The Scenario
The campaign brief says 30,000 sends. Your list has 1,500 collected emails — conference badge scans, webinar sign-ups, gated content downloads. A colleague who ran a similar campaign six months ago ended up with a 12% bounce rate and got the sending domain flagged. You'd like to not repeat that.
You open the Excel workbook. Column C has the emails. Some are corporate addresses, some are Gmail, some are clearly disposable. You have no way to tell at a glance which ones will hard-bounce.
The bad version:
- Export the column to CSV, paste it into a standalone email validation tool, wait for the batch to process, download the results, and then spend 20 minutes aligning the flags back to the original workbook by email address using VLOOKUP.
- Notice that the VLOOKUP matched on a case-sensitive basis and half the rows returned blank because someone typed "GMAIL.COM" instead of "gmail.com" in the source list.
- Wrap in LOWER(), re-check the merge, and verify the alignment is actually correct this time.
The campaign briefing is tomorrow morning. There is no version of this workflow that fits comfortably into today's schedule.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that lives inside your Excel workbook. It reads the worksheet, understands what you're looking at, and through its built-in Addressfinder integration it can run email verification on every row and write the results back directly — no export, no re-import, no VLOOKUP.
For every email in column C, call the Addressfinder email verification API and add a VALID/INVALID/RISKY flag in column D
What You Get
- Column D: a VALID / INVALID / RISKY classification for each email
- VALID means syntax is clean, domain exists, and the mailbox is reachable
- INVALID means the address failed at the syntax or domain level — hard bounce territory
- RISKY means the mailbox exists but is flagged as a catch-all, role address, or disposable domain — soft bounce or engagement risk
- Any row where column C is blank is skipped and left empty in column D
What If the Data Is Not Quite Ready
The email column has mixed casing and whitespace
Trim whitespace and normalise all emails in column C to lowercase before running Addressfinder email verification — write the cleaned email to column C and the VALID/INVALID/RISKY flag to column D
You need the domain status and error reason as separate columns
Validate all email addresses in column B using Addressfinder and write the verification result, domain status, and any error reason to columns C, D, and E
Some rows have two emails in the same cell separated by a semicolon
For rows in column C that contain two emails separated by a semicolon, verify each one separately using Addressfinder — write the first result to column D and the second to column E. Flag the row in column F if either one returns INVALID.
Clean, verify, segment, and suppress in one pass
For emails in column C: trim whitespace, lowercase, then verify each one with Addressfinder. Write the flag to column D. In column E, add a SUPPRESS label for any row flagged INVALID or RISKY, and leave column E blank for VALID addresses. Add a row count at the bottom showing how many are in each category.
You can fold the cleanup, verification, segmentation, and suppression labelling into one prompt instead of running them as four separate steps.
Try It
Get the 7-day free trial of SheetXAI and open your prospect workbook, then ask it to run Addressfinder email verification on your email column before the next send. For phone number verification on the same list, see enriching leads with phone line types, or go back to the hub overview.