The strongest candidates aren't always strangers. Sometimes they're already sitting in your ATS, people you've already invested time screening, who got to the final stage, who impressed your panel, who almost got the offer.
Most of them never resurface. Each new req starts from zero, even when serious talent is lying dormant in your systems. Out of sight, out of mind.
So we shipped a search that reads both layers at once.
Our AI Sourcing agent now pulls from your ATS profile data and the conversation signal from past interviews recorded on Metaview, surfaces the strongest candidates against your ICP, and pushes "yes" candidates back into the ATS pipeline. One prompt. One workflow.
Watch our CEO, Siadhal, demo AI Sourcing.
Rediscover the talent you already know
Your ATS is full of silver medalists, near-miss candidates, and future perfect fits. Most teams hunt for those people manually, across spreadsheets, Slack threads, and recruiter memory. The candidates you remember surface. The ones you don't, don't.
Who this is for: TA leaders and recruiters running 50+ interviews a quarter, with an ATS full of past-stage candidates and no clean way to search across them.
Just tell the agent the role and the signals that matter. It builds an ideal candidate profile, searches your ATS and Metaview records against it, and surfaces the strongest matches with provenance tags so you can see where each one came from.
- 1Natural-language prompt with optional voice input. Describe the role, signals, and bar in plain English.
- 2Source selector: open web, your ATS, and your Metaview conversations. Pick any combination per search.
- 3AI-generated ICP, editable before the search runs. Calibrate the bar without rewriting the prompt.
Richer context, better sourcing
Profile-only ATS search misses the thing that actually made a candidate silver-medal: the conversation that almost closed them. We pull that signal in. Motivators. Quota attainment, and whether they actually hit it. Why they passed last time, or didn't. What they're open to next.
That context lives in your hiring conversations. We make it searchable.
30 to 50% of the people mid-market customers hire were already in their CRM or ATS. For enterprise, that's 50 to 70%. That data is locked up and impossible to search across."
- Manual silver-medalist hunts across spreadsheets, Slack, and recruiter memory.
- Profile-only ATS search; the conversation signal that almost closed them stays buried.
- Every new req starts from zero, even when 30 to 70% of your best hires were already in the system.
- One prompt searches ATS profiles, past Metaview interviews, and the open web in parallel.
- Motivators, quota attainment, fit context, and "why they passed" surface alongside the profile.
- Top matches push straight to the ATS pipeline with the stage you choose.
How talent rediscovery works
- Kick off a search with a natural prompt (voice or text). Choose your sources: open web, ATS, and Metaview conversations.
- Review the AI-generated ICP and calibrate as needed.
- The agent surfaces top candidates and tags each one with where it came from (ATS or Metaview).
- Push "yes" candidates back into your ATS pipeline directly from the Candidates panel. On supported integrations, pick the stage they land in.
It's simple, fast, and calibrated to how you already hire.
- 1Candidate card with the reasoning trail. Surface why the agent picked them against your ICP.
- 2Provenance tag: ATS or Metaview. Know whether the signal came from a profile or a past interview.
- 3Open the Candidates panel to push "yes" matches back to the ATS pipeline in one click.
Start re-engaging talent today
If you're already using Metaview Sourcing, this upgrade is live now. Run your next search and select your ATS as a channel.
New to Sourcing with Metaview? Start a free trial, or book a demo to see it on your roles. Worth pairing with the data layer the agent reads from: Notetaker captures the conversation signal that makes ATS rediscovery actually useful.
Frequently asked
Which ATSes does Metaview AI Sourcing support?
Setup is self-serve via Admin Panel for most ATSes. New integrations ship monthly, so the live list on the integrations page is the source of truth. If your ATS isn't there yet, ask your Metaview contact about the roadmap.
What candidate data does the agent pull from past interviews?
Anything in the interview transcript and structured notes captured on Metaview: motivators, career drivers, quota attainment, why a candidate passed or didn't, what they're open to next. The agent treats those as searchable signal alongside the ATS profile fields.
How does this differ from keyword search inside my ATS?
Keyword search inside an ATS searches the profile (resume text, tags, custom fields). It can't read the interview conversation. AI Sourcing builds an ICP from your prompt, then matches it against profiles and the conversation signal from past Metaview interviews. The result is context-aware, not string-matched.
Can I push candidates back into the ATS pipeline?
Yes. From the Candidates panel, send any "yes" candidate back to your ATS in one click. On supported integrations (Greenhouse, Ashby, and others rolling out), you can also pick the pipeline stage they land in. Greenhouse pushes as Prospects rather than Candidates so your stage analytics stay clean.
Is ATS rediscovery available on the free tier?
ATS rediscovery is available to customers with an ATS integration enabled, which is set up via the Admin Panel. If you're new to Metaview Sourcing, start a free trial to see the agent in action, then connect your ATS when you're ready to search across it.
Bring Metaview into your hiring stack.
Live notes, structured scorecards, and ATS sync - set up in under 10 minutes.
