Eyequant is a visual attention prediction tool that uses AI to simulate eye-tracking, helping designers evaluate and optimize the clarity and focus of digital interfaces.
EyeQuant is an AI-powered visual analytics tool that predicts how users will perceive and interact with a design in the first few seconds of viewing. It analyzes web pages, app interfaces, ads, and other visual content to simulate human attention, clarity, and perceived attractiveness without requiring live user testing. Using computational models of visual perception, EyeQuant generates attention heatmaps, clarity scores, and focus maps that show which elements are most likely to be seen first and which areas may be overlooked or visually noisy.
Key capabilities include instant, browser-based analysis of mockups or live pages, side-by-side design comparisons, and objective scoring of visual hierarchy and readability. Teams can test variations of landing pages, product pages, pricing layouts, or onboarding flows to validate whether key messages, calls-to-action, and brand elements are visually prominent. EyeQuant also supports collaboration by allowing designers, marketers, and UX professionals to share results and align on data-backed design decisions.
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