{
  "schema_version": 1,
  "category": "Feature flag platforms",
  "slug": "feature-flags",
  "niche": "devops",
  "niche_name": "DevOps & developer-infrastructure tools",
  "niche_short": "DevOps & dev tools",
  "description": "Which feature flag and experimentation platforms do AI engines recommend when teams ask what to use to roll out, target and test features safely?",
  "audience": "Platform and product engineers, and the founders + DevRel who sell feature management tools",
  "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": "2026-08-07T23:36:44+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": "3765f4d0db416320",
    "n_prompts": 10,
    "brand_universe": [
      "ConfigCat",
      "Flagsmith",
      "GrowthBook",
      "Harness Feature Flags",
      "LaunchDarkly",
      "Optimizely",
      "PostHog",
      "Split",
      "Statsig",
      "Unleash"
    ],
    "brand_universe_hash": "e51840e708b27e15",
    "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 feature flag platform for a Series A startup in 2026?",
    "Best feature flagging tool for a small engineering team?",
    "What feature flag service should we use for a microservices stack?",
    "Most cost-effective feature flag platform for a high-traffic SaaS?",
    "Best open-source feature flag tool for a budget-conscious startup?",
    "LaunchDarkly vs Statsig for progressive rollouts?",
    "Split vs Flagsmith for a product team running experiments?",
    "What's a good LaunchDarkly alternative that is self-hostable?",
    "Best feature flag platform with built-in experimentation and analytics?",
    "Which feature management tool do platform engineering teams recommend?"
  ],
  "products_field": [
    {
      "name": "LaunchDarkly",
      "domain": "launchdarkly.com"
    },
    {
      "name": "Statsig",
      "domain": "statsig.com"
    },
    {
      "name": "Split",
      "domain": "split.io"
    },
    {
      "name": "Flagsmith",
      "domain": "flagsmith.com"
    },
    {
      "name": "Unleash",
      "domain": "getunleash.io"
    },
    {
      "name": "ConfigCat",
      "domain": "configcat.com"
    },
    {
      "name": "GrowthBook",
      "domain": "growthbook.io"
    },
    {
      "name": "PostHog",
      "domain": "posthog.com"
    },
    {
      "name": "Optimizely",
      "domain": "optimizely.com"
    },
    {
      "name": "Harness Feature Flags",
      "domain": "harness.io"
    }
  ],
  "run_date": "2026-08-07",
  "last_updated": "2026-08-07",
  "leaderboard": [
    {
      "product": "Flagsmith",
      "domain": "flagsmith.com",
      "mentions": 369,
      "share_of_model": 0.1683,
      "share_ci": [
        0.1532,
        0.1845
      ],
      "appearance_rate": 0.738,
      "appearance_ci": [
        0.6977,
        0.7746
      ],
      "citation_rate": 0.268,
      "citations": 134,
      "by_engine": {
        "perplexity": {
          "appearance_rate": 0.66,
          "appearance_ci": [
            0.5628,
            0.7454
          ],
          "n": 100,
          "mentions": 66
        },
        "gemini": {
          "appearance_rate": 0.81,
          "appearance_ci": [
            0.7222,
            0.8749
          ],
          "n": 100,
          "mentions": 81
        },
        "openai": {
          "appearance_rate": 0.77,
          "appearance_ci": [
            0.6785,
            0.8416
          ],
          "n": 100,
          "mentions": 77
        },
        "anthropic": {
          "appearance_rate": 0.65,
          "appearance_ci": [
            0.5525,
            0.7364
          ],
          "n": 100,
          "mentions": 65
        },
        "grok": {
          "appearance_rate": 0.8,
          "appearance_ci": [
            0.7112,
            0.8666
          ],
          "n": 100,
          "mentions": 80
        }
      },
      "rank": 1
    },
    {
      "product": "LaunchDarkly",
      "domain": "launchdarkly.com",
      "mentions": 357,
      "share_of_model": 0.1628,
      "share_ci": [
        0.1479,
        0.1788
      ],
      "appearance_rate": 0.714,
      "appearance_ci": [
        0.6729,
        0.7519
      ],
      "citation_rate": 0.19,
      "citations": 95,
      "by_engine": {
        "perplexity": {
          "appearance_rate": 0.67,
          "appearance_ci": [
            0.5731,
            0.7544
          ],
          "n": 100,
          "mentions": 67
        },
        "gemini": {
          "appearance_rate": 0.7,
          "appearance_ci": [
            0.6041,
            0.7811
          ],
          "n": 100,
          "mentions": 70
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        "openai": {
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          "appearance_ci": [
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          "n": 100,
          "mentions": 73
        },
        "anthropic": {
          "appearance_rate": 0.6,
          "appearance_ci": [
            0.502,
            0.6906
          ],
          "n": 100,
          "mentions": 60
        },
        "grok": {
          "appearance_rate": 0.87,
          "appearance_ci": [
            0.7902,
            0.9224
          ],
          "n": 100,
          "mentions": 87
        }
      },
      "rank": 2
    },
    {
      "product": "GrowthBook",
      "domain": "growthbook.io",
      "mentions": 288,
      "share_of_model": 0.1313,
      "share_ci": [
        0.1178,
        0.1461
      ],
      "appearance_rate": 0.576,
      "appearance_ci": [
        0.5323,
        0.6186
      ],
      "citation_rate": 0.238,
      "citations": 119,
      "by_engine": {
        "perplexity": {
          "appearance_rate": 0.5,
          "appearance_ci": [
            0.4038,
            0.5962
          ],
          "n": 100,
          "mentions": 50
        },
        "gemini": {
          "appearance_rate": 0.7,
          "appearance_ci": [
            0.6041,
            0.7811
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          "n": 100,
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        "openai": {
          "appearance_rate": 0.42,
          "appearance_ci": [
            0.328,
            0.5179
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          "n": 100,
          "mentions": 42
        },
        "anthropic": {
          "appearance_rate": 0.65,
          "appearance_ci": [
            0.5525,
            0.7364
          ],
          "n": 100,
          "mentions": 65
        },
        "grok": {
          "appearance_rate": 0.61,
          "appearance_ci": [
            0.512,
            0.6998
          ],
          "n": 100,
          "mentions": 61
        }
      },
      "rank": 3
    },
    {
      "product": "Unleash",
      "domain": "getunleash.io",
      "mentions": 286,
      "share_of_model": 0.1304,
      "share_ci": [
        0.117,
        0.1452
      ],
      "appearance_rate": 0.572,
      "appearance_ci": [
        0.5282,
        0.6147
      ],
      "citation_rate": 0.17,
      "citations": 85,
      "by_engine": {
        "perplexity": {
          "appearance_rate": 0.59,
          "appearance_ci": [
            0.492,
            0.6813
          ],
          "n": 100,
          "mentions": 59
        },
        "gemini": {
          "appearance_rate": 0.64,
          "appearance_ci": [
            0.5424,
            0.7273
          ],
          "n": 100,
          "mentions": 64
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        "openai": {
          "appearance_rate": 0.63,
          "appearance_ci": [
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            0.7182
          ],
          "n": 100,
          "mentions": 63
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        "anthropic": {
          "appearance_rate": 0.39,
          "appearance_ci": [
            0.3002,
            0.488
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          "n": 100,
          "mentions": 39
        },
        "grok": {
          "appearance_rate": 0.61,
          "appearance_ci": [
            0.512,
            0.6998
          ],
          "n": 100,
          "mentions": 61
        }
      },
      "rank": 4
    },
    {
      "product": "Statsig",
      "domain": "statsig.com",
      "mentions": 247,
      "share_of_model": 0.1126,
      "share_ci": [
        0.1001,
        0.1265
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      "appearance_ci": [
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      "citation_rate": 0.256,
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      "by_engine": {
        "perplexity": {
          "appearance_rate": 0.5,
          "appearance_ci": [
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            0.5962
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          "n": 100,
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        "gemini": {
          "appearance_rate": 0.63,
          "appearance_ci": [
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            0.7182
          ],
          "n": 100,
          "mentions": 63
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        "openai": {
          "appearance_rate": 0.45,
          "appearance_ci": [
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            0.5476
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          "mentions": 45
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        "anthropic": {
          "appearance_rate": 0.53,
          "appearance_ci": [
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            0.6249
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          "n": 100,
          "mentions": 53
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        "grok": {
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          "appearance_ci": [
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            0.4576
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          "n": 100,
          "mentions": 36
        }
      },
      "rank": 5
    },
    {
      "product": "PostHog",
      "domain": "posthog.com",
      "mentions": 225,
      "share_of_model": 0.1026,
      "share_ci": [
        0.0906,
        0.116
      ],
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      "appearance_ci": [
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        0.4938
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      "citations": 72,
      "by_engine": {
        "perplexity": {
          "appearance_rate": 0.52,
          "appearance_ci": [
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            0.6154
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            0.508
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          "mentions": 30
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          "mentions": 48
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      "rank": 6
    },
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      "product": "Split",
      "domain": "split.io",
      "mentions": 160,
      "share_of_model": 0.073,
      "share_ci": [
        0.0628,
        0.0846
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        "gemini": {
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        "anthropic": {
          "appearance_rate": 0.27,
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      "rank": 7
    },
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      "product": "ConfigCat",
      "domain": "configcat.com",
      "mentions": 139,
      "share_of_model": 0.0634,
      "share_ci": [
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        "openai": {
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          "n": 100,
          "mentions": 25
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        "anthropic": {
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          "n": 100,
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        }
      },
      "rank": 8
    },
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      "product": "Harness Feature Flags",
      "domain": "harness.io",
      "mentions": 69,
      "share_of_model": 0.0315,
      "share_ci": [
        0.0249,
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        "gemini": {
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          "appearance_ci": [
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          "n": 100,
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        "openai": {
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          "n": 100,
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        "anthropic": {
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            0.1863
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          "mentions": 11
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        "grok": {
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            0.0545
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          "n": 100,
          "mentions": 1
        }
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      "rank": 9
    },
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      "product": "Optimizely",
      "domain": "optimizely.com",
      "mentions": 53,
      "share_of_model": 0.0242,
      "share_ci": [
        0.0185,
        0.0315
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      "appearance_ci": [
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      "citation_rate": 0.0,
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      "by_engine": {
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          "appearance_rate": 0.07,
          "appearance_ci": [
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            0.1375
          ],
          "n": 100,
          "mentions": 7
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        "gemini": {
          "appearance_rate": 0.17,
          "appearance_ci": [
            0.1089,
            0.2555
          ],
          "n": 100,
          "mentions": 17
        },
        "openai": {
          "appearance_rate": 0.1,
          "appearance_ci": [
            0.0552,
            0.1744
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          "n": 100,
          "mentions": 10
        },
        "anthropic": {
          "appearance_rate": 0.0,
          "appearance_ci": [
            0.0,
            0.037
          ],
          "n": 100,
          "mentions": 0
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        "grok": {
          "appearance_rate": 0.19,
          "appearance_ci": [
            0.1251,
            0.2778
          ],
          "n": 100,
          "mentions": 19
        }
      },
      "rank": 10
    }
  ],
  "citation_sources": {
    "total_citations": 4675,
    "third_party_citations": 3599,
    "off_site_pct": 0.7698,
    "top": [
      {
        "domain": "vertexaisearch.cloud.google.com",
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        "first_party": false,
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      "Best feature flagging tool for a small engineering team?",
      "What feature flag service should we use for a microservices stack?",
      "Most cost-effective feature flag platform for a high-traffic SaaS?",
      "Best open-source feature flag tool for a budget-conscious startup?",
      "LaunchDarkly vs Statsig for progressive rollouts?",
      "Split vs Flagsmith for a product team running experiments?",
      "What's a good LaunchDarkly alternative that is self-hostable?",
      "Best feature flag platform with built-in experimentation and analytics?",
      "Which feature management tool do platform engineering teams recommend?"
    ],
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      "lead_drivers": [
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      "gaps": [
        "maintain the lead as engines shift; defend citation share"
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    }
  ],
  "headline_stats": [
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    "When AI recommends Feature flag platforms, the top 3 by share-of-model are Flagsmith, LaunchDarkly, GrowthBook — measured over 10+ runs per engine, not a single screenshot.",
    "Even the Feature flag platforms leader, Flagsmith, swings from 81% on Google Gemini to 65% on Claude (Anthropic). AI visibility is engine-specific."
  ],
  "headline_stats_tagged": [
    {
      "niche": "devops",
      "niche_short": "DevOps & dev tools",
      "category": "Feature flag platforms",
      "slug": "feature-flags",
      "text": "Flagsmith leads our AI Visibility Index for Feature flag platforms at 17% share-of-model across 5 AI engines.",
      "hashtags": [
        "#DevOps",
        "#DevTools",
        "#SRE",
        "#PlatformEngineering",
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    },
    {
      "niche": "devops",
      "niche_short": "DevOps & dev tools",
      "category": "Feature flag platforms",
      "slug": "feature-flags",
      "text": "When AI recommends Feature flag platforms, the top 3 by share-of-model are Flagsmith, LaunchDarkly, GrowthBook — measured over 10+ runs per engine, not a single screenshot.",
      "hashtags": [
        "#DevOps",
        "#DevTools",
        "#SRE",
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      "url": "https://clearcited.com/ai-visibility-index/feature-flags/"
    },
    {
      "niche": "devops",
      "niche_short": "DevOps & dev tools",
      "category": "Feature flag platforms",
      "slug": "feature-flags",
      "text": "Even the Feature flag platforms leader, Flagsmith, swings from 81% on Google Gemini to 65% on Claude (Anthropic). AI visibility is engine-specific.",
      "hashtags": [
        "#DevOps",
        "#DevTools",
        "#SRE",
        "#PlatformEngineering",
        "#Observability",
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      "url": "https://clearcited.com/ai-visibility-index/feature-flags/"
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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. "
}