Recruit CRM alternative, AI resume screening priced by applicant volume, not per recruiter seat

What each plan actually includes, feature by feature

Recruit CRM publishes a full feature comparison, which makes this section unusually easy to write accurately. Several things people assume are baseline turn out to sit above the entry plan, and if you are pricing Pro because it looks sufficient, these are the rows to check first.

On Pro, email sequencing is limited to a single sequence, custom fields are capped at 15, you get one hiring pipeline, Recruit CRM branding cannot be removed, and there is no open API access. Job posting through the LogicMelon integration is not on Pro either. Read on October 6, 2026, Business lifts those to 2 mailboxes, 500 active sequence enrollments, 100 custom fields and 100 hiring pipelines, and in our August read Business and Enterprise also added branding removal and open API access.

Two smaller items are easy to miss in a demo. SMS and dedicated phone numbers now consume credits from the same pool as AI matching, and so do WhatsApp and LinkedIn messaging sync. Neither is unusual, but a desk that texts and messages heavily spends credits that would otherwise go to sourcing and matching.

None of this makes Recruit CRM a bad purchase. For an agency that wants one modern place to run candidates, clients, deals and invoicing, it is a genuinely strong option and its users like it. It just means the honest total is the seat rate, times seats, plus any extra credits your workflow burns through, and that total is the figure to compare against anything else.

Where each tool is the better purchase

Recruit CRM is the better buy when you are an agency and your problem is fragmentation. If candidate records live in one place, client conversations in another, and job orders in a spreadsheet, a single agency ATS and CRM fixes something real, and the per-seat model is a reasonable way to pay for a shared workspace that every recruiter touches all day.

Prescreener is the better buy in a narrower case: your system of record is fine, and the actual failure is that applications arrive faster than anyone reads them. Then the useful purchase is a layer that reads all of them against criteria you wrote, ranks them, and explains itself, without asking you to move a database or add headcount.

They also coexist perfectly well, and plenty of agencies should run both. Recruit CRM stays the system of record and the client-facing workflow. Prescreener sits in front of the inbound pile, does the reading, and hands back a ranked shortlist that becomes the submissions your recruiters were always going to make. Neither one is trying to be the other.

And a case for neither, stated plainly: if a job order draws twenty applicants and your recruiters read all twenty, you do not have a screening problem, and nothing in this category will pay for itself. Buy against your real bottleneck, which might be sourcing, or client development, or the job description.

Questions to take into a Recruit CRM demo

Ask how many credits your team would burn in a month at your real sourcing and enrichment volume, and what happens when the pool runs out. Does matching stop, or does Auto Reload start buying credits? The page gives you the rate of 3 credits per 100 profiles and notes that it varies by country and region, but not the rate for your region, and that detail decides whether the included credits are plenty or the binding constraint.

Ask for your rate in US dollars, in writing, at your seat count, with the annual discount applied and any extra credit purchases itemized. Then ask what happens at renewal, and whether the per-seat rate is locked for the term.

Ask to see AI Candidate Matching run on a real job order with real applicants rather than a demo dataset, and ask exactly what a recruiter sees beneath a matched candidate. A rank, a score, a summary, or a list of criteria met and missed? That level of explanation is what decides whether recruiters trust the output enough to change how they work, and it is the single most useful thing to watch in any screening demo.

Finally, ask about independent bias audit documentation for the matching feature specifically. Any tool that ranks applicants is an automated employment decision tool under the rules now governing them, and the documentation you can produce later matters more than the model architecture.

Compliance, fairness and the human in the loop

Any tool that scores or ranks applicants falls under the rules governing automated employment decision tools. NYC Local Law 144 requires an independent bias audit and notice to candidates. Several states have added their own requirements. Disparate impact liability under Title VII, the ADEA and the ADA applies regardless of what any vendor says about its model, and active litigation has made buyers noticeably more careful about what they can document after the fact.

Prescreener discloses AI use to candidates, applies identical criteria to everyone, is bias-audited to support EEOC standards and NYC Local Law 144, and retains the criteria met, the criteria missed and the evidence behind every ranking. The design constraint that matters most is that it ranks and flags but never rejects. A person makes every employment decision and can explain it afterwards.

What Prescreener does not do is worth stating as clearly as what it does. It does not verify licenses, run background checks, handle credentialing, check motor vehicle records, manage I-9 or E-Verify, or touch payroll. Those stay in the regulated systems you already run, and any vendor implying otherwise is overselling.