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Describe the recruiting outcome you need in plain language. Your assistant selects the relevant SeekOut workflow, uses the available talent data, and completes the required searches and actions in the right order. You do not need to know a workflow name or specify individual MCP tools.

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Search and discover talent

Start with a role, a candidate, or a talent question. SeekOut can:
  • Turn role requirements into a structured talent search.
  • Find people with backgrounds similar to a known candidate.
  • Search across public profiles, specialized talent pools, and your ATS pipeline.
  • Explore niche fields and identify relevant people or companies.

Find senior React engineers in New York with at least five years of experience and TypeScript expertise. Include matching candidates from our ATS pipeline if it is connected.

See Talent data sources to understand which pools are available and when to name one explicitly.

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Analyze talent markets

Use SeekOut to understand supply before finalizing a role or location strategy. Compare talent pools across cities, companies, skills, or seniority levels, and identify requirements that may be narrowing the market.

Compare the available pool of staff machine learning engineers in Boston, Seattle, and Austin. Show common employers and skills, and identify which requirements are limiting the pool.

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Evaluate and shortlist candidates

Move from search results to a hiring decision. Your assistant can:
  • Run an intake conversation to clarify role requirements.
  • Assess candidates against the criteria you define.
  • Compare profiles and build a ranked shortlist.
  • Recalibrate the search after hiring-manager feedback.

Build a shortlist of the five strongest candidates for our senior platform engineer role. Compare their production experience with AWS, Kubernetes, and infrastructure as code, and explain the ranking.

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Engage and organize candidates

After you identify candidates, use SeekOut to retrieve contact information, draft outreach, export results, save candidates to Recruit workspaces, or push them to a connected ATS.

Prepare the top candidates for a Recruit workspace and draft a short outreach message for each. Show me the candidates and drafts before saving anything.

See Work with candidates for action requirements, credit usage, and examples.

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Refine a workflow

Continue in the same conversation to adjust requirements, broaden a search, or change the output. Tell the assistant what was wrong with the previous result instead of rebuilding the request from scratch.

The shortlist is too junior. Keep the same skills and locations, but focus on candidates who have led production platform projects.

See Prompting tips for more ways to make requests easier to interpret and refine.