HR AI Index
Index Vendors › LearnDash · September 2026 Edition
3 categories · Named, not ranked

LearnDash

13Judge labels
0First choices
1Negative labels
8 of 12Models named it
3Categories
September 2026 Edition. Every number here is derived from the raw labels under vendor table vv2026-09.1, every buyer segment counted.
Standing
7 labels, too few to rank
A product needs 10 labels in a category before a share or quadrant is stated. LearnDash was named 7 times in Learning management syst and 2 other categories, where TalentLMS led with 48%. The labels and the evidence are below, counted exactly.
By buyer segmentRead the same way at every buyer size.
In learning management syst · 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 LearnDash 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
Learning management systemsLearning and development0%23 of 7420%5under 10 labels · led by TalentLMS at 48%
Course authoring toolsLearning and development0%39 of 860%1under 10 labels · led by Articulate 360 at 22%
Online course librariesLearning and development0%56 of 730%1under 10 labels · led by Udemy Business at 32%

Movement

This is the first edition on this tier, so no move can be computed for LearnDash 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 LearnDash 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 Sonar01001
Grok 4.1 Fast00000
Mistral Small00000
DeepSeek V4 Flash00101
Llama 4 Maverick00000
Qwen 3.7 Flash00101
Kimi K200000
GLM 4.7 FlashX01113
MiniMax M2.500000

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
Direct0 labelsNone
Paraphrase3 labelsNone
Comparative1 labelNone
Budget-constrained7 labelsNone
Scale-constrained0 labelsNone
Negative2 labelsNone
First choiceAlternativeMentionNegative13 labels in all, every segment counted; 0 of the 0 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 if your company needs a highly customizable setup with sales and certification workflows” Perplexity Sonar · Course authoring tools · paraphrase prompt · alternative
“WordPress-based learning sites | Easy WordPress integration” GLM 4.7 FlashX · Learning management syst · 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.

“Researchers have identified serious security flaws in these three popular WordPress LMS plugins” GLM 4.7 FlashX · Learning management syst · negative prompt · soft negative

Named alongside

The products named in the same answers as LearnDash, over the 13 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and LearnDash was named but was not.
ProductSame answerTook the first choice insteadHead to head
Moodle10 of 132Not in the top three
TalentLMS9 of 136Not in the top three
Canvas LMS8 of 131Not in the top three
Thinkific7 of 130Not in the top three
Zoho Learn6 of 130Not in the top three
GoSkills5 of 130Not in the top three
Google Classroom5 of 130Not in the top three
SafetyCulture4 of 130Not in the top three
Sakai4 of 130Not in the top three
Absorb LMS3 of 131Not 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 LearnDash. 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 10 of the 13 answers that named LearnDash and are not a share of its labels.

Domains cited

goskills.com7
digitalhill.com4
group.app3
peoplemanagingpeople.com3
proprofstraining.com3
agilityportal.io2
docebo.com2
elearningindustry.com2
g2.com2
guideflow.com2

Thirty of the thirty domain citations in answers naming LearnDash 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 LearnDash'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 LearnDash, 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 learndash.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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