Five categories · what the models named insteadAlternatives to Lever, as AI models named them
In the November 2026 Edition, 1,119 of the 1,246 answers collected in the five categories where Lever 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.
Interview scheduling
Eighty-one of the eighty-four answers did not name Lever; it was the first choice in zero. The first choices in those eighty-one answers, thirteen products in all, the eight most named:
Seventy-three of the eighty-four answers did not name Lever; it was the first choice in five. The first choices in those seventy-three answers, ten products in all, the eight most named:
Seventy-eight of the eighty-four answers did not name Lever; it was the first choice in one. The first choices in those seventy-eight answers, thirteen products in all, the eight most named:
Recruiting CRM and sourcing
Eighty-four of the eighty-four answers did not name Lever; it was the first choice in zero. The first choices in those eighty-four answers, twenty-six products in all, the eight most named:
Seventy-two of the eighty-four answers did not name Lever; it was the first choice in four. The first choices in those seventy-two answers, seventeen products in all, the eight most named:
Eighty-three of the eighty-four answers did not name Lever; it was the first choice in zero. The first choices in those eighty-three answers, twenty-two products in all, the eight most named:
Applicant tracking systems
Eighty-one of the eighty-four answers did not name Lever; it was the first choice in zero. The first choices in those eighty-one answers, twelve products in all, the eight most named:
Forty-three of the eighty-four answers did not name Lever; it was the first choice in seven. The first choices in those forty-three answers, ten products in all, the eight most named:
Fifty-four of the eighty-four answers did not name Lever; it was the first choice in three. The first choices in those fifty-four answers, eight products in all:
Recruitment marketing and career sites
Eighty-four of the eighty-four answers did not name Lever; it was the first choice in zero. The first choices in those eighty-four answers, twenty products in all, the eight most named:
Seventy-five of the eighty-four answers did not name Lever; it was the first choice in one. The first choices in those seventy-five answers, fifteen products in all, the eight most named:
Eighty-four of the eighty-four answers did not name Lever; it was the first choice in zero. The first choices in those eighty-four answers, eighteen products in all, the eight most named:
AI recruiting assistants
Eighty-two of the eighty-four answers did not name Lever; it was the first choice in one. The first choices in those eighty-two answers, eighteen products in all, the eight most named:
Seventy-seven of the eighty-four answers did not name Lever; it was the first choice in zero. The first choices in those seventy-seven answers, twenty products in all, the eight most named:
Sixty-eight of the seventy answers did not name Lever; it was the first choice in zero. The first choices in those sixty-eight answers, twenty-one products in all, the eight most named:
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 Lever 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 Lever 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 Lever's side.
The output is the models' output; nothing here is a recommendation by the index, and a product named instead of Lever was named by a model, not endorsed by anyone.