A UX designer uploads a static mockup (e.g., a JPEG of a landing page) or provides a live URL, or uses the Figma/Adobe XD plugin directly in their design software. Within seconds, the AI generates a predictive heatmap overlay (red indicating high visual attention, blue indicating ignored areas). The designer can draw custom "Areas of Interest" (AOIs) around specific elements—like a CTA button—and the platform calculates the exact percentage of attention that specific button receives relative to the rest of the page.
Attention Insight
Attention Insight is an AI-powered predictive eye-tracking and design analytics platform. Utilizing machine learning models trained on vast databases of actual human eye-tracking studies, it predicts exactly where a user's attention will focus when they view a website, mobile app, or digital advertisement—without requiring the time or budget to conduct real human focus group testing.
Instead of waiting for post-launch analytics (like Hotjar heatmaps) to see what users click, designers use Attention Insight during the prototyping phase to mathematically validate visual hierarchy. It highlights areas of high visibility and calculates "Clarity Scores" to ensure crucial elements (like a "Buy Now" button or a core headline) are actually capturing the user's gaze.
It is predominantly used by UX/UI designers, conversion rate optimization (CRO) specialists, and marketing agencies to scientifically justify design decisions to stakeholders prior to development and launch.
Best For
- UX/UI Designers and Product Managers
- Conversion Rate Optimization (CRO) specialists
- Digital advertising and marketing agencies
- Enterprise design teams requiring data-driven justification
How It Works
Key Features
Visual Analytics
- Predictive AI Heatmaps
- Areas of Interest (AOI) percentage scoring
- Design Clarity Scoring (0-100)
- Focus map generation
Integrations & Workflow
- Figma, Sketch, and Adobe XD native plugins
- Live URL analysis via Chrome extension
- Automated side-by-side variation comparisons
- PDF analytics report generation
Pros & Cons
Pros
- Eliminates the subjective "I think this looks better" arguments in design meetings through objective data
- Native integration into Figma allows designers to tweak and re-test layouts in seconds without breaking workflow
- large-scale cheaper and faster than organizing legitimate human eye-tracking laboratory studies
- Clarity Scoring provides an instant metric to gauge overall visual noise and clutter
Cons
- Predicts initial visual attention (first 3-5 seconds), not exact semantic comprehension or eventual user behavior
- Models can occasionally struggle with highly unorthodox or exceptionally text-dense academic interfaces
- Pricing targets agencies and professional teams, lacking friendly tiers for freelance solo-preneurs
- Cannot fully replace live behavioral tracking (like mouse movements or scroll depth) post-launch
Pricing
Attention Insight operates on a tiered SaaS subscription model (Individual, Team, Agency) billed monthly or annually. Tiers are primarily differentiated by the number of design analyses allowed per month, team collaboration features, and the ability to export white-labeled reports for clients.
How It Compares
Attention Insight competes with visual analytics tools like VisualEyes (now part of Neurons) and post-launch behavioral tools like Hotjar or CrazyEgg. Hotjar requires a site to be live and relies on live user traffic to generate analytics. Attention Insight differentiates itself as a strict *pre-launch* predictive tool. It empowers designers to scientifically validate and optimize the visual hierarchy of static mockups directly within Figma, long before any code is written or live users interact with it.