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Genderize.io · Google Sheets Guide

Add Gender Predictions to a List of Names in Google Sheets

2026-05-13
5 min read

The Scenario

You're a direct mail coordinator at a B2B services company. You have 4,000 customer first names sitting in column A of your Google Sheet — pulled from your CRM export before the quarterly print run. Your job is to add a gender column so the mail-merge template can auto-assign "Mr." and "Ms." salutations before the batch goes to the printer. The job has to be done by end of day. The print vendor does not wait.

The bad version:

  • You paste the first 50 names into the Genderize.io web tool and copy the results by hand
  • You realize you need to track confidence scores too, so you rebuild the column with a second pass
  • You skip the low-confidence rows because you're not sure what to write, then your manager asks why 300 rows are blank

You don't have time for that.

The Easy Way: One Prompt in SheetXAI

SheetXAI is an AI agent inside your Google Sheet that reads the data and talks to Genderize.io for you. No mapping, no automation, no copy-paste.

Open the SheetXAI sidebar and type:

For every first name in column A, call Genderize and write the predicted gender and probability into columns B and C — leave column B blank if probability is below 0.75.

What You Get

  • Column B filled with "male" or "female" for every name where Genderize returned a confidence score at or above 0.75
  • Column C filled with the raw probability score for each name, so you can audit borderline rows
  • Rows where confidence is below the threshold left blank in column B — flagged, not guessed

What If the Data Is Not Quite Ready

When the name column includes full names instead of first names only

For every entry in column A that contains a full name, extract the first name and use that to call Genderize — write the predicted gender to column B and the probability to column C.

When you have a country code column that should improve accuracy

Use Genderize to predict gender for all names in column A, pass the country code from column C where it's not empty, and write the predicted gender and confidence to columns D and E.

When you only want to enrich rows that are missing a gender value

For every row in the sheet where column B is blank, call Genderize with the first name in column A and write the predicted gender and probability into columns B and C — skip rows where confidence is below 0.80.

When you want it all in one shot

For all 4,000 rows in this sheet: extract the first name from column A (trim any trailing last name), call Genderize with the name and the country code from column C, write "male" or "female" to column B only if confidence is 0.75 or higher, and write the probability to column C — flag low-confidence rows with "unresolved" instead of leaving them blank.

The pattern: instead of cleaning the data first and then calling Genderize, you ask for both in one prompt.

Try It

Get the 7-day free trial of SheetXAI and open any Google Sheet with a name column. Ask it to enrich the names with Genderize predictions and confidence scores. The Genderize.io integration is included in every SheetXAI plan. For related tasks, see the Genderize.io in Google Sheets overview.

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