π 1. Target Job Description
π 2. Your Resume Text
π Compatibility Breakdown
β Matched Keywords (0)
β οΈ Missing Keywords & Skills (0)
π‘ Bullet Point Quality & ATS Screening Insights
Frequently Asked Questions About ATS Keyword Matching
How do Applicant Tracking Systems like Workday and Greenhouse parse keywords?
Modern ATS platforms extract text from PDF/DOCX resumes, normalize tokens (e.g., converting "CI/CD" and "Continuous Integration" into canonical skill tags), and rank applicants by comparing their resume keyword frequency against the recruiter's requisition criteria.
What is a passing ATS match score?
Most enterprise ATS filters look for a 75% to 85% keyword alignment score. Scores below 60% often trigger auto-rejection rules before a human recruiter ever sees the application.
Is keyword stuffing penalized by ATS algorithms?
Yes. Legacy tricks like invisible white text or random keyword lists trigger spam heuristics in modern systems like Workday 2026 and Greenhouse. Skills must be integrated naturally inside achievement bullet points with quantifiable impact.
How does TalentRuby help beyond simple keyword scanning?
TalentRuby enforces strict 1-to-1 structural mapping: it preserves 100% of your real career narrative, optimizes opening action verbs, and enriches authentic bullet points with target keywords only if you already possess the skill.