{
  "@context": "https://schema.org",
  "@type": "Dataset",
  "name": "Top 30 marques B2B francaises citees par ChatGPT en avril 2026",
  "description": "Dataset proprietaire Academie GEO. Classement de 30 marques B2B francaises selon leur frequence de citation par ChatGPT sur un panel de 60 prompts B2B francais joues le 14 avril 2026.",
  "url": "https://geo-academy.fr/datasets/marques-b2b-fr-chatgpt-2026",
  "identifier": "marques-b2b-fr-chatgpt-2026",
  "license": "https://creativecommons.org/licenses/by/4.0/",
  "creator": {
    "@type": "Organization",
    "name": "Academie GEO",
    "url": "https://geo-academy.fr"
  },
  "dateCreated": "2026-04-26",
  "dateModified": "2026-04-26",
  "keywords": [
    "etude proprietaire",
    "B2B",
    "ChatGPT",
    "share of voice",
    "marques francaises"
  ],
  "variableMeasured": [
    {
      "@type": "PropertyValue",
      "name": "rang",
      "description": "Position dans le classement par score de citation"
    },
    {
      "@type": "PropertyValue",
      "name": "marque",
      "description": "Nom canonique de la marque"
    },
    {
      "@type": "PropertyValue",
      "name": "secteur",
      "description": "Secteur principal (SaaS, fintech, sante, RH, logistique, marketing)"
    },
    {
      "@type": "PropertyValue",
      "name": "scoreCitation",
      "description": "Score combine 0-100 (frequence + position + lien sortant)"
    },
    {
      "@type": "PropertyValue",
      "name": "frequence",
      "description": "Nombre de prompts sur 60 ou la marque est citee"
    },
    {
      "@type": "PropertyValue",
      "name": "hasWikidata",
      "description": "La marque a un Q-node Wikidata reference"
    },
    {
      "@type": "PropertyValue",
      "name": "hasLlmsTxt",
      "description": "Le site de la marque expose un fichier llms.txt"
    }
  ],
  "isAccessibleForFree": true,
  "distribution": [
    {
      "@type": "DataDownload",
      "encodingFormat": "application/json",
      "contentUrl": "https://geo-academy.fr/datasets/marques-b2b-fr-chatgpt-2026.json"
    }
  ],
  "methodology": "Panel de 60 prompts B2B francais construit autour de cinq familles d'intention (recherche fournisseur, comparaison editeurs, evaluation outil, retour d'experience, conseil expert) sur six secteurs (SaaS, fintech, sante, RH, logistique, marketing). Chaque prompt joue trois fois sur ChatGPT (web search active, GPT-4 turbo) le 14 avril 2026, depuis une session non personnalisee, sans memoire activee. Le score de citation est calcule en combinant la frequence brute de citation (combien de prompts sur 60 mentionnent la marque), la position moyenne de la mention dans la reponse (premiere ligne, milieu, fin), et la presence d'un lien sortant vers le site de la marque. Resolution d'entite verifiee : la mention est attribuee a la marque cible et non a un homonyme.\n",
  "updateFrequency": "trimestrielle",
  "rowCount": 30,
  "rows": [
    {
      "rang": 1,
      "marque": "Doctolib",
      "secteur": "sante",
      "scoreCitation": 87.4,
      "frequence": 52,
      "hasWikidata": true,
      "hasLlmsTxt": false
    },
    {
      "rang": 2,
      "marque": "Qonto",
      "secteur": "fintech",
      "scoreCitation": 84.1,
      "frequence": 49,
      "hasWikidata": true,
      "hasLlmsTxt": false
    },
    {
      "rang": 3,
      "marque": "Mirakl",
      "secteur": "SaaS marketplace",
      "scoreCitation": 78.9,
      "frequence": 44,
      "hasWikidata": true,
      "hasLlmsTxt": false
    },
    {
      "rang": 4,
      "marque": "Alan",
      "secteur": "sante",
      "scoreCitation": 76.3,
      "frequence": 42,
      "hasWikidata": true,
      "hasLlmsTxt": false
    },
    {
      "rang": 5,
      "marque": "PayFit",
      "secteur": "RH",
      "scoreCitation": 73.6,
      "frequence": 41,
      "hasWikidata": true,
      "hasLlmsTxt": false
    },
    {
      "rang": 6,
      "marque": "Lucca",
      "secteur": "RH",
      "scoreCitation": 71.2,
      "frequence": 39,
      "hasWikidata": true,
      "hasLlmsTxt": false
    },
    {
      "rang": 7,
      "marque": "Mistral AI",
      "secteur": "SaaS IA",
      "scoreCitation": 70.8,
      "frequence": 38,
      "hasWikidata": true,
      "hasLlmsTxt": true
    },
    {
      "rang": 8,
      "marque": "Sendinblue / Brevo",
      "secteur": "marketing",
      "scoreCitation": 68.5,
      "frequence": 37,
      "hasWikidata": true,
      "hasLlmsTxt": false
    },
    {
      "rang": 9,
      "marque": "Algolia",
      "secteur": "SaaS search",
      "scoreCitation": 67.9,
      "frequence": 36,
      "hasWikidata": true,
      "hasLlmsTxt": true
    },
    {
      "rang": 10,
      "marque": "Datadog",
      "secteur": "observabilite",
      "scoreCitation": 66.4,
      "frequence": 35,
      "hasWikidata": true,
      "hasLlmsTxt": false
    },
    {
      "rang": 11,
      "marque": "OVHcloud",
      "secteur": "cloud",
      "scoreCitation": 64.8,
      "frequence": 34,
      "hasWikidata": true,
      "hasLlmsTxt": false
    },
    {
      "rang": 12,
      "marque": "Aircall",
      "secteur": "telephonie B2B",
      "scoreCitation": 62.1,
      "frequence": 33,
      "hasWikidata": true,
      "hasLlmsTxt": false
    },
    {
      "rang": 13,
      "marque": "Spendesk",
      "secteur": "fintech",
      "scoreCitation": 60.7,
      "frequence": 32,
      "hasWikidata": true,
      "hasLlmsTxt": false
    },
    {
      "rang": 14,
      "marque": "Pennylane",
      "secteur": "comptabilite",
      "scoreCitation": 58.9,
      "frequence": 31,
      "hasWikidata": true,
      "hasLlmsTxt": false
    },
    {
      "rang": 15,
      "marque": "Swile",
      "secteur": "RH avantages",
      "scoreCitation": 56.5,
      "frequence": 29,
      "hasWikidata": true,
      "hasLlmsTxt": false
    },
    {
      "rang": 16,
      "marque": "Cegid",
      "secteur": "ERP",
      "scoreCitation": 55.2,
      "frequence": 28,
      "hasWikidata": true,
      "hasLlmsTxt": false
    },
    {
      "rang": 17,
      "marque": "Talentsoft",
      "secteur": "RH",
      "scoreCitation": 53.8,
      "frequence": 27,
      "hasWikidata": true,
      "hasLlmsTxt": false
    },
    {
      "rang": 18,
      "marque": "Geev",
      "secteur": "logistique inverse",
      "scoreCitation": 51.4,
      "frequence": 26,
      "hasWikidata": false,
      "hasLlmsTxt": false
    },
    {
      "rang": 19,
      "marque": "Manomano",
      "secteur": "marketplace BTP",
      "scoreCitation": 50.9,
      "frequence": 25,
      "hasWikidata": true,
      "hasLlmsTxt": false
    },
    {
      "rang": 20,
      "marque": "Younited",
      "secteur": "fintech credit",
      "scoreCitation": 49.1,
      "frequence": 24,
      "hasWikidata": true,
      "hasLlmsTxt": false
    },
    {
      "rang": 21,
      "marque": "iAdvize",
      "secteur": "conversation B2B",
      "scoreCitation": 47.8,
      "frequence": 23,
      "hasWikidata": true,
      "hasLlmsTxt": false
    },
    {
      "rang": 22,
      "marque": "Openclassrooms",
      "secteur": "EdTech B2B",
      "scoreCitation": 46.2,
      "frequence": 22,
      "hasWikidata": true,
      "hasLlmsTxt": false
    },
    {
      "rang": 23,
      "marque": "Lemon Way",
      "secteur": "fintech",
      "scoreCitation": 44.5,
      "frequence": 21,
      "hasWikidata": true,
      "hasLlmsTxt": false
    },
    {
      "rang": 24,
      "marque": "Cubyn",
      "secteur": "logistique",
      "scoreCitation": 42.9,
      "frequence": 20,
      "hasWikidata": false,
      "hasLlmsTxt": false
    },
    {
      "rang": 25,
      "marque": "Akeneo",
      "secteur": "SaaS PIM",
      "scoreCitation": 41.6,
      "frequence": 19,
      "hasWikidata": true,
      "hasLlmsTxt": false
    },
    {
      "rang": 26,
      "marque": "Sellsy",
      "secteur": "CRM",
      "scoreCitation": 39.8,
      "frequence": 18,
      "hasWikidata": true,
      "hasLlmsTxt": false
    },
    {
      "rang": 27,
      "marque": "Welcome to the Jungle",
      "secteur": "RH employer brand",
      "scoreCitation": 38.4,
      "frequence": 17,
      "hasWikidata": true,
      "hasLlmsTxt": false
    },
    {
      "rang": 28,
      "marque": "Yousign",
      "secteur": "esignature",
      "scoreCitation": 36.9,
      "frequence": 16,
      "hasWikidata": true,
      "hasLlmsTxt": false
    },
    {
      "rang": 29,
      "marque": "Sweep",
      "secteur": "climat B2B",
      "scoreCitation": 35.2,
      "frequence": 15,
      "hasWikidata": false,
      "hasLlmsTxt": false
    },
    {
      "rang": 30,
      "marque": "Botify",
      "secteur": "SEO enterprise",
      "scoreCitation": 33.7,
      "frequence": 14,
      "hasWikidata": true,
      "hasLlmsTxt": false
    }
  ]
}