The Scenario
You are a brand manager at a consumer goods company. Someone in the marketing team distributed 40 product images last quarter to a set of authorized partners. The license terms are specific: images may only appear on approved partner domains.
A stakeholder from legal just Slacked you asking whether your images are appearing on unauthorized sites. You have no idea. Nobody has checked since the images went out.
You have an Excel workbook with 40 product image URLs in column A. You need to know, for each one, which web pages are using it.
The bad version:
- Open Google Images, drag the first image file into the search bar, note the pages that appear.
- Switch to the workbook, paste the URLs from the results into column B.
- Go back to Google Images, drag the second image.
- Repeat 38 more times — or until you lose track of which image you're on.
Forty reverse image searches. By hand. With no audit trail.
Legal wants a spreadsheet. You have a tab-switching exercise.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent inside your Excel workbook. It reads the image URLs in column A, runs a Zenserp reverse image search for each one, and writes the matching pages back into adjacent columns.
Perform a reverse Google image search for each image URL in column A using Zenserp and populate this Excel sheet with the top 5 matching page URLs and titles for each image
What You Get
- Column B: URL of the first matching page
- Column C: page title of the first matching page
- Columns D and E: same for the second match
- Continues through however many results Zenserp returns per image
- Images with no matches get "no results" in column B
What If the Data Is Not Quite Ready
Image URLs in column A are internal storage paths, not public URLs
Some URLs point to your internal CDN with access restrictions. Zenserp needs publicly accessible image URLs to run a reverse search.
For each image URL in column A, check if it starts with the internal CDN domain. If it does, note "internal URL — cannot search" in column B. For all other rows, run a Zenserp reverse image search and write the top 3 matching page URLs into columns B through D.
You only want to flag matches that appear on non-approved domains
Column B in a worksheet called "ApprovedDomains" has the list of partner sites where the images are licensed to appear.
For each image URL in column A, run a Zenserp reverse image search and collect all matching page URLs. Check each result URL against the approved domain list in column B of the ApprovedDomains worksheet. Write any matching page URL that does NOT appear on an approved domain into column B of this worksheet, and mark column C with "unauthorized."
Some images are resized versions and may not match exactly
The distributed images were sent in multiple resolutions. You want to know if reverse image search returns significantly different results for large vs. thumbnail versions.
For each image URL in column A, run a Zenserp reverse image search and write the number of matching results into column B. Then do the same for the corresponding thumbnail URL in column B and write that result count into column C. Flag rows where the two counts differ by more than 5 with "coverage gap" in column D.
Full pipeline: search, filter unauthorized, summarize by domain
For each image URL in column A, run a Zenserp reverse image search and collect matching page URLs. Filter out any URL whose domain appears in the ApprovedDomains worksheet. Write each unauthorized URL into a new row in a worksheet called "Unauthorized Results," with the source image URL in column A and the unauthorized page URL in column B. After processing all images, count unique unauthorized domains and write a summary table to the "Summary" worksheet.
One prompt, from search to organized evidence.
Try It
Get the 7-day free trial of SheetXAI and open your product image audit workbook, then ask it to run reverse image searches via Zenserp for every URL in column A. For monitoring keyword rankings rather than image placement, the bulk SERP results spoke covers that workflow.