ATS Keywords: How to Find Them, Use Them, and Not Overdo It

ATS keywords are the specific words and phrases an Applicant Tracking System looks for when deciding whether your resume matches a job posting. Get them right, and your resume moves forward to a human reviewer. Get them wrong — or pile them in unnaturally — and you're out before anyone reads your name. Mastering how to find the right ATS keywords, use them effectively, and avoid the over-optimisation trap is one of the most practical and high-leverage skills you can develop in your job search.

Quick Answer

ATS keywords are the terms from a job description that the system uses to score and rank resumes. Find them by carefully analyzing job postings for required skills, tools, and qualifications. Use them naturally throughout your resume — particularly in your summary, experience bullets, and skills section — and aim for a keyword match rate of 75–80% without artificial repetition or stuffing.

What Are ATS Keywords, Exactly?

ATS keywords fall into a few distinct categories, each carrying different weight depending on the role:

• Hard skills — specific technical abilities: Python, Google Analytics, AutoCAD, Salesforce, IFRS accounting standards
• Soft skills — behavioral language embedded in job descriptions: "stakeholder management," "cross-functional leadership," "comfort with ambiguity"
• Qualifications — education levels, certifications, and experience thresholds: "PMP certified," "CPA," "5+ years in B2B sales," "master's degree"
• Job titles — both the title you're targeting and titles of roles you've held that demonstrate progression
• Industry-specific terminology — jargon native to the field: "SaaS," "agile methodology," "GAAP compliance," "omnichannel marketing"

Understanding which category a keyword belongs to helps you prioritize — hard skills and stated qualifications typically carry the most weight in ATS scoring.

How to Find the Right Keywords

Method 1: Read the Job Description Line by Line

Copy the job description into a document and read it carefully with a highlighter mindset. Mark:

• Every skill or tool mentioned by name
• Every responsibility phrased as a required capability
• Every qualification listed under "Requirements" or "Must Have"
• The exact job title as the employer has written it

Pay particular attention to terms that appear more than once. Repeated words are a signal of priority — the employer is telling you what matters most.

Method 2: Analyze Multiple Job Postings for the Same Role

Find 3–5 job postings for similar roles at different companies. Look for keywords that appear across all of them. These are the industry-standard terms for your target function — the core keyword set that will perform well regardless of which specific company's ATS you're submitting to.

For example, if you're targeting marketing analyst roles and every posting mentions "Google Analytics," "A/B testing," and "attribution modeling," those belong in your skills section and ideally appear in your experience bullets too.

Method 3: Study LinkedIn Profiles of People in That Role

Search LinkedIn for people who currently hold the title you're targeting. Look at how they describe their skills, the keywords they feature in their about sections, and the language they use in their experience entries. This gives you a real-world view of how professionals in your target function present themselves — and reveals what terminology is standard in that industry.

Method 4: Use a Keyword Analysis Tool

Free tools like Jobscan let you paste both the job description and your resume side by side, then generate a match score and a list of missing keywords. This takes the guesswork out of the process entirely. Similarly, Resupen analyzes the job description automatically and aligns your resume to match — pulling the most relevant keywords and integrating them into the right sections for you.

Where to Use Keywords in Your Resume

In Your Professional Summary

Your summary should include 2–3 of the most important keywords for the role. This is typically the first section the ATS processes and the first thing a human skims, so lead with the terms that matter most.

Example for a data analyst role:

"Results-oriented data analyst with 6 years of experience in SQL, Python, and Tableau. Specializes in building scalable data pipelines and delivering actionable insights to cross-functional teams in fast-paced SaaS environments."

In Your Work Experience Bullet Points

This is where the bulk of your keyword integration should happen — naturally, within descriptions of real work you've actually done. The goal is to find the authentic overlap between what the job is asking for and what you've genuinely accomplished.

• "Built and maintained SQL queries to support a weekly executive dashboard, reducing manual reporting time by 40%"
• "Collaborated cross-functionally with product, engineering, and marketing to define and track KPI frameworks"

In Your Skills Section

List technical and functional skills using the exact terminology from the job description. If the posting says "Google Tag Manager," don't abbreviate to "GTM" — write the full name. Include both abbreviated and full versions when both forms are common: "Search Engine Optimisation (SEO)."

In Your Certifications and Education

Use the full official name of any certification relevant to the role: "Project Management Professional (PMP)," "Google Analytics 4 Certification," "AWS Certified Solutions Architect – Associate." These are often exact-match searched by recruiters.

How NOT to Use Keywords

Don't Keyword Stuff

Keyword stuffing — repeating terms unnaturally or listing the same phrase five times — is both an ATS risk and a human red flag. Sophisticated ATS systems can flag suspiciously high keyword density. And if a recruiter does read your resume, a paragraph dense with buzzwords reads as hollow.

Bad: "Experienced in project management, project planning, project delivery, project coordination, project leadership, and project execution."

Better: "Delivered 14 cross-functional software projects on time and within budget, coordinating between engineering, design, and product management teams."

Don't Include Keywords You Can't Back Up

If you add a keyword because it's in the job description but you have no genuine experience with it, you'll be exposed the moment the interviewer asks you to demonstrate it. Optimize honestly. If you have adjacent experience, say so: "Experience with Salesforce CRM; currently building proficiency in HubSpot" is honest and shows initiative.

Don't Strip Keywords of Context

Keywords work best when anchored to evidence. "Managed budgets" is a keyword. "Managed a $2.4M annual budget across three product lines, finishing 3% under target for two consecutive fiscal years" is a keyword with proof. Context makes the keyword credible to both the ATS and the human reviewing your parsed profile.

Balancing ATS Optimization with Human Readability

The best resumes read naturally to a human and still score well on ATS keyword matching. The key is to integrate keywords into your real accomplishments rather than bolting them on as an afterthought.

A practical workflow:

1. Write your resume honestly — focus on what you've actually done and the results you've produced
2. Run it against the target job description and identify the keyword gap
3. Find natural places to integrate missing keywords — usually in bullet points or the skills list
4. Read the final version aloud — if it sounds forced, revise the phrasing until it flows

Frequently Asked Questions

How many keywords should I include?

There's no fixed number — aim for a keyword match rate of 75–80% with the job description rather than a specific count. For a typical posting with 20–30 distinct required skills and competencies, that means your resume should reflect 15–24 of them across the document.

Should I tailor keywords for every application?

Yes, every time. Even two job descriptions with identical titles will use different language, emphasize different tools, and weight different competencies. Tailoring keywords to each specific posting is the highest-ROI action in any job search.

Do different ATS platforms weight keywords differently?

Yes, the weighting and parsing logic varies across platforms like Workday, Greenhouse, and Taleo. The practical response is to focus on universal best practices — exact matches, natural integration, standard formatting — rather than trying to optimize for a specific system you probably can't identify from the outside.

What if I'm missing a keyword the job requires?

If it's a hard requirement you genuinely don't meet, no keyword optimization will get you past the interview stage. But if it's a tool or skill adjacent to your experience, describe that honestly: "Familiar with Python fundamentals; primary experience in R for statistical analysis." Adjacent experience with honest framing is always better than fabrication.