Predict where eyes go on a design before you launch it
Attention Insight is an AI-powered predictive analytics tool that generates attention heatmaps for designs before they go live, using a model trained on millions of eye fixations from real eye-tracking studies rather than requiring you to run a live user test. Upload a landing page, ad banner, app screen, packaging mockup, or even a printed poster, and it produces a heatmap showing where eyes are likely to land first, along with a Focus Map highlighting what gets noticed or missed in the first few seconds and a Clarity Score that quantifies how easy the layout is to parse.
It's built for designers, UX researchers, and marketers who need fast feedback during the design process rather than after launch. The Areas of Interest feature lets you flag specific elements, like a CTA button, a headline, or a pricing table, and see exactly what percentage of attention each one is predicted to capture, which is useful for catching a buried call-to-action or a competing visual element before spending money on traffic. It plugs into common design tools and offers an API, so teams can fold attention prediction into an existing workflow instead of treating it as a separate audit step.
What sets it apart from actual eye-tracking studies or moderated usability testing is speed and cost: results come back in seconds instead of requiring recruited participants, tracking hardware, or days of turnaround. That makes it practical for testing many design variations quickly, though it's a prediction based on aggregate visual patterns rather than a substitute for testing with real users when the stakes are high enough to warrant it.
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