The Scenario
Someone on your outbound team pulled 800 contacts from a B2B data tool — all in a Google Sheet, company name in column B, email in column A. The contacts look fine individually, but when you start scanning the domains you recognize a few patterns that worry you: four contacts share a domain that you've bounced from before, another cluster is on a domain that your ESP flagged last quarter, and there are at least a dozen domains you've never heard of at all.
The bad version:
- Use a formula to extract the domain from each email address, build a unique list in a separate column, then manually check each unfamiliar domain in Bouncer's dashboard one at a time
- Cross-reference the domain results back to your original contact rows using a VLOOKUP that breaks on three domains because of inconsistent capitalization
- Flag the affected rows with a manual color fill, lose track of which domains you actually checked, and realize you forgot to account for subdomains
Flagging 120 domains by hand is not a productive use of the two hours before the sequence launches. Your job is to decide which contacts get into the drip — not to run lookups.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that lives inside your Google Sheet. It reads your contact data, extracts unique domains, submits them to Bouncer's domain verification API, and flags every affected contact row — no formulas, no manual lookup table.
Extract all unique domains from the emails in column A, verify each with Bouncer's domain check, and add a Domain Status column flagging any contact whose domain has no valid MX record or is a catch-all.
What You Get
- A new column appears with a status label per row: Valid, Catch-All, Invalid, or Unknown
- Each contact row gets the status of its domain — not just the domain row, but every contact on that domain
- Contacts on catch-all or invalid domains are immediately filterable without any additional formula
- You can see at a glance how many contacts share each domain and which domains are the problem
What If the Data Is Not Quite Ready
The emails have inconsistent capitalization or spacing that would break domain extraction
Normalize all emails in column A to lowercase and trim whitespace, then extract unique domains, verify each with Bouncer, and write a Domain Status column for every contact row.
You only want to flag the catch-all domains, not invalid ones
Run Bouncer domain verification on all unique domains in column A, add a Domain Status column, and highlight in orange only the rows where the domain is a catch-all — leave all other rows unmarked.
Your contacts span multiple tabs and you need to check domains across all of them
Check the emails in column A across Sheet1, Sheet2, and Sheet3 — extract all unique domains, verify each with Bouncer, and write a Domain Status column to each sheet using the shared domain results.
Full domain audit before sequence enrollment
From column A: extract unique domains, run Bouncer domain verification, group contacts by domain, flag all catch-all and invalid domain rows in orange, move flagged rows to a new sheet called Risky Contacts, and give me a summary of how many contacts were flagged and why.
One prompt replaces the formula chain, the manual lookup, and the copy-paste into a separate tab.
Try It
Get the 7-day free trial of SheetXAI and open the Google Sheet where your outbound contacts live. Ask it to run Bouncer domain verification and flag the risky domains — before the sequence launches. For row-level address checks, see how to verify individual emails with real-time single-email verification or return to the Bouncer integration overview.