How do you optimize a resume for ATS without stuffing keywords?

An applicant tracking system collects applications, stores the text, and lets a recruiter search and sort it. Jobscan's own site describes the same mechanism: an ATS scans a resume and searches for keywords, skills, job titles, and education the recruiter is looking for (jobscan.co, fetched 24 September 2026). That is a search index, not a published rejection rate.

We do not have a primary source for the claim that 75 percent of resumes are rejected before a human sees them. This guide does not use that number. A resume that parses badly, or that never uses the words a recruiter searches, is hard to retrieve. That is a different claim from "the software rejected you."

Use headings a parser expects: Experience, Education, Skills. Keep the text in one column. Tables, text boxes, and headers that hold your name or email are where parsed text goes missing. Save the file as the posting asks. If it does not say, a .docx and a text-based PDF are both ordinary.

The check that does not require a tool: paste the resume into a plain-text editor. If a role, a date, or your email disappears or lands in the wrong place, the parser will have the same problem.

Jobscan recommends a 75 percent match rate and says a higher score can mean the resume is stuffed (jobscan.co, fetched 24 September 2026). That is their product rule, not a finding about who gets hired. A term with nothing behind it does not survive the question "tell me about that."

Use the employer's words for tools and outcomes you can defend. Leave out a keyword you would not say out loud. The line that matters is the one that shows what changed because of the work: the project, the constraint, and the result you can point to.

Paste the posting and your resume into Job Match (5 tokens). Each requirement comes back next to the line that proves it, or a plain note that nothing does yet. That is the check. A rewrite that only sounds closer to the posting is not.