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Applicant Tracking System Intelligence

Master the ATS Algorithms. Pass Every Recruiter Screen.

Over 75% of job applications are filtered out before a human recruiter sees them. Explore how top Applicant Tracking Systems parse resume geometry, index keywords, and calculate match scores.

94.2% Average LaTeX Pass Rate
28.1% Graphic/Canva Pass Rate
Zero-Column Table Safe

Platform-Specific Playbooks

Select your target company's ATS software to review exact parser behaviors, keyword heuristics, and pass rate benchmarks.

Browse General Documentation ↗
Greenhouse96% Pass

Greenhouse Recruiting Engine

Greenhouse utilizes automated text extraction and parser heuristics. It favors clean single-column PDF structures with unambiguous Section Titles (Education, Experience, Skills) and linear chronology.

Target Keywords:
Full Stack EngineeringDistributed SystemsSystem DesignCI/CD Pipelines+4 more
View Optimization Guide
Lever95% Pass

Lever Hire Talent Relationship Management

Lever parses candidate documents into structured cards and highlights recruiter-configured keywords and social links. Clear date formatting (e.g. "Jan 2022 – Present") ensures uninterrupted experience timelines.

Target Keywords:
Cross-Functional CollaborationProduct EngineeringREST APIsCloud Architecture+2 more
View Optimization Guide
Workday ATS94% Pass

Workday Talent Acquisition System

Workday is infamous for aggressively stripping formatting and mangling complex tables. Using clean single-column LaTeX prevents section merging, lost experience lines, and corrupted bullet lists.

Target Keywords:
Project ManagementCross-Functional CollaborationProcess AutomationData Analysis+2 more
View Optimization Guide
Ashby97% Pass

Ashby Talent Automation Platform

Ashby is popular among modern hypergrowth tech startups. It has an advanced modern parser that evaluates quantitative impact metrics (XYZ bullet format) and tech stack proficiency.

Target Keywords:
High AgencySystem ArchitectureMicroservicesGraphQL+4 more
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SmartRecruiters92% Pass

SmartRecruiters Smartian Match Engine

SmartRecruiters uses machine learning match scores to rank applicants against the job description. Matching core terminology and standard role designations is critical to making the top tier.

Target Keywords:
Software EngineeringUnit TestingAutomated TestingCloud Native+2 more
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Oracle Taleo89% Pass

Oracle Taleo Enterprise Edition

Taleo is one of the oldest and strictest legacy enterprise ATS screeners. Complex styling, graphics, or tables almost always cause parser rejection or garbled text.

Target Keywords:
Enterprise JavaSpring BootOracle DatabaseERP Systems+2 more
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iCIMS91% Pass

iCIMS Talent Cloud

iCIMS extracts resume content to construct a candidate profile. Headers and footers are typically omitted during automated ingestion, so place vital links and contact info inside the document body.

Target Keywords:
Full Lifecycle DevelopmentIncident ManagementPerformance OptimizationDevOps+1 more
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LinkedIn Jobs91% Pass

LinkedIn Recruiter & Applicant Insights

LinkedIn ATS ranks applicants based on skill tags matching the recruiter posting and complete contact links.

Target Keywords:
Full Stack DevelopmentAWS / Cloud InfrastructureTypeScriptMicroservices+2 more
View Optimization Guide
Naukri.com88% Pass

Resdex & Naukri ATS Filter

Naukri ATS algorithms heavily prioritize exact matches in key skills, designation title, and plain text formatting without embedded tables or image headers.

Target Keywords:
PythonReact.jsNode.jsSystem Design+3 more
View Optimization Guide

The 4 Golden Rules of ATS Parsing

1

Single-Column Geometry

Multi-column templates cause text lines across unrelated sections to be read horizontally and merged. Always use linear single-column layouts.

2

Standard Section Titles

Use standard headers ("Work Experience", "Education", "Skills"). Creative titles like "Where I've Been" are discarded by legacy classifiers.

3

Selectable Font Encodings

LaTeX (XeLaTeX) embeds standard unicode glyphs that are 100% selectable and machine-extractable. Avoid non-standard visual glyphs or rasterized images.

4

Measurable XYZ Metrics

Modern AI screeners (Ashby, Greenhouse) look for "Accomplished [X], as measured by [Y], by doing [Z]". Quantify business impact with numbers and percentages.

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