hub - Google Sheets deduplicate rows with AI
Google Sheets deduplicate rows with AI
Use AI prompts to define duplicate rules, review fuzzy matches, and clean repeated rows in Google Sheets. This page is built for assistants, marketers, data operators, founders who need to remove duplicate rows without losing useful records.
Where this workflow helps
Common friction
- duplicate rules differ by task
- email-only matching misses related records
- fuzzy matches need review
- people delete rows too quickly
Repeatable process
- Define what counts as a duplicate.
- Keep raw rows before editing.
- Ask for exact and manual-review match rules.
- Review fuzzy matches before deletion or merge.
Reusable prompts
Open prompt packCreate duplicate detection rules for this Google Sheets contact list.
Flag exact duplicates and likely duplicates separately.
Build a merge review table so I do not delete useful rows.
Tools to compare first
Full comparison| Tool | Best for | Use it when | Link |
|---|---|---|---|
| ChatGPT | Drafting formulas, prompts, replies, and first-pass workflows | A general-purpose assistant that works well for quick draft generation and iterative prompting. | Visit |
| Microsoft Copilot | Excel and Microsoft 365 workflows | Best matched to teams already living in Excel, Word, Outlook, and the Microsoft stack. | Visit |
| Google Gemini | Google Workspace users and mixed research workflows | Useful for teams that want AI help close to Docs, Sheets, and search-heavy research. | Visit |
| Zapier | Connecting tools and automating repeatable steps | Good for sending alerts, moving data between apps, and reducing routine manual work. | Visit |
Mistakes to avoid
Make the prompt more specific, keep the source data visible, and review the output before using it in a live workflow.
Make the prompt more specific, keep the source data visible, and review the output before using it in a live workflow.
Make the prompt more specific, keep the source data visible, and review the output before using it in a live workflow.
Make the prompt more specific, keep the source data visible, and review the output before using it in a live workflow.