{
  "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": 12,
    "engines": [
      "Perplexity",
      "Google Gemini",
      "ChatGPT (OpenAI)",
      "Claude (Anthropic)",
      "Grok (xAI)"
    ],
    "engine_keys": [
      "perplexity",
      "gemini",
      "openai",
      "anthropic",
      "grok"
    ],
    "n_prompts": 10,
    "total_answers": 358,
    "errors": 242,
    "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 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": "2026-06-23",
  "last_updated": "2026-06-23",
  "leaderboard": [
    {
      "product": "Flagsmith",
      "domain": "flagsmith.com",
      "mentions": 262,
      "share_of_model": 0.1723,
      "share_ci": [
        0.1541,
        0.1921
      ],
      "appearance_rate": 0.7318,
      "appearance_ci": [
        0.6837,
        0.7751
      ],
      "citation_rate": 0.1732,
      "citations": 62,
      "by_engine": {
        "perplexity": {
          "appearance_rate": 0.0,
          "appearance_ci": [
            0.0,
            0.0
          ],
          "n": 0,
          "mentions": 0
        },
        "gemini": {
          "appearance_rate": 0.0,
          "appearance_ci": [
            0.0,
            0.0
          ],
          "n": 0,
          "mentions": 0
        },
        "openai": {
          "appearance_rate": 0.839,
          "appearance_ci": [
            0.7622,
            0.8944
          ],
          "n": 118,
          "mentions": 99
        },
        "anthropic": {
          "appearance_rate": 0.5667,
          "appearance_ci": [
            0.4773,
            0.6519
          ],
          "n": 120,
          "mentions": 68
        },
        "grok": {
          "appearance_rate": 0.7917,
          "appearance_ci": [
            0.7105,
            0.8547
          ],
          "n": 120,
          "mentions": 95
        }
      },
      "rank": 1
    },
    {
      "product": "LaunchDarkly",
      "domain": "launchdarkly.com",
      "mentions": 259,
      "share_of_model": 0.1703,
      "share_ci": [
        0.1522,
        0.19
      ],
      "appearance_rate": 0.7235,
      "appearance_ci": [
        0.6749,
        0.7672
      ],
      "citation_rate": 0.0335,
      "citations": 12,
      "by_engine": {
        "perplexity": {
          "appearance_rate": 0.0,
          "appearance_ci": [
            0.0,
            0.0
          ],
          "n": 0,
          "mentions": 0
        },
        "gemini": {
          "appearance_rate": 0.0,
          "appearance_ci": [
            0.0,
            0.0
          ],
          "n": 0,
          "mentions": 0
        },
        "openai": {
          "appearance_rate": 0.7542,
          "appearance_ci": [
            0.6694,
            0.8231
          ],
          "n": 118,
          "mentions": 89
        },
        "anthropic": {
          "appearance_rate": 0.525,
          "appearance_ci": [
            0.4363,
            0.6122
          ],
          "n": 120,
          "mentions": 63
        },
        "grok": {
          "appearance_rate": 0.8917,
          "appearance_ci": [
            0.8234,
            0.9356
          ],
          "n": 120,
          "mentions": 107
        }
      },
      "rank": 2
    },
    {
      "product": "GrowthBook",
      "domain": "growthbook.io",
      "mentions": 217,
      "share_of_model": 0.1427,
      "share_ci": [
        0.126,
        0.1611
      ],
      "appearance_rate": 0.6061,
      "appearance_ci": [
        0.5547,
        0.6554
      ],
      "citation_rate": 0.1369,
      "citations": 49,
      "by_engine": {
        "perplexity": {
          "appearance_rate": 0.0,
          "appearance_ci": [
            0.0,
            0.0
          ],
          "n": 0,
          "mentions": 0
        },
        "gemini": {
          "appearance_rate": 0.0,
          "appearance_ci": [
            0.0,
            0.0
          ],
          "n": 0,
          "mentions": 0
        },
        "openai": {
          "appearance_rate": 0.3644,
          "appearance_ci": [
            0.2831,
            0.4542
          ],
          "n": 118,
          "mentions": 43
        },
        "anthropic": {
          "appearance_rate": 0.775,
          "appearance_ci": [
            0.6924,
            0.8405
          ],
          "n": 120,
          "mentions": 93
        },
        "grok": {
          "appearance_rate": 0.675,
          "appearance_ci": [
            0.5869,
            0.7522
          ],
          "n": 120,
          "mentions": 81
        }
      },
      "rank": 3
    },
    {
      "product": "Unleash",
      "domain": "getunleash.io",
      "mentions": 199,
      "share_of_model": 0.1308,
      "share_ci": [
        0.1148,
        0.1487
      ],
      "appearance_rate": 0.5559,
      "appearance_ci": [
        0.5041,
        0.6065
      ],
      "citation_rate": 0.1229,
      "citations": 44,
      "by_engine": {
        "perplexity": {
          "appearance_rate": 0.0,
          "appearance_ci": [
            0.0,
            0.0
          ],
          "n": 0,
          "mentions": 0
        },
        "gemini": {
          "appearance_rate": 0.0,
          "appearance_ci": [
            0.0,
            0.0
          ],
          "n": 0,
          "mentions": 0
        },
        "openai": {
          "appearance_rate": 0.5932,
          "appearance_ci": [
            0.503,
            0.6776
          ],
          "n": 118,
          "mentions": 70
        },
        "anthropic": {
          "appearance_rate": 0.4833,
          "appearance_ci": [
            0.3958,
            0.5719
          ],
          "n": 120,
          "mentions": 58
        },
        "grok": {
          "appearance_rate": 0.5917,
          "appearance_ci": [
            0.5022,
            0.6754
          ],
          "n": 120,
          "mentions": 71
        }
      },
      "rank": 4
    },
    {
      "product": "PostHog",
      "domain": "posthog.com",
      "mentions": 169,
      "share_of_model": 0.1111,
      "share_ci": [
        0.0963,
        0.1279
      ],
      "appearance_rate": 0.4721,
      "appearance_ci": [
        0.4209,
        0.5238
      ],
      "citation_rate": 0.1704,
      "citations": 61,
      "by_engine": {
        "perplexity": {
          "appearance_rate": 0.0,
          "appearance_ci": [
            0.0,
            0.0
          ],
          "n": 0,
          "mentions": 0
        },
        "gemini": {
          "appearance_rate": 0.0,
          "appearance_ci": [
            0.0,
            0.0
          ],
          "n": 0,
          "mentions": 0
        },
        "openai": {
          "appearance_rate": 0.4831,
          "appearance_ci": [
            0.3949,
            0.5723
          ],
          "n": 118,
          "mentions": 57
        },
        "anthropic": {
          "appearance_rate": 0.4083,
          "appearance_ci": [
            0.3246,
            0.4978
          ],
          "n": 120,
          "mentions": 49
        },
        "grok": {
          "appearance_rate": 0.525,
          "appearance_ci": [
            0.4363,
            0.6122
          ],
          "n": 120,
          "mentions": 63
        }
      },
      "rank": 5
    },
    {
      "product": "Statsig",
      "domain": "statsig.com",
      "mentions": 140,
      "share_of_model": 0.092,
      "share_ci": [
        0.0785,
        0.1076
      ],
      "appearance_rate": 0.3911,
      "appearance_ci": [
        0.3419,
        0.4425
      ],
      "citation_rate": 0.1816,
      "citations": 65,
      "by_engine": {
        "perplexity": {
          "appearance_rate": 0.0,
          "appearance_ci": [
            0.0,
            0.0
          ],
          "n": 0,
          "mentions": 0
        },
        "gemini": {
          "appearance_rate": 0.0,
          "appearance_ci": [
            0.0,
            0.0
          ],
          "n": 0,
          "mentions": 0
        },
        "openai": {
          "appearance_rate": 0.4407,
          "appearance_ci": [
            0.3544,
            0.5307
          ],
          "n": 118,
          "mentions": 52
        },
        "anthropic": {
          "appearance_rate": 0.4583,
          "appearance_ci": [
            0.3719,
            0.5474
          ],
          "n": 120,
          "mentions": 55
        },
        "grok": {
          "appearance_rate": 0.275,
          "appearance_ci": [
            0.203,
            0.3609
          ],
          "n": 120,
          "mentions": 33
        }
      },
      "rank": 6
    },
    {
      "product": "Split",
      "domain": "split.io",
      "mentions": 120,
      "share_of_model": 0.0789,
      "share_ci": [
        0.0664,
        0.0935
      ],
      "appearance_rate": 0.3352,
      "appearance_ci": [
        0.2883,
        0.3856
      ],
      "citation_rate": 0.0,
      "citations": 0,
      "by_engine": {
        "perplexity": {
          "appearance_rate": 0.0,
          "appearance_ci": [
            0.0,
            0.0
          ],
          "n": 0,
          "mentions": 0
        },
        "gemini": {
          "appearance_rate": 0.0,
          "appearance_ci": [
            0.0,
            0.0
          ],
          "n": 0,
          "mentions": 0
        },
        "openai": {
          "appearance_rate": 0.2288,
          "appearance_ci": [
            0.1623,
            0.3124
          ],
          "n": 118,
          "mentions": 27
        },
        "anthropic": {
          "appearance_rate": 0.2833,
          "appearance_ci": [
            0.2104,
            0.3697
          ],
          "n": 120,
          "mentions": 34
        },
        "grok": {
          "appearance_rate": 0.4917,
          "appearance_ci": [
            0.4039,
            0.58
          ],
          "n": 120,
          "mentions": 59
        }
      },
      "rank": 7
    },
    {
      "product": "ConfigCat",
      "domain": "configcat.com",
      "mentions": 104,
      "share_of_model": 0.0684,
      "share_ci": [
        0.0567,
        0.0822
      ],
      "appearance_rate": 0.2905,
      "appearance_ci": [
        0.2459,
        0.3396
      ],
      "citation_rate": 0.0642,
      "citations": 23,
      "by_engine": {
        "perplexity": {
          "appearance_rate": 0.0,
          "appearance_ci": [
            0.0,
            0.0
          ],
          "n": 0,
          "mentions": 0
        },
        "gemini": {
          "appearance_rate": 0.0,
          "appearance_ci": [
            0.0,
            0.0
          ],
          "n": 0,
          "mentions": 0
        },
        "openai": {
          "appearance_rate": 0.4153,
          "appearance_ci": [
            0.3304,
            0.5055
          ],
          "n": 118,
          "mentions": 49
        },
        "anthropic": {
          "appearance_rate": 0.2333,
          "appearance_ci": [
            0.1667,
            0.3166
          ],
          "n": 120,
          "mentions": 28
        },
        "grok": {
          "appearance_rate": 0.225,
          "appearance_ci": [
            0.1595,
            0.3076
          ],
          "n": 120,
          "mentions": 27
        }
      },
      "rank": 8
    },
    {
      "product": "Optimizely",
      "domain": "optimizely.com",
      "mentions": 28,
      "share_of_model": 0.0184,
      "share_ci": [
        0.0128,
        0.0265
      ],
      "appearance_rate": 0.0782,
      "appearance_ci": [
        0.0547,
        0.1107
      ],
      "citation_rate": 0.0,
      "citations": 0,
      "by_engine": {
        "perplexity": {
          "appearance_rate": 0.0,
          "appearance_ci": [
            0.0,
            0.0
          ],
          "n": 0,
          "mentions": 0
        },
        "gemini": {
          "appearance_rate": 0.0,
          "appearance_ci": [
            0.0,
            0.0
          ],
          "n": 0,
          "mentions": 0
        },
        "openai": {
          "appearance_rate": 0.0254,
          "appearance_ci": [
            0.0087,
            0.0721
          ],
          "n": 118,
          "mentions": 3
        },
        "anthropic": {
          "appearance_rate": 0.0,
          "appearance_ci": [
            0.0,
            0.031
          ],
          "n": 120,
          "mentions": 0
        },
        "grok": {
          "appearance_rate": 0.2083,
          "appearance_ci": [
            0.1453,
            0.2895
          ],
          "n": 120,
          "mentions": 25
        }
      },
      "rank": 9
    },
    {
      "product": "Harness Feature Flags",
      "domain": "harness.io",
      "mentions": 23,
      "share_of_model": 0.0151,
      "share_ci": [
        0.0101,
        0.0226
      ],
      "appearance_rate": 0.0642,
      "appearance_ci": [
        0.0432,
        0.0946
      ],
      "citation_rate": 0.0223,
      "citations": 8,
      "by_engine": {
        "perplexity": {
          "appearance_rate": 0.0,
          "appearance_ci": [
            0.0,
            0.0
          ],
          "n": 0,
          "mentions": 0
        },
        "gemini": {
          "appearance_rate": 0.0,
          "appearance_ci": [
            0.0,
            0.0
          ],
          "n": 0,
          "mentions": 0
        },
        "openai": {
          "appearance_rate": 0.0339,
          "appearance_ci": [
            0.0133,
            0.0839
          ],
          "n": 118,
          "mentions": 4
        },
        "anthropic": {
          "appearance_rate": 0.15,
          "appearance_ci": [
            0.097,
            0.2247
          ],
          "n": 120,
          "mentions": 18
        },
        "grok": {
          "appearance_rate": 0.0083,
          "appearance_ci": [
            0.0015,
            0.0457
          ],
          "n": 120,
          "mentions": 1
        }
      },
      "rank": 10
    }
  ],
  "citation_sources": {
    "total_citations": 2309,
    "third_party_citations": 1464,
    "off_site_pct": 0.634,
    "top": [
      {
        "domain": "statsig.com",
        "count": 258,
        "share_of_citations": 0.1117,
        "first_party": true
      },
      {
        "domain": "cadence.withremote.ai",
        "count": 241,
        "share_of_citations": 0.1044,
        "first_party": false
      },
      {
        "domain": "posthog.com",
        "count": 166,
        "share_of_citations": 0.0719,
        "first_party": true
      },
      {
        "domain": "kameleoon.com",
        "count": 164,
        "share_of_citations": 0.071,
        "first_party": false
      },
      {
        "domain": "growthbook.io",
        "count": 145,
        "share_of_citations": 0.0628,
        "first_party": true
      },
      {
        "domain": "flagsmith.com",
        "count": 120,
        "share_of_citations": 0.052,
        "first_party": true
      },
      {
        "domain": "flagshark.com",
        "count": 91,
        "share_of_citations": 0.0394,
        "first_party": false
      },
      {
        "domain": "amplitude.com",
        "count": 82,
        "share_of_citations": 0.0355,
        "first_party": false
      },
      {
        "domain": "growthlayer.app",
        "count": 74,
        "share_of_citations": 0.032,
        "first_party": false
      },
      {
        "domain": "configcat.com",
        "count": 73,
        "share_of_citations": 0.0316,
        "first_party": true
      },
      {
        "domain": "getunleash.io",
        "count": 55,
        "share_of_citations": 0.0238,
        "first_party": true
      },
      {
        "domain": "ideaplan.io",
        "count": 48,
        "share_of_citations": 0.0208,
        "first_party": false
      },
      {
        "domain": "techjockey.com",
        "count": 48,
        "share_of_citations": 0.0208,
        "first_party": false
      },
      {
        "domain": "moesif.com",
        "count": 46,
        "share_of_citations": 0.0199,
        "first_party": false
      },
      {
        "domain": "flagsmith-user.com",
        "count": 44,
        "share_of_citations": 0.0191,
        "first_party": false
      },
      {
        "domain": "apiscout.dev",
        "count": 39,
        "share_of_citations": 0.0169,
        "first_party": false
      },
      {
        "domain": "opensourcealternative.to",
        "count": 34,
        "share_of_citations": 0.0147,
        "first_party": false
      },
      {
        "domain": "typoniels.dev",
        "count": 31,
        "share_of_citations": 0.0134,
        "first_party": false
      },
      {
        "domain": "pngaaa.com",
        "count": 25,
        "share_of_citations": 0.0108,
        "first_party": false
      },
      {
        "domain": "shl.com",
        "count": 25,
        "share_of_citations": 0.0108,
        "first_party": false
      }
    ]
  },
  "headline_stats": [
    "Flagsmith leads our AI Visibility Index for Feature flag platforms at 17% share-of-model across 3 AI engines.",
    "When AI recommends Feature flag platforms, the top 3 by share-of-model are Flagsmith, LaunchDarkly, GrowthBook — measured over 12+ runs per engine, not a single screenshot.",
    "Even the Feature flag platforms leader, Flagsmith, swings from 84% on ChatGPT (OpenAI) to 57% 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 3 AI engines.",
      "hashtags": [
        "#DevOps",
        "#DevTools",
        "#SRE",
        "#PlatformEngineering",
        "#Observability",
        "#Kubernetes"
      ],
      "url": "https://clearcited.com/ai-visibility-index/feature-flags/"
    },
    {
      "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 12+ runs per engine, not a single screenshot.",
      "hashtags": [
        "#DevOps",
        "#DevTools",
        "#SRE",
        "#PlatformEngineering",
        "#Observability",
        "#Kubernetes"
      ],
      "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 84% on ChatGPT (OpenAI) to 57% on Claude (Anthropic). AI visibility is engine-specific.",
      "hashtags": [
        "#DevOps",
        "#DevTools",
        "#SRE",
        "#PlatformEngineering",
        "#Observability",
        "#Kubernetes"
      ],
      "url": "https://clearcited.com/ai-visibility-index/feature-flags/"
    }
  ],
  "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. "
}