Bullhorn Search & Match: Use Cases That Drive Results
Bullhorn Search & Match helps recruiters identify the best-fit candidates for open roles by using AI to surface relevant matches from the database. The more structured, enriched, and current your data, the more effective Search & Match becomes. This guide outlines high-impact use cases and best practices to maximize value from Search & Match.
Preparing for Success: Search & Match Readiness Checklist
To get meaningful results from Bullhorn Search & Match, it’s important to establish a strong data foundation before enabling AI-driven matching. The following steps will help ensure the tool performs effectively from day one.
Data Alignment
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Ensure candidate records are complete, current, and consistently formatted.
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Use tools like the AI Assistant and Screening Agent to enrich key fields such as summaries, job titles, and recent activity.
Structured Fields
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Create custom fields to store AI-generated summaries or other structured insights.
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Make sure those fields are easily accessible and consistently maintained across records.
Readiness Questions
Ask these questions before rolling out Search & Match:
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Is candidate data up to date?
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Are candidates reachable and recently engaged?
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Is your submission workflow fast and consistent enough to capitalize on good matches?
Use Cases That Improve Match Results
Prioritize Recently Engaged Candidates
Why It Matters:
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Increases submission speed and success.
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Improves candidate response rates.
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Reduces wasted recruiter effort.
Past Performance-Based Matching
Why It Matters:
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Supports consistent, data-driven hiring.
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Makes it easier for new recruiters to spot proven talent.
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Enhances client satisfaction with better candidates.
Match Using Structured and Enriched Fields
Why It Matters:
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Improves relevance of AI matches.
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Boosts recruiter confidence in system-generated results.
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Reduces noise in search and match workflows.
Silver Medalist Reuse
Why It Matters:
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Increases ROI on sourcing and screening.
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Reduces time-to-fill by starting with pre-vetted talent.
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Improves candidate experience with continued engagement.
Best Practices for Reliable Matching
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Keep Candidate Statuses Current: Automate status changes based on activity (e.g., submissions, notes) to reflect true availability.
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Enrich Key Fields with Structured Content: Use AI tools to add consistent summaries, job titles, and skills to make profiles easier to match.
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Archive or Flag Low-Value Records: Regularly clean up old or incomplete profiles to reduce clutter and improve result quality.
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Monitor Match Quality: Track success metrics and adjust enrichment or filtering logic to keep matches sharp.
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Focus on High-Impact Roles First: Apply Search & Match where it drives the most revenue—high-margin or high-volume roles.
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Refresh Candidate Engagement Regularly: Re-engage inactive candidates with screeners, emails, or update requests to keep them match-ready.