HR AI Index
Index Vendors › MuchSkills · September 2026 Edition
1 category · Ranked

MuchSkills

25Judge labels
5First choices
1Negative labels
10 of 12Models named it
1Category
September 2026 Edition. Every number here is derived from the raw labels under vendor table vv2026-09.1, every buyer segment counted.
Best standing
7% in Skills intelligence for small business buyers
Rank 10 of 162 in the mid-market standing
0 of 12 models made it the first choice on the direct prompt; 0% of its 7 labels there were negative.
By buyer segmentRead the same way at every buyer size.
In skills intelligence · each standing computed within its segment · bars are 0 to 100 · the accent bar is the product's own best reading

Standing by category

Every category where a model named MuchSkills for a mid-market B2B company. Share is first choices across the direct, paraphrase, budget and scale prompts; rank is within every product named in that category.
CategoryFunctionShareRankNegative rateLabelsQuadrant
Skills intelligencePerformance and talent management2%10 of 1620%7under 10 labels · led by TalentGuard at 19%

Movement

This is the first edition on this tier, so no move can be computed for MuchSkills yet. From the next edition this section shows, per buyer segment, whether its share moved by more than the measured noise floor.

By model

How each model treated MuchSkills across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.500000
GPT-5.4 mini00000
Gemini 3.5 Flash02002
Perplexity Sonar00101
Grok 4.1 Fast01001
Mistral Small00000
DeepSeek V4 Flash01001
Llama 4 Maverick00000
Qwen 3.7 Flash00000
Kimi K200000
GLM 4.7 FlashX11002
MiniMax M2.500000

By framing

Which of the six questions produced the naming. By model says how often; this says asked what. The first-choice count on the right carries the marks of the models that produced it.
FramingLabels by classFirst choices
Direct5 labels3
Paraphrase2 labelsNone
Comparative4 labels1not counted in share
Budget-constrained9 labels1
Scale-constrained3 labels1
Negative2 labelsNone
First choiceAlternativeMentionNegative25 labels in all, every segment counted; 5 of the 6 first choices count toward share, since the comparative and negative framings do not. The bar is one segment per label class, to scale within the framing.

What the models said for it

Verbatim evidence the judge attached to positive labels.

“MuchSkills (free tier with visual skills mapping) are the most practical entry points.” GLM 4.7 FlashX · Skills intelligence · budget prompt · first choice
“Strong alternatives if Skills Base doesn't fit:- MuchSkills: Free tier (up to 10 users)” Grok 4.1 Fast · Skills intelligence · budget prompt · alternative
“MuchSkills or Skills Base deliver strong value at a fraction of the cost” DeepSeek V4 Flash · Skills intelligence · direct prompt · alternative
“The Simple, Visual Mapping Platforms (e.g., MuchSkills, Kahuna)” Gemini 3.5 Flash · Skills intelligence · scale prompt · alternative

And against it

Verbatim evidence attached to negative labels. A warning on a product with few labels is a warning; on a product with many, it is one voice among them.

No model argued against it.

Named alongside

The products named in the same answers as MuchSkills, over the 25 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and MuchSkills was named but was not.
ProductSame answerTook the first choice insteadHead to head
Skills Base19 of 2510Not in the top three
Eightfold AI14 of 250Not in the top three
Gloat12 of 251Not in the top three
SkillPanel8 of 251Not in the top three
agyleOS8 of 250Not in the top three
Workday Skills Cloud7 of 251Not in the top three
iMocha6 of 251Not in the top three
365Talents6 of 250Not in the top three
Beamery6 of 250Not in the top three
TalentGuard5 of 251Not in the top three
A head-to-head page exists where both products are in a category's top three. The other rows are the same fact without a page behind them, so they link to the product instead.

What carried it into the answer

The sites and pages cited by the answers that named MuchSkills. A fact about retrieval, not a lever on the model.

Citations exist only for the models that return a source list, four of the twelve in this edition, so these counts come from 17 of the 25 answers that named MuchSkills and are not a share of its labels.

Domains cited

firsthr.app11
fuel50.com10
cloudassess.com9
metaview.ai7
hrtechsaas.com6
f6s.com5
365talents.com4
g2.com4
gartner.com4
guideflow.com4

Sixty-four of the sixty-four domain citations in answers naming MuchSkills came from somebody else's page.

Pages cited

Pages are listed as the models cited them.

Is this your product?

Claim this page

Claiming is free and changes nothing in the data. A claimed page shows a verified contact who is told when each edition publishes and when MuchSkills's standing changes by more than the noise floor; the right to propose corrections to the vendor table, meaning names the judge wrote that should or should not read as MuchSkills, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.

It does not get any change to labels, shares or verdicts, any preview, or any say over which quotes appear. A verification link goes to your work email; an address at muchskills.com is approved on the spot, any other address is reviewed by hand.

Your name and company appear on the claimed page, or the company alone if you ask below. A title and a LinkedIn address appear there too if you give them, and are left off if you do not. Your email address is never published.

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