Product Feed Scan
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Product feeds for AI commerce

Prepare factual, well-structured catalog data and understand what a source audit can establish. Native feed compatibility, independent AI readiness and platform approval are separate questions.

Specification review

Last reviewed: 2026-09-17 · Implemented reference: 1.0

  • Official reference: support.google.com
  • Official reference: developers.openai.com
  • Official reference: developers.openai.com
  • Official reference: help.openai.com
  • Official reference: help.openai.com
  • Official reference: schema.org

Choose the right starting point

  • ChatGPT Ads Feed Checker for the native OpenAI format.
  • AI Shopping Readiness for independent coverage dimensions.
  • Product Feed Quality for general source checks.
  • Merchant Center feed errors for source diagnostics and their limits.
  • Scoring methodology for rules, versions and limitations.

Recent ChatGPT Ads updates and rollout guides

Practical guides

ChatGPT Ads product feed requirements

Start with the specification for the feed format you actually submit. Product Feed Scan checks a native OpenAI product file; passing this audit is not Ads approval.

ChatGPT Ads feed vs Google Shopping feed

Treat the two feeds as separate export contracts. Shared product facts can be reused, but field mapping, applicable checks and platform decisions must be reviewed separately.

AI shopping product data checklist

Review six areas: identity, content, taxonomy, variants, assets and optional enrichment. These are Product Feed Scan coverage dimensions, not a universal AI platform certification.

Product taxonomy for AI commerce

Category presence and category correctness are different checks. Product Feed Scan detects missing category context; selecting the right category still requires a catalog and destination-taxonomy review.

Product identifiers for AI commerce

Use stable item IDs for catalog records and genuine assigned identifiers where applicable. A valid-looking GTIN is not proof of ownership, and a feed ID is not the same as a product ID.

Product feed delivery errors vs data errors

First determine whether the receiver obtained the file. Delivery failure, parsing failure and product-data failure require different evidence. A successful local audit does not test SFTP or API delivery.

A safe improvement workflow

Scan the current export, review the actual findings, repair the source mapping and rescan. Check the destination separately. No audit score guarantees advertising acceptance, AI recommendations or additional sales.

Scan your feed See the sample report

Product Feed Scan

Product feed quality, made measurable.

ChatGPT Ads UpdatesAI Commerce GuidesMethodologyGTIN ValidatorAI Shopping ReadinessChatGPT Ads Feed CheckerProduct feed auditProduct feed checkerProduct feed validatorProduct catalog auditGoogle Shopping checkerXML validatorCSV auditProduct feed errorsProduct feed qualityMerchant Center errors
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