Brainsight: Predictive Attention & AI Eye Tracking
Brainsight helps marketing and UX teams predict visual attention to optimize creatives before launch. It is designed for businesses looking to validate visual hierarchy and may help reduce ad waste.
At a glance
- Category
- Browse Data & Analytics tools
- Best for
- Marketing Agencies, UX Research Teams, Product Teams, Advertising Brand Managers
- Pricing
- Paid plans start at €229/month (Team), with Business+ at €449/month and Agency at €899/month. A 14-day free trial is available.
- Key use cases
- Ad Creative Pre-testing, UX Design Validation, Video Content Optimization, A/B Variant Testing
- Integrations
- Figma plug-in, API
- Official website
- Visit brainsight official website
Brainsight is a predictive attention tool that uses AI to simulate eye-tracking behavior. Users upload visual assets to see where attention is likely to concentrate during the first few seconds of exposure, rather than recruiting human participants for live studies.
The software is designed for creative agencies, UX researchers, and product teams who need to validate whether key elements, such as CTAs or branding, are seen by the target audience. It provides data through heatmaps and gazeplots, along with benchmarked attention and clarity scores.
Buyers should note that this tool measures instinctive, initial attention (the first 3 seconds) rather than long-term engagement. Those needing deep qualitative engagement data may still require live research methods.
Access is provided via a browser-based platform, with a Figma plug-in and an API available for teams that need to automate analyses at scale.
Key Features
Predictive Heatmaps
Generates visual maps showing high and low focus areas to identify where attention concentrates.
Gazeplots and Peekthroughs
Maps the predicted natural viewing order and identifies what is seen instantly versus what is missed.
Attention and Clarity Scores
Provides benchmarked metrics to assess the likelihood of an ad being noticed and its visual comprehensibility.
AI Audits
Automated analysis that provides optimization recommendations and insights on visual hierarchy.
Brand Tracking for Video
Uses object and text recognition to track how brand assets and logos capture attention in video content.
Scrolling UX Heatmaps
Supports the analysis of landing pages to validate information flow and conversion funnels.
Use Cases
Ad Creative Pre-testing
Analyzing display, social, and DOOH ads before launch to check if brand cues and CTAs are noticed.
UX Design Validation
Using gazeplots and scrolling heatmaps to verify if the visual hierarchy guides users toward conversion elements.
Video Content Optimization
Applying brand tracking to videos to see if key messages and logos are anchored.
A/B Variant Testing
Comparing different design versions using predictive data to form hypotheses for conversion rate optimization.
Best For
- Marketing Agencies
- UX Research Teams
- Product Teams
- Advertising Brand Managers
Integrations
- Figma plug-in
- API
Pricing
Paid plans start at €229/month (Team), with Business+ at €449/month and Agency at €899/month. A 14-day free trial is available.
FAQ
How accurate are Brainsight's predictive heatmaps?
- The vendor states that its AI models achieve 94% accuracy when compared to live eye-tracking studies.
What is the difference between predictive and live eye-tracking?
- Predictive eye-tracking uses AI to forecast initial, instinctive attention (the first 3 seconds), while live tracking uses human participants to measure engagement over time.
Which plans include video analysis?
- Video heatmaps are available in the Business+, Agency, and Enterprise plans; the Team plan focuses on image heatmaps.
Does Brainsight require a credit card for the trial?
- No, the 14-day free trial is available without requiring a credit card.
Source category: Data & Analytics
Source subcategory: Computer Vision
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Categories
Software Type
How AI is used
Brainsight is an AI-powered predictive eye-tracking tool for marketing and UX teams. It generates heatmaps and attention scores to help businesses optimize visual creatives before launch. It focuses on initial instinctive attention rather than long-term user engagement.
Pros & Cons
Pros
- Provides faster results than traditional live eye-tracking studies
- Supports multiple formats including images, videos, and live URLs
- Includes benchmarked scores to compare designs against industry standards
- Provides a Figma plug-in for design workflow integration
Cons
- Predictive data covers only the initial 3 seconds of viewing, not sustained engagement
- Video heatmaps take longer to process than static images
- Advanced brand tracking for video requires an additional monthly fee on some plans
