How To Keyword AI-Generated Images For Adobe Stock Without Getting Rejected
Adobe Stock accepts AI-generated images, but weak or spammy keywords are a common reason they get rejected or never sell. This guide covers Adobe's rules for AI content, how to write keywords and titles that pass review, and why relevance order matters more than keyword count.
What are Adobe's rules for AI content?
You must label generative AI work as such during submission, and you must hold the rights to the content. Beyond that, AI images are held to the same metadata standard as any other asset. The title has to describe the image honestly, and the keywords have to be relevant to what is actually in the frame, not to what you hope buyers search for.
Why do good keywords reduce rejection?
Reviewers and Adobe's automated checks look for a match between the image, the title, and the keywords. Keyword stuffing, repeating the same concept ten ways, or tagging an image with terms that are not visible in it all raise flags. Tight, accurate keywords signal a well-prepared submission and keep your acceptance rate high.
How should you order keywords?
Lead with the strongest, most descriptive terms and let supporting and conceptual terms follow. Adobe weights earlier keywords more heavily, so order is part of the optimization, not an afterthought. Never alphabetize, since that buries your best terms.
Flip It analyzes the actual content of each image and returns keywords in relevance order, with a title and description that match what is in the frame. That alignment is exactly what review looks for.
A quick checklist before you submit
- Declare the image as generative AI.
- Write a title that honestly describes the image.
- Use 30 to 50 relevant keywords, strongest first.
- Remove any keyword you cannot point to in the image.
- Strip private metadata from any reference photos you used.
FAQ
Does Adobe Stock accept AI-generated images?
Yes, Adobe Stock accepts AI-generated content as long as you label it as generative AI during submission and hold the rights. You still need accurate titles and keywords for it to be discoverable and approved.
Why do AI images get rejected for keywording?
Common reasons are spammy or irrelevant keywords, keyword stuffing, titles that do not match the image, and missing the AI-content declaration. Accurate, relevant metadata reduces all of these.
How many keywords should I use?
Aim for 30 to 50 genuinely relevant keywords in relevance order. More is not better if the extra terms are weak. Quality and order beat raw count.
Keyword a batch in relevance order with Flip It. New accounts get 15 free credits.