Capture leads on WhatsApp and save them to Sheets
An n8n WhatsApp agent asks leads for their name and email and automatically saves them to Google Sheets, shown in a demo.
The author built a pipeline with Gemini Deep Research, NotebookLM and Sheets that produces a scored lead profile and outreach draft in under 20 minutes, tested on three companies.
The author built a pipeline with Gemini Deep Research, NotebookLM and Sheets that produces a scored lead profile and outreach draft in under 20 minutes, tested on three companies.
The author set up a custom Gem called Sales Lead Researcher with their offering and a four-part, 0-16 scoring framework. For each company, one command runs Deep Research and a second identifies a decision-maker, scores the company and drafts a short LinkedIn message. Results go to Google Docs, then NotebookLM for comparison, then Sheets.
Deep Research cited 50-100+ sources per company and took 7-10 minutes each. Scores were 14/16, 13/16 and 9/16 for Airbnb, which gave three different outreach strategies. The prompts and rubric are paywalled.
It only researches companies you already picked, needs your own offer and scoring rubric defined first, runs on Gemini Pro at $20/month, and Deep Research has daily limits.
Use Deep Research on [company name] to build a sales lead profile: what they do, recent news, key decision makers, likely pain points related to [my product], and a fit score from 1 to 10 with reasons. Then draft a short outreach email in [my tone]. Finish with the profile in a table plus the draft, and do not send anything.
An n8n WhatsApp agent asks leads for their name and email and automatically saves them to Google Sheets, shown in a demo.
An n8n agent handles customer WhatsApp messages, searches info, checks the calendar, logs to Sheets or Notion, and replies by WhatsApp and email.
A Lindy agent researches YouTube ideas and scripts, and another emails a brief on discovery-call contacts 10 minutes before meetings; complex content stayed on Make.