
AI-generated product visuals are becoming a normal part of Amazon creative strategy.
Sellers are using AI tools to create lifestyle scenes, product-use images, A+ Content graphics, Brand Story visuals, and shoppable video concepts faster than ever before. These assets can help brands show product benefits, build stronger pages, and create more engaging customer experiences.
But Amazon’s new disclosure requirement adds an important compliance step.
If your image or video contains a photorealistic AI-generated person, Amazon now requires that media file to be tagged with specific metadata before it is uploaded to listings or A+ Content. This is not a visible text label that sellers manually place on the image. It is metadata inside the file that tells Amazon the media includes an AI-generated human.
For sellers, this means creative production can no longer stop at “Does the image look good?” The better question is now: “Is this image conversion-ready and compliance-ready?”
In this blog, we will explain what Amazon’s AI-generated people disclosure rule means, when sellers need to tag media, when the rule does not apply, how this affects product images and videos, and what brands should do now to protect their listings.
Amazon’s new requirement focuses on images and videos that contain photorealistic AI-generated people.
This matters because AI-generated people can look real to customers. A lifestyle image may show a person holding a product, using a product, wearing a product, or appearing in a home, fitness, beauty, baby, outdoor, supplement, or family scene.
If that person was entirely generated by AI and looks photorealistic, Amazon requires the file to be tagged before upload.
The goal is to support disclosure where applicable and help customers understand when media includes synthetic human content.
Amazon requires sellers to add this keyword to the XMP dc:subject field:
contains-synthetic-performer
This metadata should be added before uploading the image or video to Amazon.
Sellers can add it using IPTC-compatible metadata tools, built-in operating system tools, or command-line tools such as ExifTool.
This is important because simply naming the file “AI image” or adding a note in a design folder is not enough. The required keyword must be inside the correct metadata field.
The tag is required when the image or video includes a photorealistic AI-generated person.
This can include:
The key point is whether the person is photorealistic and entirely AI-generated.
If the answer is yes, the file should be tagged before upload.
Amazon’s requirement does not apply to every AI-assisted image.
Sellers do not need to add this metadata if the image only features real people, even if the image was edited or enhanced with AI tools.
The tag is also not required if the media does not show people, does not include photorealistic people, or only includes characters from movies, games, TV programs, documentaries, or other expressive works.
For example, a product photo with no people does not need this tag. A flat lay image does not need it. A cartoon-style character that is not photorealistic would not usually fall under this requirement.
The risk is highest when brands create realistic AI lifestyle scenes with human models.
Product images are one of the strongest conversion tools on Amazon.
They help customers understand what the product is, how it works, what is included, and why it is worth buying. Amazon also expects images to accurately represent the product and follow technical and visual requirements.
Now, sellers also need to think about whether an image includes AI-generated human content.
This is especially relevant for secondary listing images, where sellers often use lifestyle visuals, models, demonstrations, family scenes, or product-use examples.
Strong Amazon Image Optimization should now include both conversion strategy and AI disclosure review.
A+ Content often uses more lifestyle imagery than standard listing images.
Brands may show people using the product, experiencing a benefit, following a routine, or interacting with the product in a real-world setting. Many sellers now use AI tools to create these scenes faster.
If those people are photorealistic and AI-generated, the media needs to be tagged.
This means A+ Content workflows need a metadata compliance checkpoint before upload.
A strong Amazon Content Optimization process should review not only copy, layout, claims, and mobile readability, but also whether the creative assets need AI-generated people disclosure.
Amazon’s rule also applies to videos that contain photorealistic AI-generated people.
This is important because product videos are becoming more common on Amazon detail pages. Videos can demonstrate product use, explain setup, show sizing, answer customer questions, and build trust.
If a brand uses AI-generated human talent in a video, that file may need the same metadata tag before upload.
Sellers should also remember that videos must follow Amazon’s video requirements, including product accuracy, clear visibility, proper audio, no external links, no misleading claims, and no unauthorized third-party content.
AI disclosure is one part of video compliance, not the entire checklist.
This update does not change Amazon’s main image rules.
Main product images still need to accurately represent the product, use a pure white background where required, show the product clearly, avoid extra graphics, avoid unsupported props, and follow category-specific requirements.
Sellers should not use AI disclosure as a substitute for image compliance.
For example, if a main image violates Amazon’s product image rules, adding AI metadata will not make the image acceptable.
AI tagging only addresses the disclosure requirement for photorealistic AI-generated people.
Many sellers work with designers, AI prompt creators, photographers, video editors, agencies, freelancers, or overseas creative teams.
That creates workflow risk.
A designer may create a beautiful AI lifestyle image, but if the file is not tagged correctly before upload, the listing team may not realize there is a compliance gap.
Amazon sellers should update their creative checklist to include:
A clear process reduces last-minute upload problems.
Adding the tag is only one step.
Sellers should verify that the keyword appears in the correct XMP dc:subject field before uploading the file.
This matters because different tools may write keywords to different metadata fields. Using the wrong field may not satisfy the requirement.
Sellers should also avoid repeatedly adding duplicate keywords unnecessarily, especially when using command-line tools.
The safest workflow is to add the tag once, verify it, save the final file, and then upload it to Amazon.
This update is not only a technical requirement.
It also connects to customer trust.
If shoppers see an indicator that an image includes AI-generated people, the product itself still needs to feel accurate, honest, and realistic. The image should not exaggerate results, misrepresent product size, show unrealistic usage, or create expectations the real product cannot meet.
AI-generated visuals should support the product truth, not replace it.
The best Amazon creative will still be clear, accurate, benefit-focused, and customer-friendly.
AI tools can create polished visuals quickly, but they can also create risky claims or misleading scenes.
For example, an AI image may imply medical benefits, exaggerated transformation, unrealistic usage, safety claims, or product results that are not supported.
Sellers must make sure every visual aligns with the product’s actual features, documentation, category rules, and Amazon policies.
This is especially important for supplements, beauty, baby products, medical-adjacent products, safety products, electronics, and children’s products.
A strong Amazon Store Management process helps keep content, compliance, catalog health, and conversion strategy aligned.
Many sellers use AI-generated visuals to test creative concepts for ads, Store pages, listing images, and A+ Content.
That can be useful, but it needs process control.
If a high-performing AI lifestyle image includes photorealistic AI people, the seller should make sure the disclosure tag is added before the asset is used in Amazon listing or A+ workflows.
A strong Amazon Advertising PPC Services strategy should work with compliant creative assets so performance testing does not create avoidable policy risk.
Sellers should review all current and planned Amazon media.
Start with secondary listing images, A+ Content modules, Brand Story graphics, Store visuals, and product videos.
Look for any media that includes realistic-looking people. Then confirm whether those people were real, AI-generated, or AI-edited.
For any photorealistic AI-generated person, add and verify the required metadata before upload.
Sellers should also review image quality, product accuracy, claims, main image compliance, video compliance, ASIN mapping, and variation usage.
The first mistake is assuming AI images are only a design issue.
They are now also a compliance issue.
The second mistake is tagging every AI-assisted image even when the rule does not apply. The requirement is specific to photorealistic AI-generated people.
The third mistake is adding the keyword to the wrong metadata field.
The fourth mistake is forgetting videos.
The fifth mistake is using AI lifestyle visuals that look attractive but misrepresent the product.
The sixth mistake is not informing outside designers or agencies about the requirement.
A strong process can prevent all of these issues.
Big Internet Ecommerce helps Amazon sellers build high-converting product pages while staying aligned with Amazon content requirements.
Our team reviews product images, A+ Content, Brand Story modules, shoppable videos, listing claims, creative accuracy, mobile readability, and catalog compliance risks.
We help sellers identify whether AI-generated media needs disclosure, improve product visuals, strengthen product page content, and reduce avoidable listing issues.
The goal is simple: create Amazon content that looks professional, converts better, and stays compliant.
Amazon requires sellers to tag images and videos that contain photorealistic AI-generated people with the keyword contains-synthetic-performer in the XMP dc:subject metadata field before upload.
No. It applies when the media contains photorealistic AI-generated people. It does not apply to images with no people, non-photorealistic people, or real people edited with AI tools.
Yes. The requirement applies to applicable product images and videos before they are added to listings and A+ Content.
Yes. If a video contains photorealistic AI-generated people, it must be tagged with the required metadata before upload.
Yes, but if the image contains photorealistic AI-generated people, sellers must tag the media correctly and ensure the asset still follows Amazon’s image and content rules.
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