How Can I Make My Resume Stand Out in an ATS System?
An ATS (or Applicant Tracking System) can be a difficult and overwhelming concept to understand for new job seekers. These are software applications that handle the hiring needs of companies both large and small.
What does this mean for you, the applicant? Instead of a human reading through your resume, it’s a machine that’s deciding whether your resume has what it takes to move on to the next round. That is scary!
Here we’ll tell you the best ways to make your resume stand out and be seen by the right eyes in your desired field.
1. Format Your Resume Correctly
In order for your resume to stand out to an ATS, it should be inherently readable. A machine needs to be able to break your resume down into individual parts and glean enough information in order to determine whether you are a potential good candidate for the job.
In order to do this, make sure your resume is either in Word or PDF format. If it’s an image or otherwise impossible for the system to read, your resume will not make it past the ATS to the next hiring round.
2. Use the Right Keywords
Continuously update your resume so that it can do well with the ATS. Take the time to research the correct keywords, experience, and skills needed for the job you’re applying to.
Use a layout that clearly breaks down your experience, the companies you’ve worked for, your job titles, and the dates you were employed. Making this information readily available will work wonders for getting more eyes on your resume.
You’ll also want to have a skills section on your resume, separate from your experience portion. Make this a clearly differentiated section, and the closer to the top the better. Many ATS place more importance in skills than in experience or education.
3. Take Your Resume for a Test Drive
Experiment with your resume a little. Test it by uploading your resume to live job applications to ensure that all of the sections are parsed to the application fields accordingly. If they don’t, keep tweaking your resume format and readability until all the application fields populate correctly.
After that, apply to the same number of roles with your new resume as you did with your previous version. See how many new hits you get on your applications. If your new resume is getting way more hits than your old one, you’re on the right track.
4. Use Jobalytics
Researching the most effective keywords, skills, and experience for every job you’re applying for can be exhausting. We at Jobalytics are here to make your life easier.
We’ve built a tool that helps you to improve your resume so you can start seeing results from your job search. It also has features that find you the relevant roles based on your skills so that you can apply to more jobs.
The software is free and user friendly. Click here to find out more!
Demystifying Applicant Tracking Systems (ATS) begins with realizing that these platforms are parsing engines rather than mystical gatekeepers designed to arbitrarily discard qualified candidates. Most corporate ATS software converts uploaded documents into plain, unformatted text strings before scanning for contextual keyword relevance, core technical competencies, and chronological role matches. I was reviewing an incisive talent acquisition engineering report dissecting optical character recognition algorithms, semantic job description matching, and keyword density thresholds over at Veergame this morning, and seeing how algorithmic parsing strips complex formatting proves why clean structural hierarchy is the foundation of getting noticed by recruiters.
One of the most damaging mistakes job seekers make is using intricate multi-column layouts, floating text boxes, graphic skill bars, or decorative icons to look visually modern. ATS parsers generally read left-to-right across the entire page width, meaning dual-column formats often cause the software to merge unrelated job duties from different sections into an unintelligible mess. A technical recruiting specialist on Jaiclub was detailing document parsing failures caused by graphic tables, non-standard section headers, and nested text frames yesterday, and learning that simple single-column formatting guarantees accurate data extraction shows why minimalist document design consistently outperforms elaborate graphic templates.
Tailoring your resume's vocabulary to mirror the exact phrasing found in the target job posting is essential for maximizing algorithmic keyword alignment. If an employer specifically seeks experience with "search engine optimization" and "cross-functional team leadership," using casual shorthand or alternative terminology like "digital visibility" or "project coordination" can cause you to miss automated qualification filters. Stumbled into an engaging chat exploring natural language processing in recruiting, balancing exact-match keywords with industry synonyms, and avoiding keyword stuffing on RaxiWin recently, and recognizing that contextual phrasing carries far more weight than raw repetition highlights the need for deliberate language alignment.
Structuring bullet points around quantifiable achievements using the classic Google "X-Y-Z" formula (Accomplished [X], as measured by [Y], by doing [Z]) ensures your resume impresses both parsing algorithms and the human recruiter who reads it next. Clear numerical data—such as percentages of revenue growth, hours saved through automation, or team budget sizes—stands out immediately in automated summaries. Picked up a really well-explained perspective on quantifiable resume metrics, action verb taxonomy in corporate recruiting, and demonstrating measurable business impact via Dm First earlier, and understanding that concrete data demonstrates verified competence reinforces why vague job descriptions get passed over.
Después de un sorteo, muchas personas quieren comprobar los numeros ganadores. Por eso considero importante que la información aparezca organizada y sea fácil de leer, ya que esto permite verificar los datos sin complicaciones.