GTM AI Index
Index Vendors › LearnUpon · September 2026 Edition
1 category · Ranked

LearnUpon

97Judge labels
10First choices
14Negative labels
12 of 12Models named it
1Category
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
21% in Customer education for mid-market buyers
Rank 2 of 81 in the mid-market standingaccepted challenger
3 of 12 models made it the first choice on the direct prompt; 5% of its 43 labels there were negative.
By buyer segmentStrongest at mid-market.
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 LearnUpon 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 LMSCustomer21%2 of 815%43accepted challenger

Movement

This is the first edition on this tier, so no move can be computed for LearnUpon 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 LearnUpon 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 mini12104
Gemini 3.5 Flash22004
Perplexity Sonar21003
Grok 4.1 Fast04105
Mistral Small12205
DeepSeek V4 Flash03115
Llama 4 Maverick01203
Qwen 3.7 Flash02002
Kimi K203115
GLM 4.7 FlashX21003
MiniMax M2.510203

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
Direct19 labels3
Paraphrase17 labels5
Comparative26 labelsNone
Budget-constrained6 labelsNone
Scale-constrained13 labels2
Negative16 labels2not counted in share
First choiceAlternativeMentionNegative97 labels in all, every segment counted; 10 of the 12 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.

“my default recommendation would be LearnUpon if your main goal is customer training / extended enterprise learning” GPT-5.4 mini · Customer education · paraphrase prompt · first choice
“A very popular mid-market choice with excellent multi-tenant "portal" features” Gemini 3.5 Flash · Customer education · scale prompt · first choice
“I'd recommend LearnUpon as the safest all-around choice” Perplexity Sonar · Customer education · paraphrase prompt · first choice
“I recommend LearnUpon as the best overall choice” Mistral Small · Customer education · direct 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.

“Avoid enterprise tools (Skilljar, Docebo, LearnUpon, Thought Industries)” DeepSeek V4 Flash · Customer education · budget prompt · hard negative
“No native content authoring ... Per-portal pricing adds up” Kimi K2 · Customer education · negative prompt · soft negative

Named alongside

The products named in the same answers as LearnUpon, over the 97 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and LearnUpon was named but was not.
ProductSame answerTook the first choice insteadHead to head
Docebo72 of 976Not in the top three
Thought Industries57 of 972Not in the top three
Absorb LMS45 of 970Not in the top three
WorkRamp42 of 972Not in the top three
LearnWorlds40 of 9710Not in the top three
Intellum32 of 973Not in the top three
Teachfloor23 of 971Not in the top three
Thinkific20 of 973Not 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 LearnUpon. 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 20 of the 97 answers that named LearnUpon and are not a share of its labels.

Domains cited

g2.com10
docebo.com9
minicoursegenerator.com8
meltingspot.io7
teachfloor.com7
disco.co6
easywebinar.com6
guideflow.com6
learnworlds.com6
dupple.com5

Seventy of the seventy domain citations in answers naming LearnUpon came from somebody else's page.

Pages cited

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 LearnUpon'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 LearnUpon, 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 learnupon.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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