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HR AI Index
Index › Products › Checkr › Alternatives · October 2026 Edition
One category · what the models named instead

Alternatives to Checkr, as AI models named them

In the October 2026 Edition, 126 of the 252 answers collected in the one category where Checkr holds a standing named it neither as a first choice nor as an alternative. These are the products those answers put first, category by category and buyer by buyer. The output is the models' output.

Named instead, most often
First choices in the 126 answers that did not name Checkr, every category and segment above added together; a product can be counted in several. Each category below keeps its own denominator.

Background screening

Talent acquisition. Six framings, fourteen models, one answer each per buyer segment; an answer counts here when Checkr is not its first choice or an alternative in it.
Small businessCheckr is #2 of 8 here at 31% of first choices, 58 labels.

Thirty-seven of the eighty-four answers did not name Checkr; it was the first choice in twenty-six. The first choices in those thirty-seven answers, four products in all:

The full small business standing →
Mid-marketCheckr is #1 of 12 here at 31% of first choices, 48 labels.

Forty-eight of the eighty-four answers did not name Checkr; it was the first choice in twenty-five. The first choices in those forty-eight answers, twelve products in all, the eight most named:

4 more in the record.The full mid-market standing →
EnterpriseCheckr is #2 of 10 here at 24% of first choices, 54 labels.

Forty-one of the eighty-four answers did not name Checkr; it was the first choice in sixteen. The first choices in those forty-one answers, eight products in all:

The full enterprise standing →

How to read this

A category is asked six ways of each of fourteen models on behalf of each buyer segment, so a segment is eighty-four answers. An answer belongs on this page when the judge labeled Checkr neither its first choice nor an alternative in it; the products listed are the first choices those answers made, counted once per answer. An answer that named nothing first, or named Checkr only in passing, is in the denominator and adds to no product. The counts are not the category standing, which is on the category page with its share and rank; they are the same record read from Checkr's side.

Every answer and every label behind these figures is in the record, sent on request. The output is the models' output; nothing here is a recommendation by the index, and a product named instead of Checkr was named by a model, not endorsed by anyone.