AI UI Mockup Analysis: Review UI Faster and Generate Improvement Checklists (2026)
A static mockup is beautiful—and hard to implement. The pain isn’t the pixels. It’s the missing structure:
- what are the core components and hierarchy?
- what are the states (loading/empty/error/disabled)?
- what should we improve first?
This guide shows a repeatable workflow (Eyesme example) to analyze UI screenshots and mockups.
What to ask for
- layout structure (Header/Nav/Main/CTA)
- component inventory
- typography/color suggestions
- missing states
- accessibility quick checks
- prioritized improvement list
10-minute workflow
Step 1: Structure first
- “Break down layout and hierarchy. What’s the user’s primary task path?”
Step 2: Extract style hints
- “Extract color palette suggestions and typography scale.”
Step 3: State coverage
- “List missing states (empty/error/loading/disabled) and where they should appear.”
Step 4: Accessibility quick scan
- “Flag low contrast text, small touch targets, and color-only signals.”
Step 5: Output improvements
- “Give 10 UX improvements, sorted by impact × effort.”
Competitor research
Pair this with screenshot comparison:
Bottom line
Don’t guess UI from a JPG. Extract structure, then act.