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    Resume Tips

    Resume Keywords That Actually Matter for ATS Systems

    6 min read

    You've probably heard that you need "keywords" on your resume to get past ATS filters. That advice is correct but incomplete - because it usually gets applied in the worst possible way.

    Keyword stuffing (hiding white text, repeating phrases unnaturally, copying the entire job description into your resume) doesn't work. Modern ATS systems are smarter than that, and recruiters notice.

    What does work is understanding how ATS matching actually functions and writing your resume accordingly.

    How ATS keyword matching works

    At a basic level, ATS systems parse your resume into structured data - name, contact info, work history, skills, education - and then compare that data against the job posting.

    The comparison isn't just "does this word appear?" Most modern systems use weighted matching. Required skills matter more than preferred ones. Recent experience is weighted more than older roles. Exact matches score higher than synonyms.

    Your goal isn't to cram in as many keywords as possible. It's to make sure the important ones are present, in context, in the right places.

    Where to find the right keywords

    The job description is your primary source. Read it carefully and pull out:

    • Hard skills: Specific tools, technologies, and platforms. "Salesforce," "Python," "Google Analytics," "Figma." These are usually non-negotiable for matching.
    • Job-specific terminology: Industry terms that signal you know the domain. "Pipeline management" for sales, "sprint planning" for engineering, "patient outcomes" for healthcare.
    • Qualifications: Certifications, degrees, clearances. "PMP," "CPA," "Series 7." If they mention it, include it.
    • Soft skills (sometimes): These matter less for ATS but more for recruiter scans. "Cross-functional collaboration," "stakeholder management," "mentorship."

    Where to put them

    ATS parsing gives different weight to different sections. Here's where keywords have the most impact:

    Skills section. This is the most important section for keyword matching. List your technical skills, tools, and certifications explicitly. Don't assume the ATS will infer "JavaScript" from your job description where you mention building a web app.

    Job titles and descriptions. Use the standard job title the industry uses, even if your actual title was different. And weave key terms naturally into your bullet points.

    Professional summary. A few sentences at the top with your core competencies help both ATS matching and recruiter skimming.

    The difference between matching and stuffing

    Matching: "Led migration from on-premise infrastructure to AWS, reducing hosting costs by 40% and improving uptime to 99.99%."

    Stuffing: "AWS cloud infrastructure migration cloud computing Amazon Web Services cloud-based solutions AWS certified."

    The first example uses the keyword naturally and demonstrates expertise. The second triggers spam filters and makes recruiters cringe. Your resume will be read by a human eventually - it needs to sound like a human wrote it.

    Tailoring per application

    Here's the inconvenient truth: the "right" keywords change with every job posting. A product manager role at a fintech company needs different keywords than the same role at a healthcare startup.

    Manually adjusting your resume for each application is the most effective approach, but it's also incredibly time-consuming. This is one of the strongest use cases for AI resume tailoring - it handles the per-application keyword optimization automatically.

    Plushly analyzes each job description and adjusts your resume's keywords, phrasing, and emphasis to match. You get a tailored application without spending 20 minutes per job.

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