Most hiring bottlenecks start long before the final interview. They start when a role goes live, applications pile up, and you must decide who deserves attention before you have enough signal to make that call confidently.
Resumes can show experience, skills, and credentials, but they rarely tell the full story. You still need to understand how a candidate thinks, what they contributed, and whether their experience lines up with the role.
As applicant volume grows, early screening becomes harder to scale and harder to keep consistent. You either spend hours reviewing resumes and scheduling first-round calls, or you move quickly with limited context and risk overlooking qualified candidates.
SeekOut SAM gives your team a better way to handle that first layer of evaluation.
SAM, short for Screen and Match, is SeekOut’s AI-powered screening and inbound evaluation solution. It helps your recruiting team evaluate applicants against role-specific criteria, invite candidates into structured AI-led screens, and review decision-ready summaries, transcripts, scores, and supporting evidence before the first live conversation.
Why early screening needs a better workflow
Recruiters have spent years trying to move faster at the top of the funnel, and the pressure has only increased as application volume grows and teams get leaner.
Applicants can now apply to more roles with less effort using AI-generated resumes and auto-apply tools. Hiring managers still want strong candidates quickly, but you’re often left sorting through hundreds or thousands of applications before you can confidently recommend who should move forward.
The traditional workflow was not designed for that level of volume.
Resume review gives you a starting point, but a resume can only say so much. It can list experience, tools, skills, companies, and credentials. It can suggest potential fit. But it can’t always show what a candidate truly contributed or how closely their experience matches the role.
Phone screens help fill those gaps, but they create another bottleneck. Every screen requires coordination, live recruiter time, notes, follow-up, and comparison across candidates. When a role has hundreds of applicants, you can’t screen everyone manually. You must choose a subset, often before you have enough signal to know who deserves that time.
What is SeekOut SAM?
SeekOut SAM combines two capabilities into one top-of-funnel workflow: Inbound Applicant Evaluation and AI Screening.
With Inbound Applicant Evaluation, SAM reads each applicant’s resume against role-specific criteria and surfaces the strongest matches with explainable insights. You don’t have to start with an undifferentiated stack of applicants. You can begin with a prioritized view of who appears to match the role and why.
With AI Screening, candidates complete a structured, role-specific screen on their own time. The screen captures the context resumes often miss, including examples, judgment, communication, motivations, and how candidates describe the work they’ve done.
Together, these two capabilities give you a fuller picture earlier in the process, so you can spend live conversations on candidates who are more likely to be worth the time.
How SAM works
SAM fits into the hiring workflow from application to review.
You start by creating a job and configuring the evaluation criteria. SAM uses the role details to help structure the screening experience, including the questions, requirements, and options that shape how candidates will be evaluated.
From there, your team can share the screening link through the right workflow. For inbound hiring teams, SAM can work with supported ATS workflows, so candidates can be evaluated and moved through the process while systems stay in sync. For sourcing teams, you can create an AI screen, copy the interview link, and include it in outreach.
Once candidates complete the screen, results appear in the SAM dashboard, where you can review:
- AI-generated summaries
- Competency scores
- Role requirement checks
- Transcripts
- Supporting evidence tied to the criteria for the role
From that view, you can decide who should advance, who should be rejected, and who needs further review. This workflow keeps you in control as a recruiter. SAM helps organize and evaluate the early signal, but you and your hiring team decide what happens next.
What changes for recruiters?
Without SAM, you’ll often spend hours identifying which applicants deserve attention. You review resumes, schedule first-round screens, summarize conversations, compare notes, and repeat that process across every open role.
With SAM, you can move through early evaluation with more structure. You can review every applicant against the same role criteria, and every screen follows a consistent format. Every candidate result also includes evidence you can inspect.
For a high-volume role, SAM can help you move from a large applicant pool to a more focused group of candidates who deserve action. For a specialized role, SAM can help a recruiter evaluate candidates more consistently when the skill set is nuanced, the talent pool is limited, or hiring managers need more context before investing time.
You still bring the judgment, but SAM gives you better signal before you use it.
Better signal before the first live conversation
Early hiring decisions often rely on incomplete information. A candidate may look strong on paper but struggle to explain their experience. Another candidate may have an unconventional resume but give a thoughtful, relevant answer when asked about the work directly.
SAM helps uncover those differences earlier, because when candidates complete an AI screen, you can review how their responses align with the role criteria. Instead of relying only on resume claims, you can see summaries and transcript evidence from the candidate’s own answers.
SAM also helps with a growing challenge in recruiting: resumes that are polished by AI, inflated, or disconnected from a candidate’s actual experience.
SAM adds a practical layer of visibility by comparing resume claims with screening responses. If a candidate’s resume says one thing and their answers suggest something else, the consistency rating can help surface the gap. If a candidate chooses not to complete the screen, that lack of engagement can also tell recruiters something, especially in applicant pools shaped by bots, auto-appliers, or low-intent candidates.
A more flexible candidate experience
Early screening can be frustrating for candidates, too. A candidate applies, waits for a response, coordinates availability, and then spends time in a live screen that may cover information already listed on their resume.
For candidates who are working, interviewing across time zones, or managing caregiving responsibilities, scheduling alone can slow the process down.
SAM gives candidates a way to complete the screen on their own time. Instead of waiting for a recruiter’s calendar, candidates can respond to structured questions when they’re available. They have space to think through their answers and share examples in a lower-pressure format.
Designed for trust and transparency
AI in hiring needs clear boundaries. Recruiting teams can’t treat speed as the only measure of success, especially when early screening decisions affect who gets access to the rest of the process.
SAM is built around human-in-the-loop decisioning. The AI evaluates, organizes, and surfaces information, while recruiters and hiring teams decide who moves forward.
SAM is designed to show why a candidate was surfaced, with evidence tied to role criteria, resume information, and screening responses. It also supports compliance needs with audit logs, explainable evaluations, independent bias audits, and a design that avoids third-party data augmentation or predictive behavioral models.
Where SAM fits in the SeekOut platform
SAM can be used as a standalone solution for teams focused on inbound applicant evaluation and screening. It can also be bundled with SeekOut Recruit for teams that want sourcing, talent rediscovery, inbound evaluation, and screening in one broader workflow.
Some teams already have enough applicants. Their biggest challenge is reviewing inbound volume quickly and consistently. Other teams need to find external talent, rediscover past candidates in the ATS, and evaluate new applicants as part of a connected workflow.
SAM supports both paths. For inbound-heavy teams, it brings structure to applicant review and early screening. For full-platform customers, it adds another layer of candidate signal across the hiring funnel.
Built for high-volume and specialized hiring
High-volume hiring teams can use SAM to evaluate large applicant pools without making recruiters review every resume one by one. That can be useful for roles where hundreds or thousands of applicants come in quickly and you need a more efficient way to identify candidates who deserve attention.
Specialized hiring teams can use SAM when the challenge is precision. In those searches, the applicant pool may be smaller, but every candidate requires careful evaluation. A structured AI screen can help you assess candidates against the same criteria and reduce the chance that a strong person gets overlooked because their resume didn’t tell the full story.
Note: SAM supports technical, blue-collar, and white-collar roles. It’s not designed for healthcare, clinical, or patient-facing roles.
To learn more about SAM and see how it can support your hiring workflow, book a demo today through the SAM page.
Frequently asked questions about SeekOut SAM
What does SAM stand for?
SAM stands for Screen And Match. It is SeekOut’s AI-powered screening and inbound evaluation solution for early-stage candidate review. Within SAM, candidates complete structured screens with Sam, SeekOut’s AI Recruiter Agent, who guides the interview and helps capture role-relevant insights for your recruiting team.
What does SAM do?
SAM evaluates applicants against role-specific criteria and supports structured AI-led screening conversations. Recruiters receive summaries, scores, transcripts, and evidence tied to the role, so they can decide which candidates should move forward.
Can SAM be used with AI Screening?
Yes. SAM can be used with AI Screening, but teams can also use SAM to manage inbound applicants and quickly identify who to focus on first. SAM evaluates applicants against role-specific criteria, surfaces the strongest matches, and helps recruiters prioritize their review before deciding which candidates should move forward.
Does SAM replace recruiters?
No. SAM helps with early evaluation and screening, but recruiters and hiring teams stay in control of every decision. SAM surfaces information, organizes candidate signal, and supports consistent review. Humans decide who advances.
What kinds of roles does SAM support?
SAM supports technical, blue-collar, and white-collar roles. It doesn’t support healthcare, clinical, or patient-facing roles.
How long does an AI screen take?
A typical AI screen takes about 15 minutes when teams use three questions. Setup generally takes about 5 to 10 minutes per role, depending on the workflow and configuration.
Can SAM work with our ATS?
SAM can work with supported ATS workflows through integration. Compatibility should be confirmed before implementation, so your team understands how SAM will connect with your existing hiring process.
How does SAM help with AI-generated resumes?
SAM compares resume claims with candidate responses from the AI screen. If the resume and screening responses don’t align, the consistency rating can help recruiters identify the gap. SAM doesn’t eliminate fraud, but it gives teams a more transparent way to evaluate candidate claims.
Is SAM compliant?
SAM is designed with human-in-the-loop decisioning, explainable evaluations, audit logs, independent bias audits, and minimized PII handling. AI helps evaluate and surface candidates, while recruiters and hiring teams decide who moves forward.
