Verificador de visibilidad de la marca - Proyecto de demostración del laboratorio de IA

Avanzado

Este es unMarket Research, AI Summarizationflujo de automatización del dominio deautomatización que contiene 48 nodos.Utiliza principalmente nodos como If, Set, Limit, Perplexity, HttpRequest. Visibilidad de marca y análisis de sentimiento en herramientas de búsqueda de IA (OpenAI, Perplexity, ChatGPT)

Requisitos previos
  • Pueden requerirse credenciales de autenticación para la API de destino
  • Credenciales de API de Google Sheets
  • Clave de API de OpenAI
Vista previa del flujo de trabajo
Visualización de las conexiones entre nodos, con soporte para zoom y panorámica
Exportar flujo de trabajo
Copie la siguiente configuración JSON en n8n para importar y usar este flujo de trabajo
{
  "id": "eoiCUdr68Q41iEua",
  "meta": {
    "instanceId": "88b34e051213082619adc89dcb3c4c6a3611f57a17080c0af86efd3b8840b94f",
    "templateCredsSetupCompleted": true
  },
  "name": "LLMO Brand Visibility Check - AI Lab (28.08) Demo Project",
  "tags": [],
  "nodes": [
    {
      "id": "6023f97b-3528-4390-8e58-1c506dedc75d",
      "name": "Activador Manual",
      "type": "n8n-nodes-base.manualTrigger",
      "position": [
        -2240,
        256
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "fc60def4-55f5-4838-bae8-ef18ab63730e",
      "name": "Análisis de Sentimiento de Respuesta1",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
        -528,
        -704
      ],
      "parameters": {
        "text": "=You task is to analyse the sentiment of a text message. Your input is the result of an Perplexity AI API Call in the JSON format. \nTake this message and evaluate its content: \"{{ $json.Message }} \"\n\nYour output is a JSON with three classifications:\n1. the Basic Polarity (KEY), with values from Positive, Neutral to Negative \n2. Emotion Category (Key) with values from Joy, Sadness,Anger,Fear, Disgust, Surprise.\n3. Third, Brand Hierachy (key), you evaluate the hierachy of brands mentioned in the LLM Response.\n\nExample Output for Brand Hierarchy: Nike>Adidas>Puma",
        "options": {},
        "promptType": "define",
        "hasOutputParser": true
      },
      "typeVersion": 2.2
    },
    {
      "id": "0baea2a7-b19a-4aa7-b121-f1455215102b",
      "name": "Actualizar Hoja/Excel",
      "type": "n8n-nodes-base.googleSheets",
      "position": [
        224,
        -704
      ],
      "parameters": {
        "columns": {
          "value": {
            "Response": "={{ $json.Message }}"
          },
          "schema": [
            {
              "id": "Prompt",
              "type": "string",
              "display": true,
              "removed": false,
              "required": false,
              "displayName": "Prompt",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "Brand Mentioning",
              "type": "string",
              "display": true,
              "removed": false,
              "required": false,
              "displayName": "Brand Mentioning",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "Response",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "Response",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "Emotion Category",
              "type": "string",
              "display": true,
              "removed": false,
              "required": false,
              "displayName": "Emotion Category",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "Basic Polarity",
              "type": "string",
              "display": true,
              "removed": false,
              "required": false,
              "displayName": "Basic Polarity",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "Quelle1",
              "type": "string",
              "display": true,
              "removed": false,
              "required": false,
              "displayName": "Quelle1",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "Quelle2",
              "type": "string",
              "display": true,
              "removed": false,
              "required": false,
              "displayName": "Quelle2",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "Quelle3",
              "type": "string",
              "display": true,
              "removed": false,
              "required": false,
              "displayName": "Quelle3",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "Quelle4",
              "type": "string",
              "display": true,
              "removed": false,
              "required": false,
              "displayName": "Quelle4",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "Quelle5",
              "type": "string",
              "display": true,
              "removed": false,
              "required": false,
              "displayName": "Quelle5",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "Message",
              "type": "string",
              "display": true,
              "removed": false,
              "required": false,
              "displayName": "Message",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "Tool",
              "type": "string",
              "display": true,
              "removed": false,
              "required": false,
              "displayName": "Tool",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "Anfrage",
              "type": "string",
              "display": true,
              "removed": false,
              "required": false,
              "displayName": "Anfrage",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            }
          ],
          "mappingMode": "autoMapInputData",
          "matchingColumns": [],
          "attemptToConvertTypes": false,
          "convertFieldsToString": false
        },
        "options": {},
        "operation": "append",
        "sheetName": {
          "__rl": true,
          "mode": "list",
          "value": 568802405,
          "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1ObN4sF1fBBXsrg6aBayZdPXETRFNlAtp5H92mEiH33o/edit#gid=568802405",
          "cachedResultName": "Output"
        },
        "documentId": {
          "__rl": true,
          "mode": "list",
          "value": "1ObN4sF1fBBXsrg6aBayZdPXETRFNlAtp5H92mEiH33o",
          "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1ObN4sF1fBBXsrg6aBayZdPXETRFNlAtp5H92mEiH33o/edit?usp=drivesdk",
          "cachedResultName": "AI Lab Prompts"
        }
      },
      "credentials": {
        "googleSheetsOAuth2Api": {
          "id": "qdhEdg8zimJRSIxl",
          "name": "Google Sheets account (aoetesting gmail)"
        }
      },
      "typeVersion": 4.6
    },
    {
      "id": "0dccf99d-c7ca-4a54-9f81-094b0cf61b15",
      "name": "Nota Adhesiva4",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -1152,
        -800
      ],
      "parameters": {
        "width": 464,
        "height": 416,
        "content": "## LLMO GEO Visibility Research"
      },
      "typeVersion": 1
    },
    {
      "id": "033a6e5a-4614-41b2-9055-91690ca20975",
      "name": "Nota Adhesiva5",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -656,
        -800
      ],
      "parameters": {
        "width": 528,
        "height": 416,
        "content": "## Sentiment analysis und brand evaluation"
      },
      "typeVersion": 1
    },
    {
      "id": "0bf0f1c1-7faf-48a0-972a-7d38b1fa5c07",
      "name": "Nota Adhesiva6",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -80,
        -800
      ],
      "parameters": {
        "width": 496,
        "height": 416,
        "content": "## Reporting"
      },
      "typeVersion": 1
    },
    {
      "id": "7529683e-cc21-4351-b603-96c1ab5196a0",
      "name": "Nota Adhesiva7",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -1472,
        -800
      ],
      "parameters": {
        "width": 288,
        "height": 416,
        "content": "## Data source"
      },
      "typeVersion": 1
    },
    {
      "id": "67a8ef42-42da-4729-8818-6782625e46b2",
      "name": "Nota Adhesiva8",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -1936,
        -864
      ],
      "parameters": {
        "color": 7,
        "width": 2672,
        "height": 656,
        "content": "## Simplified Flow"
      },
      "typeVersion": 1
    },
    {
      "id": "0ce10377-ac99-4f8e-97de-407716b12053",
      "name": "Prompts de LLM",
      "type": "n8n-nodes-base.set",
      "position": [
        -1376,
        -704
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "306f8ce3-e140-4d8b-a8b4-a57c5c131066",
              "name": "Prompt",
              "type": "string",
              "value": "Are Asics running shoes any good"
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "d76ce3fd-91cd-4c1c-9a4d-579b42b08123",
      "name": "Modelo de Chat",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        -528,
        -512
      ],
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "gpt-4.1-mini",
          "cachedResultName": "gpt-4.1-mini"
        },
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "M0gBX6dGinkN0Qym",
          "name": "OpenAi account (n8n project)"
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "13244b6e-40b4-494c-b5b2-2c6693e3807f",
      "name": "Analizador de Salida",
      "type": "@n8n/n8n-nodes-langchain.outputParserStructured",
      "position": [
        -384,
        -512
      ],
      "parameters": {
        "jsonSchemaExample": "{\n  \n    \"Basic Polarity\": \"Negative\",\n    \"Emotion Category\": \"Anger\",\n    \"Brand Hierachy\": \"Nike>Adidas>Puma\"\n}"
      },
      "typeVersion": 1.3
    },
    {
      "id": "f4455754-0af0-4ede-a0ab-eb6a77d1b6d5",
      "name": "Agregar fila en hoja",
      "type": "n8n-nodes-base.googleSheets",
      "position": [
        928,
        304
      ],
      "parameters": {
        "columns": {
          "value": {},
          "schema": [
            {
              "id": "Prompt",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "Prompt",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "LLM",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "LLM",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "Response",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "Response",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "Brand mentioned",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "Brand mentioned",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "Brand Hierarchy",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "Brand Hierarchy",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "Basic Polarity",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "Basic Polarity",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "Emotion Category",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "Emotion Category",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "Source 1",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "Source 1",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "Source 2",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "Source 2",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "Source 3",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "Source 3",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            }
          ],
          "mappingMode": "autoMapInputData",
          "matchingColumns": [],
          "attemptToConvertTypes": false,
          "convertFieldsToString": false
        },
        "options": {},
        "operation": "append",
        "sheetName": {
          "__rl": true,
          "mode": "list",
          "value": 1051572958,
          "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1ObN4sF1fBBXsrg6aBayZdPXETRFNlAtp5H92mEiH33o/edit#gid=1051572958",
          "cachedResultName": "Output many models"
        },
        "documentId": {
          "__rl": true,
          "mode": "list",
          "value": "1ObN4sF1fBBXsrg6aBayZdPXETRFNlAtp5H92mEiH33o",
          "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1ObN4sF1fBBXsrg6aBayZdPXETRFNlAtp5H92mEiH33o/edit?usp=drivesdk",
          "cachedResultName": "AI Lab Prompts"
        }
      },
      "credentials": {
        "googleSheetsOAuth2Api": {
          "id": "qdhEdg8zimJRSIxl",
          "name": "Google Sheets account (aoetesting gmail)"
        }
      },
      "typeVersion": 4.7
    },
    {
      "id": "fb6acc43-81a2-4b6f-85d9-74715960213d",
      "name": "Modelo de Chat OpenAI1",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        336,
        528
      ],
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "gpt-4.1-mini"
        },
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "M0gBX6dGinkN0Qym",
          "name": "OpenAi account (n8n project)"
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "f6d1180b-8dbc-4ae2-ad7d-02e3a17dbb7f",
      "name": "Análisis de Sentimiento de Respuesta3",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
        320,
        320
      ],
      "parameters": {
        "text": "=Take this message and evaluate its content: \"{{ $json.Response }}\"\n",
        "options": {
          "systemMessage": "You task is to analyse the sentiment of a text message. Your input is the result of an Perplexity AI API Call in JSON format. \n\n--\n\n\nYour output is a JSON with three classifications:\n1. the Basic Polarity (KEY), with values from Positive, Neutral to Negative \n2. Emotion Category (Key) with values from Joy, Sadness,Anger,Fear, Disgust, Surprise.\n3. Third, Brand Hierachy (key), you evaluate the hierachy of brands mentioned in the LLM Response.\n\nExample Output for Brand Hierarchy: Nike>Adidas>Puma"
        },
        "promptType": "define",
        "hasOutputParser": true
      },
      "typeVersion": 2.2
    },
    {
      "id": "c8786ef3-5147-4f02-9d71-bbee87d3a19d",
      "name": "Analizador de Salida Estructurada3",
      "type": "@n8n/n8n-nodes-langchain.outputParserStructured",
      "position": [
        480,
        528
      ],
      "parameters": {
        "jsonSchemaExample": "{\n    \"Basic Polarity\": \"Negative\",\n    \"Emotion Category\": \"Anger\",\n    \"Brand Hierachy\": \"Nike>Adidas>Puma\"\n}"
      },
      "typeVersion": 1.3
    },
    {
      "id": "e3398784-fe71-4d86-bfcd-96ec8ae6e816",
      "name": "Nota Adhesiva10",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -2416,
        -208
      ],
      "parameters": {
        "color": 7,
        "width": 4000,
        "height": 1360,
        "content": "## multi-model prompting"
      },
      "typeVersion": 1
    },
    {
      "id": "89625abb-4027-42ea-83d0-b180b42bcd24",
      "name": "Nota Adhesiva11",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -1168,
        -48
      ],
      "parameters": {
        "color": 2,
        "width": 1008,
        "height": 80,
        "content": "## LLMO GEO Brand Visibility Research"
      },
      "typeVersion": 1
    },
    {
      "id": "dfdf11bb-f6f3-4af9-93dd-8ccb540ea09b",
      "name": "Nota Adhesiva12",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -112,
        48
      ],
      "parameters": {
        "width": 704,
        "height": 640,
        "content": "## Sentiment Analysis and Brandevaluation"
      },
      "typeVersion": 1
    },
    {
      "id": "8125153b-44e3-4caf-b48e-966abc5f88a3",
      "name": "Nota Adhesiva13",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -3360,
        -1280
      ],
      "parameters": {
        "color": 4,
        "width": 896,
        "height": 384,
        "content": "# Use Case Explanation\n\nUsers are continuously more and more using AI tools like ChatGPT, Perplexity etc to find what they need. Therefore, it's more and more important for brands and organization to be visible when users ask relevant questions. \n\nThe first step to optimize for visibility in these AI tools is to know where your brand stand. \n\nThis workflow helps in automating the analysis of the current visibility in tools like:\n- native open AI knowledge\n- Perplexity\n- chatGPT\n\nIt can be extended for more tools. See this workflow as a kickstart. There's much more you can do. The benefit of using a workflow for these analysis is that you can add your specific evaluations and your specific reasonings, even such as potential optimizations to increase visibility.\n\nInterested in professional AI automation - feel free to [check our services](https://www.aoe.com/de/services/automation-ai/n8n)"
      },
      "typeVersion": 1
    },
    {
      "id": "46cf70fd-a8f5-4310-b226-8f0bbca0519a",
      "name": "Modelo de Chat OpenAI (GPT 5)",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        -704,
        256
      ],
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "gpt-5",
          "cachedResultName": "gpt-5"
        },
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "M0gBX6dGinkN0Qym",
          "name": "OpenAi account (n8n project)"
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "7260d41f-2349-45ab-bcec-6c8d73fab4e5",
      "name": "Solicitud OpenAI",
      "type": "@n8n/n8n-nodes-langchain.chainLlm",
      "position": [
        -704,
        112
      ],
      "parameters": {
        "text": "={{ $json.Prompt }}",
        "batching": {},
        "promptType": "define"
      },
      "typeVersion": 1.7
    },
    {
      "id": "f83b4579-7eee-437c-bdc7-34273e19925b",
      "name": "OpenAI",
      "type": "n8n-nodes-base.set",
      "position": [
        -352,
        96
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "51253e72-9fc7-45de-bdfb-52087d1e6fc2",
              "name": "Response",
              "type": "string",
              "value": "={{ $json.text }}"
            },
            {
              "id": "1f6d60ae-2599-4371-baf9-d833bf03ad98",
              "name": "LLM",
              "type": "string",
              "value": "OpenAI"
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "81b6c166-e656-45e1-a630-d899fe850841",
      "name": "Nota Adhesiva14",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -1168,
        48
      ],
      "parameters": {
        "width": 1008,
        "height": 288,
        "content": "## OpenAI (API / LLM Knowledge)"
      },
      "typeVersion": 1
    },
    {
      "id": "a5778474-4314-4347-abd3-f13e095d4b39",
      "name": "Nota Adhesiva15",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -1968,
        -48
      ],
      "parameters": {
        "width": 752,
        "height": 624,
        "content": "## Input\n(Replace to your need)"
      },
      "typeVersion": 1
    },
    {
      "id": "7f4cb9f8-941f-42bd-aba5-833b15dee6d8",
      "name": "Nota Adhesiva16",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -112,
        -48
      ],
      "parameters": {
        "color": 2,
        "width": 704,
        "height": 80,
        "content": "## Result Evaluation"
      },
      "typeVersion": 1
    },
    {
      "id": "8f53dcf4-7957-478a-9f67-bf8b8b701775",
      "name": "Nota Adhesiva17",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        624,
        -48
      ],
      "parameters": {
        "color": 2,
        "width": 576,
        "height": 80,
        "content": "## Store Result"
      },
      "typeVersion": 1
    },
    {
      "id": "b997e680-41f9-4163-b6e3-47bb734b06b8",
      "name": "Nota Adhesiva18",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -1168,
        384
      ],
      "parameters": {
        "width": 1008,
        "height": 256,
        "content": "## Perplexity"
      },
      "typeVersion": 1
    },
    {
      "id": "44c0457c-ce38-4285-be10-13be5af2046e",
      "name": "Nota Adhesiva19",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -1168,
        672
      ],
      "parameters": {
        "width": 1008,
        "height": 272,
        "content": "## ChatGPT\n\n"
      },
      "typeVersion": 1
    },
    {
      "id": "1fc655af-c428-4bad-8df3-7dbb193d8005",
      "name": "Llamada APIfy a Raspador ChatGPT",
      "type": "n8n-nodes-base.httpRequest",
      "onError": "continueRegularOutput",
      "position": [
        -864,
        736
      ],
      "parameters": {
        "url": "https://api.apify.com/v2/acts/automation_nerd~chatgpt-prompt-actor/run-sync-get-dataset-items",
        "method": "POST",
        "options": {},
        "jsonBody": "={\n    \"prompts\": [{{ JSON.stringify($json[\"Prompt\"]) }}],\n    \"proxyCountry\": \"DE\"\n}",
        "sendBody": true,
        "specifyBody": "json",
        "authentication": "genericCredentialType",
        "genericAuthType": "httpQueryAuth"
      },
      "credentials": {
        "httpQueryAuth": {
          "id": "0jsRZDiuGwwQPHPB",
          "name": "APIFy Token (Test account)"
        }
      },
      "retryOnFail": false,
      "typeVersion": 4.2,
      "alwaysOutputData": false
    },
    {
      "id": "0c0d89a3-8c5a-4d18-82af-2c0cf3129e85",
      "name": "Nota Adhesiva20",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -1168,
        992
      ],
      "parameters": {
        "color": 3,
        "width": 464,
        "height": 256,
        "content": "Use this node with care - only for testing and to your own risk. \nIt's using an APIfy actor that tries to prompt ChatGPT through the web interface.\n\nOpen AI might restrict access and you might violate usage conditions. \nSo use at your own risk and check the APIfy documentations for more details on how to use this.\n"
      },
      "typeVersion": 1
    },
    {
      "id": "a66095ef-09fd-4d7e-a33c-ea7ac731fc4a",
      "name": "Mapeo Final",
      "type": "n8n-nodes-base.set",
      "position": [
        16,
        -704
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "81d3aa0e-4db1-4a08-9d17-a2e88708a262",
              "name": "source #1",
              "type": "string",
              "value": "={{ $('Map LLM Output').item.json.Citation1 }}"
            },
            {
              "id": "ec22de77-1bb3-4acd-889a-23866068014f",
              "name": "source #2",
              "type": "string",
              "value": "={{ $('Map LLM Output').item.json.Citation2 }}"
            },
            {
              "id": "d8ada9a6-8be5-4042-928b-f88364fe6c20",
              "name": "source #3",
              "type": "string",
              "value": "={{ $('Map LLM Output').item.json.Citation3 }}"
            },
            {
              "id": "30a63ecd-ab3d-4de5-9a9e-0010f40beb4d",
              "name": "source #4",
              "type": "string",
              "value": "={{ $('Map LLM Output').item.json.Citation4 }}"
            },
            {
              "id": "e87fcbbd-a77d-408b-a27d-ecec890d0cc1",
              "name": "source #5",
              "type": "string",
              "value": "={{ $('Map LLM Output').item.json.Citation5 }}"
            },
            {
              "id": "0972cb5b-a561-44a3-8872-477a54c4d64e",
              "name": "Message",
              "type": "string",
              "value": "={{ $('Map LLM Output').item.json.Message }}"
            },
            {
              "id": "ac0895c7-df51-46a4-b6bd-6a736ecd4eea",
              "name": "Emotion Category",
              "type": "string",
              "value": "={{ $json.output['Emotion Category'] }}"
            },
            {
              "id": "dd9c8884-b58d-4d01-b5c1-a1d1b9b38ac4",
              "name": "Basic Polarity",
              "type": "string",
              "value": "={{ $json.output['Basic Polarity'] }}"
            },
            {
              "id": "e47cbb34-9bfe-4a5f-8ade-80754a9e9d1a",
              "name": "Brand Hierachy",
              "type": "string",
              "value": "={{ $json.output[\"Brand Hierachy\"] }}"
            },
            {
              "id": "11e7f8c8-e965-4cbb-8d48-ec59b95eb7b6",
              "name": "Prompt",
              "type": "string",
              "value": "={{ $('LLM-Prompts').item.json.Prompt }}"
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "ec91e5db-13ab-4c68-91d3-c15fbd391c57",
      "name": "Solicitud Perplexity",
      "type": "n8n-nodes-base.perplexity",
      "position": [
        -656,
        464
      ],
      "parameters": {
        "model": "sonar",
        "options": {},
        "messages": {
          "message": [
            {
              "content": "={{ $json.Prompt }}"
            }
          ]
        },
        "requestOptions": {}
      },
      "credentials": {
        "perplexityApi": {
          "id": "hGRSmzGiDNMOmljL",
          "name": "LLM-SEO PoC Key"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "8912b8d9-266c-4b9f-9e4e-d12dd5c7a97d",
      "name": "Solicitud Perplexity1",
      "type": "n8n-nodes-base.perplexity",
      "position": [
        -1072,
        -704
      ],
      "parameters": {
        "model": "sonar",
        "options": {},
        "messages": {
          "message": [
            {
              "content": "={{ $json.Prompt }}"
            }
          ]
        },
        "requestOptions": {}
      },
      "credentials": {
        "perplexityApi": {
          "id": "hGRSmzGiDNMOmljL",
          "name": "LLM-SEO PoC Key"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "410190c4-513c-4524-b8ca-1383bd00f8fe",
      "name": "Mapear Salida LLM",
      "type": "n8n-nodes-base.set",
      "position": [
        -864,
        -704
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "81d3aa0e-4db1-4a08-9d17-a2e88708a262",
              "name": "Citation1",
              "type": "string",
              "value": "={{ $json.citations[0] }}"
            },
            {
              "id": "ec22de77-1bb3-4acd-889a-23866068014f",
              "name": "Citation2",
              "type": "string",
              "value": "={{ $json.citations[1] }}"
            },
            {
              "id": "d8ada9a6-8be5-4042-928b-f88364fe6c20",
              "name": "Citation3",
              "type": "string",
              "value": "={{ $json.citations[2] }}"
            },
            {
              "id": "30a63ecd-ab3d-4de5-9a9e-0010f40beb4d",
              "name": "Citation4",
              "type": "string",
              "value": "={{ $json.citations[3] }}"
            },
            {
              "id": "e87fcbbd-a77d-408b-a27d-ecec890d0cc1",
              "name": "Citation5",
              "type": "string",
              "value": "={{ $json.citations[4] }}"
            },
            {
              "id": "0972cb5b-a561-44a3-8872-477a54c4d64e",
              "name": "Message",
              "type": "string",
              "value": "={{ $json.choices[0].message.content }}"
            },
            {
              "id": "d06c8225-5bfe-41a8-8d56-06201c5de6c7",
              "name": "Prompt",
              "type": "string",
              "value": "={{ $('LLM-Prompts').item.json.Prompt }}"
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "b1b67d26-323f-43d6-af99-6a751e7dc75e",
      "name": "Nota Adhesiva21",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -3328,
        -848
      ],
      "parameters": {
        "color": 4,
        "width": 896,
        "height": 384,
        "content": "# Using the simple Perplexity Flow\n\nThe simple flow calls the Perplexity API with the hardcoded Prompt in the first node. \n\nTo use it, just connect your openAI credentials and create a Google Sheet in your Google account with the proper fields to collect the result. \n\nThis simple flow acts as a demo. Use it to extend with your logic.\n"
      },
      "typeVersion": 1
    },
    {
      "id": "a3fac816-4abc-4869-9ab1-19ffa4f5a53a",
      "name": "Nota Adhesiva22",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -3360,
        -144
      ],
      "parameters": {
        "color": 4,
        "width": 896,
        "height": 480,
        "content": "# Using the multi model flow\n\nThis flow uses a Google Sheet to get the input prompts and then executes that prompts towards three different AI tools:\n\n1) just the openAI API to check the basic knowledge.\n2) Perplexity \n3) Uses APIfy to call a chatGPT scraping actor (use at own risk)\n\n--\n## To use the flow:\n\n- Connect your google sheet and prepare two sheets: \n    - one with the input prompts (containing just one Column \"Prompt\")\n    - and one for the output w\n\n\n- Create apify credential: \"Generic Credential Type\" > \"Query Auth\". Use Name \"token\" and paste the \nt te Column \"Prompt\tLLM\tResponse\tBrand mentioned\tBrand Hierarchy\tBasic Polarity\tEmotion Category\tSource 1\tSource 2\tSource 3\tSource4\""
      },
      "typeVersion": 1
    },
    {
      "id": "84a55a32-071a-43c6-a8c8-6e50dc31c705",
      "name": "Leer Prompts1",
      "type": "n8n-nodes-base.googleSheets",
      "position": [
        -1936,
        240
      ],
      "parameters": {
        "range": "A1:A100",
        "options": {},
        "sheetId": "1ObN4sF1fBBXsrg6aBayZdPXETRFNlAtp5H92mEiH33o"
      },
      "credentials": {
        "googleSheetsOAuth2Api": {
          "id": "qdhEdg8zimJRSIxl",
          "name": "Google Sheets account (aoetesting gmail)"
        }
      },
      "typeVersion": 2
    },
    {
      "id": "d22d72c3-9a88-4fa9-8e13-4f6c84100ae6",
      "name": "Bucle sobre Prompts",
      "type": "n8n-nodes-base.splitInBatches",
      "position": [
        -1456,
        240
      ],
      "parameters": {
        "options": {}
      },
      "typeVersion": 3
    },
    {
      "id": "67f32fd1-5f4a-40d9-825c-a90157dae006",
      "name": "Entrada Antes del Bucle",
      "type": "n8n-nodes-base.noOp",
      "position": [
        -1616,
        240
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "f92edafd-a458-42f5-acfc-c2a0e9eae6af",
      "name": "Entrada Manual",
      "type": "n8n-nodes-base.set",
      "position": [
        -1904,
        448
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "05e2a95b-2e64-43c1-873d-744a9fd4b656",
              "name": "Prompt",
              "type": "string",
              "value": "Was sind die besten Laufschuhe?"
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "53519447-0bb2-4975-8c91-2b3b729f837c",
      "name": "Límite para Pruebas",
      "type": "n8n-nodes-base.limit",
      "position": [
        -1792,
        240
      ],
      "parameters": {
        "maxItems": 2
      },
      "typeVersion": 1
    },
    {
      "id": "438305e4-b1e0-4ce9-b54e-86c93ea850b7",
      "name": "Mapeador Perplexity",
      "type": "n8n-nodes-base.set",
      "position": [
        -336,
        480
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "44594b4e-0665-4a34-b7af-9eb8993dca3e",
              "name": "Response",
              "type": "string",
              "value": "={{ $json.choices[0].message.content }}"
            },
            {
              "id": "1add090f-9bc2-44ba-b996-7946ffb0fc17",
              "name": "LLM",
              "type": "string",
              "value": "Perplexity"
            },
            {
              "id": "bb33a029-c428-490d-a51b-0e11556a04bf",
              "name": "Source1",
              "type": "string",
              "value": "={{ $json.citations[0]}}"
            },
            {
              "id": "71b8cc6a-f6a7-484e-ab76-8b20a15217d6",
              "name": "Source2",
              "type": "string",
              "value": "={{ $json.citations[1]}}"
            },
            {
              "id": "512b2a94-91c7-4046-be6f-ffee545a8502",
              "name": "Source3",
              "type": "string",
              "value": "={{ $json.citations[3]}}"
            },
            {
              "id": "13e874d5-bbb1-4624-809b-2631f2e915ad",
              "name": "Source4",
              "type": "string",
              "value": "={{ $json.citations[3]}}"
            },
            {
              "id": "85f0a9a3-22ac-482d-9ba6-31cf18a33af9",
              "name": "Source5",
              "type": "string",
              "value": "={{ $json.citations[4]}}"
            },
            {
              "id": "0d7bfe8c-a9de-442d-a186-1d10bdf31985",
              "name": "Source6",
              "type": "string",
              "value": "={{ $json.citations[5]}}"
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "4086a4bc-527c-41ad-8f46-7e9ab78f30f5",
      "name": "Mapeador ChatGPT",
      "type": "n8n-nodes-base.set",
      "position": [
        -320,
        688
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "44594b4e-0665-4a34-b7af-9eb8993dca3e",
              "name": "Response",
              "type": "string",
              "value": "={{ $json.response }}"
            },
            {
              "id": "1add090f-9bc2-44ba-b996-7946ffb0fc17",
              "name": "LLM",
              "type": "string",
              "value": "ChatGPT"
            },
            {
              "id": "bb33a029-c428-490d-a51b-0e11556a04bf",
              "name": "Source1",
              "type": "string",
              "value": "={{ $json.citations[0].url}}"
            },
            {
              "id": "71b8cc6a-f6a7-484e-ab76-8b20a15217d6",
              "name": "Source2",
              "type": "string",
              "value": "={{ $json.citations[1].url}}"
            },
            {
              "id": "512b2a94-91c7-4046-be6f-ffee545a8502",
              "name": "Source3",
              "type": "string",
              "value": "={{ $json.citations[3].url}}"
            },
            {
              "id": "13e874d5-bbb1-4624-809b-2631f2e915ad",
              "name": "Source4",
              "type": "string",
              "value": "={{ $json.citations[3].url}}"
            },
            {
              "id": "85f0a9a3-22ac-482d-9ba6-31cf18a33af9",
              "name": "Source5",
              "type": "string",
              "value": "={{ $json.citations[4].url}}"
            },
            {
              "id": "0d7bfe8c-a9de-442d-a186-1d10bdf31985",
              "name": "Source6",
              "type": "string",
              "value": "={{ $json.citations[5].url}}"
            },
            {
              "id": "998de421-8d87-4f4b-a605-e7cc54dc7872",
              "name": "NewsListing1",
              "type": "string",
              "value": "={{ $json.newsListing[0].url}}"
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "cbe3ef1b-49c9-438f-bcdb-96476e293cd9",
      "name": "Preparar Columnas de Hoja",
      "type": "n8n-nodes-base.set",
      "position": [
        704,
        304
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "08e610b4-563f-4f6d-b79e-cfc40b0d2f81",
              "name": "Prompt",
              "type": "string",
              "value": "={{ $('loop-input').item.json.Prompt }}"
            },
            {
              "id": "d34deaf5-2918-4afa-911c-d0922dcd7925",
              "name": "Response",
              "type": "string",
              "value": "={{ $('normalized-tool-response').item.json.Response }}"
            },
            {
              "id": "9f4ccf36-cfe0-4920-8f72-5c683a345806",
              "name": "Brand mentioned",
              "type": "string",
              "value": "={{ $('normalized-tool-response').item.json.Response.toLowerCase().includes(\"asics\") }}"
            },
            {
              "id": "b8b67f47-747b-41f7-9e8c-e31ac5f8047f",
              "name": "Brand Hierarchy",
              "type": "string",
              "value": "={{ $json.output['Brand Hierachy'] || \"\" }}"
            },
            {
              "id": "f954ed8a-d432-4a30-bbc5-2d864901b356",
              "name": "Basic Polarity",
              "type": "string",
              "value": "={{ $json.output['Basic Polarity'] || \"\" }}"
            },
            {
              "id": "817ce1aa-f913-4933-9646-340ff66c784b",
              "name": "Emotion Category",
              "type": "string",
              "value": "={{ $json.output['Emotion Category'] || \"\"}}"
            },
            {
              "id": "25feac61-7a0d-469b-ba5f-061e75a66c99",
              "name": "Source 1",
              "type": "string",
              "value": "={{ $('normalized-tool-response').item.json.Source1?$('normalized-tool-response').item.json.Source1:\"\" }}"
            },
            {
              "id": "9d7b5abd-64ac-4032-a765-d8d995a898e4",
              "name": "Source 2",
              "type": "string",
              "value": "={{ $('normalized-tool-response').item.json.Source2?$('normalized-tool-response').item.json.Source2:\"\" }}"
            },
            {
              "id": "d1bd2690-777b-419d-9b8c-e3d746525fe0",
              "name": "Source 3",
              "type": "string",
              "value": "={{ $('normalized-tool-response').item.json.Source3?$('normalized-tool-response').item.json.Source3:\"\" }}"
            },
            {
              "id": "7b53cb12-1e02-4ce3-ad0a-6c4f930eeb6c",
              "name": "Source4",
              "type": "string",
              "value": "={{ $('normalized-tool-response').item.json.Source4?$('normalized-tool-response').item.json.Source4:\"\" }}"
            },
            {
              "id": "e3bf318d-5986-451c-9a5c-e4d46055951b",
              "name": "LLM",
              "type": "string",
              "value": "={{ $('normalized-tool-response').item.json.LLM }}"
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "ad845eea-f2ae-48a2-ae5f-ddf050ee648a",
      "name": "Respuesta Normalizada de Herramienta",
      "type": "n8n-nodes-base.noOp",
      "position": [
        32,
        336
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "24cd700e-5ff1-4a5a-9564-0857046347d5",
      "name": "Entrada de Bucle",
      "type": "n8n-nodes-base.noOp",
      "position": [
        -1296,
        320
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "67ab9566-baa4-4cc6-ba9f-598919abf806",
      "name": "Si Exitoso",
      "type": "n8n-nodes-base.if",
      "position": [
        -656,
        736
      ],
      "parameters": {
        "options": {},
        "conditions": {
          "options": {
            "version": 2,
            "leftValue": "",
            "caseSensitive": true,
            "typeValidation": "strict"
          },
          "combinator": "and",
          "conditions": [
            {
              "id": "221e7600-61b9-4f53-a904-a04bacc391f9",
              "operator": {
                "type": "string",
                "operation": "notEmpty",
                "singleValue": true
              },
              "leftValue": "={{ $json.prompt }}",
              "rightValue": 0
            }
          ]
        }
      },
      "typeVersion": 2.2
    },
    {
      "id": "f5329382-468c-4a50-ba99-c941693fcf54",
      "name": "Fin de Bucle",
      "type": "n8n-nodes-base.noOp",
      "position": [
        1136,
        704
      ],
      "parameters": {},
      "typeVersion": 1
    }
  ],
  "active": false,
  "pinData": {},
  "settings": {
    "executionOrder": "v1"
  },
  "versionId": "f43370b9-890c-4081-8787-39ac1033a57c",
  "connections": {
    "f83b4579-7eee-437c-bdc7-34273e19925b": {
      "main": [
        [
          {
            "node": "ad845eea-f2ae-48a2-ae5f-ddf050ee648a",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "f5329382-468c-4a50-ba99-c941693fcf54": {
      "main": [
        [
          {
            "node": "d22d72c3-9a88-4fa9-8e13-4f6c84100ae6",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "d76ce3fd-91cd-4c1c-9a4d-579b42b08123": {
      "ai_languageModel": [
        [
          {
            "node": "fc60def4-55f5-4838-bae8-ef18ab63730e",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "24cd700e-5ff1-4a5a-9564-0857046347d5": {
      "main": [
        [
          {
            "node": "7260d41f-2349-45ab-bcec-6c8d73fab4e5",
            "type": "main",
            "index": 0
          },
          {
            "node": "ec91e5db-13ab-4c68-91d3-c15fbd391c57",
            "type": "main",
            "index": 0
          },
          {
            "node": "1fc655af-c428-4bad-8df3-7dbb193d8005",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "0ce10377-ac99-4f8e-97de-407716b12053": {
      "main": [
        [
          {
            "node": "8912b8d9-266c-4b9f-9e4e-d12dd5c7a97d",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "f92edafd-a458-42f5-acfc-c2a0e9eae6af": {
      "main": [
        [
          {
            "node": "67f32fd1-5f4a-40d9-825c-a90157dae006",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "67ab9566-baa4-4cc6-ba9f-598919abf806": {
      "main": [
        [
          {
            "node": "4086a4bc-527c-41ad-8f46-7e9ab78f30f5",
            "type": "main",
            "index": 0
          }
        ],
        [
          {
            "node": "f5329382-468c-4a50-ba99-c941693fcf54",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "13244b6e-40b4-494c-b5b2-2c6693e3807f": {
      "ai_outputParser": [
        [
          {
            "node": "fc60def4-55f5-4838-bae8-ef18ab63730e",
            "type": "ai_outputParser",
            "index": 0
          }
        ]
      ]
    },
    "84a55a32-071a-43c6-a8c8-6e50dc31c705": {
      "main": [
        [
          {
            "node": "53519447-0bb2-4975-8c91-2b3b729f837c",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "a66095ef-09fd-4d7e-a33c-ea7ac731fc4a": {
      "main": [
        [
          {
            "node": "0baea2a7-b19a-4aa7-b121-f1455215102b",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "4086a4bc-527c-41ad-8f46-7e9ab78f30f5": {
      "main": [
        [
          {
            "node": "ad845eea-f2ae-48a2-ae5f-ddf050ee648a",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "6023f97b-3528-4390-8e58-1c506dedc75d": {
      "main": [
        [
          {
            "node": "84a55a32-071a-43c6-a8c8-6e50dc31c705",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "410190c4-513c-4524-b8ca-1383bd00f8fe": {
      "main": [
        [
          {
            "node": "fc60def4-55f5-4838-bae8-ef18ab63730e",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "7260d41f-2349-45ab-bcec-6c8d73fab4e5": {
      "main": [
        [
          {
            "node": "f83b4579-7eee-437c-bdc7-34273e19925b",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "53519447-0bb2-4975-8c91-2b3b729f837c": {
      "main": [
        [
          {
            "node": "67f32fd1-5f4a-40d9-825c-a90157dae006",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "d22d72c3-9a88-4fa9-8e13-4f6c84100ae6": {
      "main": [
        [],
        [
          {
            "node": "24cd700e-5ff1-4a5a-9564-0857046347d5",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "438305e4-b1e0-4ce9-b54e-86c93ea850b7": {
      "main": [
        [
          {
            "node": "ad845eea-f2ae-48a2-ae5f-ddf050ee648a",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "67f32fd1-5f4a-40d9-825c-a90157dae006": {
      "main": [
        [
          {
            "node": "d22d72c3-9a88-4fa9-8e13-4f6c84100ae6",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "fb6acc43-81a2-4b6f-85d9-74715960213d": {
      "ai_languageModel": [
        [
          {
            "node": "f6d1180b-8dbc-4ae2-ad7d-02e3a17dbb7f",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "ec91e5db-13ab-4c68-91d3-c15fbd391c57": {
      "main": [
        [
          {
            "node": "438305e4-b1e0-4ce9-b54e-86c93ea850b7",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "f4455754-0af0-4ede-a0ab-eb6a77d1b6d5": {
      "main": [
        [
          {
            "node": "f5329382-468c-4a50-ba99-c941693fcf54",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "8912b8d9-266c-4b9f-9e4e-d12dd5c7a97d": {
      "main": [
        [
          {
            "node": "410190c4-513c-4524-b8ca-1383bd00f8fe",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "cbe3ef1b-49c9-438f-bcdb-96476e293cd9": {
      "main": [
        [
          {
            "node": "f4455754-0af0-4ede-a0ab-eb6a77d1b6d5",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "ad845eea-f2ae-48a2-ae5f-ddf050ee648a": {
      "main": [
        [
          {
            "node": "f6d1180b-8dbc-4ae2-ad7d-02e3a17dbb7f",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "46cf70fd-a8f5-4310-b226-8f0bbca0519a": {
      "ai_languageModel": [
        [
          {
            "node": "7260d41f-2349-45ab-bcec-6c8d73fab4e5",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "c8786ef3-5147-4f02-9d71-bbee87d3a19d": {
      "ai_outputParser": [
        [
          {
            "node": "f6d1180b-8dbc-4ae2-ad7d-02e3a17dbb7f",
            "type": "ai_outputParser",
            "index": 0
          }
        ]
      ]
    },
    "1fc655af-c428-4bad-8df3-7dbb193d8005": {
      "main": [
        [
          {
            "node": "67ab9566-baa4-4cc6-ba9f-598919abf806",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "fc60def4-55f5-4838-bae8-ef18ab63730e": {
      "main": [
        [
          {
            "node": "a66095ef-09fd-4d7e-a33c-ea7ac731fc4a",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "f6d1180b-8dbc-4ae2-ad7d-02e3a17dbb7f": {
      "main": [
        [
          {
            "node": "cbe3ef1b-49c9-438f-bcdb-96476e293cd9",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  }
}
Preguntas frecuentes

¿Cómo usar este flujo de trabajo?

Copie el código de configuración JSON de arriba, cree un nuevo flujo de trabajo en su instancia de n8n y seleccione "Importar desde JSON", pegue la configuración y luego modifique la configuración de credenciales según sea necesario.

¿En qué escenarios es adecuado este flujo de trabajo?

Avanzado - Investigación de mercado, Resumen de IA

¿Es de pago?

Este flujo de trabajo es completamente gratuito, puede importarlo y usarlo directamente. Sin embargo, tenga en cuenta que los servicios de terceros utilizados en el flujo de trabajo (como la API de OpenAI) pueden requerir un pago por su cuenta.

Información del flujo de trabajo
Nivel de dificultad
Avanzado
Número de nodos48
Categoría2
Tipos de nodos14
Descripción de la dificultad

Adecuado para usuarios avanzados, flujos de trabajo complejos con 16+ nodos

Autor
AOE Agent Lab

AOE Agent Lab

@aoepeople

We are AOE’s AI & Automation Team – engineers, architects, and AI specialists. We build production-ready, agent-based automation using n8n, LLMs, vector stores, and secure toolchains. Our focus: ideation, evaluation-driven development, and scalable AI architecture. All workflows are modular, reusable, and built for real-world application – by practitioners

Enlaces externos
Ver en n8n.io

Compartir este flujo de trabajo

Categorías

Categorías: 34