The Scenario
You manage email marketing operations for a SaaS company. A web form has been live for six weeks and collected just over 5,000 email addresses into an Excel workbook — a mix of real users, typos, disposables, and honeypot captures you'd rather not find out about after the bounce rate climbs. Your ESP penalizes you hard when undeliverable addresses start piling up, and your next campaign is scheduled for Thursday.
The bad version:
- Export the worksheet as a CSV, upload to Emailable's dashboard, wait for the job to finish, download the results CSV, and then try to match the output rows back to the right rows in your original workbook — which someone else added twelve new rows to while you were waiting.
- Re-export with the new rows included, re-upload, wait again.
- Paste the deliverability and risk columns back manually, fix the misaligned rows that shifted when the new entries were added, and recheck your work.
You have 80 leads from this batch that marketing already committed to a nurture sequence starting Friday. The whole job needs to be done and clean before end of day Wednesday. Manual re-matching across a 5,000-row file isn't a process — it's a gamble.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that runs inside your Excel workbook. It reads the sheet, connects to Emailable's API, submits the verification job, waits for the results, and writes them back to the right columns — without you exporting anything or touching a second tool.
Here's the prompt for this task:
Take every email in column A of my Excel sheet, send them all to Emailable's bulk verification endpoint, and once the job completes write the result (deliverable/risky/undeliverable) and reason code back to columns B and C.
What You Get
- Column B populated with one of three values: "deliverable," "risky," or "undeliverable" — matched to every row in column A.
- Column C populated with the reason code Emailable returns for each address.
- Any rows where Emailable returned an error or timeout noted distinctly so you can inspect them rather than assuming they passed.
- The original column A untouched — results land beside it, not over it.
What If the Data Is Not Quite Ready
Some emails have leading or trailing spaces from the form import
Before submitting to Emailable, trim whitespace from every value in column A, then run the batch verification and write deliverability status and reason code to columns B and C.
The workbook has emails split across two worksheets — the main form and a manually added overflow sheet
Combine the email addresses from column A of the "Form Submissions" sheet and column A of the "Manual Adds" sheet into a single batch verification job with Emailable. Write the deliverability status and reason code back to column B and C on each respective sheet, matched to the original row.
You only want to verify addresses that haven't been checked before — column B already has results for about half the list
Submit only the emails in column A where column B is blank to Emailable as a batch verification job. Once complete, write the deliverability status and reason code into the blank cells in columns B and C, leaving the existing results untouched.
You need the full cleanup and import decision in one pass before Thursday's send
Trim all emails in column A, filter out obvious duplicates, submit the remaining addresses to Emailable batch verification, and once results are back, write the deliverability status to column B, the reason code to column C, and a send recommendation ("include," "hold," "remove") to column D based on the Emailable status.
Each of these prompts chains the cleanup and the action together so you're not doing two separate operations and reconciling the output.
Try It
Open your web-form capture workbook and get the 7-day free trial of SheetXAI — ask it to run the Emailable batch job on your email column and write back statuses before your next campaign goes out. Also see: Verify Individual Emails and Enrich With Metadata and the Emailable integration hub.