Summary: AI helps create visuals that are not only appealing but performance-optimized through predictive testing.
Problem: Design and copy teams rarely have data on which visuals convert best.
Solution: AI evaluates design elements — color, emotion, placement — and predicts engagement outcomes.
Comparison:
Designer intuition: subjective
Manual testing: slow
AI visual prediction: data-backed
Actionable Recommendation: Use creative intelligence tools like Pattern89 or VWO to test and refine visuals before launch.