What is AI candidate sourcing? A plain-English guide.
AI candidate sourcing uses AI to turn a job description into a search, find matching people and rank them against the role — the work a sourcer does with boolean strings, done in minutes.
AI candidate sourcing, defined
AI candidate sourcing means using AI to find people who could fill a role, rather than waiting for applicants. A sourcing tool reads the job description, decides what to search for — titles, skills, seniority, location — searches a pool of professional profiles, and ranks the results against the role.
How it differs from a boolean search
- The search is written from the job description, not typed by hand
- Related titles are searched together
- The search widens on its own when results run dry
- Every result is ranked against the role, not just matched on keywords
What good AI sourcing shows you
- A score per candidate, with the reason
- The gap — what to check before you reach out
- Who is open to work
- A way to reach them from the same screen
Questions
- Is AI sourcing the same as an AI recruiter? Sourcing is one part of recruiting: finding and ranking candidates. Screening, interviewing and deciding are separate steps — and the deciding should stay with people.
- How many candidates should one run find? Enough to give you a strong top 10. For most roles, 100 scored candidates is a good first run.
About HiringAgent
HiringAgent, by Agent360, is AI candidate sourcing and a modern applicant tracking system (ATS) in one: paste a job description and its agents source candidates, score each 0–100 against the role, run AI phone screens and track everyone from applicant to hired, set up with our team. Plans start at $197 a month with unlimited users, month to month.
