Understanding Applicant Tracking Systems (ATS) Software Before Submitting a Resume

Published April 1, 2026

Artificial Intelligence has transformed the recruitment industry, changing how employers review applications and how job seekers must approach their job search. While there have been legal and ethical questions about its use, including but not limited, to unintentionally reinforcing bias, lacking transparency with reference to privacy, and enabling discriminatory decisions at scale, Applicant Tracking Systems (ATS) makes it nearly impossible for job seekers to avoid them in the application process. Notably, many companies now employ AI ATS, which also actively analyzes candidate data, ranks applicants based on context (not just keywords), and automates repetitive administrative tasks. Companies primarily rely on ATS, to manage overwhelming numbers of applications. As a result, job seekers can no longer depend on sending a general resume and hoping for the best. Instead, they must understand how these systems work and use targeted strategies to improve their chances of securing interviews.

Applicant tracking systems play a central role in modern hiring because they help recruiters sort through large volumes of applications quickly. For example, companies can receive as many as 2,000 applications in one day. Since no recruiter can realistically review that many resumes manually, companies use ATS software to filter applicants based on skills, education, experience, and other criteria. These systems then produce a smaller list of top candidates for human review. Nearly all Fortune 500 companies use ATS, whether they purchase them from outside vendors or build them internally. Different systems interpret resumes differently, which can affect whether a candidate advances in the hiring process. For example, one system may fail to recognize abbreviations, while another may not be able to read charts, tables, or images. Some systems rank candidates using health bars or letter grades, while others highlight missing skills that may cause a recruiter to reject an applicant immediately. Because of these differences, job seekers need to tailor their resumes carefully to each specific job and company. Tools like Jobscan can help by identifying which ATS a company uses and showing job seekers how to optimize their resumes for that system.

Although ATS technology is important, resumes are only one part of a successful job search. Recruiters also care about LinkedIn profiles, cover letters, measurable achievements, and referrals. An updated LinkedIn profile can make a candidate more attractive because recruiters often review profiles to confirm information and track growth over time. Personalized cover letters can also improve interview chances, especially when they demonstrate alignment with a company鈥檚 values. In addition, recruiters want resumes to show measurable impact, such as accomplishments supported by numbers. Perhaps most importantly, networking and referrals can help job seekers bypass ATS filters altogether, giving them a much better chance of landing an interview.

Overall, AI and automation have made the hiring process faster, more complex, and more competitive. Job seekers entering today鈥檚 job market must understand that recruitment decisions are influenced by technology long before a human recruiter reviews an application. However, job seekers can improve their success by learning how ATS systems work, tailoring their materials, maintaining a strong LinkedIn presence, and building professional connections. In this new hiring landscape, preparation and strategy matter more than ever.

Students at MD传媒入口 can facilitate Jobscan, which provides ATS Optimization: it analyzes your resume to ensure it aligns with applicant tracking systems (ATS); job description matching; tailor your resume by comparing it to speci铿乧 job descriptions, and actionable feedback: and receive clear suggestions to improve your resume and increase your chances of getting noticed.

For more information go to  link to Job Scan.

Portions of this article鈥檚 content was created through a presentation entitled, AI in Recruitment - How Artificial Intelligence is Changing the Hiring Game, presented by the Senior Customer Success and Education Manager at Job Scan for the MD传媒入口 Career Development Center. 

This article is for educational use only.