Build an AI Lead Qualifier in n8n in 15 Minutes (Free Workflow)

说明与用途

在 n8n 中快速构建 AI 线索评估器，使用 LLM 对入站线索进行评分，并仅在评分高时向 Slack 发送通知。

问题

Inbound leads go cold while you're busy.

结果

The workflow scores inbound leads from 0 to 100 using BANT, returns a JSON with score, tier, summary, reasons, and next_step, and sends a Slack ping for scores ≥70.

工作流

• Webhook
• Config
• Build Prompt
• LLM (HTTP)
• Parse
• IF score ≥ 70
• Slack
• Respond

证据

Inbound leads go cold while you're busy. Here's a 5-node n8n workflow that scores every form submission with an LLM and pings Slack only for the leads worth your time.

来源

Webhook → Config → Build Prompt → LLM (HTTP) → Parse → IF score ≥ 70 → Slack → Respond

来源

I don't use a vendor-specific AI node. The LLM call is a plain HTTP Request to /chat/completions, so it works with OpenAI, Groq, OpenRouter, or local Ollama. Just change baseUrl.

来源

You are a B2B sales analyst. Score inbound leads 0-100 for fit and intent using BANT. Return JSON: {score, tier, summary, reasons[], next_step}

来源

Response: {"score":82,"tier":"hot","next_step":"Book a call this week..."}, and a Slack ping.

来源