Index › HR › Products › SeekOut › Alternatives · November 2026 Edition
Two categories · what the models named instead

Alternatives to SeekOut, as AI models named them

In the November 2026 Edition, 381 of the 490 answers collected in the two categories where SeekOut 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 381 answers that did not name SeekOut, every category and segment above added together; a product can be counted in several. Each category below keeps its own denominator.

Recruiting CRM and sourcing

Talent acquisition. Six framings, fourteen models, one answer each per buyer segment; an answer counts here when SeekOut is not its first choice or an alternative in it.
Small businessSeekOut is #6 of 10 here at 2% of first choices, 30 labels.

Sixty-four of the eighty-four answers did not name SeekOut; it was the first choice in two. The first choices in those sixty-four answers, twenty-two products in all, the eight most named:

Manatal6 of 64
Juicebox5 of 64
Breezy HR3 of 64
100Hires2 of 64
Crelate2 of 64
14 more in the record.The full small business standing →
Mid-marketSeekOut is #10 of 13 here at 2% of first choices, 31 labels.

Sixty-four of the eighty-four answers did not name SeekOut; it was the first choice in four. The first choices in those sixty-four answers, seventeen products in all, the eight most named:

Gem7 of 64
Lever4 of 64
Manatal4 of 64
Ashby3 of 64
Crelate3 of 64
hireEZ3 of 64
Breezy HR2 of 64
Fetcher2 of 64
9 more in the record.The full mid-market standing →
EnterpriseSeekOut is #1 of 13 here at 21% of first choices, 34 labels.

Fifty-seven of the eighty-four answers did not name SeekOut; it was the first choice in fourteen. The first choices in those fifty-seven answers, nineteen products in all, the eight most named:

Avature5 of 57
Gem5 of 57
Beamery4 of 57
SAP Ariba4 of 57
iCIMS4 of 57
Ivalua3 of 57
Phenom2 of 57
11 more in the record.The full enterprise standing →

AI recruiting assistants

Talent acquisition. Six framings, fourteen models, one answer each per buyer segment; an answer counts here when SeekOut is not its first choice or an alternative in it.
Small businessSeekOut is #8 of 11 here at 0% of first choices, 11 labels.

Eighty of the eighty-four answers did not name SeekOut; it was the first choice in zero. The first choices in those eighty answers, twenty products in all, the eight most named:

Manatal22 of 80
Pin10 of 80
Workable10 of 80
Hirevire6 of 80
100Hires2 of 80
Breezy HR2 of 80
12 more in the record.The full small business standing →
Mid-marketSeekOut is #8 of 13 here at 0% of first choices, 24 labels.

Sixty-nine of the eighty-four answers did not name SeekOut; it was the first choice in zero. The first choices in those sixty-nine answers, seventeen products in all, the eight most named:

Manatal11 of 69
Workable9 of 69
Ashby7 of 69
Greenhouse3 of 69
100Hires1 of 69
9 more in the record.The full mid-market standing →
EnterpriseSeekOut is #4 of 13 here at 6% of first choices, 29 labels.

Forty-seven of the seventy answers did not name SeekOut; it was the first choice in three. The first choices in those forty-seven answers, eighteen products in all, the eight most named:

Eightfold AI10 of 47
HireVue4 of 47
Paradox3 of 47
Phenom2 of 47
Pin2 of 47
iCIMS2 of 47
Alex AI1 of 47
10 more in the record.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 SeekOut 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 SeekOut 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 SeekOut's side.

The output is the models' output; nothing here is a recommendation by the index, and a product named instead of SeekOut was named by a model, not endorsed by anyone.