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Index › Products › Torch · September 2026 Edition
3 categories · Ranked

Torch

68Judge labels
4First choices
3Negative labels
12 of 12Models named it
3Categories
September 2026 Edition. Every number here is derived from the raw labels under vendor table vv2026-09.3, every buyer segment counted.
Best standing
7% in Coaching platforms for mid-market buyers
Rank 4 of 116 in the mid-market standingaccepted challenger
1 of 12 models made it the first choice on the direct prompt; 0% of its 29 labels there were negative.
What the models named instead of Torch →
By buyer segmentRead the same way at every buyer size.
In coaching platforms · 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 Torch 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
Coaching platformsLearning and development7%4 of 1160%29accepted challenger
Mentoring softwareLearning and development0%18 of 550%4under 10 labels · led by Together at 37%
Learning management systemsLearning and development0%38 of 740%1under 10 labels · led by TalentLMS at 48%

Movement

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

By model

How each model treated Torch across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.
ShowHide
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.510102
GPT-5.4 mini11103
Gemini 3.5 Flash03003
Perplexity Sonar02002
Grok 4.1 Fast02103
Mistral Small02204
DeepSeek V4 Flash12104
Llama 4 Maverick01001
Qwen 3.7 Flash02002
Kimi K202103
GLM 4.7 FlashX11103
MiniMax M2.502204

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
Direct16 labels1
Paraphrase12 labels2
Comparative22 labelsNone
Budget-constrained5 labelsNone
Scale-constrained9 labels1
Negative4 labelsNone
First choiceAlternativeMentionNegative68 labels in all, every segment counted; 4 of the 4 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 generally recommend Torch if your priority is a true coaching marketplace plus enterprise-ready rollout” GPT-5.4 mini · Coaching platforms · paraphrase prompt · first choice
“Torch is a leadership coaching and alignment platform built for mid-market and enterprise talent teams” Claude Haiku 4.5 · Coaching platforms · direct prompt · first choice
“Given you're at 500 people, I'd prioritize Growthspace, Exec.com, Torch, or CoachHub” DeepSeek V4 Flash · Coaching platforms · scale prompt · first choice
“Torch is an excellent starting point” GLM 4.7 FlashX · Coaching platforms · 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.

No model argued against it.

Named alongside

The products named in the same answers as Torch, over the 68 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Torch was named but was not.
ShowHide
ProductSame answerTook the first choice insteadHead to head
EZRA28 of 680Not among the top eight
Valence19 of 680Not among the top eight
Coachello16 of 681Not among the top eight
Sounding Board11 of 680Not among the top eight
A head-to-head page exists where both products are among a category's top eight. 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 Torch. 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 57 of the 68 answers that named Torch and are not a share of its labels.

Domains cited

boon-health.com48
coachello.ai31
torch.ioYour site29
coachstackhub.ai27
easygenerator.com18
exec.com16
zendikt.com14
coachilly.com13
thinkific.com12
coachhub.com11

190 of the 219 domain citations in answers naming Torch came from somebody else's page.

Pages cited

Pages are listed as the models cited them.

Names read as Torch

What the judge wrote, as written, with how often. The vendor table decides that these count as Torch; a claim can dispute any of them.
Torch (formerly Lessonly) 1

Follow Torch

An email the morning each edition publishes: where this product moved, where it held, and by how much against the noise floor. One address, confirmed by a click; a stop link in every email.

Already following? Everything you follow, with a stop for each.

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 Torch'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 Torch, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.

With a new claim: the vendor brief

A new claim receives the current edition's vendor brief for Torch by email, built from the raw record of the edition. It shows:

  • where Torch is named, by buyer and by framing, and which cells hold its first choices;
  • the claims the models make when they name it, ranked, with the strongest and the weakest quoted;
  • its vocabulary against the segment leader's, and the pages the models cited;
  • who was chosen in the answers that did not name Torch, and every reason the record gives;
  • a battlecard for each top rival: the head-to-head split, why they win, and the reservation quoted against them;
  • one page of published figures cleared to show a buyer.

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 torch.io 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.