How an AI assistant can fix a product feed safely
A step-by-step example of reading a feed audit, proposing a rule, reviewing its impact and leaving source-data decisions with a person.
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Practical guides to cleaner product feeds: what Google and Meta require, how to fix recurring problems, and how to let an AI assistant help without giving up control.
A step-by-step example of reading a feed audit, proposing a rule, reviewing its impact and leaving source-data decisions with a person.
Why product-feed fixes drift into spreadsheets, and how one audited rule stack keeps diagnosis, change and delivery together.
AI shopping systems lean on structured product data when they compare and recommend. A practical look at what that changes for stores, and the groundwork worth doing now.
Most Merchant Center disapprovals trace back to a handful of data problems: identifiers, titles, images, availability, and price. What each one costs, and how to fix it for good.