Upload any image and generate an AI-powered attention heatmap, saliency map, and predicted gaze path in seconds. Used by performance marketers, UX designers, and creative teams.
PNG, JPG, or WebP. Works on ad creatives, landing pages, and product shots.
Three steps from raw image to actionable attention data.
Ad creative, landing page screenshot, product photo — PNG, JPG, or WebP, up to 10 MB.
A vision transformer predicts attention using both bottom-up salience (contrast, color) and top-down context (faces, text, CTAs).
Download the heatmap overlay, saliency map, predicted gaze path, and element-level scores — all annotated and ready to share.
Each view answers a different creative question — use them together for a complete picture of how viewers will experience your design.
A red-yellow-teal overlay showing predicted fixation density. The #1 visualization for spotting dead zones and hotspots at a glance.
A pure black-and-white visualization of bottom-up visual salience — useful for seeing where the image 'pops' before any semantic interpretation.
An ordered sequence of fixations showing the likely scanning path. Critical for verifying viewers reach your offer before the exit point.
The human visual system processes images in two stages: pre-attentive processing (the first 200 milliseconds, when the brain categorizes the image by color, contrast, edges, and motion) and attentive processing (the next 1–2 seconds, when the eye moves to the highest-salience features in a predictable sequence of fixations). An AI attention heatmap models both stages to predict where the eye will actually land.
The underlying models are deep convolutional networks (or, more recently, vision transformers) trained on datasets like SALICON, MIT1003, and CAT2000 — collectively representing millions of real eye-tracking fixations from human participants viewing natural images. Modern architectures achieve AUC-Judd scores above 0.88, which corresponds to roughly 85–93% agreement with human eye-tracking data on static images.
For advertising specifically, the economic case for heatmaps is straightforward. Meta reports that over 80% of ad impressions are on mobile, where the average viewer spends 1.7 seconds per ad. In that window, a creative either earns attention or loses it. If your CTA, headline, or product is in the dead zone — the area outside the natural gaze path — the ad effectively doesn't exist to most viewers. Heatmaps let you see those dead zones before you spend.
The practical payoff: in aggregate data from 2,400+ campaigns analyzed with GazeIQ, creatives in the top attention quartile outperform creatives in the bottom quartile by 34% in CTR and 22% in ROAS. Heatmaps don't guarantee a hit creative — but they reliably eliminate the obvious losers before you pay to learn.
An attention heatmap is a visual overlay that shows where viewers are most likely to look on an image. Warm colors (red, orange) indicate high-attention zones; cool colors (blue, teal) indicate zones viewers tend to ignore. AI attention heatmaps are generated from saliency and gaze-prediction models trained on millions of real eye-tracking sessions.
A saliency map highlights visually prominent features (contrast, color, motion) without modeling higher-order attention. An attention heatmap goes further — it predicts where human viewers will actually look based on both bottom-up saliency and top-down context (faces, text, product shapes, CTAs). GazeIQ's heatmap generator produces both and a gaze path that predicts the order in which viewers scan the image.
Yes. The same vision models work on any static image. Marketers use it for social ads, landing page hero sections, product detail pages, email banners, and PDF covers. Anywhere visual attention matters, a heatmap tells you whether your most important element is actually getting seen.
Modern gaze-prediction models (DeepGaze III, SAM-ResNet, and similar architectures) achieve 85–93% correlation with live eye-tracking data on static images, measured by AUC-Judd and NSS metrics. For creative pre-testing, this is more than accurate enough to distinguish high-attention designs from low-attention ones — typically for a fraction of the cost and time of real user testing.
Yes. You can generate 3 attention heatmaps per month for free. Each includes the full attention overlay, saliency map, predicted gaze path, and element-level scoring. Paid plans unlock unlimited heatmaps, video heatmaps, and A/B pre-testing of multiple creative variants.