Resume Keyword Optimization

Match the job posting's language, without inventing anything

Paste a job posting and the engine extracts what it's actually asking for, checks it against your real experience, and rewrites your existing bullets to use the same terminology — only when that terminology is true of you.

Try It on a Real Job Posting

What the engine actually does

Fast Overlap Check, Zero AI Cost

Before any AI runs, the engine extracts every meaningful term from the job posting and compares it against your skills, summary, and experience bullets. If the overlap is too thin to be worth tailoring, you're told before any credits are spent — not after.

Rewrites, Never Copies

Your existing bullets get rewritten using the job posting's own domain terminology — not stuffed with copy-pasted phrases. The engine is explicitly instructed to never echo the job description verbatim back at the recruiter.

No Invented Tools or Metrics

The alignment step is bound by the same rule as the rest of the pipeline: reword and reframe existing achievements to match target keywords, never fabricate a tool, title, or number you didn't already have.

How the matching actually works

Term extraction: the job posting is scanned for every distinct meaningful term, then deduplicated against the same extraction run on your resume's skills, summary, and experience.

Overlap scoring: the two term sets are compared for real overlap. Below a minimum threshold, the job is flagged as a weak match before any language model is invoked — this is what keeps low-fit jobs from burning your monthly tailoring allowance.

Category rules: specific keyword clusters in the posting (CI/CD, cloud infrastructure, compliance frameworks, and similar) trigger a hard rule that forces the matching category of your existing bullets into the output — so relevant experience you already have doesn't get dropped for something flashier.

Grounded rewrite: the model rewrites your existing bullets to surface the posting's terminology where it's genuinely applicable, under the same zero-fabrication constraint used for the rest of your resume.

Curious how this fits into full resume tailoring end to end? Read How the Tailoring Engine Works.