使用 Explorium 评分公司 ICP
中级
这是一个Lead Generation, AI Summarization领域的自动化工作流,包含 8 个节点。主要使用 FormTrigger, HttpRequest, Agent, McpClientTool, LmChatAnthropic 等节点。 通过Explorium数据和Claude AI分析自动化公司ICP评分
前置要求
- •可能需要目标 API 的认证凭证
- •Anthropic API Key
工作流预览
可视化展示节点连接关系,支持缩放和平移
导出工作流
复制以下 JSON 配置到 n8n 导入,即可使用此工作流
{
"id": "9h9ppDLnWx1FriWK",
"meta": {
"instanceId": "0a70652f43c1b29dd16c35b61a38fd31c8004f58bc7e723bf43262a797407c77",
"templateId": "4262",
"templateCredsSetupCompleted": true
},
"name": "使用 Explorium 评分公司 ICP",
"tags": [],
"nodes": [
{
"id": "53ac44a9-4774-42f5-8b3d-d7c83272c1fa",
"name": "表单提交时",
"type": "n8n-nodes-base.formTrigger",
"position": [
1300,
880
],
"webhookId": "2d5e3676-5284-4da1-bdf5-34f92d8d435f",
"parameters": {
"options": {},
"formTitle": "Company ICP scoring",
"formFields": {
"values": [
{
"fieldLabel": "Company Name",
"placeholder": "Apple",
"requiredField": true
}
]
},
"formDescription": "=This automation takes company's Linkedin Profile URL and Airtop Profile (authenticated for Linkedin) and returns the company's ICP score"
},
"typeVersion": 2.2
},
{
"id": "376edace-c71d-40ca-a0e7-4cc6d11bed17",
"name": "便签说明4",
"type": "n8n-nodes-base.stickyNote",
"position": [
1100,
720
],
"parameters": {
"width": 400,
"height": 500,
"content": "## 输入参数"
},
"typeVersion": 1
},
{
"id": "8687eea7-1059-43e4-8575-f8a6ebeae0a2",
"name": "便签",
"type": "n8n-nodes-base.stickyNote",
"position": [
1520,
720
],
"parameters": {
"color": 5,
"width": 960,
"height": 500,
"content": "## 计算 ICP"
},
"typeVersion": 1
},
{
"id": "5f2723ea-8df0-430e-8a4c-a057b7e6081a",
"name": "便签 7",
"type": "n8n-nodes-base.stickyNote",
"position": [
360,
460
],
"parameters": {
"width": 700,
"height": 880,
"content": "# 🧠 ICP 评分代理 (n8n + Explorium + LLM)"
},
"typeVersion": 1
},
{
"id": "7c5a0104-f73c-42be-bb1b-6b335e81501f",
"name": "AI Agent",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
1620,
880
],
"parameters": {
"text": "=Generate a clean Markdown report for the company \"{{ $json['Company Name'] }}\" based on the following:\n\n- Strategic Fit (score out of 40, summary, justification)\n- AI/Tech Readiness (score out of 40, summary, justification)\n- Engagement & Reachability (score out of 20, summary, justification)\n- Final Summary (1–2 sentence wrap-up)\n- Total ICP Score: Sum of the 3 categories (max = 100)\n- Verdict: Poor Fit, Medium Fit, Good Fit, or Ideal ICP\n\nThe output should be a clean Markdown document with headers and bold labels, like this:\n\n## 📌 Strategic Fit \n**Score:** 36 / 40 \n**Summary:** ... \n**Justification:** ...\n\nDo not include any explanation or JSON. Just return the report in Markdown.\n",
"options": {
"systemMessage": "=You are an AI business analyst tasked with generating clean Markdown reports summarizing ICP (Ideal Customer Profile) evaluations.\n\nUse this 3-pillar scoring system (max 100 points total):\n- Strategic Fit: 0–40 points\n- AI/Tech Readiness: 0–40 points\n- Engagement & Reachability: 0–20 points\n\nYour output must:\n- Be formatted in Markdown\n- Use headers (##) and bold labels (e.g., **Score:**)\n- Include only the report — no preamble, explanation, or extra intro\n- Always show the total score out of 100\n- Use one of the following verdicts: Poor Fit, Medium Fit, Good Fit, Ideal ICP\n\nNever scale the total to 300. Never include anything outside the report.\n"
},
"promptType": "define"
},
"typeVersion": 1.9
},
{
"id": "53b09fbf-c8da-43a0-b7ac-ed9ebacd2dba",
"name": "MCP Client",
"type": "@n8n/n8n-nodes-langchain.mcpClientTool",
"position": [
1780,
1080
],
"parameters": {
"sseEndpoint": "mcp.explorium.ai/sse",
"authentication": "headerAuth"
},
"credentials": {
"httpHeaderAuth": {
"id": "LZOE1nqmRk3X6r1J",
"name": "Explorium"
}
},
"typeVersion": 1
},
{
"id": "6f0c8ee4-5aad-4b49-9202-bb2071f6b933",
"name": "Anthropic 聊天模型",
"type": "@n8n/n8n-nodes-langchain.lmChatAnthropic",
"position": [
1620,
1060
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "claude-3-7-sonnet-20250219",
"cachedResultName": "Claude 3.7 Sonnet"
},
"options": {}
},
"credentials": {
"anthropicApi": {
"id": "FQdE6twB8nCJNoxV",
"name": "Anthropic account"
}
},
"typeVersion": 1.3
},
{
"id": "3b60d56a-b305-40af-aea7-f9847bdc3aee",
"name": "HTTP 请求",
"type": "n8n-nodes-base.httpRequest",
"position": [
2060,
880
],
"parameters": {
"url": "https://md2doc.n8n.aemalsayer.com",
"method": "POST",
"options": {},
"sendBody": true,
"authentication": "predefinedCredentialType",
"bodyParameters": {
"parameters": [
{
"name": "output",
"value": "={{ $json.output }}"
},
{
"name": "fileName",
"value": "={{ $('On form submission').item.json['Company Name'] }} ICP Report"
}
]
},
"nodeCredentialType": "googleDocsOAuth2Api"
},
"credentials": {
"googleDocsOAuth2Api": {
"id": "mZUWrRtmU1aouO4A",
"name": "Google Docs account"
}
},
"typeVersion": 4.2
}
],
"active": false,
"pinData": {},
"settings": {
"executionOrder": "v1"
},
"versionId": "d145e079-faa1-4302-b5c9-fb7ad2841560",
"connections": {
"AI Agent": {
"main": [
[
{
"node": "HTTP Request",
"type": "main",
"index": 0
}
]
]
},
"MCP Client": {
"ai_tool": [
[
{
"node": "AI Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"On form submission": {
"main": [
[
{
"node": "AI Agent",
"type": "main",
"index": 0
}
]
]
},
"Anthropic Chat Model": {
"ai_languageModel": [
[
{
"node": "AI Agent",
"type": "ai_languageModel",
"index": 0
}
]
]
}
}
}常见问题
如何使用这个工作流?
复制上方的 JSON 配置代码,在您的 n8n 实例中创建新工作流并选择「从 JSON 导入」,粘贴配置后根据需要修改凭证设置即可。
这个工作流适合什么场景?
中级 - 潜在客户开发, AI 摘要总结
需要付费吗?
本工作流完全免费,您可以直接导入使用。但请注意,工作流中使用的第三方服务(如 OpenAI API)可能需要您自行付费。
相关工作流推荐
销售AI网络研究员
使用Explorium MCP和Claude AI丰富公司档案以进行市场进入研究
Set
Merge
Google Sheets
+8
17 节点Itamar
潜在客户开发
Omer的工作流
基于产品发布的个性化销售外联,使用 Explorium 和 Claude AI
If
Code
Slack
+7
22 节点Itamar
销售
使用Bright Data MCP和AIAgents搜索和分析社交媒体资料
使用AI生成360度社交媒体报告 - Bright Data MCP
Set
Code
Form
+13
50 节点Romuald Członkowski
潜在客户开发
PQL + Amplitude
使用 Amplitude、Claude 和 PDL 评估产品合格潜在客户,用于销售路由
Set
Code
Merge
+10
21 节点Connor Provines
潜在客户开发
使用 Bright Data 抓取 Google 地图并生成 AI 外联消息用于潜在客户开发
使用 Bright Data 抓取 Google 地图并生成 AI 外联消息用于潜在客户开发
If
Set
Wait
+15
36 节点Solomon
潜在客户开发
AI驱动的谷歌地图商家数据抓取与表格导出
基于AI的谷歌地图商家数据抓取,支持数据丰富化并导出至表格
If
Code
Wait
+13
25 节点Msaid Mohamed el hadi
潜在客户开发