What is Candidate Matching?
Candidate matching is technology that automatically ranks or scores candidates in a database or pipeline against a specific job’s requirements, typically using skills, experience, keywords, and location.
Why does Candidate Matching matter?
Matching turns a static resume database into an active sourcing tool, surfacing strong-fit candidates a recruiter might otherwise miss or take hours to find manually.
How does Candidate Matching work?
The system parses resumes and job requirements into structured data, then applies a scoring model, sometimes AI-based, to rank every candidate in the database against the open requisition, updating as new candidates and requisitions are added.
Frequently asked questions
Is candidate matching the same as AI candidate screening?
They are closely related. Matching typically ranks candidates against a job across a whole database; screening usually evaluates candidates who have already been submitted or applied to one specific role.
What data does candidate matching rely on?
Primarily parsed resume content, such as skills, titles, and experience, along with structured requisition data like required skills and location.
How BrightMove helps
BrightMove’s AI matching and recruiting analytics rank candidates against open requisitions automatically, surfacing strong-fit matches recruiters might otherwise miss. See how BrightMove matches candidates to jobs.