How many of your products are disapproved in Merchant Center right now? If you cannot answer that in 5 seconds, you are checking the wrong way. Ooty pulls every disapproval reason, item-level issue, and data quality flag for your entire feed into ChatGPT, Gemini, or Claude. Audit hundreds of SKUs in one prompt and get a prioritised fix list.
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Elena Vasquez
Owner, Casa Bonita Home (Shopify store, 180 products)
“I screenshot my Merchant Center disapprovals and paste them into ChatGPT asking "why are these rejected?" but it misreads the error codes from the image. I end up typing each one out manually.”
This is what it looks like in Gemini
Replace the {placeholders} with your details, then paste into ChatGPT, Gemini, or Claude.
How many of my products are approved vs disapproved in Merchant Center, and what are the top 3/5/10 disapproval reasons?
Returns a product status summary with grouped disapproval reasons.
Show me my disapproved products for the Shopping/Display/Free Listings destination and list the specific issues.
Filters to Shopping destination and surfaces item-level data quality problems.
Which of my products have item-level issues that could affect their delivery in Performance Max?
Flags products with non-critical issues that may reduce reach in Shopping and PMax campaigns.
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Product disapprovals in Google Merchant Center are one of the most frustrating problems in ecommerce advertising. A single data quality issue can take a product offline for days. Multiply that across a catalogue of hundreds or thousands of SKUs, and the revenue impact adds up fast. The most common disapproval reasons are missing GTIN/UPC codes, mismatched prices between your feed and landing page, prohibited claims in titles or descriptions, and image quality issues.
Google's disapproval categories split into two levels: hard disapprovals (product cannot serve at all) and warnings (product serves with reduced reach). Warnings are insidious because they do not trigger obvious alerts. Your product still appears in some auctions, but Google throttles its visibility. An account with 50 products carrying data quality warnings might look healthy on the surface while leaving significant impression share on the table.
The fix-prioritisation order matters. Start with products that have the highest revenue potential and the simplest fix. A best-selling SKU disapproved for a missing GTIN can be resolved in minutes. A product flagged for misleading claims requires copy rewrites and re-review, which takes longer. Batch updates are your friend here. If 20 products share the same issue (say, missing shipping weight), fixing the feed template once resolves all 20. The key is visibility into the full scope of the problem before you start fixing individual items. Checking product status one ASIN at a time in Merchant Center is the least efficient approach possible.
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