Every category where a model named Ten Thousand Coffees 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
Mentoring software	Learning and development	2%	9 of 55	0%	15	accepted challenger

Movement

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

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

Paraphrase5 labelsNone

Comparative20 labelsNone

Budget-constrained1 labelNone

Scale-constrained7 labels1

Negative5 labelsNone

First choiceAlternativeMentionNegative44 labels in all, every segment counted; 1 of the 1 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.

“Mid-market / fast deployment: Together, Mentorloop, Ten Thousand Coffees, Mentorgain” DeepSeek V4 Flash · Mentoring software · scale prompt · first choice

“specializes in automated, smart introductions to break down organizational silos” Gemini 3.5 Flash · Mentoring software · comparative prompt · alternative

“Best For: Networking, peer-to-peer learning, and organic connection.” GLM 4.7 FlashX · Mentoring software · comparative prompt · alternative

“Community networking + discovery: Ten Thousand Coffees, PushFar” DeepSeek V4 Flash · Mentoring software · comparative 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 Ten Thousand Coffees, over the 43 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Ten Thousand Coffees was named but was not.

ProductSame answerTook the first choice insteadHead to head

MentorcliQ41 of 439Not in the top three

Together40 of 436Not in the top three

Chronus39 of 434Not in the top three

Qooper38 of 4313Not in the top three

Mentorloop25 of 431Not in the top three

Guider17 of 430Not in the top three

PushFar14 of 432Not in the top three

Mentorgain11 of 430Not in the top three

ADPList9 of 430Not in the top three

MentorCity9 of 430Not 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 Ten Thousand Coffees. 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 39 of the 43 answers that named Ten Thousand Coffees and are not a share of its labels.

Domains cited

qooper.io35

chronus.com29

brancher.com.au25

gartner.com24

mentorcity.com18

mentorcliq.com18

mentorgain.com17

togetherplatform.com14

guideflow.com12

hrlineup.com10

202 of the 202 domain citations in answers naming Ten Thousand Coffees came from somebody else's page.

Pages cited

chronus.com/blog/top-mentoring-platforms27

brancher.com.au/blog/best-mentoring-software24

gartner.com/reviews/market/mentoring-software24

qooper.io/blog/best-enterprise-mentoring-software20

qooper.io/blog/mentoring-platforms-for-large-companies-and-global-organizations17

mentorcity.com/best-enterprise-mentoring-software14

qooper.io/blog/top-10-online-mentoring-platforms13

mentorgain.com/blog/best-mentorship-software-for-companies12

Pages are listed as the models cited them.

Names read as Ten Thousand Coffees

What the judge wrote, as written, with how often. The vendor table decides that these count as Ten Thousand Coffees; a claim can dispute any of them.

Ten Thousand Coffees (10KC) 310KC 210KC (Ten Thousand Coffees) 2

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 Ten Thousand Coffees'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 Ten Thousand Coffees, 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 tenthousandcoffees.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.