Every category where a model named Learn Amp 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
Learning experience platforms	Learning and development	28%	1 of 80	4%	24	accepted challenger
Learning management systems	Learning and development	0%	22 of 74	0%	3	under 10 labels · led by TalentLMS at 48%

Movement

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

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

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

Direct11 labels8

Paraphrase7 labels4

Comparative11 labels1not counted in share

Budget-constrained0 labelsNone

Scale-constrained2 labels1

Negative1 labelNone

First choiceAlternativeMentionNegative32 labels in all, every segment counted; 13 of the 14 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.

“Best all-in-one mid-market learning platform. This is frequently recommended as the most balanced option for mid-market organizations.” Claude Haiku 4.5 · Learning experience plat · direct prompt · first choice

“1 | Learn Amp | Built specifically as an all‑in‑one mid‑market platform; strong on engagement, social learning, and analytics.” GLM 4.7 FlashX · Learning experience plat · direct prompt · first choice

“1. Learn Amp — *Best all-in-one for mid-market* ... Frequently ranked the top mid-market-specific platform” DeepSeek V4 Flash · Learning experience plat · direct prompt · first choice

“The best LXP for a mid-sized B2B company would be Learn Amp, as it is designed for mid-sized organizations” Llama 4 Maverick · Learning experience plat · 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.

“Juno LXP / Learn Amp (verify scalability)” Kimi K2 · Learning experience plat · negative prompt · soft negative

Named alongside

The products named in the same answers as Learn Amp, over the 32 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Learn Amp was named but was not.

ProductSame answerTook the first choice insteadHead to head

360Learning28 of 325Compare →

Docebo22 of 321Not in the top three

Absorb LMS19 of 320Not in the top three

Cornerstone OnDemand14 of 320Not in the top three

Continu12 of 320Not in the top three

Degreed11 of 321Not in the top three

GoSkills10 of 321Compare →

Litmos9 of 320Not in the top three

LearnUpon6 of 320Not in the top three

LinkedIn Learning6 of 320Not 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 Learn Amp. 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 27 of the 32 answers that named Learn Amp and are not a share of its labels.

Domains cited

digitalhumans.com22

goskills.com18

ispring.com15

360learning.com13

docebo.com12

thirst.io10

g2.com9

group.app9

peoplemanagingpeople.com9

boardinfinity.com8

125 of the 125 domain citations in answers naming Learn Amp came from somebody else's page.

Pages cited

digitalhumans.com/blog/the-10-best-learning-experience-platforms-lxp-reviewed-for-202622

goskills.com/resources/learning-experience-platforms16

ispring.com/knowledge-hub/learning-experience-platforms13

360learning.com/blog/learning-experience-platforms12

thirst.io/blog/top-12-learning-experience-platforms10

boardinfinity.com/blog/best-lxp-platforms-for-corporate-training8

cloudshare.com/blog/best-learning-experience-platforms8

group.app/blog/learning-experience-platforms8

Pages are listed as the models cited them.

Names read as Learn Amp

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

LearnAmp 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 Learn Amp'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 Learn Amp, 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 learn.studio 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.