Most ATS Advice Is Based on Myths
Search for “how to beat the ATS” and you’ll find thousands of articles telling you to stuff keywords, use invisible white text, avoid all formatting, and write in plain text. Most of this advice is either outdated, exaggerated, or flat-out wrong.
The problem is that people talk about “the ATS” as if it’s one system. It’s not. There are dozens of applicant tracking systems on the market, each with different parsing engines, scoring algorithms, and user interfaces. What fails on one platform works fine on another.
This guide explains how applicant tracking systems actually work, what the major platforms do differently, which myths you should ignore, and what genuinely matters when you’re formatting your resume for automated screening.
What an ATS Actually Does
An applicant tracking system is software that companies use to manage their hiring process. That’s it. It’s a database with a workflow engine. The ATS receives applications, stores them, and lets recruiters search, filter, and track candidates through the hiring pipeline.
Think of it less like a gatekeeper and more like an email inbox. Your resume goes in. A recruiter searches for it or filters a list. Whether they find yours depends on what’s in it and how they search.
An ATS typically handles three distinct functions: parsing, storing and sometimes ranking.
Parsing: How Your Resume Gets Read by Software
When you upload or paste your resume, the ATS runs it through a parsing engine. This engine attempts to extract structured data from your document: your name, contact information, work experience, education, skills and dates.
Parsing is not the same as reading. The parser doesn’t understand your resume. It identifies patterns. It looks for section headers like “Experience” or “Education.” It looks for date patterns like “Jan 2020 - Present.” It looks for company names followed by job titles followed by bullet points.
When parsing works well, the system creates a clean, structured record that a recruiter can search and filter. When parsing fails, your information ends up in the wrong fields or it shows up as a block of unformatted text that nobody wants to wade through.
Parsing accuracy varies significantly by platform. Taleo, one of the oldest and most widely used systems, has notoriously rigid parsing. Greenhouse, a newer platform popular with tech companies, handles modern resume formats much better. Workday sits somewhere in the middle.
Storage: Your Resume Lives in a Database
Once parsed, your resume sits in the company’s database. It stays there. When a new position opens months later, a recruiter can search the existing database before posting the job externally.
This is important because it means your resume needs to be findable, not just submittable. If your skills section says “ML” instead of “machine learning,” a recruiter searching for “machine learning” won’t find you. The ATS won’t make that connection for you unless the system has a built-in synonym dictionary (some do, most don’t).
Your resume in the database isn’t the PDF you uploaded. It’s the parsed version: structured fields of text that may or may not reflect what your original document looked like. This is why formatting matters for parsing, not for aesthetics.
Ranking: The Part Most People Get Wrong
Here’s where the biggest myth lives. Many job seekers believe that ATS systems automatically score and rank resumes, and that resumes below a certain score are automatically rejected. The reality is more complicated.
Some ATS platforms do offer ranking features. Taleo has a “Req Rank” system where the employer can set required and preferred qualifications and the system flags candidates who match. iCIMS has similar screening questions. But these are configured by the employer, and many employers don’t use them at all.
Other platforms like Greenhouse and Lever don’t automatically rank resumes. The recruiter sees every application and manually reviews them, or uses their own filtering criteria.
Even when ranking exists, it rarely works as a hard cutoff. Most systems flag candidates as “meets requirements” or “doesn’t meet requirements” based on simple knockout questions: “Do you have a work visa?” “Do you have 3+ years of experience?” These are binary yes/no questions, not sophisticated AI analysis of your resume content.
The myth of the “ATS score” has spawned an entire industry of resume scanning tools that give you a percentage match and tell you to optimize for a higher score. These tools are measuring their own algorithm, not the ATS the employer uses. A “95% match” on a third-party scanner means nothing about how Workday or Greenhouse will handle your resume.
The Major ATS Platforms
Understanding which system a company uses helps you calibrate your resume formatting. Here’s what you need to know about the big ones.
Taleo (Oracle)
Used by many Fortune 500 companies, government agencies and large enterprises. It’s old, clunky, and rigid.
What it does well: Keyword matching and knockout question screening. Where it struggles: Parsing complex formatting, multi-column layouts and non-standard section headers. Your strategy: Keep formatting simple. Use standard section names. Spell out acronyms at least once.
Greenhouse
Popular with tech companies, startups and mid-size firms. Modern interface, good parsing engine.
What it does well: Handles PDF parsing reasonably well. Clean interface for recruiters that makes manual review easier. Where it struggles: Limited built-in ranking. Relies heavily on recruiter manual review. Your strategy: Focus on making your resume easy for a human to read quickly, since that’s who will actually evaluate it.
Workday
Used by large enterprises across many industries. Integrated with HR and payroll systems.
What it does well: Good parsing for standard formats. Strong database search capabilities. Where it struggles: Complex application processes that frustrate candidates. Parsing non-standard layouts. Your strategy: Similar to Taleo: standard formatting, clear section headers, consistent date formats.
Lever
Popular with tech companies and startups. Combines ATS with CRM features.
What it does well: Modern parsing. Good candidate experience. Strong search functionality for recruiters. Where it struggles: Less common outside tech, so less widely discussed in general career advice. Your strategy: Clean formatting works well here. Lever handles modern resume designs better than legacy systems.
iCIMS
Used by mid-size to large companies across industries. Common in healthcare, retail and financial services.
What it does well: Screening question customization. Good database management for large volumes of applicants. Where it struggles: Parsing accuracy depends heavily on resume format. Your strategy: Standard formatting. Answer all screening questions completely, since incomplete answers often get auto-rejected.
What ATS Systems Can’t Do
Understanding the limitations of ATS technology is just as important as understanding its capabilities.
They Can’t Evaluate Quality
An ATS can tell whether the word “Python” appears on your resume. It cannot tell whether you’re good at Python. Quality assessment is still a human job. The ATS is a filter, not an evaluator.
They Can’t Read Context
If your resume says “I have no experience with project management,” some simple keyword-matching systems will flag “project management” as a match. More sophisticated parsing engines handle negation, but not all of them do.
They Can’t Parse Images
Text embedded in images is invisible to an ATS. This includes logos, icons and any text that’s part of a graphic element. If your name is in a header image, the ATS doesn’t know your name.
They Can’t Reliably Parse Tables
Multi-column tables are a common cause of parsing failures. The parser reads left to right, top to bottom. A two-column table will result in “Python 5 years JavaScript 3 years” being read as a single string rather than two separate skill entries. Some modern systems handle tables fine. Others scramble them completely.
They Can’t Handle Non-Standard Section Names
“Where I’ve Worked” instead of “Experience.” “My Superpowers” instead of “Skills.” Creative section headers are fun, but the parser expects standard labels. If it can’t identify your experience section, it can’t parse your work history.
Myths Debunked
Myth: ATS Systems Reject 75% of Resumes Automatically
This statistic appears in countless articles and has no credible source. It’s been attributed to various unnamed “studies” but has never been verified by independent research.
What actually happens: recruiters spend limited time reviewing applications, and many applications are poor matches. But that’s human filtering, not automated rejection. At companies using basic ATS platforms, every resume that gets submitted is visible to the recruiter.
Myth: You Need to Use Exact Keywords From the Job Posting
Keyword matching matters, but it’s not as rigid as people claim. If the posting says “project management” and your resume says “managed projects,” a human recruiter will see the match. Many ATS search engines also support partial matching and stemming.
That said, using exact terminology from the job posting doesn’t hurt. If the posting says “stakeholder management,” use that phrase rather than “working with stakeholders.” It costs you nothing and marginally improves findability.
Myth: White Text Tricks Work
The idea of pasting the entire job description in white text on your resume to game keyword matching is terrible advice. It might have worked on primitive systems 15 years ago. Modern ATS platforms detect hidden text and flag it. Even if they don’t, when a recruiter opens your resume and selects all text, they’ll see the hidden content and immediately reject you.
Myth: PDFs Are Unreadable by ATS
This was true for some systems in 2010. In 2023, every major ATS handles PDF parsing. PDF is the preferred format for most applications because it preserves formatting across devices.
The one caveat: PDFs created by scanning a printed page (image-based PDFs) are indeed unreadable. The ATS needs text-based PDFs, which is what you get when you export from Word, Google Docs, or any resume builder.
Myth: You Should Remove All Formatting
Bold text, bullet points and standard formatting are fine. The ATS strips formatting when it creates the parsed record, but the original document is still stored for human review. A completely unformatted resume is harder for the recruiter to read, which works against you.
What to avoid: text boxes, headers and footers (some parsers skip these), multi-column layouts in older ATS platforms and graphics or charts.
Myth: One-Page Resumes Parse Better
Page length has no effect on parsing. The parser reads the entire document regardless of page count. The one-page rule is a human preference, not a technical limitation.
What Actually Matters for ATS Compatibility
After separating myth from reality, here’s what genuinely affects how well your resume performs in an ATS.
Use Standard Section Headers
Stick with: Summary, Experience (or Work Experience), Education, Skills, Certifications, Projects. The parser knows these labels.
Use a Single-Column Layout
Multi-column layouts are the single most common cause of parsing errors. Use a single column for the body of your resume. A two-column header (name on left, contact on right) is usually fine.
Use Consistent Date Formatting
Pick one format and stick with it. “January 2020 - Present” or “Jan 2020 - Present” or “01/2020 - Present.” Don’t mix formats. The parser uses dates to construct your employment timeline.
Include Both Acronyms and Full Terms
First mention: “Search Engine Optimization (SEO).” After that, “SEO” is fine. This covers both recruiters who search for the acronym and those who search for the full term.
Submit in the Requested Format
If the application asks for a DOCX file, submit DOCX. If it asks for PDF, submit PDF. If it doesn’t specify, PDF is the safest choice.
Fill Out All Application Fields
Even if the ATS lets you upload a resume and auto-populate fields, review those fields. Correct any parsing errors. Fill in anything the parser missed. The structured data in these fields is often what the recruiter searches, not your uploaded document.
Don’t Use Headers and Footers for Critical Information
Some ATS parsers skip document headers and footers entirely. If your name, email, or phone number is in a Word header, it won’t be parsed. Put all contact information in the body of the document.
How to Test Your Resume’s ATS Compatibility
You don’t need a paid scanning tool. Here’s a free test:
- Save your resume as a PDF.
- Open the PDF.
- Select all text (Ctrl+A or Cmd+A).
- Copy it.
- Paste it into a plain text editor (Notepad, TextEdit).
If the pasted text is readable, in the right order and contains all your information, your resume will parse well. If it’s scrambled, duplicated, or missing sections, fix your formatting.
Beyond the ATS: Remember the Human
The ATS is step one. Step two is a human being with a stack of resumes and limited time. Optimizing for the ATS at the expense of readability is a mistake.
Your resume needs to work for both audiences. Clean formatting that parses correctly AND looks professional when opened as a PDF. Clear, specific bullet points that contain relevant keywords AND tell a compelling story about what you’ve accomplished.
If you’re looking for resume templates that are tested for ATS compatibility across major platforms, 1Template offers formats that parse cleanly while still looking polished to human readers.
For specific formatting tips to avoid common ATS pitfalls, read our guide on ATS-friendly resume formats and templates.
The best ATS strategy isn’t trying to trick the system. It’s writing a clear, well-formatted resume with relevant content. That approach works on every platform, every time.
