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Platform Compliance And Rules

Does Google Shopping policy accept AI-generated product images?

3 min read

Quick Answer

Yes. Google Merchant Center permits generative-AI images in the image_link, additional_image_link, and lifestyle_image_link fields used for Shopping ads and free listings, provided they carry the required IPTC metadata and follow Google's ordinary image and accuracy rules. Since July 2026, Merchant Center also offers an AI label setting for images created or edited with AI; disclosures may appear on the ad itself where local rules require them.

What AI metadata does Google Merchant Center require?

Google says every image created with generative AI must contain the IPTC DigitalSourceType value TrainedAlgorithmicMedia. The requirement applies to the main image, additional images, and the dedicated lifestyle-image field. Google also says not to remove embedded source metadata added by tools such as Product Studio.

Google's page lists three IPTC NewsCodes that may be embedded in an image:

IPTC DigitalSourceType valueGoogle's definition
TrainedAlgorithmicMediaCreated using a model derived from sampled content. This is the value Google's rule expressly requires for generative-AI images.
CompositeSyntheticA composite that includes synthetic elements.
AlgorithmicMediaCreated purely by an algorithm that was not based on sampled training data.

Do not treat CompositeSynthetic or AlgorithmicMedia as substitutes for the expressly required TrainedAlgorithmicMedia value when a generative model created the image. With a third-party image tool, verify the embedded metadata in the final file served by the image URL, after export, compression, and hosting.

Does Google require a visible AI label on product images?

Google's Merchant Center AI label setting lets a seller mark an image or video as created or edited with AI. The designation adds a disclosure to the "How this ad was made" panel globally, and Google may show a visible label on the ad in regions that require one. Google may also label an asset based on other signals or when its own automated tools created it.

The visible-label workflow is separate from the IPTC requirement. Google does not say that every AI product image needs a visible badge in every market, and it warns that using its label setting does not by itself establish legal compliance. Sellers should check the laws that apply where their ads and listings appear.

Which ordinary image rules still apply to AI product images?

AI imagery must still satisfy Google's main-image requirements and Misrepresentation policy. The most important distinctions are:

  • Requirements: show the product accurately; keep the view unobstructed; exclude promotional text, watermarks, borders, placeholders, and unrelated graphics; and meet the current minimum dimensions.
  • Recommendations: a solid white or transparent background and product fill between 75 and 90 percent are best practices, not universal approval requirements. Google expressly allows staged or lifestyle main images that clearly show the product, but advises against unrelated products, thumbnails, and artificially enlarged files.
  • Size transition: prepare images at least 500 by 500 pixels. Google's current image-link guidance already lists that minimum, while the 2026 Merchant Center specification update sets January 31, 2027 as the enforcement date across all product categories and marketing methods. Warnings for smaller images began on April 14, 2026.

An AI image can also be disapproved if it invents a feature, shows the wrong variant color, adds accessories that are not included, or redraws packaging text and logos inaccurately. Google's Misrepresentation policy requires offers to present products in an accurate, realistic, and truthful way, regardless of how the image was made.

Nightjar helps reduce product drift by grouping multiple views and factual details of the real item into a reusable Product, then applying built-in visual review that can retry obvious eligible failures. Sellers must still compare each finished image with the product that ships and verify Google's metadata and labeling requirements in the final publishing pipeline.

Consistent and on brand AI photoshoots, optimized for conversion.

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