Applicant tracking systems, commonly used by mid-size and large employers, function as databases for organizing applications, not as AI-powered scoring mechanisms. These systems parse resumes into structured fields like name, experience, and skills, and a resume's failure to pass through often stems from parsing errors or a lack of relevant keywords. To improve visibility, job seekers should prioritize ensuring their resume parses correctly by avoiding elements like text within images and unusual formatting, and strategically incorporating key terms from job descriptions. Tailoring resumes to specific roles, rather than using a generic document, can also significantly improve searchability.
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