{
  "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": 12,
    "engines": [
      "Perplexity",
      "Google Gemini",
      "ChatGPT (OpenAI)",
      "Claude (Anthropic)",
      "Grok (xAI)"
    ],
    "engine_keys": [
      "perplexity",
      "gemini",
      "openai",
      "anthropic",
      "grok"
    ],
    "n_prompts": 10,
    "total_answers": 360,
    "errors": 240,
    "confidence_interval": "Wilson score interval, 95% (z=1.96)",
    "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,
    "engines_measured": [
      "ChatGPT (OpenAI)",
      "Claude (Anthropic)",
      "Grok (xAI)"
    ],
    "engine_keys_measured": [
      "openai",
      "anthropic",
      "grok"
    ],
    "min_n_per_engine": 5,
    "coverage_note": "Measured on 3 of 5 engines this run — Perplexity, Google Gemini were unavailable and are excluded from every figure."
  },
  "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?"
  ],
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    {
      "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"
    }
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  "run_date": "2026-06-23",
  "last_updated": "2026-06-23",
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  "provider": {
    "name": "Clear Cited",
    "url": "https://clearcited.com",
    "index_url": "https://clearcited.com/ai-visibility-index/"
  },
  "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. "
}