GTM AI Index
Index Vendors › Disco · September 2026 Edition
2 categories · Ranked

Disco

27Judge labels
1First choices
6Negative labels
10 of 12Models named it
2Categories
September 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-09-16.3, every buyer segment counted.
Best standing
2% in Customer education for small business buyers
Rank 19 of 81 in the mid-market standing
0 of 12 models made it the first choice on the direct prompt; 14% of its 7 labels there were negative.
By buyer segmentRead the same way at every buyer size.
In customer education · 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 Disco 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
Customer education and LMSCustomer0%19 of 8114%7under 10 labels · led by TalentLMS at 33%
Community platformsCustomer0%70 of 74100%1under 10 labels · led by Higher Logic Vanilla at 23%

Movement

This is the first edition on this tier, so no move can be computed for Disco yet. The next is due October 1, 2026. 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 Disco across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.500101
GPT-5.4 mini00000
Gemini 3.5 Flash00000
Perplexity Sonar00011
Grok 4.1 Fast00101
Mistral Small00000
DeepSeek V4 Flash00000
Llama 4 Maverick00000
Qwen 3.7 Flash00011
Kimi K201102
GLM 4.7 FlashX01001
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
Direct6 labels1
Paraphrase0 labelsNone
Comparative13 labelsNone
Budget-constrained1 labelNone
Scale-constrained3 labelsNone
Negative4 labelsNone
First choiceAlternativeMentionNegative27 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.

“AI-native platforms: Disco (AI Canvas for program creation, Ask AI for instant Q&A)” Kimi K2 · Customer education · comparative prompt · alternative
“AI program creation with native community tools, modern, cohort + live + self-paced” GLM 4.7 FlashX · Customer education · 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.

“Top Platforms to Avoid ... 2. Disco — Approach with Caution ... Scores lowest overall among major platforms” Qwen 3.7 Flash · Community · negative prompt · hard negative
“Native community and academy features, but narrower enterprise LMS depth.” Perplexity Sonar · Customer education · comparative prompt · soft negative

Named alongside

The products named in the same answers as Disco, over the 27 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Disco was named but was not.
ProductSame answerTook the first choice insteadHead to head
LearnWorlds18 of 276Not in the top three
Skilljar17 of 279Not in the top three
Docebo17 of 272Not in the top three
Thought Industries15 of 270Not in the top three
TalentLMS13 of 276Not in the top three
Teachfloor13 of 270Not in the top three
LearnUpon12 of 270Not in the top three
WorkRamp11 of 271Not in the top three
Thinkific8 of 270Not in the top three
Absorb LMS7 of 270Not 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 Disco. 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 9 of the 27 answers that named Disco and are not a share of its labels.

Domains cited

minicoursegenerator.com8
disco.co7
easywebinar.com6
knowlify.com6
meltingspot.io6
teachfloor.com6
guideflow.com5
cloudshare.com4
continu.com4
dupple.com4

Fifty-six of the fifty-six domain citations in answers naming Disco came from somebody else's page.

Pages cited

Pages are listed as the models cited them.

The company

Discourse is the company behind Disco.
Website
discourse.org
Founded
2013

From Wikidata, fetched September 14, 2026. These describe the company, not the product's standing, and a claimed page can dispute any of them. · Wikidata · LinkedIn

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 Disco'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 Disco, 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 discourse.org 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.