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

Alternatives to LinkedIn Learning, as AI models named them

In the October 2026 Edition, 391 of the 504 answers collected in the two categories where LinkedIn Learning 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 391 answers that did not name LinkedIn Learning, every category and segment above added together; a product can be counted in several. Each category below keeps its own denominator.

Online course libraries

Learning and development. Six framings, fourteen models, one answer each per buyer segment; an answer counts here when LinkedIn Learning is not its first choice or an alternative in it.
Small businessLinkedIn Learning is #2 of 8 here at 22% of first choices, 57 labels.

Forty-seven of the eighty-four answers did not name LinkedIn Learning; it was the first choice in fifteen. The first choices in those forty-seven answers, fifteen products in all, the eight most named:

7 more in the record.The full small business standing →
Mid-marketLinkedIn Learning is #2 of 8 here at 22% of first choices, 59 labels.

Fifty-one of the eighty-four answers did not name LinkedIn Learning; it was the first choice in nine. The first choices in those fifty-one answers, eleven products in all, the eight most named:

3 more in the record.The full mid-market standing →
EnterpriseLinkedIn Learning is #2 of 10 here at 23% of first choices, 58 labels.

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

6 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 LinkedIn Learning is not its first choice or an alternative in it.
Small businessLinkedIn Learning holds 8 labels here, under the 10-label cutoff, so it is unranked.

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

Skills Base30 of 80
SkillPanel6 of 80
GoSkills4 of 80
MuchSkills4 of 80
iMocha4 of 80
ESCO3 of 80
TalentLMS3 of 80
17 more in the record.The full small business standing →
Mid-marketLinkedIn Learning is #13 of 16 here at 0% of first choices, 16 labels.

Seventy-seven of the eighty-four answers did not name LinkedIn Learning; it was the first choice in zero. 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
Gloat4 of 77
TechWolf4 of 77
MuchSkills3 of 77
18 more in the record.The full mid-market standing →
EnterpriseLinkedIn Learning holds 9 labels here, under the 10-label cutoff, so it is unranked.

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

12 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 LinkedIn Learning 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 LinkedIn Learning 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 LinkedIn Learning'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 LinkedIn Learning was named by a model, not endorsed by anyone.