VisorLabsResumeSign inThat’s the whole audition. Our attention model shows exactly where a recruiter’s gaze lands in those seconds — and what they never read at all — so you can fix it before it costs you the interview.
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We trained a model on real recruiter eye-tracking — spanning engineering, product, and business roles — so it pinpoints exactly where attention lands. Red zones get read first; blue and green zones get skipped. See the pattern, then fix what’s invisible.
Recruiters scan, they don’t read. Our model shows exactly where that scan lands — and what never gets seen.
See which sections fall in dead zones. The heatmap shows which achievements go unread — before the rejection, not after.
We studied the resumes that actually landed offers to learn what recruiters reward — then turned it into specific, section-by-section edits: what to move, cut, and restructure.
Practical context before you upload your resume. See how VisorLabs describes attention predictions and their limits.
Recruiters often make an initial pass in roughly 6–10 seconds. That first scan is about finding the most relevant signals quickly, so placement, hierarchy, and clarity matter before they read every bullet.
An applicant tracking system (ATS) stores applications and can parse resume text so recruiters can search and filter candidates. VisorLabs complements ATS-friendly formatting by showing how a recruiter is likely to visually scan the resume after it reaches them.
Dense blocks of text, low-priority details, and achievements buried far from the initial scan path are easier to miss. A resume heatmap helps you spot those attention dead zones so you can move the strongest evidence into view.
It takes one upload and a few seconds. Find the bullets going unread — before you hit submit.
First scan free · No credit card required