Resume guides

ATS-friendly résumés: what actually matters

Applicant tracking systems are database tools, not judges. They rarely reject a candidate on their own — but a document they cannot parse arrives at the recruiter's screen as garbled fields and missing dates.

What an ATS actually does

• Extracts text from your file and maps it to fields: name, employer, title, dates, education, skills.
• Stores the result so recruiters can search the candidate pool by keyword.
• Ranks or filters candidates only when a recruiter configures it to.

So the goal is not to trick a machine. The goal is a document that parses cleanly and contains the words a recruiter would search for.

Formatting rules that keep parsing clean

• Use a single-column layout. Two-column designs frequently interleave text during extraction.
• Put contact details in the body, never in a header or footer element.
• Avoid text inside images, icons, text boxes and charts — none of it is extracted.
• Use standard section headings: Experience, Education, Skills. Creative labels like 'My journey' are not recognised.
• Use a common font and plain bullet characters.
• Write dates consistently, e.g. 03/2021 – 08/2024.
• Submit PDF unless the posting asks for .docx.

Keywords without keyword stuffing

Take the job posting and list the nouns: tools, certifications, methodologies, domains. Those are the searchable terms. Include each one where it is true, inside a real sentence about real work.

Hidden text and other tricks

White-on-white keywords, invisible fonts and prompt-injection lines aimed at AI screeners are detected and treated as fraud by most employers. The downside is disqualification and a blacklist entry; there is no upside.

A two-minute self-test

1. Open your PDF, select all, copy, paste into a plain text editor.
2. Read the result. If the order is scrambled or fields are missing, the ATS sees the same thing.
3. Check that employer names, titles and dates each survived on their own line.