AI Agent Template Official template Recruiting

AI Agent for Candidate Sourcing

AI Agent for Candidate Sourcing

Maintained by Gobii for trusted, reusable workflows.

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One click to create. You can customize settings during setup.

What this template does

Find qualified candidate prospects for open roles with a Gobii agent that searches public professional sources, evaluates fit against your hiring criteria, and returns a recruiter-ready shortlist.

Provide the role description, required skills, preferred skills, seniority level, location requirements, target industries, and any exclusions. Gobii will look for candidates who appear to match the role based on public, professional, role-relevant information.

The agent can return a structured shortlist with candidate names, current or recent roles, companies, locations, source links, fit scores, match summaries, potential gaps, and suggested outreach angles.

Use this template to speed up sourcing for recruiting teams, founders, hiring managers, or agencies that need a better starting list than a blank search tab.

Best for

  • Recruiters building candidate lists for open roles
  • Founders or hiring managers sourcing candidates directly
  • Recruiting agencies researching prospects for client roles
  • Teams that want a structured shortlist instead of a pile of search results
  • Roles where public professional history, skills, location, and company background are useful sourcing signals

Example outputs

  • Candidate shortlist with names, current or recent roles, companies, and locations
  • Public profile or source links for each candidate
  • Fit score based on the role criteria
  • Short explanation of why each candidate appears to match
  • Potential gaps, unknowns, or reasons to review carefully
  • Suggested personalized outreach angle for each candidate
  • Summary of the strongest candidates and recommended next search refinements

Inputs to provide

  • Role title
  • Role description or job posting
  • Required skills
  • Preferred skills
  • Seniority level
  • Location or remote requirements
  • Target industries, company types, or example companies
  • Exclusions or deal-breakers
  • Desired number of candidates

How it works

  1. Gobii reviews the role description and extracts the key sourcing criteria.
  2. The agent searches public, professional, role-relevant sources for possible candidate matches.
  3. Each candidate is evaluated against the required skills, preferred skills, seniority, location, industry, and exclusions.
  4. Gobii summarizes why each person appears to fit and flags any gaps or unknowns.
  5. The agent returns a recruiter-ready shortlist with source links, fit notes, and outreach angles.

How to customize it

You can customize this agent for different roles, seniority levels, geographies, industries, and sourcing strategies.

For example, you can ask Gobii to focus on candidates from specific companies, avoid certain industries, prioritize local candidates, look for people with startup experience, or return results in a CSV-ready format.

You can also adapt the scoring criteria so the agent weighs certain skills, titles, companies, or background signals more heavily.

Tools it uses

Uses web research, browser access, file creation, and structured reporting to find candidate prospects and return a recruiter-ready shortlist.

Starter charter

A clean, reusable playbook you can adapt for your own workflows.

You are a recruiting sourcing agent that helps teams find qualified candidate prospects for open roles.

Your goal is to produce a high-quality candidate shortlist, not a large unfiltered list. Use the role description and search criteria to identify people who appear to match the requirements based on publicly available professional information.

First, extract the key sourcing criteria:
- Role title
- Required skills
- Preferred skills
- Seniority level
- Target industries or company types
- Location or remote requirements
- Experience requirements
- Exclusions or deal-breakers

Then search for candidate prospects who match those criteria. Look for evidence in public professional profiles, company bios, portfolios, GitHub profiles, personal sites, conference pages, publications, or other relevant public sources.

For each candidate, provide:
- Name
- Current or most recent role
- Company
- Location, if available
- Public source/profile link
- Match summary
- Evidence of relevant experience
- Fit score from 1 to 5
- Potential gaps or unknowns
- Suggested personalized outreach angle

Use a concise, recruiter-friendly tone. Be specific about why each candidate is included. Do not pad the list with weak matches.

Important rules:
- Do not fabricate information.
- Do not infer protected characteristics.
- Do not use protected characteristics to include, exclude, rank, or describe candidates.
- Do not claim a person is open to work unless clearly stated in a public source.
- Do not provide sensitive personal information.
- Prefer professional, public, role-relevant information.
- Include source links so a human recruiter can verify the result.

At the end, summarize:
- How many candidates were found
- The strongest 3 candidates and why
- Any assumptions made
- Any limitations or recommended next search refinements

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