What this tool extracts, and how it decides
The extractor reads the posting the way a recruiter's search does. It matches the text against a curated lexicon of 260+ skills, tools, and credentials that appear in real job postings, from "Python" and "Excel" to "forklift certified" and "HIPAA." It also catches qualification patterns the lexicon can't list exhaustively: degree requirements, licenses, and experience thresholds like "5+ years."
Placement matters as much as frequency. A skill listed under the posting's Requirements or Qualifications heading counts double compared to the same word in the company blurb, because that section is where employers state what they actually screen for. The "Top keywords to mirror" list is ranked by that weighted score, so the first ten terms are the ones this specific posting cares most about.
Anything repeated that the lexicon doesn't recognize lands in "Other repeated phrases." That bucket is deliberately unfiltered — industry jargon and company-specific terms show up there, and you are the judge of which ones belong on your resume.
Where the keywords go in your resume
Extracting the list is the easy half. Placement is what makes it work:
- Skills section: hard skills and tools go here verbatim, matching the posting's spelling. If the posting says "Google Analytics," write "Google Analytics," not "GA." A recruiter searching the applicant database types the full term.
- Summary: the two or three highest-ranked keywords belong in your opening lines, attached to your strongest claim. Unsure whether you need a summary at all? See summary vs. objective.
- Bullet points: soft skills should never appear as a bare list. "Cross-functional collaboration" is a claim; "shipped a payments feature with design, legal, and support teams" is evidence. Rewrite bullets so the keyword lives inside a concrete accomplishment.
- Qualifications: degrees, licenses, and certifications go in a dedicated section using the exact credential name and abbreviation, both if space allows: "Project Management Professional (PMP)."
For complete, role-specific models of what this looks like on a finished page, browse the resume examples library.
A ten-minute tailoring workflow
Tailoring a resume to a posting does not mean rewriting it. A practical pass, using this tool, takes about ten minutes:
- Extract the keywords, then read only the "Top keywords to mirror" list. Ignore the rest on a first pass.
- Cross off every term your resume already states verbatim. What remains is your actual gap list, and it is usually much shorter than it first appears.
- For each remaining hard skill you genuinely have, add it to your skills section using the posting's spelling. For each soft skill, find the one bullet point that best demonstrates it and sharpen that bullet instead of adding the phrase anywhere.
- Check the qualifications list last. If the posting requires a credential you hold but your resume abbreviates or omits, write it out in full. If it requires one you lack, decide now whether the application is worth your time; no keyword fixes that.
- Reread your summary. If the top two keywords are not in it, they should be.
Skills you do not have stay off the resume, full stop. Keyword matching gets you retrieved from the database; the interview that follows tests every claim on the page, and a fabricated skill costs you the offer at the exact moment it matters most.
Why keywords matter for ATS (the honest version)
More than 90 percent of employers use an applicant tracking system to make a first cut of applications, per a Harvard Business School study of over 2,250 executives. The persistent myth is that the ATS reads your resume and rejects it for missing words. What actually happens is less dramatic and more important: the ATS parses your resume into a searchable database record, and human recruiters then filter and search that database using the language of their own job posting.
That mechanism has two consequences. First, exact terms beat synonyms: the search for "accounts payable" does not return the resume that says "vendor invoicing." Second, your resume has to parse cleanly in the first place; keywords trapped in tables, text boxes, or graphics never make it into the record. Mirror the posting's language using this tool, and keep the formatting parseable — every template in the builder is built as a single clean text flow for exactly that reason.