The Scenario
The demand generation manager inherited the list on a Tuesday. Ten thousand rows, all emails, zero classification data — and the sales team expects a cleaned, outreach-ready version by end of week.
She's done this before. The bad version goes like this:
The bad version:
- Save the email column as a CSV, upload to Clearout, wait for the verification job to complete.
- Download the results file, open it alongside the original workbook, manually VLOOKUP the statuses back in.
- Delete rows marked invalid or disposable, update a count cell somewhere, send the updated file to the sales lead.
Every step is a handoff between tools, a chance for the row order to shift, or a formula to break. And then someone asks "wait, did we include the catch-all addresses?" and the whole process restarts from the download step.
There is a version of this that stays inside the workbook. The list is already there. The column is already labeled. Doing the work twice — once in Clearout, once back in Excel — is a structural tax the job doesn't actually require.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that lives inside your Excel workbook. It reads the data, connects to Clearout's bulk verification API, and writes the results directly back into the columns you specify. No CSV export, no download, no reconciliation.
Verify all emails in column A using Clearout bulk verification and write the verification status, sub-status, and whether the address is free, role-based, or disposable into columns B, C, and D.
What You Get
- Column B: verification status for each address — "valid," "invalid," "catch-all," or "unknown"
- Column C: sub-status detail (e.g., "mailbox_not_found," "smtp_error," "accept_all")
- Column D: boolean flag — whether the address is a free-provider account (Gmail, Yahoo, Outlook, etc.)
- Column E (if requested): boolean flag for role-based accounts (info@, support@, sales@, etc.)
- Any addresses Clearout could not classify get a "timeout" or "unknown" label rather than a silent skip
What If the Data Is Not Quite Ready
Some emails have trailing spaces or inconsistent capitalization
Clean all values in column A — trim whitespace and lowercase every address — then verify the full list with Clearout and write status, sub-status, free-provider, and disposable flags into columns B, C, D, and E.
The list has duplicate addresses and I only want to verify each one once
Deduplicate column A by email address (keep the first occurrence), then run Clearout verification on the unique set and write results into columns B through E, matching back to the original rows.
The email column is mixed in with name and company data across multiple columns
Using the email addresses in column C (ignoring columns A and B), run Clearout bulk verification and write status into column D, sub-status into column E, and the free-provider flag into column F.
Clean, count, and summarize the whole list in one pass
Verify all emails in column A with Clearout, delete every row where status is "invalid" or "disposable," mark catch-all rows with "risky" in column F, and write a summary at the bottom of the sheet: total verified, total deleted, total marked risky, total remaining.
Asking for the cleanup and the summary in a single prompt means the numbers in the summary reflect the actual state of the workbook — not a count you ran before the deletes happened.
Try It
Get the 7-day free trial of SheetXAI and open any Excel workbook with a contact list or import dump — even one with thousands of rows — and ask it to verify and classify the emails with Clearout. When you're done, see how the same workflow handles removing non-business emails or check the Clearout hub for the full set of verification tasks available inside a workbook.