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Most resume advice optimises for a score no employer ever sees. What actually decides the outcome is narrower: whether the parser reads your file cleanly, whether a recruiter scanning for a few seconds finds the evidence they need, and whether your specific claims line up with the specific job.
That's why the checker here reports skill overlap and knockout risks instead of a keyword-density percentage. Knockouts are the conditions that end an application regardless of how good the rest of it is, like years of experience, a degree requirement, work authorisation, or location. Those are worth checking before you spend an hour tailoring.
Tailoring per role beats volume. A resume rewritten against the actual job description, with the relevant work moved to the top, outperforms fifty copies of a generic one. The tools below cover that loop: check the fit, fix the bullets, confirm it still reads well to a human.
The tools
What an ATS actually does
Applicant tracking systems are widely misunderstood, usually in the direction of making them sound more powerful than they are. In most configurations the system parses your file into structured fields, stores it, and lets a recruiter search and filter. It is a database with a search box far more often than it is an algorithm silently rejecting you.
The claim that a large majority of resumes are auto-rejected before a human sees them has been traced back to vendor marketing rather than research, and it is worth being sceptical of any tool that leans on it to sell you a score. What genuinely costs people interviews is more mundane: a layout the parser mangles, a missing job title, or a mismatch on a hard requirement.
Formatting that survives parsing
Keep the structure boring. Standard section headings, a single column for the main body, real text rather than text inside images, and conventional job titles. Multi-column layouts, text boxes and tables are the usual culprits when a parsed resume comes out scrambled, because the parser reads them in an order that made sense visually and nonsense linearly.
Export to PDF unless the posting asks for something else, and open the file afterwards to check it still looks right. If you can't select the text in your own PDF, neither can the parser.
Tailoring without rewriting from scratch
You rarely need a new resume per application. You need the same evidence reordered so the work relevant to this posting sits where it gets read, and the wording aligned to the terms the job description actually uses. If the posting says "stakeholder management" and your bullet says "worked with other teams", that's a match you're leaving on the table for no reason.
Check the knockouts first, before you spend time on any of this. Years of experience, degree requirements, work authorisation and location end applications regardless of how well the rest is written, and finding that out before you invest an hour is worth more than any amount of keyword polish.
Related guides
- ›Resume examples by role
- ›ATS-friendly resume templates
- ›ATS keywords by role
- ›Chronological vs functional formats
Common questions
What resume score should I aim for?
Treat any single percentage with suspicion, including ours. What's useful is the breakdown: which required skills you match, which you don't, and whether you trip any knockout condition. A number without that detail tells you nothing you can act on.
Should my resume be one page or two?
One page is a reasonable default for under roughly ten years of experience, two is normal above that. Length matters far less than whether the first third of the first page contains the evidence relevant to this specific role.
Do I need to match keywords exactly?
Match the terminology the posting uses where it genuinely describes what you did. Don't insert skills you lack. Keyword stuffing is easy for a human to spot at the interview stage, which is where it costs you most.
Does a fancy template help or hurt?
Usually hurts. Columns, icons and graphics are the most common cause of a resume parsing badly. A clean single-column layout reads well to both the parser and the recruiter skimming it.
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