The Scenario
It's the third time this month you've had to explain to the shipping team why packages are bouncing back. The customer fill in their address at checkout, and the form accepts anything — "123 Main St" with no city, "New Yrok" with a typo, a zip code that belongs to a different state entirely. It all lands in column A of your fulfillment sheet, and nobody catches it until the carrier flags it on delivery.
You've been pulling suspect rows manually, checking them one at a time against a lookup tool, and typing corrections back in. Last Tuesday that was 40 rows. Next Friday, pre-holiday, it's going to be 400.
The bad version:
- Export the addresses from column A, paste them into an address verification site that lets you check 100 at a time, download the results, and try to match the corrected versions back to the right row in your original sheet
- For any address the tool flags as undeliverable, open the customer record in your order management system, check whether there's a phone number to call, and update the sheet by hand
- Repeat for the next 100 rows, starting over each time because the tool doesn't remember your previous session
Running this drill every week is the kind of work that eats the middle of your afternoon without leaving anything you can show for it. The shipping team is waiting on you. The carrier window closes at 3 PM. And you're on paste number seven.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that lives inside your Google Sheet. It reads the data, calls Google Address Validation for each row, and writes the results directly back into the columns you specify — no export, no reconciliation, no third-party interface to manage.
For each address in column A of my Google Sheet, validate it using Google Address Validation and write the standardized address into column B and the deliverability verdict (DELIVERABLE, UNDELIVERABLE, or UNCONFIRMED) into column C
What You Get
- Column B filled with standardized addresses in the format Google's API returns — consistent capitalization, full street abbreviations expanded, postal codes corrected where the API can infer the right value
- Column C showing DELIVERABLE, UNDELIVERABLE, or UNCONFIRMED for every row that had an address in column A
- Rows with blank addresses in column A left untouched
- Any row where the API returned an error surfaced with an error note in column C so nothing silently disappears
What If the Data Is Not Quite Ready
The addresses include extra text that throws off validation
Some rows have apartment numbers appended as free text ("123 Main St apt 4B Chicago"), some have country codes at the end, some have notes from the ops team mixed into the field.
For each row in column A of my Google Sheet, strip any text after a double space or after a country name, then validate the cleaned address using Google Address Validation and write the standardized result to column B and the verdict to column C
Some rows are missing a city or state
The checkout form didn't require city and state separately — some customers just typed a zip code, or the city but not the state.
Validate the address in column A for each row in my Google Sheet — if the city or state appears to be missing, attempt to infer it from the zip code before validating, then write the standardized address to column B, the verdict to column C, and a note to column D if the city or state had to be inferred
Addresses are split across multiple columns
The form collected street, city, state, and zip in separate columns B through E and you need them assembled and validated as a unit.
For each row in my Google Sheet, assemble the full address from columns B (street), C (city), D (state), and E (zip), validate it using Google Address Validation, write the standardized full address to column F, and write the deliverability verdict to column G
Clean, validate, flag duplicates, and write a final status in one pass
Before the Friday shipping run, you want to remove duplicate addresses, validate what remains, and mark each row with a final disposition.
In my Google Sheet, first identify and mark duplicate addresses in column A by writing "DUPLICATE" in column D for any row that shares an address with an earlier row, then validate the non-duplicate addresses using Google Address Validation, write the standardized address to column B, the verdict to column C, and skip the duplicate rows entirely
The move is to ask for the cleanup and the validation in the same prompt — you get a single pass through the data instead of two separate runs to reconcile.
Try It
Get the 7-day free trial of SheetXAI and open your fulfillment sheet, then ask it to validate the addresses in column A and write the verdicts to column C. Link to the hub: How to Connect Google Address Validation to Google Sheets. Related: Geocode and Standardize Leads from a Google Sheet.