Analizador de CV para ATS de Greenhouse gratis

Comprueba en menos de 60 segundos cómo lee Greenhouse tu CV: lectura automática, palabras clave, secciones y formato. Gratis, sin cuenta.

Greenhouse is the system behind a large share of startup and tech-company job boards: the clean, single-page application with a drag-and-drop resume field. Greenhouse says plainly that its software does not use AI to rate candidates or auto-reject applications. Recruiters can still set their own rules.

Subiendo tu CV…

73 /100

Your resume has a solid foundation but is missing several key ATS optimizations. Better keyword alignment and measured results will meaningfully boost your score.

Machine readability 13/15
Keyword coverage 12/20
Quantified results 5/15
Standard sections 10/12
Layout & formatting 9/12
Titles & dates 10/10

Missing quantified achievements: most bullets describe responsibilities, not results

Low keyword density for common industry terms in the target role

Clear chronological work history with start and end dates

La diferencia

Qué hace Greenhouse de forma distinta

Common in tech and fast-growing companies of every size.

Cómo saber que es Greenhouse: The application address is on greenhouse.io, usually boards.greenhouse.io or job-boards.greenhouse.io.

  • Greenhouse parses your resume so recruiters can search it, so a skill only helps you if it is extractable text.
  • A person usually reads the resume, so readability counts for more here than in enterprise systems. It still has to be selectable text, not a scan.
  • The form's own fields (LinkedIn URL, portfolio, work authorisation) are often what recruiters filter on. Fill them in even when the resume says the same thing.
  • Custom questions attached to the posting are often the real screen. Answer them specifically rather than pointing at your resume.

La versión honesta

Ninguna herramienta, esta incluida, puede ver dentro del software de Greenhouse ni predecir la configuración de un empleador concreto. Lo que sí puede hacer un analizador —y lo que hace este— es leer tu CV como tiene que leerlo cualquier lector automático y decirte qué no ha podido extraer. De ahí viene casi todo rechazo evitable.

De la fuente

Qué dice Greenhouse, con sus propias palabras

  • Greenhouse accepts resumes and cover letters as .doc, .docx, .pdf, .rtf or .txt files. [1]
  • Greenhouse lists three reasons a resume fails to import: it contains too little information, it is in a non-standard file type, or it contains characters the parser does not recognise. [2]
  • "Greenhouse never uses AI to rate candidates or auto-reject applications." Greenhouse adds that some other companies' tools do. [3]
  • Recruiters can set rules that auto-reject or auto-advance an application. Greenhouse's example is answering "no" to a question about being legally allowed to work in the country. It says over 50% of roles send an email when an application is auto-rejected. [4]
  • Greenhouse says that, by and large, applications are reviewed by people, one by one, in the order received. [4]

Fuentes

  1. Greenhouse Support: Supported file types for resumes and cover letters
  2. Greenhouse Support: Why didn't the candidate's resume import correctly?
  3. Greenhouse: How does Greenhouse use AI? Here's everything candidates need to know (January 2025)
  4. Greenhouse: What really happens after you apply for a job? (January 2025)

Preguntas sobre Greenhouse, respondidas

Not on a score. Greenhouse states that it never uses AI to rate candidates or auto-reject applications. Recruiters can set rules that reject an application on a specific answer, such as work authorisation, so the application questions matter more than resume formatting for that step.

Greenhouse names three causes: too little information in the file, a file type it does not support, or characters its parser does not recognise. Use a .docx or text-based .pdf, and replace unusual symbols and decorative fonts with plain text.

Better than in enterprise systems, because a person usually sees it. Keep it selectable text in a single column anyway, so the parser can still index your skills for recruiter searches.

Yes, for a different reason: recruiters search the candidate pool by keyword. Keywords get you found rather than getting you past a filter.

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