Copy-paste AI formulas for Google Sheets
Copy a formula into row 2, then drag it down to turn every spreadsheet row into output you can use.
Humanize corporate copy
A: draft text · B: channel · C: brand voice · D: goal
=GPT("Transform this corporate-speak into something humans actually want to read: '" & A2 & "' for " & B2 & " with " & C2 & " brand voice to achieve " & D2 & ". Make it: 1) Actually funny, 2) Memorable, 3) Shareable, 4) On-brand but not boring, 5) Conversation-starting")
Extract a clean output from messy input
A: messy source text · B: desired output format
=GPT("Extract the useful information from this text and return it as " & B2 & ": " & A2)
Generate row-specific recommendations
A: item · B: audience · C: goal · D: constraints
=GPT("For " & A2 & ", recommend the best next action for " & B2 & " to achieve " & C2 & ". Respect these constraints: " & D2 & ". Return: recommendation, reason, and next step.")
What is LinkedIn Lead Research in Google Sheets with AI?
LinkedIn lead research in Google Sheets means organizing profile and company context in rows, then using AI to summarize relevance, score fit, and draft a thoughtful outreach angle for human review.
Best for: Founders, sales teams, recruiters, and agencies who manage LinkedIn prospects in spreadsheets and want better context before manual outreach.
Fastest setup: Install GPT for Sheets → open your spreadsheet → choose an AI provider → fill an AI formula down the column.
In this guide
- Set up a practical spreadsheet workflow
- Copy formulas you can adapt immediately
- Add QA columns so AI output stays useful and reviewable
- Use GPT for Sheets as the add-on layer for bulk AI prompts
- Link this workflow with related Google Sheets AI guides
Linkedin Lead Research Workflow
Start with a clean input table. Keep source data and AI-generated output in separate columns so you can review, filter, and rerun prompts safely.
- Column A: Name
- Column B: Role
- Column C: Company
- Column D: Profile notes
- Column E: Company context
- Column F: ICP fit
- Column G: Personalization angle
- Column H: CRM note
Recommended process:
- Add 10-20 sample rows first.
- Write one prompt for a single row.
- Review output quality and tighten the prompt.
- Fill the formula down the column.
- Add a QA column for accuracy, missing context, or manual review.
Copy These Linkedin Lead Research Formulas
Use these as starting points. Replace =GPT with the model-specific formula you use in GPT for Sheets if needed.