The Scenario
You're an SDR at a B2B software company. A list of 2,500 inbound leads just landed in your sheet from a webinar registration form — names, companies, emails. Your job is to get this into the CRM before Monday's outreach sequence starts.
But you've been burned before. You imported a list without filtering it, and three weeks later the account manager is complaining that half the replies are coming from support@ addresses and Gmail accounts that clearly aren't decision-makers.
The bad version:
- Export the list, run it through Clearout's dashboard, download the results.
- Open the results file, manually scan the "is_free_provider" and "is_role" columns, build a filter in Excel, delete the rows, paste the survivors back into the original sheet.
- Hope the row numbers still match.
That's the optimistic version. The version where you forget to save a copy before deleting things goes differently.
You don't have time to rebuild the list from scratch if something breaks. The CRM import has a slot. The sequence starts Monday.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that lives inside your Google Sheet. It reads the list, calls Clearout's classification API for every email, and writes the results back into the columns you name — then applies the filter logic you describe, in one pass.
For each email in column A, use Clearout to check if it is a free-provider account and a role-based account — write the results into columns B and C, then mark any row where either is true as "remove" in column D.
What You Get
- Column B: "true" or "false" — whether the address is a free-provider account (Gmail, Yahoo, Hotmail, etc.)
- Column C: "true" or "false" — whether the address is a role-based account (info@, support@, noreply@, etc.)
- Column D: "remove" for any row where column B or C is true; blank for rows that pass both checks
- The classification happens row by row, so you can filter column D and review before deleting
What If the Data Is Not Quite Ready
The email column has some blanks I want to skip
For each non-empty email in column A, use Clearout to check free-provider and role-account status — write results to columns B and C, mark rows that fail either check with "remove" in column D, and leave blank rows untouched.
I also want to know which addresses are straight-up invalid before I filter
Run Clearout verification on all emails in column A — write status into column B, free-provider flag into column C, role-account flag into column D, then mark column E as "remove" for any row where status is invalid OR free-provider is true OR role-account is true.
Some company names use a shared domain and I'm not sure if those should be removed
For every row in column A, check free-provider and role-account status with Clearout and write results to columns B and C. For any email where the domain matches a known free-provider list but the company name in column D suggests it might be legitimate, flag it as "review" in column E instead of "remove."
Delete the bad rows and import the clean list in one shot
Check every email in column A for free-provider and role-account status with Clearout, automatically delete rows flagged as either, write the count of removed rows at the bottom of column A, and show the final count of clean contacts remaining.
Combining the classification and the deletion in one prompt means the clean list is ready the moment the prompt finishes — no separate filter step, no manual delete.
Try It
Get the 7-day free trial of SheetXAI and open your next inbound lead sheet — even one that just came in from a form — and ask it to strip out the free-provider and role accounts before the CRM import. See also Bulk Verify an Email List for full classification, or head back to the Clearout hub for the full picture.