Every category where a model named TechWolf 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.

Category	Function	Share	Rank	Negative rate	Labels	Quadrant
Skills intelligence	Performance and talent management	9%	5 of 162	18%	11	accepted challenger
Talent intelligence	Performance and talent management	0%	61 of 77	0%	1	under 10 labels · led by Pin at 17%

Movement

This is the first edition on this tier, so no move can be computed for TechWolf 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 TechWolf across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.

Model	First choice	Alternative	Mention	Negative	Labels
Claude Haiku 4.5	0	0	0	0	0
GPT-5.4 mini	0	1	0	0	1
Gemini 3.5 Flash	0	1	1	1	3
Perplexity Sonar	0	1	0	0	1
Grok 4.1 Fast	1	0	0	0	1
Mistral Small	0	0	0	0	0
DeepSeek V4 Flash	1	0	0	1	2
Llama 4 Maverick	0	0	0	0	0
Qwen 3.7 Flash	0	0	0	0	0
Kimi K2	1	1	0	0	2
GLM 4.7 FlashX	0	1	0	0	1
MiniMax M2.5	1	0	0	0	1

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

Direct6 labels1

Paraphrase13 labels6

Comparative3 labels1not counted in share

Budget-constrained2 labels1

Scale-constrained5 labels1

Negative0 labelsNone

First choiceAlternativeMentionNegative29 labels in all, every segment counted; 9 of the 10 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.

“at 500 employees, specialized mid-market platforms like TechWolf, 365Talents, or SkillPanel may be a better fit for speed and cost” DeepSeek V4 Flash · Skills intelligence · scale prompt · first choice

“Primary Recommendation: TechWolf + Lightcast (Open Skills) Combination” MiniMax M2.5 · Skills intelligence · paraphrase prompt · first choice

“My Top Recommendation: TechWolf or 365Talents” Kimi K2 · Skills intelligence · paraphrase prompt · first choice

“paired with TechWolf as the inference tool” Grok 4.1 Fast · Skills intelligence · paraphrase prompt · first choice

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.

“or *TechWolf* (built for complex global structures)” Gemini 3.5 Flash · Skills intelligence · paraphrase prompt · soft negative

“Strong but can be overkill/heavier integration” DeepSeek V4 Flash · Skills intelligence · paraphrase prompt · soft negative

Named alongside

The products named in the same answers as TechWolf, over the 29 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and TechWolf was named but was not.

ProductSame answerTook the first choice insteadHead to head

Eightfold AI24 of 294Not in the top three

Gloat19 of 290Not in the top three

iMocha14 of 291Not in the top three

Fuel5013 of 291Not in the top three

Lightcast Open Skills12 of 292Not in the top three

Workday Skills Cloud12 of 291Not in the top three

365Talents10 of 291Not in the top three

Beamery7 of 290Not in the top three

Degreed5 of 291Not in the top three

ESCO5 of 290Not 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 TechWolf. 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 21 of the 29 answers that named TechWolf and are not a share of its labels.

Domains cited

hrtechsaas.com17

fuel50.com12

acorn.works11

peoplemanagingpeople.com10

darwinbox.com9

f6s.com9

docebo.com8

ovi-me.com8

cloudassess.com7

everestgrp.com7

Ninety-eight of the ninety-eight domain citations in answers naming TechWolf came from somebody else's page.

Pages cited

hrtechsaas.com/blog/skills-intelligence-software15

acorn.works/best/the-8-best-skills-taxonomy-software-in-202610

fuel50.com/blog/skills-intelligence-platforms10

darwinbox.com/blog/best-skills-management-software8

ovi-me.com/blog/ai-skills-inference-taxonomy-platforms-20268

peoplemanagingpeople.com/tools/best-skills-management-software-for-enterprises8

cloudassess.com/blog/best-skills-intelligence-platforms7

docebo.com/learning-network/blog/skills-intelligence-platforms7

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 TechWolf'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 TechWolf, 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 techwolf.ai 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.