A financial analyst applies to a role at a mid-size company, makes it through two interview rounds, and doesn't get the offer. A similar analyst opening comes up eight months later on a different team. The company already holds that person's resume, interview notes, and a full record of how far they got.
In this guide, we cover what ClearCompany does with that kind of stored history once a new requisition opens, where the native process falls short of full rediscovery, and how connecting Skima AI adds the scoring detail, date scoping, and audit trail it leaves out.
What Is Talent Rediscovery?
Talent rediscovery means searching and matching candidates already stored in Clearcompany's ATS against a role that just opened. It covers applicants from closed jobs, candidates parked in a talent community, and anyone who advanced partway through a hiring process before the role got filled or shelved.
A year or two of application history turns into an active sourcing channel once those stored candidates get checked against every new opening automatically. Most ATS platforms leave that to a recruiter's memory. Rediscovery performs the check every time, without anyone needing to recall a name.
Does ClearCompany Provide Candidate Rediscovery?
Partially, ClearCompany's AI Sourcing Engine activates when a recruiter opens a new job requisition. It searches an external professional network alongside candidates already stored in the company's account, returning both in one combined list.
Additionally, the AI Talent Match feature scores and ranks the people who have applied to that specific requisition. It prioritizes strong fits for high-volume roles.
Past candidates and new external prospects appear together in that list. There is no score or stated reason linking either group to the requisition, and there is no way to view internal matches separately. AI Talent Match's scoring only covers current applicants, not candidates rediscovered from closed requisitions. The search is not scoped by candidate age, and there is no tracking of a hiring manager's decision on a name.
How to Rediscover Candidates in ClearCompany
ClearCompany's AI Sourcing Engine already returns a list when a job opens. Connecting Skima AI isolates the internal matches, scopes them by date, and creates the hiring manager decision trail the native process does not track. Below is a 5-step workflow that starts with what ClearCompany already provides and builds on it:
Step 1: The Native Path, Start With the AI Sourcing Engine
Open a new job requisition inside ClearCompany. The AI Sourcing Engine activates automatically and returns a combined list of external prospects and internal past applicants who match the role's requirements within seconds. A recruiter can add promising names directly to a talent community for outreach.
This step surfaces matched candidates without a manual search step. It returns no score explaining the fit, though, and it does not separate the internal matches from the external ones. Skima AI builds on this next with a scored, dated, and tracked version of the same search.
Step 2: Connect Your ClearCompany Account With Skima AI
Generate API credentials inside ClearCompany, under Settings, then Integrations, with admin permissions covering candidate data and activity notes. This connection uses ClearCompany's own REST API directly, with no middleware required.
- Read access: candidate profiles, application data, requisition details, and the activity timeline
- Write access: activity notes and candidate tags
- Pulled data: candidate contact details, resumes, application status, requisition requirements, and historical activity notes for rediscovery context
Choose which requisitions to enable for scoring, and map any custom fields during setup
Step 3: Configure the Skima Screened Tag and Confirm the Connection
Create a Skima Screened tag inside ClearCompany and enable note permissions for timeline updates. The Skima AI match score and reason bullets post as activity notes directly on the candidate's timeline. Skima AI syncs through ClearCompany's REST API on a polling interval of 5 to 15 minutes, since webhooks are not required for this connection.
Before applying this to live roles, test the connection on two or three requisitions. Upload a resume, confirm the Match Score and Reasons appear on the candidate timeline, submit sample hiring manager feedback, and check that it logs correctly.
Step 4: Launch Talent Rediscovery Against a Live Requisition
Open the job inside Skima AI, from the Jobs list or from within the job itself. Click the three-dot Actions menu and select Rediscover Candidates. A modal opens with options to narrow the scan: select a specific candidate segment, or leave it open to every synced ClearCompany record.
Set the candidate created date range next: All time, Last 6 months, Last 1 year, or a custom window, and optionally check the location filter to restrict the scan geographically. Click Apply. A "Performing Rediscovery" notification appears while the scan works in the background, and turns green with a refresh option once it completes.
Step 5: Review, Filter, and Sync Feedback Back to ClearCompany
Refresh the page and open the Rediscovered source tab inside View Candidates. Each match carries a Skima AI score and reason bullets, tagged with a Rediscovery source label. Filter by Industry, Work Mode, Experience Level, Notice Period, Location, and Salary Range to narrow the list.
Once the shortlist looks right, generate a secure, no-login link and send it to the hiring manager. They click thumbs up, thumbs down, or maybe on each name, with an optional comment. Skima AI writes that decision back into ClearCompany as an activity note on the candidate's timeline, keeping the feedback on the record without a second login.
What If Your ClearCompany Database Is Messy or Duplicated
ClearCompany automatically handles two specific duplicate scenarios. When a former employee reapplies, the system matches them to their existing record and flags them as a former employee. When a candidate applies to more than one open position at the same time, ClearCompany syncs shared data, such as interview scorecards and offer letters, across both applications.
Both checks depend on the system recognizing the same identifying details, usually the same email address, at the time of application. They don't cover a candidate who applied under one email two years ago and reapplies today with a different one, or whose name is entered with a slightly different spelling the second time. A recruiter only catches that overlap by recognizing a name while reviewing a new application.
Skima AI treats this as ongoing maintenance rather than a one-time cleanup. It first matches on email, phone, or LinkedIn URL, then checks name, location, and company together as a backup signal.
When a match is found, a field comparison modal displays differences across Name, Title, Company, Location, Email, Phone, and LinkedIn, tagging each mismatched field as Differs.
A recruiter chooses which values to keep and merges the records, or adds the profile as new if the two genuinely differ. Every resolved case is logged under the Duplicates tab, divided into In Database, From Uploads, and Resolved sub-tabs for later audit.
5 Benefits of Candidate Rediscovery with Skima AI in ClearCompany
A documented 30-day pilot with ClearCompany reported 5 clear advantages once Skima AI starts scoring a company's stored candidate history:
- Faster Fills, No New Ads: Rediscovered candidates arrive already matched and scored against the open role, helping a team fill positions up to 67% faster without posting a new job ad or paying for fresh sourcing.
- A Score Attached to Every Match: Every rediscovered candidate carries a 0 to 100 score with reason bullets, replacing the Sourcing Engine's unscored, blended list with a number a recruiter can compare across candidates.
- Internal Matches, Kept Separate: Rediscovered candidates arrive tagged apart from new external prospects, so a recruiter knows which names come from the company's own history.
- One Timeline, No New Login: Match scores, reasons, and tags write directly to the same ClearCompany candidate timeline a recruiter already checks.
- A Decision Trail for Every Name: A hiring manager responds through a no-login shortlist link, and that decision logs as an activity note on the candidate record, building a record the native process does not keep.
5 Best Practices to Rediscover Talent in ClearCompany
A few habits decide whether this connection turns into a steady source of candidates or a one-time setup:
- Use the Sourcing Engine First: The AI Sourcing Engine's combined list catches obvious matches without a manual search. Move to a scoped Skima AI scan to isolate and rank only the internal database against a requisition's specific requirements.
- Automate Rediscovery on Job Creation: Skima AI's setting under Preferences and General starts a database scan the instant a new job gets created inside the connected account, so no requisition goes live without a first look at existing applicant history.
- Reverse Search Across Brands: Companies running multiple brands or locations through one ClearCompany account often have a candidate who fit one brand's opening but never got checked against a similar role at another. Reverse Search starts from that candidate's profile and returns every open job they match, ranked by score.
- Segment Scans by Date: Choose a 6-month or 1-year window for a role that calls for someone recently active. Widen to all time for a niche or hard-to-fill role where the applicant pool has stayed thin for years.
- Review Duplicates After Hiring Pushes: ClearCompany's rehire matching catches returning employees, but not a candidate who reapplies under a different email during a high-volume hiring push. Checking the In Database sub-tab after each cycle catches what the native check does not.
Is Candidate Rediscovery Worth It for Your Recruitment Team?
ClearCompany automatically includes past applicants in every new search, without a recruiter to request them by name. This built-in feature allows a company to see, before incurring any additional costs, whether its database can provide suitable matches for new roles.
A company with several years of closed requisitions across multiple brands or locations offers a richer talent pool for Skima AI to evaluate than one with only a few roles filled since it began using ClearCompany.
However, a limited candidate history results in a limited Rediscovered list, no matter how the connection is set up, making it harder to justify the setup for a newer account.
Pilot Candidate Rediscovery in ClearCompany Now
For a company with a multi-year ClearCompany history, a pilot with Skima AI can deliver a high ROI. Start with two or three live requisitions. Ideally, these should be roles the company has filled multiple times before, providing a solid historical pool to score against.
Connect Skima AI to ClearCompany. Configure the Skima Screened tag and test it on those two or three requisitions before going live. Skima AI's integration with ClearCompany structures the rollout this way: test on a small sample first, then go live with three pilot roles. Track time-to-shortlist and manager satisfaction through weekly checkpoints.
Monitor how many rediscovered candidates reach an interview and how the hiring manager responds to the shortlist link. Skima AI's documented rediscovery results show that companies fill roles up to 67% faster when rediscovered candidates enter the pipeline instead of starting a fresh external search. From there, expanding to more requisitions becomes a decision supported by the pilot's own data.
Frequently Asked Questions
1. Does ClearCompany have a built-in talent rediscovery feature?
Partially, the AI Sourcing Engine automatically returns a combined list of external prospects and internal past applicants when a job opens, but with no score, no way to view internal matches alone, and no record of a hiring manager's decision.
2. How do I rediscover talent in ClearCompany?
Start with the native AI Sourcing Engine for an automatic first pass. For a scored, scoped, and auditable version, connect Skima AI through ClearCompany's API, set up the Skima Screened tag, then launch Talent Rediscovery on a live requisition.
3. What are the benefits of candidate rediscovery in ClearCompany?
Rediscovered candidates arrive already matched and scored, helping teams fill roles up to 67% faster than a fresh external search. Matches carry an explainable score, stay separate from new prospects, and log every hiring manager decision for audit.
4. Is Skima AI safe to integrate with ClearCompany for talent rediscovery?
Yes. Skima AI scores candidates using resume-based evidence only, with no automatic rejections, and logs every hiring manager decision and shortlist action for audit. Data stays encrypted in transit and at rest, backed by a signed Data Processing Agreement.
5. Is candidate rediscovery useful for ClearCompany's typical customers?
Yes, especially for companies running multiple brands or locations through one ClearCompany account, where a candidate who fit one brand's opening often never gets checked against a similar role at another. The value grows with the size of that closed-requisition history.
