The best resume keywords are already inside the job description. Your job is to separate the terms that matter from the filler, then show where you have used those skills in real work.
This matters because many recruiters search and filter by job title, tools, hard skills, certifications, and domain terms. A resume that uses different wording than the job posting can look less relevant than it really is.
You can do this manually with the process below, or use MatchCV to compare your resume against a job description after you sign in free.
Remove company boilerplate, benefits, equal opportunity language, and generic statements. Keep the role summary, responsibilities, requirements, and preferred qualifications.
You want to analyze the parts that describe what the person will actually do.
Hard skills are usually the strongest resume keywords.
Examples:
Add hard skills only when you can truthfully support them. If the job asks for Python and you have never used Python, do not add it.
Repeated words often reveal priority. If a posting mentions "forecasting" five times, that skill probably matters more than a tool mentioned once under preferred qualifications.
Look for repeated:
Repeated terms should be checked against your resume first.
Required qualifications matter most. Preferred qualifications can help you stand out, but they usually should not drive the entire resume.
Create two lists:
Your first tailoring pass should focus on the must-have list.
Sometimes the exact phrase matters. "Demand generation" and "lead generation" overlap, but they are not identical. "Customer success" and "account management" may also mean different things depending on the role.
If the job description uses a specific phrase and it honestly describes your work, use that phrase.
Example:
Put each keyword in the section where it makes sense:
Do not dump every keyword into one long skills list. Recruiters want evidence.
A keyword alone says "I know this." A bullet with a result says "I used this well."
Weak:
Strong:
The strong version contains keywords and proof.
Here is the requirements section of a typical mid-level posting, condensed:
"The Growth Marketing Manager will own paid acquisition across Google Ads and Meta, run A/B tests on landing pages, manage a $150k monthly budget, and partner with sales on lead quality. Requirements: 4+ years in B2B demand generation, hands-on experience with HubSpot and Google Analytics, strong SQL skills preferred, experience with attribution modeling a plus."
Extracting with the steps above produces this keyword map:
| Keyword | Type | Priority |
|---|---|---|
| Growth Marketing Manager | Job title | Must use in summary |
| paid acquisition | Method | Must-have |
| Google Ads, Meta | Tools | Must-have |
| A/B testing (landing pages) | Method | Must-have |
| budget management ($150k/mo scale) | Scope signal | Must-have — mirror the scale |
| B2B demand generation | Domain | Must-have |
| HubSpot, Google Analytics | Tools | Must-have |
| SQL | Tool | Nice-to-have ("preferred") |
| attribution modeling | Method | Nice-to-have ("a plus") |
Nine minutes of work, and now every edit you make has a target. Note the scope signal: "$150k monthly budget" is not a keyword to copy but a scale to match — if you managed $200k monthly, say the number.
Different functions hide their keywords in different places. What to look for, by field:
The pattern across all fields: nouns for tools, verbs for methods, numbers for scope. Extract all three types every time.
Before submitting, compare the job description and your final resume one more time.
Ask:
You can run a quick format check with the free ATS resume checker, or paste a job posting into our resume keyword scanner to see exactly which must-have keywords your resume is still missing. For job-specific keyword matching, sign in free and let MatchCV find the gaps between your resume and the exact job description.
Aim for 8–12 must-have terms and 3–6 nice-to-haves. Beyond that you hit diminishing returns: the goal is covering the requirements a recruiter would search for, not reproducing the posting. If you extract 25+ "keywords," you're including filler.
Use exact wording for tools, certifications, and established phrases ("customer success," "demand generation") — recruiters search literal strings. Vary naturally elsewhere. A resume that matches key phrases exactly but reads naturally is the target; a resume that clones the JD sentence-by-sentence reads as desperate.
Check whether an existing bullet can carry it. "Built dashboards for the sales team" becomes "Built Tableau dashboards for the sales team" at zero added length. Most keyword gaps close by making existing bullets more specific, not by adding lines.
Some systems index cover letter and form-field text, most recruiter searches run against the resume. Treat the resume as the only document that must carry your keywords; anything else is bonus coverage.
Yes — paste the posting into the resume keyword scanner and it returns the must-have terms and checks them against your resume in one pass. The manual method above is worth doing a few times regardless: it trains you to read postings the way recruiters write them.
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