The Scenario
The dialing campaign starts Monday. Your sales ops coordinator loaded 1,500 phone numbers into the Google Sheet from three different lead sources — a webinar registration form, a data vendor CSV, and a manual entry tab one of the reps filled out on the road. The numbers are in column A, formatted differently across all three sources: some with country codes, some without, some with dashes, some with parentheses.
Your call center manager needs to know, before the campaign starts, which numbers are valid mobile lines and what carrier they belong to.
The bad version:
- Export the sheet, find a phone validation tool that accepts bulk uploads, wait for the results file
- Download results, open alongside the sheet, attempt to match by phone number string — fail because the formatting differences mean the same number appears differently in each file
- Normalize the formats by hand, re-match, paste the carrier column across, discover that 40 rows are still unmatched
The campaign starts in two days. This process has already eaten half of one of them.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent inside your Google Sheet. It reads column A, handles the formatting normalization, and through its built-in Neutrino integration runs phone validation on every row — returning validity, number type, and carrier into the columns you specify.
Validate each phone number in column A using Neutrino and put valid (TRUE or FALSE) in column B, the number type (mobile, landline, or voip) in column C, and the carrier name in column D. Normalize formatting differences before validation.
What You Get
- Column B: TRUE or FALSE for every row — no ambiguous blanks
- Column C: number type — mobile, landline, or voip — so you can filter the dialing list to mobile-only before the campaign
- Column D: carrier name — useful for identifying ported numbers and targeting decisions
- Formatting normalization happens before validation so mixed-format data doesn't cause false negatives
What If the Data Is Not Quite Ready
Some rows have two phone numbers in the same cell
For each row in column A, if the cell contains two phone numbers separated by a slash or comma, take the first one, validate it with Neutrino, and write the result to columns B, C, and D. Flag any row where a second number was present with MULTI in column E.
You only want to keep confirmed mobile numbers
Validate all phone numbers in column A with Neutrino. Write the number type in column B and carrier in column C. Then delete all rows where column B is not "mobile" and add a note in a summary cell above the data showing how many rows were removed.
You need to separate by country before validation
For each phone number in column A, identify the country code and write it in column B. Then validate each number with Neutrino and write valid (TRUE or FALSE) in column C, the number type in column D, and the carrier in column E.
Full dialing-list cleanup in one shot
Normalize all phone numbers in column A, remove duplicates, validate each with Neutrino, write valid/invalid in column B, number type in column C, carrier in column D, and produce a summary at the bottom of the sheet showing the count of mobile, landline, voip, and invalid numbers found.
Every step is handled in a single prompt — the cleanup and the API call don't need to be separate operations.
Try It
Get the 7-day free trial of SheetXAI and open your dialing list, then ask SheetXAI to run Neutrino phone validation on column A before your campaign kicks off. See also the HLR lookup spoke if you want to go further and confirm which mobile numbers are currently active on a network.