Resume matching score: rank candidates by relevance
How do you objectively know which candidate best fits your position? AI-powered CV scoring assigns a relevance score to each application, based on the actual criteria in your job description.
How does matching score work?
The CV matching score is a 0-100 rating measuring the fit between a resume and a job description. The higher the score, the better the candidate's profile matches what you're looking for.
Unlike keyword filtering that looks for exact matches, AI scoring understands semantic equivalences. A candidate who mentions "project management" will be recognized as relevant for a role requiring "gestion de projet," even if the exact term doesn't appear.
Scoring example
For a B2B SaaS Sales role in Paris, here's what a scored shortlist looks like:
What criteria are scored?
Technical skills — tools, technologies and expertise mentioned in the CV and required by the role.
Experience — years, company type (startup, enterprise, B2B, B2C), and industry sector.
Education — relevant degrees and certifications.
Location — geographic compatibility between the candidate and workplace.
Languages — if the role requires specific languages, they factor into the score.
High score = good candidate?
Not necessarily. The score measures fit with your job description, not the candidate's intrinsic quality. An excellent senior developer will score low if you're looking for a sales profile. It's a screening tool, not a value judgment.
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Upload your applications and job description. Cynthra assigns a matching score and ranks your candidates in seconds.
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