Copy-paste formulas to check email format in Google Sheets
Paste a formula into row 2, test on a few rows, then drag down.
Syntax valid?
A: email
=GPT("Is this a syntactically valid email address? Answer valid or invalid, then a 4-word reason. Email: " & A2)
Role or disposable?
A: email
=GPT("Flag if this email is a role address (info@, sales@) or a likely disposable domain. Return role, disposable, or normal. Email: " & A2)
Likely typo
A: email
=GPT("Does the domain look like a typo of a common provider (e.g. gmial.com)? Suggest the correction or none. Email: " & A2)
Short answer
Email format checking in Sheets means validating syntax, flagging role-based or disposable addresses, and catching likely typos before you send. Simple formulas handle structure while GPT for Sheets flags judgment calls like ‘gmial.com’ or ‘info@’ role inboxes.
Fastest path: Install GPT for Sheets → add a syntax-check column → add the AI flag formula → review → filter out bad rows.
This page is for ops and lifecycle teams cleaning lists before a send. This checks format and plausibility only; it does not verify that a mailbox exists or accepts mail, so treat results as risk flags, not deliverability guarantees.
Workflow
A practical sheet for this workflow usually has these columns:
| Column | What to put there | Why it matters |
|---|---|---|
| A | Row anchor | |
| B | Syntax valid? | Basic structural check |
| C | Role address? | Flags info@, sales@, etc. |
| D | Likely typo? | Catches misspelled domains |
| E | Risk label | Overall keep/review/drop |
| F | Notes | Why it was flagged |
Check structure first
Use a regex-style formula or a simple GPT check to confirm each address has a valid local part, single @, and a plausible domain. This removes the obviously broken rows before any judgment calls.
Flag judgment cases with AI
Ask the model to flag role inboxes, disposable domains, and likely typos such as ‘gmial.com’ or ‘hotnail.com’, returning a risk label and a short reason. Filter or review by risk, but remember this does not confirm the mailbox is live.
Use cases
- Pre-send cleanup: drop malformed addresses.
- Risk scoring: label role and disposable inboxes.
- Typo recovery: suggest domain corrections.
- List segmentation: route risky rows to review.
- QA: keep a notes column for every flag.
Best for / not best for
Best for: Ops and lifecycle teams that clean email lists in Google Sheets and want fast format and plausibility checks before a send.
Not best for: confirming deliverability or that a mailbox exists; this is format and risk flagging only and does not replace a verification service or SMTP check.
The strongest use case is a quick pre-send pass that removes broken addresses and flags risky ones, reducing bounces without claiming to guarantee deliverability.
Internal links and next workflows
- GPT for Sheets product page
- GPT for Sheets pricing
- AI lead enrichment guide
- Categorize leads by industry
- Apollo export enrichment
- ICP fit scoring in Google Sheets
Safety, compliance, and data quality
This checks format and plausibility only and does not confirm that a mailbox exists or accepts mail. Treat results as risk flags, not deliverability guarantees, and verify with a real validation service before high-volume sends.
Frequently Asked Questions
Does this verify the mailbox exists?
No. It checks syntax and plausibility and flags risky patterns, but it does not confirm that an address is live or accepts mail. Use a verification service for that.
Can it catch domain typos?
Yes. The typo formula flags likely misspellings of common providers, like gmial.com, and can suggest a correction for you to review.
Should I auto-delete flagged rows?
Filter and review instead. Role addresses and some flagged rows may still be valid targets depending on your use case, so keep a human in the loop.
Will this stop all bounces?
No. It reduces obvious risks but makes no deliverability guarantee; combine it with real verification and good list hygiene.
Start cleaning email lists in Google Sheets
Add a syntax-check column, install GPT for Sheets, and flag risky addresses before your next send, right where your list lives.