{
  "schema_version": 1,
  "category": "Product analytics platforms",
  "slug": "product-analytics-platforms",
  "niche": "b2b_saas",
  "niche_name": "B2B SaaS",
  "niche_short": "B2B SaaS",
  "description": "Which product analytics platforms do AI engines recommend when B2B SaaS founders, growth and product teams ask what to use to measure activation, retention and funnels?",
  "audience": "B2B SaaS founders, growth leaders, product marketers and data/analytics leads",
  "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": "2026-08-07T22:23:42+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": "87cd4f2de9e71b0b",
    "n_prompts": 10,
    "brand_universe": [
      "Amplitude",
      "Google Analytics",
      "Heap",
      "Heatmap",
      "June",
      "Mixpanel",
      "Pendo",
      "Plausible",
      "PostHog",
      "Segment"
    ],
    "brand_universe_hash": "08518b6a337dff0b",
    "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 product analytics software for a B2B SaaS startup in 2026?",
    "Best product analytics tool for an early-stage SaaS company?",
    "Amplitude vs Mixpanel for a B2B SaaS product team?",
    "Mixpanel vs PostHog for a startup that wants self-hosting?",
    "Most cost-effective product analytics platform for a seed-stage SaaS?",
    "Best product analytics for tracking activation and retention in B2B SaaS?",
    "What's a good Amplitude alternative for a budget-conscious startup?",
    "Best open-source product analytics platform for a developer-focused SaaS?",
    "Which product analytics tool integrates best with a modern data warehouse?",
    "What product analytics platform do B2B SaaS growth teams recommend?"
  ],
  "products_field": [
    {
      "name": "Amplitude",
      "domain": "amplitude.com"
    },
    {
      "name": "Mixpanel",
      "domain": "mixpanel.com"
    },
    {
      "name": "PostHog",
      "domain": "posthog.com"
    },
    {
      "name": "Heap",
      "domain": "heap.io"
    },
    {
      "name": "Google Analytics",
      "domain": "google.com"
    },
    {
      "name": "Pendo",
      "domain": "pendo.io"
    },
    {
      "name": "Segment",
      "domain": "segment.com"
    },
    {
      "name": "Heatmap",
      "domain": "heatmap.com"
    },
    {
      "name": "June",
      "domain": "june.so"
    },
    {
      "name": "Plausible",
      "domain": "plausible.io"
    }
  ],
  "run_date": "2026-08-07",
  "last_updated": "2026-08-07",
  "leaderboard": [
    {
      "product": "Mixpanel",
      "domain": "mixpanel.com",
      "mentions": 465,
      "share_of_model": 0.2399,
      "share_ci": [
        0.2215,
        0.2595
      ],
      "appearance_rate": 0.93,
      "appearance_ci": [
        0.9042,
        0.9492
      ],
      "citation_rate": 0.066,
      "citations": 33,
      "by_engine": {
        "perplexity": {
          "appearance_rate": 0.91,
          "appearance_ci": [
            0.8377,
            0.9519
          ],
          "n": 100,
          "mentions": 91
        },
        "gemini": {
          "appearance_rate": 0.95,
          "appearance_ci": [
            0.8882,
            0.9785
          ],
          "n": 100,
          "mentions": 95
        },
        "openai": {
          "appearance_rate": 0.93,
          "appearance_ci": [
            0.8625,
            0.9657
          ],
          "n": 100,
          "mentions": 93
        },
        "anthropic": {
          "appearance_rate": 0.9,
          "appearance_ci": [
            0.8256,
            0.9448
          ],
          "n": 100,
          "mentions": 90
        },
        "grok": {
          "appearance_rate": 0.96,
          "appearance_ci": [
            0.9016,
            0.9843
          ],
          "n": 100,
          "mentions": 96
        }
      },
      "rank": 1
    },
    {
      "product": "PostHog",
      "domain": "posthog.com",
      "mentions": 432,
      "share_of_model": 0.2229,
      "share_ci": [
        0.2049,
        0.242
      ],
      "appearance_rate": 0.864,
      "appearance_ci": [
        0.8312,
        0.8913
      ],
      "citation_rate": 0.066,
      "citations": 33,
      "by_engine": {
        "perplexity": {
          "appearance_rate": 0.85,
          "appearance_ci": [
            0.7672,
            0.9069
          ],
          "n": 100,
          "mentions": 85
        },
        "gemini": {
          "appearance_rate": 0.84,
          "appearance_ci": [
            0.7558,
            0.899
          ],
          "n": 100,
          "mentions": 84
        },
        "openai": {
          "appearance_rate": 0.87,
          "appearance_ci": [
            0.7902,
            0.9224
          ],
          "n": 100,
          "mentions": 87
        },
        "anthropic": {
          "appearance_rate": 0.87,
          "appearance_ci": [
            0.7902,
            0.9224
          ],
          "n": 100,
          "mentions": 87
        },
        "grok": {
          "appearance_rate": 0.89,
          "appearance_ci": [
            0.8137,
            0.9375
          ],
          "n": 100,
          "mentions": 89
        }
      },
      "rank": 2
    },
    {
      "product": "Amplitude",
      "domain": "amplitude.com",
      "mentions": 394,
      "share_of_model": 0.2033,
      "share_ci": [
        0.186,
        0.2218
      ],
      "appearance_rate": 0.788,
      "appearance_ci": [
        0.75,
        0.8216
      ],
      "citation_rate": 0.178,
      "citations": 89,
      "by_engine": {
        "perplexity": {
          "appearance_rate": 0.72,
          "appearance_ci": [
            0.6251,
            0.7986
          ],
          "n": 100,
          "mentions": 72
        },
        "gemini": {
          "appearance_rate": 0.8,
          "appearance_ci": [
            0.7112,
            0.8666
          ],
          "n": 100,
          "mentions": 80
        },
        "openai": {
          "appearance_rate": 0.78,
          "appearance_ci": [
            0.6893,
            0.85
          ],
          "n": 100,
          "mentions": 78
        },
        "anthropic": {
          "appearance_rate": 0.78,
          "appearance_ci": [
            0.6893,
            0.85
          ],
          "n": 100,
          "mentions": 78
        },
        "grok": {
          "appearance_rate": 0.86,
          "appearance_ci": [
            0.7786,
            0.9147
          ],
          "n": 100,
          "mentions": 86
        }
      },
      "rank": 3
    },
    {
      "product": "Heap",
      "domain": "heap.io",
      "mentions": 222,
      "share_of_model": 0.1146,
      "share_ci": [
        0.1011,
        0.1295
      ],
      "appearance_rate": 0.444,
      "appearance_ci": [
        0.401,
        0.4878
      ],
      "citation_rate": 0.02,
      "citations": 10,
      "by_engine": {
        "perplexity": {
          "appearance_rate": 0.14,
          "appearance_ci": [
            0.0853,
            0.2214
          ],
          "n": 100,
          "mentions": 14
        },
        "gemini": {
          "appearance_rate": 0.68,
          "appearance_ci": [
            0.5834,
            0.7633
          ],
          "n": 100,
          "mentions": 68
        },
        "openai": {
          "appearance_rate": 0.62,
          "appearance_ci": [
            0.5221,
            0.709
          ],
          "n": 100,
          "mentions": 62
        },
        "anthropic": {
          "appearance_rate": 0.28,
          "appearance_ci": [
            0.2014,
            0.3749
          ],
          "n": 100,
          "mentions": 28
        },
        "grok": {
          "appearance_rate": 0.5,
          "appearance_ci": [
            0.4038,
            0.5962
          ],
          "n": 100,
          "mentions": 50
        }
      },
      "rank": 4
    },
    {
      "product": "Pendo",
      "domain": "pendo.io",
      "mentions": 189,
      "share_of_model": 0.0975,
      "share_ci": [
        0.0851,
        0.1115
      ],
      "appearance_rate": 0.378,
      "appearance_ci": [
        0.3366,
        0.4213
      ],
      "citation_rate": 0.108,
      "citations": 54,
      "by_engine": {
        "perplexity": {
          "appearance_rate": 0.3,
          "appearance_ci": [
            0.2189,
            0.3959
          ],
          "n": 100,
          "mentions": 30
        },
        "gemini": {
          "appearance_rate": 0.6,
          "appearance_ci": [
            0.502,
            0.6906
          ],
          "n": 100,
          "mentions": 60
        },
        "openai": {
          "appearance_rate": 0.36,
          "appearance_ci": [
            0.2727,
            0.4576
          ],
          "n": 100,
          "mentions": 36
        },
        "anthropic": {
          "appearance_rate": 0.32,
          "appearance_ci": [
            0.2367,
            0.4166
          ],
          "n": 100,
          "mentions": 32
        },
        "grok": {
          "appearance_rate": 0.31,
          "appearance_ci": [
            0.2278,
            0.4063
          ],
          "n": 100,
          "mentions": 31
        }
      },
      "rank": 5
    },
    {
      "product": "Google Analytics",
      "domain": "google.com",
      "mentions": 108,
      "share_of_model": 0.0557,
      "share_ci": [
        0.0464,
        0.0668
      ],
      "appearance_rate": 0.216,
      "appearance_ci": [
        0.1822,
        0.2542
      ],
      "citation_rate": 0.2,
      "citations": 100,
      "by_engine": {
        "perplexity": {
          "appearance_rate": 0.17,
          "appearance_ci": [
            0.1089,
            0.2555
          ],
          "n": 100,
          "mentions": 17
        },
        "gemini": {
          "appearance_rate": 0.38,
          "appearance_ci": [
            0.291,
            0.4779
          ],
          "n": 100,
          "mentions": 38
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        "openai": {
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            0.0157,
            0.0984
          ],
          "n": 100,
          "mentions": 4
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        "anthropic": {
          "appearance_rate": 0.24,
          "appearance_ci": [
            0.1669,
            0.3323
          ],
          "n": 100,
          "mentions": 24
        },
        "grok": {
          "appearance_rate": 0.25,
          "appearance_ci": [
            0.1755,
            0.343
          ],
          "n": 100,
          "mentions": 25
        }
      },
      "rank": 6
    },
    {
      "product": "Segment",
      "domain": "segment.com",
      "mentions": 59,
      "share_of_model": 0.0304,
      "share_ci": [
        0.0237,
        0.0391
      ],
      "appearance_rate": 0.118,
      "appearance_ci": [
        0.0926,
        0.1492
      ],
      "citation_rate": 0.0,
      "citations": 0,
      "by_engine": {
        "perplexity": {
          "appearance_rate": 0.02,
          "appearance_ci": [
            0.0055,
            0.07
          ],
          "n": 100,
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        "gemini": {
          "appearance_rate": 0.07,
          "appearance_ci": [
            0.0343,
            0.1375
          ],
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          "mentions": 7
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        "openai": {
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          "appearance_ci": [
            0.0931,
            0.2328
          ],
          "n": 100,
          "mentions": 15
        },
        "anthropic": {
          "appearance_rate": 0.06,
          "appearance_ci": [
            0.0278,
            0.1248
          ],
          "n": 100,
          "mentions": 6
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        "grok": {
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            0.2101,
            0.3854
          ],
          "n": 100,
          "mentions": 29
        }
      },
      "rank": 7
    },
    {
      "product": "Plausible",
      "domain": "plausible.io",
      "mentions": 50,
      "share_of_model": 0.0258,
      "share_ci": [
        0.0196,
        0.0339
      ],
      "appearance_rate": 0.1,
      "appearance_ci": [
        0.0767,
        0.1294
      ],
      "citation_rate": 0.0,
      "citations": 0,
      "by_engine": {
        "perplexity": {
          "appearance_rate": 0.05,
          "appearance_ci": [
            0.0215,
            0.1118
          ],
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        "gemini": {
          "appearance_rate": 0.09,
          "appearance_ci": [
            0.0481,
            0.1623
          ],
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          "mentions": 9
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        "openai": {
          "appearance_rate": 0.2,
          "appearance_ci": [
            0.1334,
            0.2888
          ],
          "n": 100,
          "mentions": 20
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        "anthropic": {
          "appearance_rate": 0.01,
          "appearance_ci": [
            0.0018,
            0.0545
          ],
          "n": 100,
          "mentions": 1
        },
        "grok": {
          "appearance_rate": 0.15,
          "appearance_ci": [
            0.0931,
            0.2328
          ],
          "n": 100,
          "mentions": 15
        }
      },
      "rank": 8
    },
    {
      "product": "June",
      "domain": "june.so",
      "mentions": 19,
      "share_of_model": 0.0098,
      "share_ci": [
        0.0063,
        0.0153
      ],
      "appearance_rate": 0.038,
      "appearance_ci": [
        0.0245,
        0.0586
      ],
      "citation_rate": 0.002,
      "citations": 1,
      "by_engine": {
        "perplexity": {
          "appearance_rate": 0.03,
          "appearance_ci": [
            0.0103,
            0.0845
          ],
          "n": 100,
          "mentions": 3
        },
        "gemini": {
          "appearance_rate": 0.0,
          "appearance_ci": [
            0.0,
            0.037
          ],
          "n": 100,
          "mentions": 0
        },
        "openai": {
          "appearance_rate": 0.15,
          "appearance_ci": [
            0.0931,
            0.2328
          ],
          "n": 100,
          "mentions": 15
        },
        "anthropic": {
          "appearance_rate": 0.01,
          "appearance_ci": [
            0.0018,
            0.0545
          ],
          "n": 100,
          "mentions": 1
        },
        "grok": {
          "appearance_rate": 0.0,
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            0.0,
            0.037
          ],
          "n": 100,
          "mentions": 0
        }
      },
      "rank": 9
    },
    {
      "product": "Heatmap",
      "domain": "heatmap.com",
      "mentions": 0,
      "share_of_model": 0.0,
      "share_ci": [
        0.0,
        0.002
      ],
      "appearance_rate": 0.0,
      "appearance_ci": [
        0.0,
        0.0076
      ],
      "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": 0.0,
          "appearance_ci": [
            0.0,
            0.037
          ],
          "n": 100,
          "mentions": 0
        },
        "openai": {
          "appearance_rate": 0.0,
          "appearance_ci": [
            0.0,
            0.037
          ],
          "n": 100,
          "mentions": 0
        },
        "anthropic": {
          "appearance_rate": 0.0,
          "appearance_ci": [
            0.0,
            0.037
          ],
          "n": 100,
          "mentions": 0
        },
        "grok": {
          "appearance_rate": 0.0,
          "appearance_ci": [
            0.0,
            0.037
          ],
          "n": 100,
          "mentions": 0
        }
      },
      "rank": 10
    }
  ],
  "citation_sources": {
    "total_citations": 4816,
    "third_party_citations": 4529,
    "off_site_pct": 0.9404,
    "top": [
      {
        "domain": "vertexaisearch.cloud.google.com",
        "count": 1404,
        "share_of_citations": 0.2915,
        "first_party": false,
        "type": "other"
      },
      {
        "domain": "userpilot.com",
        "count": 175,
        "share_of_citations": 0.0363,
        "first_party": false,
        "type": "other"
      },
      {
        "domain": "amplitude.com",
        "count": 143,
        "share_of_citations": 0.0297,
        "first_party": true,
        "type": "comparison"
      },
      {
        "domain": "gainsight.com",
        "count": 138,
        "share_of_citations": 0.0287,
        "first_party": false,
        "type": "other"
      },
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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. "
}