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Clearout · Excel Guide

Find Verified Business Emails From Names in an Excel workbook Using Clearout

2026-05-14
5 min read

The Scenario

You scraped 500 LinkedIn profiles into an Excel workbook. Column A is first name, column B is last name, column C is company. That's it. No emails.

The cold outreach campaign is built. The sequences are ready. All that's standing between you and launch is 500 verified email addresses.

The bad version:

  • Copy the name and company columns, paste them into Clearout's email finder tool in batches.
  • Wait for the job, download the results CSV.
  • Open the CSV and the original workbook side by side, figure out which rows matched, paste the found emails back in, note which rows came back empty.
  • Start a separate review pass for the rows where nothing was found.

By the time you've worked through all that, the sequence that was supposed to go out this week has slipped to next week, and the leads are a week colder.

The list exists. The tool exists. The only thing in the way is the back-and-forth between two separate interfaces.

The Easy Way: One Prompt in SheetXAI

SheetXAI is an AI agent that lives inside your Excel workbook. It reads the name and company columns, calls Clearout's bulk email finder for each row, and writes the found email and confidence score back into the columns you specify — without leaving the workbook.

Use Clearout to find verified email addresses for every row in this workbook using first name in column A, last name in column B, and company name in column C — write the found email and confidence score into columns D and E.

What You Get

  • Column D: the found email address for each row, or blank if Clearout couldn't find one
  • Column E: a confidence score from 0–100 indicating how reliable the match is
  • Rows where no email was found are left blank rather than silently dropped
  • The result lands in the same workbook, same row order, no reconciliation needed

What If the Data Is Not Quite Ready

Some company names are messy or abbreviated

Before running Clearout email finder, clean column C — strip trailing punctuation, expand common abbreviations like "Inc" and "Corp" — then find emails for every row using columns A, B, and C and write results to columns D and E.

I want to flag the low-confidence rows so I can skip or manually verify them

Run Clearout bulk email finder on all 500 rows using columns A, B, and C — write the found email into column D and confidence score into column E, then flag any row where the confidence score is below 80 with "low confidence" in column F.

Some rows are missing a last name

For rows where column B is blank, run Clearout email finder using only first name and company (columns A and C) — write the found email into column D, confidence into column E, and mark these rows as "first-name-only match" in column F.

Find emails, flag the risky ones, and build a send-ready list in one pass

Use Clearout to find emails for all rows using columns A, B, and C — write found email to column D and confidence to column E. Delete any row where no email was found, mark rows with confidence below 70 as "skip" in column F, and write the total count of outreach-ready rows at the bottom.

One prompt, one pass. The workbook that comes out is the one you send.

Try It

Get the 7-day free trial of SheetXAI and open any Excel workbook with prospect names and company columns — even one scraped from a directory or conference list — and ask it to find verified emails with Clearout. You might also want to enrich those emails with person data next, or explore everything else in the Clearout hub.

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