Stuffing the right words
into the wrong resume.
A keyword optimizer that also tells you when keywords are not the bottleneck.
The pain
You ran your resume through a keyword scanner. It surfaced 12 missing terms. You added every one. The match rate jumped to 91%. You apply to three jobs that week. Two ghost. One auto-rejects. The keyword count is fixed and the callbacks still aren't there. That's because keyword density is one of seven things ATS scores — and it's rarely the one that's actually broken.
When keywords are not the problem
If you're north of 75% keyword match and still not getting callbacks, the bottleneck is almost always somewhere else. It usually looks like one of these:
Wrong seniority signal
ATS infers your level from titles, scope, team size, and outcomes. Keywords don't change those signals — bullet phrasing does.
Implicit skills, not explicit
"Used data infrastructure tools" and "Snowflake, dbt, Airflow" are not the same string. The scanner only counts the literal tokens. Implicit experience reads as no experience.
Requirements coverage gap
A resume can have every keyword and still miss listed requirements that you actually meet — because they were never explicitly addressed in the bullets.
Domain mismatch
A retail-heavy resume scoring for a fintech role gets penalized on domain fit even when keyword overlap is high. Reframing the experience matters more than adding terms.
For a worked example on a technical role, see ATS keywords for software engineers and the broader breakdown in the most common ATS resume mistakes.
A keyword pass that knows when to stop
Paste the JD and your resume
Keywords are extracted with weights — requirements outweigh nice-to-haves; recurring terms outweigh one-offs.
See keyword density alongside six other dimensions
If your keyword score is already 85% and you're still failing, the dashboard tells you which of the other six dimensions to fix instead of asking you to add more terms.
Rewrite once, rescore in 60 seconds
Make the change, paste again, watch the dimension move. No saved drafts, no lock-in, no waiting on a queue.
How the approaches compare
| Feature | Typical keyword scanner | matchjob.io |
|---|---|---|
| What you score | Keyword overlap % | Keyword density + 6 other ATS dimensions |
| Per-keyword visibility | Match / no-match list | Term, weight, frequency, where it appears in the JD |
| Implicit vs explicit skills | Treated the same | Flagged separately so you know what to make literal |
| Job posting input | URL or template | Paste any JD text from any source |
| Account / pricing | Account + subscription | No account · 1 free scan/month · one-time from $19 |
| Output | Suggested keywords list | Per-dimension fix list + full rewrite if you unlock |
Common reasons people hesitate
I'm already paying for a keyword tool.
Keep it. Run a single free scan here against the same job description and compare the dimension breakdown. If a non-keyword dimension is dragging your score, your current tool can't see it.
I don't want to add another step to my workflow.
It is one step: paste two text blocks. There's nothing to install, no profile to maintain, and no editor to learn.
What if my data is stuck in the other tool?
There's no migration. The whole input is plain text you paste each time. Your current tool keeps your history; this one just gives you a second-opinion score.
Get the keyword playbook before you scan
One short email a week — exact-match vs implicit, weighting, density limits, and what to do when keywords aren't the bottleneck.
Score keywords and the six other things that matter — free
Paste the JD and your resume. See keyword density next to the six other ATS dimensions in about 60 seconds. No account. No card. The bottleneck is highlighted.
Score my resume against this job — free →Frequently asked questions
Why isn't keyword stuffing enough?
ATS systems weight keywords against six other dimensions: hard skills match, seniority signals, domain fit, leadership evidence, requirements coverage, and overall keyword density. A resume that maxes out keywords but misreads as the wrong seniority level still scores poorly. Optimizing one dimension without seeing the others is why people rewrite five times and don't move the callback rate.
Do you parse keywords differently from a typical scanner?
Keywords are extracted from the job description and weighted by where they appear (requirements vs nice-to-haves), how often they recur, and whether they're hard skills or soft. Density and exact-match are reported separately so you can see whether you're under-using a critical term or over-stuffing a minor one.
Can I use this for technical roles?
Yes. Hard-skill detection is calibrated for engineering, data, design, product, marketing, sales, and operations. Implicit references ("used data infra") are flagged as gaps versus explicit ones ("Snowflake, dbt, Airflow") because the scanner only sees the literal token.
What's the catch on the free tier?
There isn't one. One free scan a month, no account, no card. The unlock for the full optimized resume, cover letter, and LinkedIn rewrite is a one-time payment from $19 — never a subscription.