Artificial Intelligence has revolutionized the stock photography workflow. What used to take hours of manual keywording can now be done in seconds. AI tools can recognize shapes, objects, colors, and even abstract concepts, suggesting keywords and titles instantly.
However, AI is a tool, not a complete replacement for human review. If you rely blindly on raw AI output, you run the risk of getting your assets rejected or losing search visibility.
Here are the 5 most common mistakes stock contributors make with AI metadata, and how you can avoid them.
1. Not Editing Out Trademarked Terms
AI models are trained on massive datasets from the web, which means they recognize and associate brand names with images. If you upload a photo containing a laptop, the AI might suggest Apple, MacBook, or MacOS.
Stock sites will immediately reject images with trademarked terms in the metadata.
Always review the AI's suggestions and remove specific brand names, logos, or copyrighted characters. Replace them with generic terms (e.g., replace MacBook with laptop, or iPhone with smartphone).
2. Blindly Accepting Incorrect "Hallucinations"
AI models occasionally see things that aren't there—a phenomenon known as "hallucination." For example, a reflection in a glass window might be flagged as a second person, or a shadow might be interpreted as a black cat.
If you upload these hallucinated tags to Adobe Stock or Shutterstock, you will confuse the search engine and disappoint buyers who click on your image expecting to see a cat.
Spend 30 seconds reading through the AI-generated list to prune any incorrect keywords.
3. Ignoring the Order of Relevance
As discussed in other guides, platforms like Adobe Stock weigh the first 5 to 10 keywords much higher than the rest.
Some generic AI taggers output keywords in alphabetical order or in order of machine confidence, which doesn't always align with human relevance. If your photo is of a "golden retriever playing fetch," but your first three keywords are "animal," "mammal," and "outdoor," your search ranking will suffer.
Make sure your primary subject and key actions are at the very top of your list.
4. Underutilizing the Title and Description Fields
An AI tool might give you a perfect list of 40 keywords, but if you write a short, generic title like "Beautiful landscape," you are missing out on valuable SEO real estate.
Your title should be a descriptive sentence that incorporates your top 3 or 4 keywords in a natural way. Don't let your metadata tool do only half the job—make sure it generates optimized, human-like titles alongside the keyword tags.
5. Over-Tagging (Keyword Stuffing)
More is not always better. While Adobe Stock allows up to 50 keywords, stuffing your metadata with loose associations (like tagging "sadness" and "depression" on a photo of a woman drinking coffee just because she isn't smiling) will hurt your conversion rate.
If buyers click your image and quickly click away because it doesn't match their search intent, the algorithm will rank your image lower. Keep your keywords highly relevant to the actual scene.
Conclusion: The "Human in the Loop" Approach
AI metadata tools like SubmitAI are designed to do 95% of the heavy lifting. They extract the subjects, suggest titles, and structure the data according to platform rules.
However, the final 5%—the quick review and confirmation—is where you, the contributor, add value. A simple review ensures your metadata is accurate, trademark-free, and optimized for sales.