How to Use AI to Write a CV That Gets Past ATS Filters
Discover how to leverage AI tools to format, optimise, and refine your CV so it passes through Applicant Tracking Systems and reaches human recruiters.

Use AI to identify and incorporate ATS-friendly keywords from job descriptions that match your experience
Leverage AI tools to structure your CV with clean formatting, proper section headings, and logical bullet point hierarchy
Employ ChatGPT or similar models to craft achievement-focused bullet points that highlight metrics and impact
Validate your CV against ATS scanners before submitting to catch formatting issues that might cause rejection
Why This Matters
How to Do It
Extract Keywords from the Job Description Using AI
Restructure Your CV with ATS-Friendly Formatting
Optimise Your Professional Summary with Targeted Language
Rewrite Bullet Points to Highlight Metrics and Keywords
Customise Your CV for Each Application
Test Your CV Against ATS Scanners
Iterate Based on Feedback and Track What Works
What This Actually Looks Like
The Prompt
**Scenario:** Priya is a digital marketer based in Bangalore applying for a Marketing Manager role at a fast-growing e-commerce company in Singapore. Priya starts by copying the job description into ChatGPT and asks it to extract key skills and keywords. The AI returns: Technical skills (Google Analytics, marketing automation, SEO), soft skills (team leadership, cross-functional collaboration), and industry terms (e-commerce, customer acquisition, conversion optimisation). She then uploads her CV to Jobscan, which flags several issues: her two-column layout confuses ATS parsers, and she's missing key terms like 'conversion optimisation'. She restructures to a single-column format with standard headers. Her original bullet 'Managed social media campaigns' becomes 'Designed and executed integrated social media strategy across Instagram, Facebook, and TikTok for fashion e-commerce brand, driving 156,000 new customer acquisitions over 18 months.' After revisions, her Jobscan match jumps from 42% to 78%. Two weeks later, she gets an interview invitation.
Prompts to Try
Extract key skills, keywords, and qualifications from this job description, organised into categories: technical skills, soft skills, and industry-specific terms. Here's the job description: [PASTE JOB DESCRIPTION]
Rewrite these CV bullet points using the STAR method and incorporate these keywords naturally: [PASTE KEYWORDS]. Here are my current bullets: [PASTE CURRENT BULLETS]
Write a professional summary for a [JOB TITLE] role incorporating these keywords: [PASTE KEYWORDS]. Keep it to 3-4 sentences, focus on measurable outcomes, and reflect my experience: [PASTE YOUR BACKGROUND]
Compare this job description to my CV and identify gaps. What skills or keywords am I missing? Job description: [PASTE JOB DESCRIPTION]. My CV: [PASTE YOUR CV]
Review my CV for ATS compatibility. Check for inconsistent formatting, non-standard headers, and keyword density issues. Here's my CV: [PASTE YOUR CV]
Common Mistakes
Using creative formatting, graphics, tables, or multiple columns that ATS systems can't parse
Describing responsibilities rather than achievements in bullet points
Using a generic CV for every application
Mentioning important skills only once when the job description emphasises them repeatedly
Tools That Work for This
Parses your CV against a job description, identifying missing keywords and formatting issues. Provides a match percentage and specific recommendations.
AI-powered resume builder with built-in ATS compatibility checking and templates designed to pass ATS systems.
General-purpose AI assistants for rewriting CV content, extracting keywords, and identifying gaps.
AI-powered CV analysis tool that compares your resume against job postings and suggests improvements.
