Autonomous Lead Researcher & SDR Agent
AI agent that researches companies from a Google Sheet, finds decision makers, and suggests personalized outreach angles.
The Problem
Sales reps spent 30+ minutes researching each prospect manually — searching Google for company info, finding decision makers on LinkedIn, and crafting personalized outreach messages.
The Solution
Built an autonomous AI SDR agent that reads company names from a Google Sheet, then conducts 3-4 Google searches per company to find company overview, CEO/founder, marketing leaders, and LinkedIn profiles. The agent identifies the best decision maker based on company size and suggests a personalized outreach angle. Results are written back to the sheet automatically.
Built with Claude Code
Search-tool wiring + agent system prompt designed inside Claude Code with the n8n-workflow-architect agent. Tool schemas validated by n8n-validation-expert before deploy.
Agents
Skills
MCP servers
Results
- Research time reduced from 30 minutes to under 60 seconds per company
- Outreach personalization quality improved with AI-suggested angles
- Sales team can process 50+ companies per hour instead of 2