AI candidate sourcing

AI candidate sourcing applies semantic search and matching to the sourcing side of recruiting: instead of a recruiter manually guessing keywords and building boolean search strings, the system interprets a plain-English description of the role and ranks candidates by how well their real experience fits.

This doesn't replace recruiter judgment — it replaces the manual query-building step, so recruiters spend their time evaluating fit rather than guessing search terms. It's also why a well-written candidate profile matters more than ever: the system is matching on the substance of what you've written, not a list of guessed tags.

See candidate sourcing for the broader practice this fits into.