How ATS Resume Scoring Works

What ATS systems actually do

ATS platforms — Workday, Greenhouse, Lever, iCIMS, Taleo, and others — are used by employers to manage incoming job applications at scale. When you submit your resume, the ATS receives the file, attempts to extract structured information from it, and stores your application in a searchable database.

Core ATS functions:

• Receiving and storing applications from job boards (Naukri, LinkedIn, Indeed) and direct career site submissions
• Parsing resume content — extracting name, contact details, work history, education, and skills into structured fields
• Enabling recruiter search and filtering across the full applicant database
• Tracking candidate status through hiring stages
• In some configurations, surfacing ranked shortlists based on keyword rules or score thresholds set by the recruiter

The importance of each function varies by company. Some recruiters use the ATS primarily as a database and do manual review. Others rely on keyword filters to reduce a large applicant pool before human review begins. There is no single universal ATS behaviour — every employer configures their system differently.

How your resume gets parsed

Parsing is the process of extracting structured information from your resume's text. ATS parsers work best on clean, text-based documents. Common formatting choices create parsing problems:

• Multi-column layouts: text in adjacent columns is often read left-to-right across both simultaneously, producing garbled extraction
• Tables: cell content may be extracted out of order or merged incorrectly
• Text boxes and shapes: content placed inside text boxes is sometimes ignored entirely
• Headers and footers: contact information in a document header or footer may not be extracted into the candidate profile
• Graphics or images containing text: not readable by text-based parsers
• Non-standard section labels: 'My Career Journey' or 'What I've Done' may not be recognised as experience sections

File format matters too. DOCX and text-selectable PDFs are generally parsed reliably. Scanned PDFs (image-based documents) typically cannot be parsed by text extraction and may result in an effectively blank profile in the ATS database.

How keyword matching works

After parsing, many ATS systems compare your resume's extracted text against the job description to assess relevance. This is typically text-based matching, not semantic understanding. 'Data visualisation' and 'Tableau' are treated as different terms unless both appear in your resume.

Keywords can appear across multiple sections and still count:

• Experience bullets: 'Built Tableau dashboards for monthly sales reporting'
• Skills section: 'Tableau, Power BI, SQL, Python'
• Project descriptions: 'Developed interactive Tableau report for executive review'
• Summary section: '...experienced in Tableau and Power BI data visualisation...'

Keyword presence without context — listing every skill from the job description with no surrounding experience evidence — is visible to human reviewers and does not improve your candidacy after the initial filter.

What ATS scoring typically reflects

ATS scoring approaches vary significantly across platforms and employer configurations. In general, ATS-based scoring tends to capture:

• Keyword overlap between your resume text and the job description
• Completeness of standard resume sections — work history, education, skills
• Absence of formatting issues that cause parsing failures
• Presence of required experience terms that match the recruiter's search filters

Common reasons resumes underperform in ATS screening

• Critical skills listed only in a visually styled section that fails to parse correctly
• Contact details placed in a document header that the ATS ignores
• Columns causing skills from the right column to be merged with unrelated work history text
• Vague bullets ('Responsible for managing the team') with no keywords that match the job description
• Missing Skills section — leaving keyword evidence only in prose that may not match filter logic
• Scanned or image-based PDF upload that the parser cannot read
• Non-standard date formats that confuse work history timeline extraction

AureliusTalent's analysis versus an employer's ATS system

AureliusTalent's ATS score reflects our analysis of your resume's structural quality, keyword coverage relative to a job description, and formatting parsability. It is not a score produced by Workday, Greenhouse, Taleo, or any employer-specific system.

For keyword-specific analysis — where your resume is scored against the actual requirements in a target job description — AureliusTalent's Resume Intelligence module provides a detailed breakdown of matched and missing terms, section completeness, and formatting risks.