Every search runs as a regular search by default. Turning on deep search widens the net by running several searches at once and combining the results. Here’s exactly what each one does.Documentation Index
Fetch the complete documentation index at: https://clarvo-77294265.mintlify.app/llms.txt
Use this file to discover all available pages before exploring further.
Regular search
A regular search looks through Clarvo’s candidate pool and returns the best matches for your role:Applies your hard filters
Candidates that don’t meet your hard filters (location, required
languages, seniority, education level, and so on) are removed.
Ranks by fit
Results are scored and ordered using your evaluation criteria
and soft signals like job titles and industries.
Deep search
Deep search is for when you want maximum coverage — hard-to-fill, niche, or specialized roles. Instead of one search, Clarvo runs several in parallel and merges them:A broader semantic pass
A wider, meaning-based sweep of the pool that surfaces strong matches a stricter search
might have narrowed out.
A company-angle search
Clarvo identifies companies likely to employ the right people and looks for candidates
there. This branch is automatically skipped if you’ve already specified companies, so
it never overrides your explicit choices.
Bringing the results together
De-duplicate
The same person found in more than one place is collapsed into a single result —
preferring the profile Clarvo already has so you keep the richest data.
Regular vs. deep — at a glance
| Regular search | Deep search | |
|---|---|---|
| Searches | Clarvo’s candidate pool | Pool + broader pass + company-angle + external sources |
| Coverage | Focused | Maximum |
| Best for | Roles with good existing coverage | Hard-to-fill, niche, or specialized roles |
| Speed | Fastest | Takes a little longer (more sources) |
| Ranking | Scored by fit | Same scoring, applied across all sources |
Deep search widens the candidate pool — it doesn’t loosen your hard filters. If you’re
getting too few results, also try relaxing hard filters or switching skills to Loose
(see Search filters).