GTM AI Index

Index › Vendors › LearnDash · September 2026 Edition

1 category · Named, not ranked

LearnDash

4Judge labels

0First choices

1Negative labels

2 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.

Standing

1 label, too few to rank

A product needs 10 labels in a category before a share or quadrant is stated. LearnDash was named 1 time in Customer education, where TalentLMS led with 33%. The labels and the evidence are below, counted exactly.

By buyer segmentRead the same way at every buyer size.

Small business21 of 79

under the label threshold

Mid-market31 of 81

under the label threshold

Enterprise49 of 54

under the label threshold

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 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.

Category	Function	Share	Rank	Negative rate	Labels	Quadrant
Customer education and LMS	Customer	0%	31 of 81	0%	1	under 10 labels · led by TalentLMS at 33%

Movement

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

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

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

Paraphrase0 labelsNone

Comparative0 labelsNone

Budget-constrained3 labelsNone

Scale-constrained0 labelsNone

Negative1 labelNone

First choiceAlternativeMentionNegative4 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 DIY Option for High Volume ... if you already use WordPress” Gemini 3.5 Flash · Customer education · budget 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.

No model argued against it.

Named alongside

The products named in the same answers as LearnDash, over the 4 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

Thinkific4 of 41Not in the top three

TalentLMS3 of 42Not in the top three

Moodle3 of 40Not in the top three

Docebo2 of 41Not in the top three

Skilljar2 of 41Not in the top three

Thought Industries2 of 41Not in the top three

LearnWorlds2 of 40Not in the top three

Podia2 of 40Not in the top three

LearnUpon1 of 41Not in the top three

Blackboard1 of 40Not 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 1 of the 4 answers that named LearnDash and are not a share of its labels.

Domains cited

digitalhill.com1

goskills.com1

guideflow.com1

knowlify.com1

minicoursegenerator.com1

teachfloor.com1

us.fitgap.com1

Seven of the seven domain citations in answers naming LearnDash came from somebody else's page.

Pages cited

digitalhill.com/blog/best-affordable-lms-small-business-20261

goskills.com/resources/affordable-lms1

guideflow.com/blog/customer-training-software1

knowlify.com/articles/best-customer-training-software1

minicoursegenerator.com/blog/best-customer-education-platforms1

teachfloor.com/blog/best-customer-education-platforms1

us.fitgap.com/search/customer-education-software/small-business1

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.