Distinct generative AI submission best practices

Last updated on Jun 11, 2026

Learn how to submit distinct, high-quality generative AI content and avoid overly similar variations.

AI-generated content enables a wide range of creative possibilities, but effective results depend on thoughtful prompting and careful curation. Submissions should prioritize meaningful variation, as multiple outputs from the same prompt with only minor differences may be considered too similar and can be refused.

Prioritize unique concepts and quality when submitting generative AI content.

Best practices for distinct generative AI content

These guidelines help ensure generative AI submissions are clearly differentiated, high-quality, and relevant for commercial use.

  • Focus on concept diversification: Distinct submissions should reflect different ideas or use cases, rather than relying only on visual or stylistic changes.
  • Curate outputs selectively: Review the generated results carefully and submit only the most effective and differentiated assets, rather than uploading large batches.
  • Ensure commercial quality: Content should be free of artifacts, distortions, or inaccuracies, and suitable for professional use.
  • Use clear and descriptive metadata: Titles and keywords should accurately represent the content and highlight what makes each asset unique.

Variations to avoid

The following changes are insufficient and may lead to rejection:

  • Flipped or rotated versions of the same image.
  • Applying different filters or visual effects.
  • Background color changes or minor color variations.
  • Similar composition or subject without meaningful differences.
  • Cropping changes or altered aspect ratios without a new value.
Note

If content is refused due to similarity, treat it as an opportunity to refine the portfolio and focus on submitting stronger, more distinct assets in future uploads.