Instantly understand user behavior to optimize designs
A predictive eye-tracking tool for design and marketing teams testing websites, ad creatives, packaging, and video ads. AI trained on millions of real eye-tracking fixations predicts where people look, giving instant attention metrics and recommendations. Optimize visuals, validate concepts, fix attention errors, defend decisions with data, and prove ideas to stakeholders before launch. Works via Chrome extension, Figma plugin, Adobe add-ons, and API.
Attention Insight generates AI-powered heatmaps showing where users look first, with Clarity Score and Focus Map metrics. Designers can create instant PDF/PPT reports with visual evidence to defend design choices and eliminate subjective feedback like 'make logo bigger' or 'design is confusing.'
Attention Insight delivers AI heatmaps in seconds with 90-96% accuracy compared to real eye-tracking studies. The Figma plugin integrates directly into the design workflow, enabling designers to test concepts, compare variations, and receive AI recommendations instantly without data collection or participant recruitment.
Quick Video Testing feature analyzes each frame with heatmaps and Focus Score metrics, helping creators identify when viewers' attention peaks or drops. Marketers can optimize narrative flow, ensure brand/USP visibility at critical moments, and polish messaging before publishing to social or broadcast channels.
Clarity Score (1-100) evaluates how cluttered or clean a design appears, considering text amount, contrast, color saturation, and image density. Designers can benchmark against top 170 Alexa websites in their category to see how their design clarity ranks against industry standards and spot improvement opportunities.
The Percentage of Attention feature quantifies exactly how much focus key elements (CTAs, headlines, images) receive. Designers can A/B test variations side-by-side, compare attention distribution, and refine visual hierarchy to ensure critical elements grab attention within the first 3-5 seconds when users decide to stay or leave.