AI Lead Research & Prospecting
Manual prospect research involves repeated discovery, enrichment, qualification, and note-taking. This demonstrated workflow turns those steps into a structured research pipeline with reviewable lead output.
Manual prospect research requires repeated searches, enrichment, qualification, and structured note-taking before a lead can move into a sales process.
The workflow gathers business research, normalizes and deduplicates inputs, fetches website information, prepares a research brief, applies AI analysis, and appends a structured row to Google Sheets.
Research request
A lead research form starts the process.
Discovery and enrichment
Business and website information is gathered.
AI qualification
The research is analyzed and prepared for review.
Structured output
The result is written to a Google Sheet.
Research form → n8n → Google Places / web search → AI analysis → Google Sheets
Designed to create structured lead research and route prospect information into a reviewable output.
These screenshots show the workflow structure and connected operational interfaces represented by this system. Select an image to inspect it at a larger size.