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ATSJune 18, 20265 min read

Resume keywords: use the job's words, not a stuffing list

Keyword panic sells courses. The honest version is simpler: mirror the language of the specific job, but only where it is true of you.

There is a whole industry built on résumé keywords, and most of it is noise. The useful idea underneath is small: a recruiter searches and filters the parsed text of your résumé, often using words lifted straight from the job description. If your résumé uses the same words for the same things, you surface. If you describe the identical skill in your own private vocabulary, you do not. That is the whole mechanism.

Mirror the job, do not pad it

The move is not to collect a hundred buzzwords. It is to read the one job in front of you and use its exact terms for the things you have actually done. If the posting says "data pipelines" and you built data pipelines, write "data pipelines," not "information workflows." Same skill, their words.

  • Match the noun. If they say "Kubernetes," do not write "container orchestration" and hope.
  • Match the seniority words only if they fit. "Led" means you led; otherwise "contributed to."
  • Spell an acronym out once with the short form beside it, so both are searchable.
  • Use the words where the work was real, in the bullet that describes it, not in a keyword graveyard at the bottom.

Why stuffing backfires

A wall of skills with no evidence reads as exactly what it is. A human sees it after the parser does, and an inflated list invites the one question you cannot answer in the interview. The point of matching language is to get a true résumé read correctly, not to impersonate a job you cannot do.

How lapel does it

When you tailor to a job, lapel reads the posting and suggests where your real experience could use the job's own language. Every suggestion arrives as a diff you accept or reject, and the system is built to never invent a skill you did not claim. You end up with the job's vocabulary mapped onto your actual work, which is the honest version of keyword optimisation.

Build one that parses.

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