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

SkillsDB

24Judge labels
3First choices
1Negative labels
7 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
0% in Skills intelligence for small business buyers
Rank 11 of 162 in the mid-market standing
0 of 12 models made it the first choice on the direct prompt; 0% of its 5 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 SkillsDB 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%11 of 1620%5under 10 labels · led by TalentGuard at 19%

Movement

This is the first edition on this tier, so no move can be computed for SkillsDB 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 SkillsDB 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 Flash00000
Perplexity Sonar00000
Grok 4.1 Fast01001
Mistral Small00000
DeepSeek V4 Flash01001
Llama 4 Maverick00000
Qwen 3.7 Flash00000
Kimi K201001
GLM 4.7 FlashX10001
MiniMax M2.500101

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
Direct4 labelsNone
Paraphrase5 labels1
Comparative2 labelsNone
Budget-constrained12 labels2
Scale-constrained0 labelsNone
Negative1 labelNone
First choiceAlternativeMentionNegative24 labels in all, every segment counted; 3 of the 3 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.

“Best Overall (All‑in‑One): SkillsDB” GLM 4.7 FlashX · Skills intelligence · paraphrase prompt · first choice
“If you want a single flat monthly cost that won't creep up with headcount, SkillsDB (~$100/month) is worth a look.” DeepSeek V4 Flash · Skills intelligence · budget prompt · alternative
“SkillsDB offers excellent value with their free and low-cost tiers” Kimi K2 · Skills intelligence · budget prompt · alternative
“SkillsDB: Starter at flat $100/month (covers ~50 users)” Grok 4.1 Fast · Skills intelligence · budget 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 SkillsDB, over the 24 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and SkillsDB was named but was not.
ProductSame answerTook the first choice insteadHead to head
Skills Base19 of 2415Not in the top three
Eightfold AI10 of 240Not in the top three
iMocha8 of 240Not in the top three
Gloat7 of 240Not in the top three
AG56 of 240Not in the top three
Fuel506 of 240Not in the top three
agyleOS6 of 240Not in the top three
Beamery5 of 240Not in the top three
MuchSkills5 of 240Not in the top three
TechWolf4 of 241Not 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 SkillsDB. 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 24 of the 24 answers that named SkillsDB and are not a share of its labels.

Domains cited

firsthr.app18
skillsdb.comYour site15
cloudassess.com14
fuel50.com13
f6s.com12
peoplemanagingpeople.com12
hrtechsaas.com11
clickup.com9
guideflow.com8
skills-base.com8

105 of the 120 domain citations in answers naming SkillsDB 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 SkillsDB'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 SkillsDB, 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 skillsdb.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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