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Keyword Optimization

Learn how ApplyrFlow helps you identify and use the right keywords to get past Applicant Tracking Systems (ATS) and catch recruiters' attention.

What Are ATS Keywords?​

Understanding ATS​

Most companies use Applicant Tracking Systems to:

  • Collect and organize applications
  • Screen resumes for relevant qualifications
  • Rank candidates by keyword matches
  • Filter out non-matching applications

The reality: Up to 75% of resumes are filtered out by ATS before a human sees them.

How Keywords Work​

ATS systems look for:

  • Hard skills - Technical abilities (Python, Excel, AutoCAD)
  • Soft skills - Interpersonal abilities (leadership, communication)
  • Job titles - Relevant positions held
  • Certifications - Professional credentials
  • Industry terms - Domain-specific vocabulary

How ApplyrFlow Identifies Keywords​

During Job Analysis​

When you analyze a job, ApplyrFlow identifies:

Required Keywords Terms that appear in "requirements" sections:

Required: Python, SQL, Data Analysis, Excel

Preferred Keywords Terms in "nice to have" sections:

Preferred: Tableau, Machine Learning, AWS

Frequency Keywords Terms mentioned multiple times:

"Collaboration" appears 5 times → High importance

In Your Match Results​

You'll see a breakdown of:

  • Matching keywords - Already in your resume
  • Missing keywords - Not found in your resume
  • Keyword density - How well keywords are distributed

Using Keyword Insights​

Step 1: Review Missing Keywords​

After running an analysis, check the missing keywords list:

Missing from your resume:
- Agile methodology
- Cross-functional collaboration
- Stakeholder management

Step 2: Categorize Each Keyword​

For each missing keyword, determine:

CategoryAction
Have the skillAdd to resume
Have similar skillReframe existing experience
Don't haveAddress in cover letter or skip

Step 3: Add Keywords Naturally​

Don't do this:

Skills: Python Python Python Data Analysis Data

Do this:

Led data analysis initiatives using Python, creating automated reports that reduced manual processing by 60%

Where to Place Keywords​

Resume Sections​

Summary (2-3 keywords)

Data Analyst with expertise in Python and SQL, specializing in transforming complex datasets into actionable business insights.

Skills Section (list relevant skills)

Technical Skills: Python, SQL, Tableau, Excel, Statistical Analysis

Experience Bullets (integrate naturally)

Managed cross-functional teams using Agile methodology to deliver quarterly product updates

Education/Certifications (if applicable)

AWS Certified Solutions Architect

Cover Letter​

Include 3-5 high-priority keywords that:

  • You couldn't fit naturally in your resume
  • Need context or explanation
  • Address gaps in your experience

Keyword Best Practices​

Do's​

Use Exact Matches

If the job says "JavaScript", don't just write "JS". Include both variations.

Match the Format

If they say "Bachelor's Degree", use that phrase, not "BA" or "undergraduate degree."

Include Acronyms AND Full Terms

Write "Search Engine Optimization (SEO)" to catch both searches.

Don'ts​

Don't Keyword Stuff

ATS and recruiters can detect unnatural keyword cramming. It's a red flag.

Don't Add False Skills

Never claim skills you don't have. You'll be found out in interviews.

Don't Use White Text

Some try hiding keywords in white text. Modern ATS catches this and may reject your application.

Common Keyword Categories​

Technical Skills​

CategoryExamples
ProgrammingPython, Java, JavaScript, SQL
ToolsExcel, Tableau, JIRA, Salesforce
PlatformsAWS, Azure, Google Cloud
MethodologiesAgile, Scrum, Waterfall

Soft Skills​

CategoryExamples
LeadershipTeam leadership, Mentoring, Strategic planning
CommunicationPresentation, Written communication, Stakeholder management
Problem-solvingAnalytical thinking, Critical thinking, Decision making

Industry-Specific​

Research common terms in your field:

  • Finance: Financial modeling, Risk assessment, Compliance
  • Marketing: SEO, Content strategy, Campaign management
  • Healthcare: HIPAA, Patient care, Clinical trials

Tracking Keyword Effectiveness​

In ApplyrFlow​

Monitor your keyword optimization:

  1. Check match scores before and after resume updates
  2. Note which keyword additions improve scores
  3. Track which resume versions get more interviews

Signs of Good Optimization​

  • Match scores consistently above 70%
  • More interview requests after updates
  • Recruiters mention specific skills in outreach

Frequently Asked Questions​

How many keywords should I include?​

Focus on 10-15 key terms for each job type you're targeting. Quality over quantity - each keyword should appear naturally.

Should I have different resumes for different keywords?​

Yes, if you're targeting different types of roles. Create versions optimized for each job category.

Do keywords work the same for all companies?​

Most ATS systems work similarly, but larger companies tend to rely on them more heavily. Small companies may not use ATS at all.

What about LinkedIn?​

LinkedIn has its own search algorithm. Include keywords in your:

  • Headline
  • Summary
  • Experience descriptions
  • Skills section