B2B Discovery & Outreach Engine

The Operational Bottleneck

Sales teams waste thousands of hours on manual prospecting, inconsistent lead qualification, and generic outreach. Most B2B organizations lose deals simply because they lack the bandwidth to conduct deep research before sending outreach, resulting in campaigns that feel automated and impersonal.

The Architectural Solution

An end-to-end n8n automation pipeline that captures leads from multiple fragmented sources, qualifies them using AI against a custom Ideal Customer Profile (ICP), scores them by conversion probability, and automatically dispatches hyper-personalized outreach sequences.

Execution Sequence

• Target Ingestion: Synchronizes asynchronously via Google Sheets, Apollo.io APIs, or Webhooks.
• AI Research Layer: Agentic web-scraping crawls target domains to identify company trigger events (recent news, funding, hiring signals).
• Deterministic Lead Scoring: Groq LLM evaluates the lead against your strict ICP rubric, returning a 0-100 conversion probability score.
• Contextual Hook Generation: A unique opening hook is generated referencing the specific trigger event identified in step 2.
• Delivery & Telemetry: Gmail API dispatch triggers delivery and queues intelligent, context-aware follow-up sequences.

Core Logic Definition

"node": "Groq LLM Qualification Engine",
"parameters": {
  "model": "llama3-70b-8192",
  "systemMessage": "Evaluate prospect against strict ICP matrix. Return JSON.",
  "schema": {
    "confidence_score": 85,
    "is_qualified": true,
    "personalized_hook": "Saw your recent Series A expansion into EU..."
  }
}

Expected Telemetry