Why ATS Grade
See your resume the way an ATS does
Roughly 75% of resumes are filtered out by software before a human ever reads them. ATS Grade reveals exactly what an applicant tracking system extracts from your CV, scores how well it matches the role, and tells you what to fix — free.
How an ATS reads your resume
The four stages every resume passes through
Before a recruiter sees your application, an applicant tracking system parses, structures, ranks, and filters it. Here is what happens at each step.
Parse
The system converts your file into raw text. Complex layouts, tables, columns, and graphics often get scrambled or dropped entirely.
Extract
It pulls out structured fields — contact details, job titles, dates, skills, and education — and maps them into its database.
Rank
Your resume is scored against the job description using keyword matches, required skills, and relevance signals.
Filter
Low-scoring or unparseable resumes are pushed down or screened out, so a recruiter may never see them at all.
What you get
A clear, actionable read on your resume
ATS Grade does not just hand you a number. It shows you what machines see, where you lose points, and the exact changes that move the needle.
A machine-eye view
See the exact text an ATS extracts from your file, so you can catch anything that gets scrambled or lost.
A transparent score
Get a grade across a 12-point framework covering targeting, structure, language, and polish — with the reasoning behind every point.
Fixes you can apply
Receive specific, prioritized recommendations you can act on immediately to raise your score and your chances.
The evidence
Why this matters, backed by research
Our approach is grounded in peer-reviewed studies on hiring, resume parsing, and how small changes shift outcomes.
Algorithmic feedback boosts hiring outcomes
An MIT field experiment found that giving job seekers automated resume feedback measurably improved their interview and hiring rates.
Emma van Inwegen et al., MIT (2023)Small resume signals change callbacks
A landmark study showed that minor differences on a resume produced large, measurable gaps in callback rates — wording matters.
Bertrand & Mullainathan, NBER (2003)Parsing errors quietly cost candidates
A 2025 review of automated resume parsing documents how layout and formatting choices cause systems to misread or drop key information.
Automated Resume Parsing Review (2025)Built to show you exactly what to fix
Most checkers stop at a vague score. ATS Grade pairs the machine-eye view with concrete, prioritized fixes — the same lens recruiters and tracking systems use — so every edit you make counts.
Ready when you are
Find out what an ATS really sees
Sign in, upload your resume, and get a transparent, actionable score in seconds.