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Index › Products › Degreed › Alternatives · October 2026 Edition
Two categories · what the models named instead

Alternatives to Degreed, as AI models named them

In the October 2026 Edition, 443 of the 504 answers collected in the two categories where Degreed 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 443 answers that did not name Degreed, every category and segment above added together; a product can be counted in several. Each category below keeps its own denominator.

Learning experience platforms

Learning and development. Six framings, fourteen models, one answer each per buyer segment; an answer counts here when Degreed is not its first choice or an alternative in it.
Small businessDegreed is #9 of 11 here at 0% of first choices, 21 labels.

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

3 more in the record.The full small business standing →
Mid-marketDegreed is #7 of 10 here at 2% of first choices, 29 labels.

Seventy-two of the eighty-four answers did not name Degreed; it was the first choice in six. The first choices in those seventy-two answers, twelve products in all, the eight most named:

4 more in the record.The full mid-market standing →
EnterpriseDegreed is #2 of 7 here at 16% of first choices, 53 labels.

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

4 more in the record.The full enterprise standing →

Skills intelligence

Performance and talent management. Six framings, fourteen models, one answer each per buyer segment; an answer counts here when Degreed is not its first choice or an alternative in it.
Small businessDegreed holds 6 labels here, under the 10-label cutoff, so it is unranked.

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

Skills Base29 of 82
GoSkills6 of 82
SkillPanel6 of 82
TalentLMS4 of 82
iMocha4 of 82
ESCO3 of 82
MuchSkills3 of 82
19 more in the record.The full small business standing →
Mid-marketDegreed is #9 of 16 here at 2% of first choices, 11 labels.

Seventy-seven of the eighty-four answers did not name Degreed; it was the first choice in three. The first choices in those seventy-seven answers, twenty-six products in all, the eight most named:

Skills Base10 of 77
365Talents5 of 77
iMocha5 of 77
TechWolf4 of 77
MuchSkills3 of 77
Coursera2 of 77
18 more in the record.The full mid-market standing →
EnterpriseDegreed is #9 of 14 here at 0% of first choices, 20 labels.

Seventy-four of the eighty-four answers did not name Degreed; it was the first choice in six. The first choices in those seventy-four answers, nineteen products in all, the eight most named:

11 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 Degreed 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 Degreed 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 Degreed'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 Degreed was named by a model, not endorsed by anyone.