{
  "schema_version": 1,
  "category": "AI observability tools",
  "slug": "ai-observability-tools",
  "niche": "devops",
  "niche_name": "DevOps & developer-infrastructure tools",
  "niche_short": "DevOps & dev tools",
  "description": "Which observability and monitoring platforms do AI engines recommend when developers and platform teams ask what to use?",
  "audience": "Developers, SREs, and platform engineering leads at B2B SaaS and developer-tools companies",
  "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": "2026-08-07T21:55:15+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": "4021dabe951b2cda",
    "n_prompts": 10,
    "brand_universe": [
      "Datadog",
      "Dynatrace",
      "Elastic",
      "Grafana",
      "Honeycomb",
      "New Relic",
      "OpenTelemetry",
      "Prometheus",
      "Sentry",
      "Splunk"
    ],
    "brand_universe_hash": "0d9663ccf64dc073",
    "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 observability platform for a Series A startup in 2026?",
    "Best application monitoring tool for a small engineering team?",
    "What observability tool should we use for a Kubernetes microservices stack?",
    "Most cost-effective observability platform for a high-traffic SaaS?",
    "Best open-source observability stack for a developer-tools company?",
    "What's the best APM tool for a Node.js backend?",
    "Which observability platform has the best distributed tracing?",
    "Datadog alternative for a budget-conscious startup?",
    "Best tool for monitoring errors and exceptions in production?",
    "What observability platform do platform engineering teams recommend?"
  ],
  "products_field": [
    {
      "name": "Datadog",
      "domain": "datadoghq.com"
    },
    {
      "name": "Grafana",
      "domain": "grafana.com"
    },
    {
      "name": "New Relic",
      "domain": "newrelic.com"
    },
    {
      "name": "Sentry",
      "domain": "sentry.io"
    },
    {
      "name": "Honeycomb",
      "domain": "honeycomb.io"
    },
    {
      "name": "Prometheus",
      "domain": "prometheus.io"
    },
    {
      "name": "Dynatrace",
      "domain": "dynatrace.com"
    },
    {
      "name": "Splunk",
      "domain": "splunk.com"
    },
    {
      "name": "OpenTelemetry",
      "domain": "opentelemetry.io"
    },
    {
      "name": "Elastic",
      "domain": "elastic.co"
    }
  ],
  "run_date": "2026-08-07",
  "last_updated": "2026-08-07",
  "leaderboard": [
    {
      "product": "Datadog",
      "domain": "datadoghq.com",
      "mentions": 446,
      "share_of_model": 0.1823,
      "share_ci": [
        0.1675,
        0.1981
      ],
      "appearance_rate": 0.892,
      "appearance_ci": [
        0.8617,
        0.9163
      ],
      "citation_rate": 0.088,
      "citations": 44,
      "by_engine": {
        "perplexity": {
          "appearance_rate": 0.78,
          "appearance_ci": [
            0.6893,
            0.85
          ],
          "n": 100,
          "mentions": 78
        },
        "gemini": {
          "appearance_rate": 0.87,
          "appearance_ci": [
            0.7902,
            0.9224
          ],
          "n": 100,
          "mentions": 87
        },
        "openai": {
          "appearance_rate": 0.91,
          "appearance_ci": [
            0.8377,
            0.9519
          ],
          "n": 100,
          "mentions": 91
        },
        "anthropic": {
          "appearance_rate": 0.98,
          "appearance_ci": [
            0.93,
            0.9945
          ],
          "n": 100,
          "mentions": 98
        },
        "grok": {
          "appearance_rate": 0.92,
          "appearance_ci": [
            0.85,
            0.9589
          ],
          "n": 100,
          "mentions": 92
        }
      },
      "rank": 1
    },
    {
      "product": "New Relic",
      "domain": "newrelic.com",
      "mentions": 373,
      "share_of_model": 0.1525,
      "share_ci": [
        0.1388,
        0.1673
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        "gemini": {
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    },
    {
      "product": "Grafana",
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        0.1357,
        0.1639
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          "n": 100,
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        }
      },
      "rank": 3
    },
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      "product": "OpenTelemetry",
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      "mentions": 355,
      "share_of_model": 0.1451,
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        0.1317,
        0.1597
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      },
      "rank": 4
    },
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      "product": "Prometheus",
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        0.0872
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}