Hiring has changed. Most large companies now use AI-powered tools to pre-screen resumes before a human ever gets involved. Here’s exactly how to write a resume that works with these systems, not against them.

Understand what AI is looking for

Modern resume screening AI does three things:

  1. Extracts structured data — your name, contact info, job titles, companies, dates, skills
  2. Matches keywords — compares your content to the job description
  3. Scores relevance — ranks you against other applicants

Your goal is to make it as easy as possible for the AI to extract accurate information and find the keywords it’s looking for.

Structure that works

Use these exact section headings — AI systems are trained on thousands of resumes and recognize these patterns:

  • Contact Information (at the top, in the main body)
  • Professional Summary or Summary
  • Work Experience or Experience
  • Education
  • Skills
  • Certifications (if relevant)

Don’t get creative with headings. “Where I’ve Worked” or “My Story” might sound interesting to humans but confuses AI parsers.

The keyword strategy

This is the most important part. Here’s the process:

Step 1: Copy the job description into a text document.

Step 2: Highlight every skill, tool, qualification, and responsibility mentioned.

Step 3: Check which ones appear in your resume. Add the ones you actually have, using the exact same phrasing.

For example, if the job says “Proficient in Salesforce CRM” — don’t write “experienced with sales software.” Write “Salesforce CRM.”

Tip: The same skill might appear 3-4 times in a job description. That’s a signal it’s important. Make sure it appears in your resume too.

Formatting rules

Do:

  • Use standard fonts (Arial, Calibri, Georgia, Times New Roman)
  • Use bullet points with consistent formatting
  • List dates in a consistent format (e.g., Jan 2022 – Mar 2024)
  • Keep it to 1-2 pages

Don’t:

  • Use tables or text boxes
  • Put important information in headers or footers
  • Use icons, logos, or graphics
  • Use columns (they confuse most parsers)
  • Include a photo

The summary section

AI pays close attention to your summary because it’s dense with keywords. Write 3-4 sentences that include:

  • Your current title or specialization
  • Your years of experience
  • 2-3 key skills that match the role
  • A notable achievement or result

Example: “Product Manager with 6 years of experience in B2B SaaS. Skilled in Agile methodologies, Jira, and cross-functional team leadership. Led product roadmap that increased user retention by 34%.”

Test before you apply

Before sending any application, check your ATS score. Upload your resume to ResumeLink — it’s free and takes 10 seconds — and see how well it’s optimized. The score gives you a quick read on whether your resume is likely to make it through automated screening.

A score above 85% means you’re in good shape. Below 70% means there’s work to do.

The bottom line

Writing for AI doesn’t mean writing badly. The same principles that make a resume easy for AI to parse — clear structure, specific keywords, consistent formatting — also make it easier for humans to read.

Get the basics right, mirror the job description, and test your resume before you apply. That’s it.