Optimize Resume for Job Description

Turn a generic resume into a targeted one for a specific job description. See exactly which phrases to weave into your experience, skills, and summary — without sharing your resume with a server.

Client-side onlyNo signupInstant score

Tailoring a resume without tripping into keyword stuffing

The right way to tailor a resume is to take the language a specific employer uses for a specific role and — where you have actually done that work — mirror that language in your experience bullets, summary line, and skills list. The wrong way is to paste a wall of keywords at the bottom of the resume. The first approach gets you through the ATS and into an interview. The second approach gets you past the ATS and rejected in the screening call.

This tool is built for the first approach. It surfaces the phrases the job description weights most heavily, compares them against your current resume, and shows you exactly what is missing. Your job is to decide which of those phrases describe work you have genuinely performed and to integrate them into the relevant experience bullet naturally.

Where in the resume to add missing keywords

The three highest-signal locations are: the summary line at the top of the resume, the skills or technical skills section, and the experience bullets of your most recent role. ATS systems weight recency, so a keyword that appears only in a five-year-old job is worth less than the same keyword in your current or most recent role.

Avoid adding missing keywords to a 'Keywords' or 'Other' section at the bottom of the resume. That pattern is obvious, adds no context, and often triggers negative signals in modern ATS products. Instead, rewrite an experience bullet so the keyword appears in context: not 'used Kubernetes' but 'migrated a 40-service monolith to Kubernetes, cutting deploy time from 45m to 6m'.

Iterating: run, edit, re-run

Treat this tool as part of an edit loop. Run the match, note the top 5 missing keywords, edit your resume to integrate 2–3 of them naturally, then re-run. The score should move noticeably. If it doesn't, the edits were either in a low-weight location or the keywords were not the ones the JD cares about.

A good end state for a targeted resume is a match score in the 75–90 range, with the missing keywords either absent from your actual experience (legitimately — don't fake them) or consisting of generic JD filler that doesn't describe substantive work. At that point your resume is about as tailored as it can be for that specific role without fabricating experience.

How many keywords should I try to add?

Focus on the top 5–10 missing keywords. Adding more than that usually means you're either stuffing or adding phrases you don't actually have experience with.

Should I edit keywords into every experience bullet?

No. Concentrate on your most recent role and your summary line. ATS systems weight recent experience more heavily than older work.

What if the JD is poorly written and produces weird keywords?

That happens. Ignore obviously generic phrases like 'strong communication' if they dominate the list and focus on the domain- or tool-specific terms underneath.

Does the tool rewrite bullets for me?

Not in the free, client-side version — rewriting requires an AI model. This tool gives you the target keywords; you write the bullet with real context from your work.

Can I use this for cover letters too?

Yes. Paste your draft cover letter as the 'resume' input and the JD as the job description. The missing keywords highlight phrases worth weaving into the letter.