Key Takeaways

  • 75% of U.S. employers use automated applicant tracking systems to screen resumes before a human reviews them (Harvard Business School & Accenture, 2021)
  • The most common ATS failures are missing keywords, incompatible formatting, and incorrect file types
  • ResumeGeni scores your resume across 8 parsing layers — modeled on the same steps enterprise ATS platforms like Workday, Greenhouse, and Taleo use to evaluate candidates

How ATS Resume Scoring Works

Applicant tracking systems parse your resume into structured data — extracting your name, contact info, work history, skills, and education — then score how well that data matches the job requirements. Many ATS rejections happen because the parser couldn't extract critical fields, not because the candidate wasn't qualified.

LayerWhat It ChecksWhy It Matters
Document extractionFile format, encoding, readabilityCorrupted or image-only PDFs fail immediately
Layout analysisTables, columns, headers, footersMulti-column layouts break field extraction
Section detectionExperience, education, skills headingsNon-standard headings cause sections to be missed
Field mappingName, email, phone, dates, titlesMissing contact info is a common cause of immediate rejection
Keyword matchingJob-specific terms, skills, certificationsKeyword overlap affects recruiter search visibility and ATS scoring
Chronology checkDate ordering, gap detectionReverse-chronological order is expected by most ATS
QuantificationMetrics, numbers, measurable outcomesQuantified achievements help human reviewers and some scoring models
Confidence scoringOverall parse quality and completenessLow-confidence parses get deprioritized in results

Frequently Asked Questions

Is ResumeGeni free?
Yes. ResumeGeni is currently in beta — ATS analysis, scoring, and initial improvement suggestions are free with no signup required. Full guidance and saved reports may require a free account.
What file formats are supported?
PDF, DOCX, DOC, TXT, RTF, ODT, and Apple Pages. PDF and DOCX are recommended for best ATS compatibility.
How is the ATS score calculated?
Your resume is processed through an 8-layer parsing pipeline that extracts structured data the same way enterprise ATS platforms do. The score reflects how completely and accurately your resume can be parsed, plus how well your content matches common ATS ranking criteria.
Can ATS read PDF resumes?
Yes, but not all PDFs are equal. Text-based PDFs parse well. Image-only PDFs (scanned documents) and PDFs with complex tables or multi-column layouts often fail ATS parsing. Our analyzer will flag these issues.
How do I improve my ATS score?
Focus on three areas: use a clean single-column format, include keywords from the job description naturally in your experience bullets, and ensure all sections (contact, experience, education, skills) use standard headings.

ATS Guides & Resources

Built by engineers with 12 years of experience building enterprise hiring technology at ZipRecruiter. Last updated .

Chief Revenue Officer, Human Data

Getwingapp · San Francisco

Chief Revenue Officer, Human Data Remote, San Francisco About Wing Wing is one of the world's largest virtual talent companies, venture-backed and based in San Francisco. Leveraging our scale, millions of applicants, and other operational expertise, we’re launching a dedicated AI data labeling & annotation subsidiary, empowering exceptional people to play a defining role in training the next generation of AI. We’re hiring a Chief Revenue Officer to run this business end-to-end. About the Role As Chief Revenue Officer of Human Data, you will own P&L, strategy, go-to-market, delivery/quality, security & compliance, and team building. You’ll build the business from zero, close key customers, help set up the operating engine, and report directly to Wing’s CEO.  Responsibilities: - Acquire new business from AI labs and tier-1 tech companies via your network, digital/in-person outbound - Own enterprise sales cycles end-to-end (discovery, scoping, pricing, MSA/SOW negotiation) - Attend meetings, consultations, events, etc. in person as needed and build key relationships - Build durable relationships with researchers, data/infra leaders, procurement, and legal; expand accounts - Own the business plan, pricing, margin targets, forecasting, and budget adherence. - Report on progress to senior leadershipFoster a culture of accountability, transparency, and operational rigor Requirements: - Primarily located in San Francisco, CA, with a willingness to travel around Northern California, the United States, and internationally as needed - Bachelor's degree in any discipline, ideally from a top institution - Outgoing, social, gregarious personality, willingness, and capability to always be building relationships - Great management skills: you will, to an extent, be responsible for a giant piece of an entire business unit and all that comes with it, people management, budgets, interfacing with finance, legal, operations, and more - Strong preference for someone who has led Sales & Commercials: Expert in complex MSAs/SOWs, pricing, and margin managementTrusted relationships across AI labs and leading tech companies; able to open doors and close enterprise deals - Expert in complex MSAs/SOWs, pricing strategy, and margin managementProven builder of multidisciplinary teams; excellent stakeholder managementDigital native (Google Workspace, Sheets, CRM) Nice-to-haves: - Experience selling to or operating within AI labs (RLHF, red-teaming, evals, multimodal) - Prior success taking a services P&L from $0 to $10M+ with healthy unit economics - Strong interest and understanding in artificial intelligence, machine learning, and LLMs