What is Candidate Matching?
Candidate matching is the process of aligning candidate profiles with job requirements to identify the best-fit applicants for a role. Modern candidate matching uses AI and machine learning to go beyond simple keyword matching, analysing skills, experience patterns, career trajectories, and even cultural indicators to predict how well a candidate would perform in a specific position. It works both ways: matching candidates to jobs and jobs to candidates.
Why it matters
Traditional keyword matching misses qualified candidates who describe their experience differently than the job listing. A candidate with relevant skills but different terminology might be filtered out, while one who happens to use the right keywords might advance without genuine qualifications. AI-powered matching understands context and relationships between skills, producing more accurate shortlists and reducing the risk of overlooking great candidates.
How Teamtailor helps
Teamtailor's AI Co-pilot uses intelligent matching to rank candidates based on genuine job fit, not just keyword overlap. It also surfaces relevant candidates from your talent pool when new roles open, connecting past candidates with new opportunities.
