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

Mentorgain

49Judge labels
8First choices
0Negative labels
11 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
12% in Mentoring software for mid-market buyers
Rank 3 of 55 in the mid-market standingaccepted challenger
3 of 12 models made it the first choice on the direct prompt; 0% of its 22 labels there were negative.
By buyer segmentStrongest at mid-market.
In mentoring software · 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 Mentorgain 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
Mentoring softwareLearning and development12%3 of 550%22accepted challenger

Movement

This is the first edition on this tier, so no move can be computed for Mentorgain 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 Mentorgain 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 Flash01001
Perplexity Sonar03003
Grok 4.1 Fast00000
Mistral Small10102
DeepSeek V4 Flash11103
Llama 4 Maverick12104
Qwen 3.7 Flash00000
Kimi K221104
GLM 4.7 FlashX11103
MiniMax M2.501102

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
Direct10 labels4
Paraphrase9 labels2
Comparative11 labelsNone
Budget-constrained14 labels1
Scale-constrained4 labels1
Negative1 labelNone
First choiceAlternativeMentionNegative49 labels in all, every segment counted; 8 of the 8 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.

“I'd start with Together Platform or Mentorgain for a demo. They hit the sweet spot of functionality without enterprise complexity.” Kimi K2 · Mentoring software · paraphrase prompt · first choice
“the best employee mentoring platform for a mid-sized B2B company would be MentorGain, Together Platform, or PushFar” Llama 4 Maverick · Mentoring software · paraphrase prompt · first choice
“Best overall value for a mid‑market B2B company (fast go‑live, low cost, strong features): Mentorgain” GLM 4.7 FlashX · Mentoring software · direct prompt · first choice
“Mid-market / fast deployment: Together, Mentorloop, Ten Thousand Coffees, Mentorgain” DeepSeek V4 Flash · Mentoring software · scale 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.

No model argued against it.

Named alongside

The products named in the same answers as Mentorgain, over the 49 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Mentorgain was named but was not.
ProductSame answerTook the first choice insteadHead to head
MentorcliQ30 of 491Not in the top three
PushFar29 of 4910Not in the top three
Chronus27 of 490Not in the top three
Qooper24 of 497Not in the top three
Mentornity21 of 498Not in the top three
Ten Thousand Coffees11 of 490Not in the top three
MicroMentor8 of 490Not in the top three
Guider7 of 490Not 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 Mentorgain. 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 48 of the 49 answers that named Mentorgain and are not a share of its labels.

Domains cited

brancher.com.au40
mentorgain.comYour site38
gartner.com33
qooper.io30
chronus.com26
guideflow.com24
getapp.com21
g2.com19
peoplemanagingpeople.com19
softwareadvice.com19

231 of the 269 domain citations in answers naming Mentorgain came from somebody else's page.

Pages cited

Pages are listed as the models cited them.

Names read as Mentorgain

What the judge wrote, as written, with how often. The vendor table decides that these count as Mentorgain; a claim can dispute any of them.
MentorGain 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 Mentorgain'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 Mentorgain, 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 mentorgain.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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