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Index › Products › Adapt Learning · September 2026 Edition

Adapt · 1 category · Named, not ranked

Adapt Learning

15Judge labels

0First choices

2Negative labels

7 of 12Models named it

1Category

September 2026 Edition. Every number here is derived from the raw labels under vendor table vv2026-09.3, 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. Adapt Learning was named 7 times in Course authoring tools, where Articulate 360 led with 22%. The labels and the evidence are below, counted exactly.

By buyer segmentRead the same way at every buyer size.

Small business25 of 86

under the label threshold

Mid-market20 of 86

under the label threshold

Enterprise63 of 80

under the label threshold

In course authoring tools · 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 Adapt Learning 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
Course authoring tools	Learning and development	0%	20 of 86	0%	7	under 10 labels · led by Articulate 360 at 22%

Movement

This is the first edition on this tier, so no move can be computed for Adapt Learning yet. From the next edition this section shows, per buyer segment and per category, whether its share moved by more than the measured noise floor.

By model

How each model treated Adapt Learning across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.

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

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

Comparative3 labelsNone

Budget-constrained6 labelsNone

Scale-constrained2 labelsNone

Negative4 labelsNone

First choiceAlternativeMentionNegative15 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.

“A free, open-source framework that creates responsive, vertical-scrolling courses” Gemini 3.5 Flash · Course authoring tools · budget prompt · alternative

“Choose Adapt if budget is a primary concern and you have technical resources” Kimi K2 · Course authoring tools · comparative prompt · alternative

“Need free/open-source and have technical support: Adapt” GPT-5.4 mini · Course authoring tools · budget prompt · alternative

“Free (open-source) | Fully responsive HTML5 courses” Grok 4.1 Fast · Course authoring tools · 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 Adapt Learning, over the 15 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Adapt Learning was named but was not.

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ProductSame answerTook the first choice insteadHead to head

iSpring Suite12 of 151Not among the top eight

Adobe Captivate11 of 150Not among the top eight

H5P10 of 154Not among the top eight

Articulate Rise 3609 of 153Not among the top eight

Articulate 3608 of 153Not among the top eight

Elucidat8 of 150Not among the top eight

Lectora7 of 150Not among the top eight

Easygenerator5 of 151Not among the top eight

dominKnow | ONE5 of 150Not among the top eight

ActivePresenter3 of 151Not among the top eight

A head-to-head page exists where both products are among a category's top eight. 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 Adapt Learning. 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 15 answers that named Adapt Learning and are not a share of its labels.

Domains cited

colossyan.com7

atomisystems.com5

confirm.com5

elearningindustry.com5

elearningsolutionslab.com5

gartner.com4

intellum.com4

lingio.com4

proprofstraining.com4

coursebox.ai3

Forty-six of the forty-six domain citations in answers naming Adapt Learning came from somebody else's page.

Pages cited

colossyan.com/posts/elearning-authoring-tools-comparison-chart-for-2026-top-10-tools7

confirm.com/blog/elearning-authoring-tools5

elearningsolutionslab.com/best-elearning-authoring-tools5

gartner.com/reviews/market/elearning-authoring-tools4

intellum.com/resources/blog/elearning-authoring-tools4

lingio.com/blog/elearning-authoring-tools4

coursebox.ai/blog/best-free-course-authoring-tools3

paradisosolutions.com/blog/best-free-elearning-authoring-tools3

Pages are listed as the models cited them.

Names read as Adapt Learning

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

Adapt 1

Follow Adapt Learning

An email the morning each edition publishes: where this product moved, where it held, and by how much against the noise floor. One address, confirmed by a click; a stop link in every email.

Already following? Everything you follow, with a stop for each.

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 Adapt Learning'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 Adapt Learning, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.

With a new claim: the vendor brief

A new claim receives the current edition's vendor brief for Adapt Learning by email, built from the raw record of the edition. It shows:

where Adapt Learning is named, by buyer and by framing, and which cells hold its first choices;
the claims the models make when they name it, ranked, with the strongest and the weakest quoted;
its vocabulary against the segment leader's, and the pages the models cited;
who was chosen in the answers that did not name Adapt Learning, and every reason the record gives;
a battlecard for each top rival: the head-to-head split, why they win, and the reservation quoted against them;
one page of published figures cleared to show a buyer.

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 adapt.digital 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.