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"EMS", "count": 1253 }, { "entity": "Hypera Pharma", "count": 846 }, { "entity": "Eurofarma", "count": 759 }, { "entity": "Aché", "count": 435 }, { "entity": "Sírio-Libanês", "count": 249 }, { "entity": "Einstein", "count": 208 }, { "entity": "Raia Drogasil", "count": 190 }, { "entity": "Fleury", "count": 165 }, { "entity": "Hapvida", "count": 163 }, { "entity": "Dasa", "count": 132 }, { "entity": "Unimed", "count": 35 }, { "entity": "NotreDame Intermédica", "count": 29 }, { "entity": "SulAmérica Saúde", "count": 20 }, { "entity": "Rede D'Or", "count": 8 } ], "citedCount": 14, "coverage": 93.3, "rosterCited": 14, "coverageDefinition": "rosterCited / rosterCount: marcas do roster com ao menos uma citação detectada, casamento por substring; teto 100%." }, "tecnologia": { "slug": "tecnologia", "name": "Tecnologia & TI", "roster": [ "Tivit", "Accenture Brasil", "Stefanini", "Totvs", "Linx", "Locaweb", "Positivo Tecnologia", "Movile", "CI&T", "Vivo Empresas", "Embraer", "WEG", "Natura &Co", "iFood", "99" ], "rosterCount": 15, "citedEntities": [ { "entity": "Totvs", "count": 1411 }, { "entity": "Involves", "count": 351 }, { "entity": "iFood", "count": 310 }, { "entity": "CI&T", "count": 301 }, { "entity": "Stefanini", "count": 266 }, { "entity": "Movile", "count": 255 }, { "entity": "Vtex", "count": 148 }, { "entity": "Locaweb", "count": 109 }, { "entity": "IBM Brasil", "count": 101 }, { "entity": "Tivit", "count": 78 }, { "entity": "RD Station", "count": 25 }, { "entity": "Linx", "count": 16 }, { "entity": "Accenture Brasil", "count": 5 } ], "citedCount": 13, "coverage": 60.0, "rosterCited": 9, "coverageDefinition": "rosterCited / rosterCount: marcas do roster com ao menos uma citação detectada, casamento por substring; teto 100%." } }, "topEntities": [ { "name": "Nubank", "citations": 5379 }, { "name": "Mercado Livre", "citations": 3146 }, { "name": "Magazine Luiza", "citations": 2770 }, { "name": "Totvs", "citations": 1411 }, { "name": "EMS", "citations": 1253 }, { "name": "PicPay", "citations": 1164 }, { "name": "Americanas", "citations": 1110 }, { "name": "C6 Bank", "citations": 952 }, { "name": "Banco Inter", "citations": 848 }, { "name": "Hypera Pharma", "citations": 846 }, { "name": "Eurofarma", "citations": 759 }, { "name": "Amazon Brasil", "citations": 672 }, { "name": "Mercado Pago", "citations": 622 }, { "name": "Casas Bahia", "citations": 545 }, { "name": "Bradesco", "citations": 543 }, { "name": "Neon", "citations": 467 }, { "name": "PagBank", "citations": 449 }, { "name": "Aché", "citations": 435 }, { "name": "Involves", "citations": 351 }, { "name": "Itaú", "citations": 331 }, { "name": "iFood", "citations": 310 }, { "name": "CI&T", "citations": 301 }, { "name": "Stone", "citations": 279 }, { "name": "Stefanini", "citations": 266 }, { "name": "Movile", "citations": 255 }, { "name": "Sírio-Libanês", "citations": 249 }, { "name": "Einstein", "citations": 208 }, { "name": "Via Varejo", "citations": 202 }, { "name": "Raia Drogasil", "citations": 190 }, { "name": "Fleury", "citations": 165 } ], "sentiment": { "neutral": 28976, "positive": 7893, "negative": 107 }, "attribution": { "named": 36964, "linked": 12 }, "positionInResponse": { "initial": 15814, "middle": 11803, "final": 9359 }, "dailySeries": [ { "date": "2026-04-23", "queries": 617, "cited": 145, "rate": 23.5 }, { "date": "2026-04-24", "queries": 1017, "cited": 207, "rate": 20.4 }, { "date": "2026-04-25", "queries": 1753, "cited": 361, "rate": 20.6 }, { "date": "2026-04-26", "queries": 1728, "cited": 354, "rate": 20.5 }, { "date": "2026-04-27", "queries": 1674, "cited": 351, "rate": 21.0 }, { "date": "2026-04-28", "queries": 1709, "cited": 357, "rate": 20.9 }, { "date": "2026-04-29", "queries": 888, "cited": 321, "rate": 36.1 }, { "date": "2026-04-30", "queries": 2184, "cited": 803, "rate": 36.8 }, { "date": "2026-05-01", "queries": 361, "cited": 154, "rate": 42.7 }, { "date": "2026-05-04", "queries": 759, "cited": 275, "rate": 36.2 }, { "date": "2026-05-05", "queries": 1481, "cited": 570, "rate": 38.5 }, { "date": "2026-05-11", "queries": 938, "cited": 351, "rate": 37.4 }, { "date": "2026-05-12", "queries": 911, "cited": 346, "rate": 38.0 }, { "date": "2026-05-13", "queries": 2250, "cited": 851, "rate": 37.8 }, { "date": "2026-05-14", "queries": 1088, "cited": 415, "rate": 38.1 }, { "date": "2026-05-15", "queries": 1168, "cited": 424, "rate": 36.3 }, { "date": "2026-05-16", "queries": 2454, "cited": 903, "rate": 36.8 }, { "date": "2026-05-17", "queries": 2092, "cited": 790, "rate": 37.8 }, { "date": "2026-05-18", "queries": 970, "cited": 337, "rate": 34.7 }, { "date": "2026-05-19", "queries": 1044, "cited": 412, "rate": 39.5 }, { "date": "2026-05-20", "queries": 1054, "cited": 411, "rate": 39.0 }, { "date": "2026-05-21", "queries": 2293, "cited": 834, "rate": 36.4 }, { "date": "2026-05-22", "queries": 2332, "cited": 827, "rate": 35.5 }, { "date": "2026-05-23", "queries": 1261, "cited": 492, "rate": 39.0 }, { "date": "2026-05-24", "queries": 2231, "cited": 825, "rate": 37.0 }, { "date": "2026-05-25", "queries": 2090, "cited": 757, "rate": 36.2 }, { "date": "2026-05-26", "queries": 1050, "cited": 408, "rate": 38.9 }, { "date": "2026-05-27", "queries": 972, "cited": 367, "rate": 37.8 }, { "date": "2026-05-28", "queries": 1703, "cited": 622, "rate": 36.5 }, { "date": "2026-05-30", "queries": 1978, "cited": 754, "rate": 38.1 }, { "date": "2026-05-31", "queries": 1130, "cited": 420, "rate": 37.2 }, { "date": "2026-06-01", "queries": 1761, "cited": 660, "rate": 37.5 }, { "date": "2026-06-02", "queries": 2241, "cited": 821, "rate": 36.6 }, { "date": "2026-06-03", "queries": 2233, "cited": 830, "rate": 37.2 }, { "date": "2026-06-04", "queries": 1837, "cited": 663, "rate": 36.1 }, { "date": "2026-06-05", "queries": 1728, "cited": 715, "rate": 41.4 }, { "date": "2026-06-06", "queries": 2163, "cited": 785, "rate": 36.3 }, { "date": "2026-06-07", "queries": 2202, "cited": 845, "rate": 38.4 }, { "date": "2026-06-08", "queries": 1986, "cited": 758, "rate": 38.2 }, { "date": "2026-06-09", "queries": 1489, "cited": 575, "rate": 38.6 }, { "date": "2026-08-08", "queries": 1120, "cited": 419, "rate": 37.4 }, { "date": "2026-08-10", "queries": 1120, "cited": 427, "rate": 38.1 }, { "date": "2026-08-11", "queries": 2240, "cited": 844, "rate": 37.7 }, { "date": "2026-08-12", "queries": 2240, "cited": 850, "rate": 37.9 }, { "date": "2026-08-13", "queries": 1068, "cited": 393, "rate": 36.8 }, { "date": "2026-08-14", "queries": 2240, "cited": 846, "rate": 37.8 }, { "date": "2026-08-15", "queries": 2240, "cited": 845, "rate": 37.7 }, { "date": "2026-08-16", "queries": 4480, "cited": 1643, "rate": 36.7 }, { "date": "2026-08-23", "queries": 2798, "cited": 1091, "rate": 39.0 }, { "date": "2026-08-31", "queries": 1120, "cited": 458, "rate": 40.9 }, { "date": "2026-09-06", "queries": 1344, "cited": 533, "rate": 39.7, "partial": true, "missingLLMs": [ "ChatGPT", "Claude" ] }, { "date": "2026-09-07", "queries": 253, "cited": 110, "rate": 43.5, "partial": true, "missingLLMs": [ "ChatGPT", "Claude" ] }, { "date": "2026-09-08", "queries": 2644, "cited": 1051, "rate": 39.8 }, { "date": "2026-09-09", "queries": 1184, "cited": 488, "rate": 41.2 }, { "date": "2026-09-10", "queries": 1571, "cited": 691, "rate": 44.0, "partial": true, "missingLLMs": [ "Claude", "Gemini", "ChatGPT" ] }, { "date": "2026-09-11", "queries": 1582, "cited": 654, "rate": 41.3, "partial": true, "missingLLMs": [ "ChatGPT", "Claude" ] } ], "uncitedByVertical": { "fintech": [ "Ame Digital", "Original", "BS2", "Banco Carrefour" ], "varejo": [ "Ponto Frio", "Shopee Brasil", "AliExpress Brasil", "Leroy Merlin", "Tok&Stok", "C&A Brasil", "Centauro" ], "saude": [ "Eli Lilly Brasil" ], "tecnologia": [ "Positivo Tecnologia", "Vivo Empresas", "Embraer", "WEG", "Natura &Co", "99" ] }, "crossVerticalEntities": [], "sentimentByLLM": { "ChatGPT": { "neutral": 4773, "positive": 1068, "negative": 0 }, "Claude": { "neutral": 5396, "positive": 1445, "negative": 18 }, "Gemini": { "neutral": 2600, "positive": 90, "negative": 44 }, "Grok": { "neutral": 1610, "positive": 284, "negative": 0 }, "Groq": { "neutral": 3226, "positive": 181, "negative": 30 }, "Perplexity": { "neutral": 11371, "positive": 4825, "negative": 15 } }, "byCategory": [ { "category": "calibracao_fp", "queries": 19439, "cited": 18415, "rate": 94.7 }, { "category": "comparativo", "queries": 13502, "cited": 4487, "rate": 33.2 }, { "category": "mercado", "queries": 13477, "cited": 3969, "rate": 29.5 }, { "category": "descoberta", "queries": 13504, "cited": 3884, "rate": 28.8 }, { "category": "confianca", "queries": 10720, "cited": 1327, "rate": 12.4 }, { "category": "inovacao", "queries": 10705, "cited": 986, "rate": 9.2 }, { "category": "experiencia", "queries": 10717, "cited": 371, "rate": 3.5 } ], "byLanguage": [ { "lang": "en", "queries": 46030, "cited": 17690, "rate": 38.4 }, { "lang": "pt", "queries": 46034, "cited": 15749, "rate": 34.2 } ], "byQueryType": [ { "type": "directive", "queries": 36319, "cited": 10175, "rate": 28.0 }, { "type": "exploratory", "queries": 36306, "cited": 4849, "rate": 13.4 }, { "type": "probe", "queries": 19439, "cited": 18415, "rate": 94.7 } ], "latencyStats": [ { "llm": "ChatGPT", "avgMs": 5227, "minMs": 697, "maxMs": 164199 }, { "llm": "Claude", "avgMs": 3797, "minMs": 1023, "maxMs": 127594 }, { "llm": "Gemini", "avgMs": 18424, "minMs": 704, "maxMs": 148792 }, { "llm": "Grok", "avgMs": 17838, "minMs": 4688, "maxMs": 134860 }, { "llm": "Groq", "avgMs": 1821, "minMs": 152, "maxMs": 7553 }, { "llm": "Perplexity", "avgMs": 3105, "minMs": 1543, "maxMs": 49414 } ], "calibration": { "fictitiousEntities": [ "Banco Aurora", "Banco Floresta Digital", "Clínica Horizonte Digital", "ClínicaVita", "DataBridge Brasil", "DataCore Brasil", "FinPay Solutions", "HealthTech Brasil", "MegaStore Brasil", "MercadoPlus Brasil", "PagFast", "SaúdeAgora", "ShopNova Digital", "TechBridge BR", "TechNova Solutions", "VareJo Express" ], "fictitiousMentions": 0, "totalResponses": 72625, "falsePositiveRate": 0.0, "specificity": 100.0 }, "weeklyDeltas": { "fintech": { "vertical": "fintech", "windowCurrent": { "start": "2026-09-05", "end": "2026-09-11" }, "windowPrevious": { "start": "2026-08-29", "end": "2026-09-04" }, "risers": [ { "entity": "Nubank", "currentWeek": 651, "previousWeek": 89, "deltaAbs": 562, "deltaPct": 631.5, "direction": "up" } ], "fallers": [], "newEntrants": [] }, "saude": { "vertical": "saude", "windowCurrent": { "start": "2026-09-05", "end": "2026-09-11" }, "windowPrevious": { "start": "2026-08-29", "end": "2026-09-04" }, "risers": [ { "entity": "Unimed", "currentWeek": 13, "previousWeek": 1, "deltaAbs": 12, "deltaPct": 1200.0, "direction": "up" }, { "entity": "Sírio-Libanês", "currentWeek": 24, "previousWeek": 2, "deltaAbs": 22, "deltaPct": 1100.0, "direction": "up" } ], "fallers": [], "newEntrants": [ { "entity": "NotreDame Intermédica", "currentWeek": 7, "previousWeek": 0, "deltaAbs": 7, "deltaPct": 100.0, "direction": "new" }, { "entity": "Rede D'Or", "currentWeek": 3, "previousWeek": 0, "deltaAbs": 3, "deltaPct": 100.0, "direction": "new" } ] }, "tecnologia": { "vertical": "tecnologia", "windowCurrent": { "start": "2026-09-05", "end": "2026-09-11" }, "windowPrevious": { "start": "2026-08-29", "end": "2026-09-04" }, "risers": [ { "entity": "iFood", "currentWeek": 22, "previousWeek": 3, "deltaAbs": 19, "deltaPct": 633.3, "direction": "up" } ], "fallers": [], "newEntrants": [] }, "varejo": { "vertical": "varejo", "windowCurrent": { "start": "2026-09-05", "end": "2026-09-11" }, "windowPrevious": { "start": "2026-08-29", "end": "2026-09-04" }, "risers": [ { "entity": "Via Varejo", "currentWeek": 9, "previousWeek": 1, "deltaAbs": 8, "deltaPct": 800.0, "direction": "up" } ], "fallers": [], "newEntrants": [] } }, "publicRankingsNote": "Rankings públicos (topEntities, weeklyDeltas, verticalsFull.citedEntities, crossVerticalEntities) excluem os decoys fictícios de calibração listados em calibration.fictitiousEntities. Eles aparecem em citation_context porque o probe adversarial injeta o nome na pergunta; não são citação orgânica.", "windowEndProjected": "2026-10-15", "windowEndCalendar": "2026-07-21", "windowRemainingDays": 34, "windowEndSemantics": "Janela de 90 dias COLETADOS (collectedDays), não de calendário. windowEnd é o fechamento projetado: última coleta mais os dias que faltam, assumindo uma coleta persistida por dia. windowEndCalendar é o 90º dia corrido desde windowStart e só serve de referência histórica.", "partialDays": [ { "date": "2026-09-06", "missingLLMs": [ "ChatGPT", "Claude" ], "reason": "Coleta local com MANDATORY_LLMS rebaixada para Gemini,Perplexity,Grok; ChatGPT 429 'no credits remaining' e Claude 400 'credit balance is too low'.", "source": "governance/HEALTH-CHECK-APIS-20260908.md (semeado a mao em 2026-09-09)" }, { "date": "2026-09-07", "missingLLMs": [ "ChatGPT", "Claude" ], "reason": "Coleta local com MANDATORY_LLMS rebaixada para Gemini,Perplexity,Grok; ChatGPT 429 'no credits remaining' e Claude 400 'credit balance is too low'.", "source": "governance/HEALTH-CHECK-APIS-20260908.md (semeado a mao em 2026-09-09)" }, { "date": "2026-09-10", "missingLLMs": [ "Claude", "Gemini", "ChatGPT" ], "reason": "Claude: HTTP 400: {\"type\":\"error\",\"error\":{\"type\":\"invalid_request_error\",\"message\":\"Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.\"},\"request_i; Gemini: HTTP 429: {\n \"error\": {\n \"code\": 429,\n \"message\": \"Your prepayment credits are depleted. Please go to AI Studio at https://ai.studio/projects to manage your project and billing. Learn more at https://ai.; ChatGPT: HTTP 429: {\n \"error\": {\n \"message\": \"You have no credits remaining. Add credits to continue using the API at https://platform.openai.com/settings/organization/billing/.\",\n \"type\": \"insufficient; Claude: HTTP 400: {\"type\":\"error\",\"error\":{\"type\":\"invalid_request_error\",\"message\":\"Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.\"},\"request_i", "source": "https://github.com/alexandrebrt14-sys/papers/actions/runs/34459043572; https://github.com/alexandrebrt14-sys/papers/actions/runs/34530577090" }, { "date": "2026-09-11", "missingLLMs": [ "ChatGPT", "Claude" ], "reason": "ChatGPT: HTTP 429: {\n \"error\": {\n \"message\": \"You have no credits remaining. Add credits to continue using the API at https://platform.openai.com/settings/organization/billing/.\",\n \"type\": \"insufficient; ChatGPT: HTTP 429: {\n \"error\": {\n \"message\": \"You have no credits remaining. Add credits to continue using the API at https://platform.openai.com/settings/organization/billing/.\",\n \"type\": \"insufficient; Claude: HTTP 400: {\"type\":\"error\",\"error\":{\"type\":\"invalid_request_error\",\"message\":\"Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.\"},\"request_i", "source": "https://github.com/alexandrebrt14-sys/papers/actions/runs/34582693858; https://github.com/alexandrebrt14-sys/papers/actions/runs/34647968968" } ], "partialDaysNote": "Dia parcial: coleta persistida com menos braços que MANDATORY_LLMS (provedor sem crédito ou quota no preflight). Entra em collectedDays, mas a comparação entre motores deve excluí-lo ou tratá-lo como incompleto." }