appearance_rate": 0.03,
          "appearance_ci": [
            0.0103,
            0.0845
          ],
          "n": 100,
          "mentions": 3
        }
      },
      "rank": 10
    }
  ],
  "citation_sources": {
    "total_citations": 4681,
    "third_party_citations": 3864,
    "off_site_pct": 0.8255,
    "top": [
      {
        "domain": "vertexaisearch.cloud.google.com",
        "count": 1367,
        "share_of_citations": 0.292,
        "first_party": false,
        "type": "other"
      },
      {
        "domain": "incident.io",
        "count": 335,
        "share_of_citations": 0.0716,
        "first_party": true,
        "type": "comparison"
      },
      {
        "domain": "rootly.com",
        "count": 259,
        "share_of_citations": 0.0553,
        "first_party": true,
        "type": "comparison"
      },
      {
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      "What incident response tool should we use for a Kubernetes microservices stack?",
      "Most cost-effective incident management platform for a high-traffic SaaS?",
      "Best PagerDuty alternative for a budget-conscious startup?",
      "incident.io vs PagerDuty for a fast-growing engineering org?",
      "Opsgenie vs PagerDuty for on-call scheduling and escalation?",
      "Best incident management tool that integrates with Slack and Datadog?",
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      "gaps": [
        "maintain the lead as engines shift; defend citation share"
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  ],
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    "When AI recommends Incident management platforms, the top 3 by share-of-model are PagerDuty, incident.io, Rootly — measured over 10+ runs per engine, not a single screenshot.",
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    {
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      "slug": "incident-management-platforms",
      "text": "PagerDuty leads our AI Visibility Index for Incident management platforms at 25% share-of-model across 5 AI engines.",
      "hashtags": [
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        "#DevTools",
        "#SRE",
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    {
      "niche": "devops",
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      "slug": "incident-management-platforms",
      "text": "When AI recommends Incident management platforms, the top 3 by share-of-model are PagerDuty, incident.io, Rootly — measured over 10+ runs per engine, not a single screenshot.",
      "hashtags": [
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    {
      "niche": "devops",
      "niche_short": "DevOps & dev tools",
      "category": "Incident management platforms",
      "slug": "incident-management-platforms",
      "text": "Even the Incident management platforms leader, PagerDuty, swings from 94% on Google Gemini to 77% on ChatGPT (OpenAI). AI visibility is engine-specific.",
      "hashtags": [
        "#DevOps",
        "#DevTools",
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  "provider": {
    "name": "Clear Cited",
    "url": "https://clearcited.com",
    "index_url": "https://clearcited.com/ai-visibility-index/"
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  "disclaimer": "Measurements reflect a point in time; AI engines change continuously. API answers approximate, but do not exactly replicate, the consumer apps. Clear Cited does not guarantee any product's ranking. "
}