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 .

LCA Digital Solution Consultant

Lingaro Group · India

Role description: - a hybrid role that combines the environmental rigor of a Life Cycle Assessment expert with the technical strategy of a Digital Consultant. Hence, to be competitive, the CV must demonstrate a good understanding of both the science of LCA and software architecture.

 

Responsibilities:

 

Building and maintaining complex LCA models for various products and materials using industry-standard software like SimaPro, GaBi, or openLCA.

Ensuring that all studies strictly adhere to international standards, specifically ISO 14040/14044, and support the creation of Environmental Product Declarations (EPDs)

Transforming LCA findings into practical business recommendations in line with company’s business goals and sustainability KPIs

Participating in cross-functional implementation LCA projects from design to delivery, translating business needs into technical specifications for developers and engineers

Building and implementing an integrated, automated LCA systems that deliver actionable insights at scale by using cloud software platform and API integrations

Bridging the gap between stakeholder vision and requirements and technical execution across Cloud, CRM, and Data Analytics ecosystems

Developing AI-driven solutions to speed up LCA and EPD generation

Leading technical and innovative LCA tasks and objectives, conducting research initiatives

Participating in pre-sales activities, creating a Proof of Concept (PoC), solution presentation deck and contributing to the general LCA offering

Qualifications For The Role 

 

A Bachelor’s or Master’s degree in Business, Information Systems, Science or related field – preferably Environmental Science/Technology.

2–5 years of professional experience in conducting LCAs 

Knowledge of the relevant standards applicable in the field of sustainability management and carbon accounting, such as ISO 14040 series, PEF, ISO 14067, GHG Protocol, PAS 2050, etc. 

Hands-on experience with cloud foundations (Azure, AWS, Google Cloud), APIs, data analytics tools (e.g. Databricks, Power BI).

Strong quantitative or technical background with an excellent aptitude for analytical thinking. Natural curiosity to investigate issues, conduct research, design solutions and translate results into business practices.

Basic programming experience will be beneficial.

Good written and spoken communication skills in English.

Strong presentation skills for explaining technical concepts to non-expert audiences.

 

Role description: - a hybrid role that combines the environmental rigor of a Life Cycle Assessment expert with the technical strategy of a Digital Consultant. Hence, to be competitive, the CV must demonstrate a good understanding of both the science of LCA and software architecture.

 

Responsibilities:

 

Building and maintaining complex LCA models for various products and materials using industry-standard software like SimaPro, GaBi, or openLCA.

Ensuring that all studies strictly adhere to international standards, specifically ISO 14040/14044, and support the creation of Environmental Product Declarations (EPDs)

Transforming LCA findings into practical business recommendations in line with company’s business goals and sustainability KPIs

Participating in cross-functional implementation LCA projects from design to delivery, translating business needs into technical specifications for developers and engineers

Building and implementing an integrated, automated LCA systems that deliver actionable insights at scale by using cloud software platform and API integrations

Bridging the gap between stakeholder vision and requirements and technical execution across Cloud, CRM, and Data Analytics ecosystems

Developing AI-driven solutions to speed up LCA and EPD generation

Leading technical and innovative LCA tasks and objectives, conducting research initiatives

Participating in pre-sales activities, creating a Proof of Concept (PoC), solution presentation deck and contributing to the general LCA offering

Qualifications For The Role 

 

A Bachelor’s or Master’s degree in Business, Information Systems, Science or related field – preferably Environmental Science/Technology.

2–5 years of professional experience in conducting LCAs 

Knowledge of the relevant standards applicable in the field of sustainability management and carbon accounting, such as ISO 14040 series, PEF, ISO 14067, GHG Protocol, PAS 2050, etc. 

Hands-on experience with cloud foundations (Azure, AWS, Google Cloud), APIs, data analytics tools (e.g. Databricks, Power BI).

Strong quantitative or technical background with an excellent aptitude for analytical thinking. Natural curiosity to investigate issues, conduct research, design solutions and translate results into business practices.

Basic programming experience will be beneficial.

Good written and spoken communication skills in English.

Strong presentation skills for explaining technical concepts to non-expert audiences.