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n8n-workflow-21472.n8n.io · 2026-10-25 14:37:52 UTC · d1594d5c5134eddc72e5c50b075c2052bf1a0ef0c9087ff0ff591ff4c01048a3

This is a frozen copy of the agent's agent-card.json as we observed it at the timestamp above. We capture a new snapshot every time the card's content hash changes. Useful for: forensic drift analysis, verifying downstream callers see the right version, reproducing routing decisions made historically.

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                  "url": "https://n8n.io/blog/world-poetry-day-workflow/",
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            "alias": [
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              "Filter",
              "Condition",
              "Logic",
              "Boolean",
              "Branch"
            ],
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                },
                {
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                  "icon": "\ud83e\udd2c",
                  "label": "Create a toxic language detector for Telegram in 4 step"
                },
                {
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                },
                {
                  "url": "https://n8n.io/blog/how-to-build-a-low-code-self-hosted-url-shortener/",
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                {
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                {
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                {
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                {
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                },
                {
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                  "icon": "\ud83c\udff7\ufe0f",
                  "label": "How to automatically manage contributions to open-source projects"
                },
                {
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                {
                  "url": "https://n8n.io/blog/why-this-product-manager-loves-workflow-automation-with-n8n/",
                  "icon": "\ud83e\udde0",
                  "label": "Why this Product Manager loves workflow automation with n8n"
                },
                {
                  "url": "https://n8n.io/blog/sending-automated-congratulations-with-google-sheets-twilio-and-n8n/",
                  "icon": "\ud83d\ude4c",
                  "label": "Sending Automated Congratulations with Google Sheets, Twilio, and n8n "
                },
                {
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                  "icon": "\ud83c\udfa1",
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                },
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                  "label": "Benefits of automation and n8n: An interview with HubSpot's Hugh Durkin"
                },
                {
                  "url": "https://n8n.io/blog/aws-workflow-automation/",
                  "label": "7 no-code workflow automations for Amazon Web Services"
                }
              ],
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                }
              ]
            },
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            "nodeVersion": "1.0",
            "codexVersion": "1.0",
            "subcategories": {
              "Core Nodes": [
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              ]
            }
          }
        },
        "group": "[\"transform\"]",
        "defaults": {
          "name": "If",
          "color": "#408000"
        },
        "iconData": {
          "icon": "map-signs",
          "type": "icon"
        },
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        "nodeCategories": [
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            "id": 9,
            "name": "Core Nodes"
          }
        ]
      },
      {
        "id": 38,
        "icon": "fa:pen",
        "name": "n8n-nodes-base.set",
        "codex": {
          "data": {
            "alias": [
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              "JS",
              "JSON",
              "Filter",
              "Transform",
              "Map"
            ],
            "resources": {
              "generic": [
                {
                  "url": "https://n8n.io/blog/learn-to-automate-your-factorys-incident-reporting-a-step-by-step-guide/",
                  "icon": "\ud83c\udfed",
                  "label": "Learn to Automate Your Factory's Incident Reporting: A Step by Step Guide"
                },
                {
                  "url": "https://n8n.io/blog/2021-the-year-to-automate-the-new-you-with-n8n/",
                  "icon": "\u2600\ufe0f",
                  "label": "2021: The Year to Automate the New You with n8n"
                },
                {
                  "url": "https://n8n.io/blog/automatically-pulling-and-visualizing-data-with-n8n/",
                  "icon": "\ud83d\udcc8",
                  "label": "Automatically pulling and visualizing data with n8n"
                },
                {
                  "url": "https://n8n.io/blog/database-monitoring-and-alerting-with-n8n/",
                  "icon": "\ud83d\udce1",
                  "label": "Database Monitoring and Alerting with n8n"
                },
                {
                  "url": "https://n8n.io/blog/automatically-adding-expense-receipts-to-google-sheets-with-telegram-mindee-twilio-and-n8n/",
                  "icon": "\ud83e\uddfe",
                  "label": "Automatically Adding Expense Receipts to Google Sheets with Telegram, Mindee, Twilio, and n8n"
                },
                {
                  "url": "https://n8n.io/blog/no-code-ecommerce-workflow-automations/",
                  "icon": "store",
                  "label": "6 e-commerce workflows to power up your Shopify s"
                },
                {
                  "url": "https://n8n.io/blog/how-to-build-a-low-code-self-hosted-url-shortener/",
                  "icon": "\ud83d\udd17",
                  "label": "How to build a low-code, self-hosted URL shortener in 3 steps"
                },
                {
                  "url": "https://n8n.io/blog/automate-your-data-processing-pipeline-in-9-steps-with-n8n/",
                  "icon": "\u2699\ufe0f",
                  "label": "Automate your data processing pipeline in 9 steps"
                },
                {
                  "url": "https://n8n.io/blog/how-to-get-started-with-crm-automation-and-no-code-workflow-ideas/",
                  "icon": "\ud83d\udc65",
                  "label": "How to get started with CRM automation (with 3 no-code workflow ideas"
                },
                {
                  "url": "https://n8n.io/blog/5-tasks-you-can-automate-with-notion-api/",
                  "icon": "\u26a1\ufe0f",
                  "label": "5 tasks you can automate with the new Notion API "
                },
                {
                  "url": "https://n8n.io/blog/automate-google-apps-for-productivity/",
                  "icon": "\ud83d\udca1",
                  "label": "15 Google apps you can combine and automate to increase productivity"
                },
                {
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                },
                {
                  "url": "https://n8n.io/blog/how-to-set-up-a-ci-cd-pipeline-with-no-code/",
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                {
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                  "label": "How Goomer automated their operations with over 200 n8n workflows"
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                {
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        "iconData": {
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                {
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              "Exception"
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            }
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        },
        "group": "[\"input\"]",
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            "name": "Development"
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          {
            "id": 9,
            "name": "Core Nodes"
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        ]
      },
      {
        "id": 839,
        "icon": "fa:clock",
        "name": "n8n-nodes-base.scheduleTrigger",
        "codex": {
          "data": {
            "alias": [
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              "Scheduler",
              "Polling",
              "Cron",
              "Interval"
            ],
            "resources": {
              "generic": [],
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.scheduletrigger/"
                }
              ]
            },
            "categories": [
              "Core Nodes"
            ],
            "nodeVersion": "1.0",
            "codexVersion": "1.0"
          }
        },
        "group": "[\"trigger\",\"schedule\"]",
        "defaults": {
          "name": "Schedule Trigger",
          "color": "#31C49F"
        },
        "iconData": {
          "icon": "clock",
          "type": "icon"
        },
        "displayName": "Schedule Trigger",
        "typeVersion": 1,
        "nodeCategories": [
          {
            "id": 9,
            "name": "Core Nodes"
          }
        ]
      },
      {
        "id": 844,
        "icon": "fa:filter",
        "name": "n8n-nodes-base.filter",
        "codex": {
          "data": {
            "alias": [
              "Router",
              "Filter",
              "Condition",
              "Logic",
              "Boolean",
              "Branch"
            ],
            "details": "The Filter node can be used to filter items based on a condition. If the condition is met, the item will be passed on to the next node. If the condition is not met, the item will be omitted. Conditions can be combined together by AND(meet all conditions), or OR(meet at least one condition).",
            "resources": {
              "generic": [],
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.filter/"
                }
              ]
            },
            "categories": [
              "Core Nodes"
            ],
            "nodeVersion": "1.0",
            "codexVersion": "1.0",
            "subcategories": {
              "Core Nodes": [
                "Flow",
                "Data Transformation"
              ]
            }
          }
        },
        "group": "[\"transform\"]",
        "defaults": {
          "name": "Filter",
          "color": "#229eff"
        },
        "iconData": {
          "icon": "filter",
          "type": "icon"
        },
        "displayName": "Filter",
        "typeVersion": 2,
        "nodeCategories": [
          {
            "id": 9,
            "name": "Core Nodes"
          }
        ]
      },
      {
        "id": 1123,
        "icon": "fa:link",
        "name": "@n8n/n8n-nodes-langchain.chainLlm",
        "codex": {
          "data": {
            "alias": [
              "LangChain"
            ],
            "resources": {
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.chainllm/"
                }
              ]
            },
            "categories": [
              "AI",
              "Langchain"
            ],
            "subcategories": {
              "AI": [
                "Chains",
                "Root Nodes"
              ]
            }
          }
        },
        "group": "[\"transform\"]",
        "defaults": {
          "name": "Basic LLM Chain",
          "color": "#909298"
        },
        "iconData": {
          "icon": "link",
          "type": "icon"
        },
        "displayName": "Basic LLM Chain",
        "typeVersion": 2,
        "nodeCategories": [
          {
            "id": 25,
            "name": "AI"
          },
          {
            "id": 26,
            "name": "Langchain"
          }
        ]
      },
      {
        "id": 1153,
        "icon": "file:openAiLight.svg",
        "name": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
        "codex": {
          "data": {
            "resources": {
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.lmchatopenai/"
                }
              ]
            },
            "categories": [
              "AI",
              "Langchain"
            ],
            "subcategories": {
              "AI": [
                "Language Models",
                "Root Nodes"
              ],
              "Language Models": [
                "Chat Models (Recommended)"
              ]
            }
          }
        },
        "group": "[\"transform\"]",
        "defaults": {
          "name": "OpenAI Chat Model"
        },
        "iconData": {
          "type": "file",
          "fileBuffer": "data:image/svg+xml;base64,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"
        },
        "displayName": "OpenAI Chat Model",
        "typeVersion": 1,
        "nodeCategories": [
          {
            "id": 25,
            "name": "AI"
          },
          {
            "id": 26,
            "name": "Langchain"
          }
        ]
      },
      {
        "id": 1237,
        "icon": "file:limit.svg",
        "name": "n8n-nodes-base.limit",
        "codex": {
          "data": {
            "alias": [
              "Limit",
              "Remove",
              "Slice",
              "Transform",
              "Array",
              "List",
              "Item"
            ],
            "details": "",
            "resources": {
              "generic": [],
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.limit/"
                }
              ]
            },
            "categories": [
              "Core Nodes"
            ],
            "nodeVersion": "1.0",
            "codexVersion": "1.0",
            "subcategories": {
              "Core Nodes": [
                "Data Transformation"
              ]
            }
          }
        },
        "group": "[\"transform\"]",
        "defaults": {
          "name": "Limit"
        },
        "iconData": {
          "type": "file",
          "fileBuffer": "data:image/svg+xml;base64,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"
        },
        "displayName": "Limit",
        "typeVersion": 1,
        "nodeCategories": [
          {
            "id": 9,
            "name": "Core Nodes"
          }
        ]
      },
      {
        "id": 1239,
        "icon": "file:splitOut.svg",
        "name": "n8n-nodes-base.splitOut",
        "codex": {
          "data": {
            "alias": [
              "Split",
              "Nested",
              "Transform",
              "Array",
              "List",
              "Item"
            ],
            "details": "",
            "resources": {
              "generic": [],
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.splitout/"
                }
              ]
            },
            "categories": [
              "Core Nodes"
            ],
            "nodeVersion": "1.0",
            "codexVersion": "1.0",
            "subcategories": {
              "Core Nodes": [
                "Data Transformation"
              ]
            }
          }
        },
        "group": "[\"transform\"]",
        "defaults": {
          "name": "Split Out"
        },
        "iconData": {
          "type": "file",
          "fileBuffer": "data:image/svg+xml;base64,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"
        },
        "displayName": "Split Out",
        "typeVersion": 1,
        "nodeCategories": [
          {
            "id": 9,
            "name": "Core Nodes"
          }
        ]
      },
      {
        "id": 1315,
        "icon": "fa:table",
        "name": "n8n-nodes-base.dataTable",
        "codex": {
          "data": {
            "alias": [
              "data",
              "table",
              "knowledge",
              "data table",
              "table",
              "sheet",
              "database",
              "data base",
              "mysql",
              "postgres",
              "postgresql",
              "airtable",
              "supabase",
              "noco",
              "notion"
            ],
            "details": "Data table",
            "resources": {
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.datatable/"
                }
              ]
            },
            "categories": [
              "Core Nodes",
              "Development"
            ],
            "nodeVersion": "1.0",
            "codexVersion": "1.0",
            "subcategories": {
              "Core Nodes": [
                "Helpers"
              ]
            }
          }
        },
        "group": "[\"input\",\"transform\"]",
        "defaults": {
          "name": "Data table"
        },
        "iconData": {
          "icon": "table",
          "type": "icon"
        },
        "displayName": "Data table",
        "typeVersion": 1,
        "nodeCategories": [
          {
            "id": 5,
            "name": "Development"
          },
          {
            "id": 9,
            "name": "Core Nodes"
          }
        ]
      }
    ]
  },
  "detail": {
    "description": "Quick overview For marketing teams and SEO specialists who track their brand with Searcherries. Every Monday the workflow compares your AI visibility in ChatGPT, Perplexity, Google AI Overviews, Gemini, Claude and Grok with last week, alerts Slack when you lose ground and emails an OpenAI-written report. How it works 1. Runs every Monday at 8:00 on a scheduled trigger. 2. Creates (or reuses) an n8n Data Table to store weekly Searcherries snapshots and then fetches your Searcherries project list via the Searcherries REST API. 3. Matches the configured brand name or project ID to a single Searcherries project and stops with an error if no match is found. 4. Retrieves the visibility summary, competitor ranking, answers where AI platforms leave the brand out or mention it only in passing, and the most cited domains from the Searcherries REST API. 5. Compares this week's metrics with the last saved snapshot and builds an alert when named share drops, a competitor gains or appears, or a new question leaves the brand out. 6. Sends a Slack message to the configured channel when an alert is triggered. 7. Uses OpenAI to write a Markdown weekly report from the comparison data, converts it to HTML and emails it. This week's snapshot is saved to the Data Table for the next comparison. Setup 1. In Searcherries, open MCP \u2192 Other clients \u2192 Access tokens and create a token. In n8n, add it as a Bearer Auth credential and select it in the five Searcherries HTTP Request nodes. 2. Add an OpenAI API credential for the chat model, a Slack API credential (a bot token with the chat:write scope, with the bot invited to the channel) and an SMTP credential for the email. 3. In Configure Report Settings, set the project (brand name or project ID), the report and sender emails, the Slack channel and the alert thresholds. Run the workflow once. The first run creates the history table and saves the baseline, so alerts start from the second week. Requirements - A Searcherries Starter or Pro plan (AI visibility tracking) - An OpenAI API key, or another chat model - A Slack workspace with a bot token that has chat:write - An SMTP account for the email report - n8n Cloud or a recent self-hosted n8n with Data tables Customization - Change alertdroppoints and competitorgainpoints to make alerts more or less sensitive - Change the day and time in the Every Monday at 8AM trigger - Replace the OpenAI Chat Model with another chat model, or Email Weekly Report with Gmail or Outlook - Edit the prompt in Write Weekly Report to change the report sections or language - Delete the Slack branch if the weekly email is enough Additional info The Searcherries REST API is read-only, so the workflow never changes your project. Numbers come from Searcherries' stored checks: the main tracked question is checked daily, the others weekly. API docs: https://searcherries.com/docs/api/overview"
  }
}