Stop guessing keywords. Just describe who you need.
Recruitera's AI search understands what you mean, not just what you type, so "sales" also finds your Business Development Managers and Account Managers, instantly.
The right candidate doesn't always use the exact words you searched for.
Job titles, skills and experience can be described in dozens of ways. Exact keyword matching can miss relevant profiles simply because candidates describe similar experience differently.
Describe who you need. Let AI look beyond the exact wording.
Start with the profile you're looking for, let semantic search interpret the intent, review relevant candidates, then refine the results using the hiring context that matters.
Search for the candidate you actually have in mind.
Start with the skills, experience, background or profile you're trying to find instead of constructing a search around every possible keyword a candidate might have used.
Let AI understand related meaning, not only exact words.
Semantic search looks beyond literal keyword matches to identify candidates whose experience may be relevant even when their CV uses different job titles, terminology or ways of describing similar skills.
Surface candidates you might have missed.
Rediscover relevant people already inside Recruitera who may not appear in a traditional keyword search, making your existing candidate database more useful before you start sourcing from zero.
Refine the results with real hiring context.
Narrow the candidate set further using Recruitera's filters when you also need criteria such as job, location, stage, status, screening information, AI Score or other hiring data.
Find more relevant talent without guessing every possible keyword.
Search that understands what you actually mean.
Search beyond exact wording
Find candidates whose experience matches the meaning behind your search.
Reuse the talent you already have
Turn your existing candidate database into a source of future hires.
Go from broad intent to precise shortlist
Use semantic discovery first, then narrow candidates with hiring criteria.
Spend less time rewriting searches
Focus on who you need instead of every keyword they might use.
Related features
Search for the candidate you mean, not just the words they used.
Use Semantic AI Search to rediscover relevant talent, explore your candidate database more intelligently and build stronger shortlists with Recruitera.
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Semantic AI Search looks at the meaning and intent behind a search rather than relying only on exact keyword matches. This can help surface candidates whose experience is relevant even when their CV uses different terminology.
Traditional keyword search generally depends on the words entered appearing in the candidate information. Semantic search is designed to understand related meaning, helping recruiters search more broadly around the profile they actually need.
Boolean Search gives recruiters exact control using operators such as AND, OR and NOT. Semantic AI Search is more useful when you want the system to understand the meaning behind what you're looking for rather than manually defining every possible term.
Yes. Semantic search can help discover relevant candidates first, while Recruitera's 30+ filters can then narrow the results using criteria such as location, job, stage, status, screening data and other hiring information.
Yes. One of its strongest use cases is finding relevant candidates already inside your Recruitera database when their previous profile may match a new hiring need.
No. Semantic AI Search helps recruiters discover potentially relevant candidates. Your hiring team still reviews the profiles, evaluates fit and makes the final hiring decision.