AIApply for credits. CoBlack for fit

AIApply is one of the most visible names in AI job search. Founded by Aidan Cramer, it bundles an unusually wide toolkit into one subscription: an AI resume builder, a cover letter generator, mock interviews, a live interview assistant that reads your screen, and a resume translator. The pitch is a single place to run your entire search. For a job seeker juggling six tabs and four logins, the consolidation is genuinely appealing.

Then you go to actually apply, and you meet the meter.

What AIApply does

The AIApply subscription, around $29 a month on the Pro plan, gets you the toolkit. What it does not get you is auto-apply. Sending applications runs on a separate credit system: you buy credits in packs, one credit is one application, and when they run out you buy more. Public pricing runs roughly $39 for 100 credits or $79 for 250 (SaaSworthy, 2026). An active job seeker sending 100 or more applications a month ends up around $68 to $89 once the credits are stacked on top of the subscription.

The mechanics matter because the real cost is not the sticker price. It is the sticker price plus however many applications you send, billed one application at a time.

What the reviews say

The public record is split, and the way it is split is itself a finding. On Trustpilot, AIApply shows a high headline score, but Trustpilot has placed a public warning on the profile for displaying review content in a misleading way and for using unsupported methods to collect reviews (Trustpilot, 2026). Around 64 percent of the reviews are five stars while more than 100 are one star. A score you cannot fully trust is not really a score.

The Better Business Bureau is blunter. AIApply holds an F rating, is not accredited, and as of 2026 had failed to respond to four of five formal complaints (BBB, 2026). The complaints cluster around two themes: billing disputes, including charges and refusals that pushed users toward chargebacks, and applications sent to the wrong roles and wrong locations, spending paid credits on jobs the user never wanted. When every misfire costs a credit, a targeting error is not just annoying. It is a charge.

Where CoBlack stands

CoBlack is built on the opposite instinct. The problem in a job search is not access to more tools. It is whether each application is aimed at the right opening and built to fit it.

That starts with sourcing. AIApply pulls from public boards and has documented trouble integrating with sites like Indeed and ZipRecruiter. CoBlack's Kosmos Engine sources directly from employer ATS feeds and verified career pages, so ghost listings and filled roles never enter the queue. From there, CoBlack builds a Career Capability Map from your real experience, applies only when the fit reaches 70 percent or higher, and tailors the resume to each job before it goes out.

And the price is the price. CoBlack does not meter applications. There is no credit pack to top up, no per-application charge, no surprise on the statement. The search also runs server-side, so it keeps going with the laptop closed, no live overlay and no tab to leave open.

The outcome is the point. CoBlack users convert to interviews at 12 times the rate of a standard search (CoBlack internal data, 2026). Not more applications. More of the ones that matter.

Who each tool is for

AIApply fits a job seeker who wants one dashboard for everything around the search, from resume to interview rehearsal, and who is comfortable treating each application as a metered purchase. If you value the breadth of the toolkit and you watch your credit balance, it delivers that breadth.

CoBlack is for that same person the month their credits run dry and their interview count has not moved. The search runs on a flat plan, sources from verified employer feeds, and applies only where the fit is real. Breadth feels like progress. Interviews are progress.

AIApply sells the tools and counts the credits. CoBlack runs the search and counts what lands.