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AI agent for online sellers

Marketing Feed Attribute Repair Agent

Product feeds accepted by every channel with true data.

Quality controlData cleanupMarketingOperations
See how it worksGet access
Marketing Feed Attribute Repair Agent: what goes in, what the agent does and what you get

What it does

Shopping channels reject product feeds when attributes are missing or invalid, and products disappear from listings. When a feed is rejected, or before it is submitted, this agent reads the rejection report and lists the failing attributes per product. It fixes each value from the authoritative product catalog only. If the catalog has no verified value, the item stays an exception for the product team; the agent never guesses colors, sizes or materials. It applies fixes in a staging feed, revalidates the records against the channel rules and checks that product counts match. Retail operations approves publishing. Edge case: a channel requires 'material' but the catalog has no verified value, so the item is listed as an exception.

How it works

Follow the arrows from top to bottom. The orange dashed arrow is the loop: when a check fails, the agent goes back and tries again.

Start and resultWhat it doesA check on its own workWaits for your OKGoes back and retries
Yes, continueYes, continueApprovedNoNo 1 STARTS WHEN Feed rejected or due for submission 2 USES A TOOL Read the rejection report 3 USES A TOOL List rejected attributes per product 4 CHECKS THE RESULT Does the catalog provide a verified value? If not: record an exception for the product team. Backto step 3. 5 USES A TOOL Apply fixes in a staging feed 6 CHECKS THE RESULT Do records pass validation and do counts match? If not: correct the failing records and revalidate. Backto step 5. 7 YOU APPROVE Retail ops approves publishing 8 RESULT Validated product-feed candidate
Read the steps as a list
  1. Feed rejected or due for submission
  2. Read the rejection report
  3. List rejected attributes per product
  4. Does the catalog provide a verified value?If not: record an exception for the product team. Back to step 3.
  5. Apply fixes in a staging feed
  6. Do records pass validation and do counts match?If not: correct the failing records and revalidate. Back to step 5.
  7. Retail ops approves publishingThe agent waits here for your OK.
  8. Validated product-feed candidate

How it decides

It fixes from catalog evidence only.

  • Fix only from verified catalog values.
  • Missing values stay exceptions, never guesses.
  • Product counts must match before submission.

Make it yours

Every agent is a starting point. You choose these settings for your own situation.

  • Channels and their attribute rules
  • Authoritative catalog source
  • Who receives the exceptions list
  • Submission schedule (default daily)

What keeps you in control

It always asks you first

  • Publishing feeds
  • Product claims

Hard limits

  • No guessed values.

It stops when

  • Done: valid.

Set it up

We guide you through the set-up, step by step

Members get the full set-up guide for this agent. No technical skills needed: you copy, paste and upload.

10 minto set it up in your AI
5 AIsChatGPT, Claude, Copilot, Gemini, Grok
  • One set of instructions to paste into your AI, with the clicks for ChatGPT, Claude, Microsoft 365 Copilot, Gemini and Grok
  • The agent then walks you through connecting your own data, one source at a time
  • A downloadable copy with the flow chart, the rules and the full guide
Get access to this agent

An example run

What happensOn 3 March the shopping channel rejects 212 of 4,800 products. The agent finds missing GTINs on 140 items and invalid sizes on 72. The catalog check fails for 18 items with no verified GTIN, so they become exceptions. It fixes the rest in staging. Revalidation shows 3 sizes still invalid due to a unit format; it corrects and reruns. Counts match. Retail ops approves publishing.

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