Small business=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.
0%from 0% in September 2026
Inside the floor by 13 pointsRank 25 of 104, unchanged
Adapt · 1 category · RankedAdapt Learning
15Judge labels
1First choices
1Negative labels
9 / 14Models named it
1Category
October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10.7, every buyer segment counted.
Best standing
2% in Course authoring tools for mid-market buyers
Rank 12 of 82 in the mid-market standingaccepted challenger
0 of 14 models made it the first choice on the direct prompt; 10% of its 10 labels there were negative.
What the models named instead of Adapt Learning →By buyer segmentRead the same way at every buyer size.
Small business24 of 112
0%4 labels
under the label threshold
Mid-market12 of 82
2%10 labels
accepted challenger
Enterprise48 of 96
0%1 label
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 | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Course authoring tools | Learning and development | 2% | 12 of 82 | 10% | 10 | accepted challenger | ▲+2Since September 2026: 0% → 2%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked. |
Movement
Since September 2026, Adapt Learning held within the floor in its one category: no change cleared 13 points.
Best category · Course authoring tools · by segment
Mid-market▲+2Since September 2026: 0% → 2%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.
2%from 0% in September 2026
Inside the floor by 11 pointsRank 20 → 12 of 76
Enterprise=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.
0%from 0% in September 2026
Inside the floor by 13 pointsRank 63 → 45 of 92
All categories · Mid-market
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Course authoring tools | 0% | 2% | ▲+2Since September 2026: 0% → 2%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 20 → 12 of 82 |
Shares here are read over the models both editions asked, so they can differ by a point or two from the standing above, which counts every model in this edition.
The floor is 13 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one is noise, and both are shown. Movement is read over the twelve models both editions asked; GPT-6 Luna, Muse Glimmer 30B joined this edition and are in the standing but not yet in the comparison. How the floor is measured · The editions
By model
How each model treated Adapt Learning across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.ShowHide
By model
How each model treated Adapt Learning across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
ShowHide| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 1 | 0 | 0 | 1 |
| GPT-5.4 mini | 0 | 0 | 0 | 0 | 0 |
| Gemini 3.5 Flash | 0 | 2 | 0 | 0 | 2 |
| Perplexity Sonar | 0 | 1 | 0 | 0 | 1 |
| Grok 4.1 Fast | 0 | 1 | 0 | 0 | 1 |
| Mistral Small | 0 | 0 | 0 | 0 | 0 |
| DeepSeek V4 Flash | 0 | 0 | 0 | 0 | 0 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 0 | 0 | 0 | 0 |
| Kimi K2 | 1 | 0 | 0 | 0 | 1 |
| GLM 4.7 FlashX | 0 | 0 | 0 | 1 | 1 |
| MiniMax M2.5 | 0 | 1 | 0 | 0 | 1 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 0 | 1 | 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
Direct0 labelsNone
Paraphrase0 labelsNone
Comparative1 labelNone
Budget-constrained12 labels1
Scale-constrained1 labelNone
Negative1 labelNone
First choiceAlternativeMentionNegative15 labels in all, every segment counted; 1 of the 1 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.
“Start with H5P or Adapt — they're genuinely free and can produce professional results” Kimi K2 · Course authoring tools · budget prompt · first choice
“responsive design-friendly and supports standard formats like SCORM and xAPI for LMS integration at no licensing cost” Claude Haiku 4.5 · Course authoring tools · budget prompt · alternative
“If you can self-host and have some developer support: Adapt Learning = zero license cost with SCORM/xAPI output.” Muse Glimmer 30B · Course authoring tools · budget prompt · alternative
“Adapt is a free, open-source authoring tool that creates web-style, vertically scrolling courses” Gemini 3.5 Flash · 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.
“Cons: Requires developer knowledge” GLM 4.7 FlashX · Course authoring tools · budget prompt · soft negative
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.ShowHide
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.
ShowHideProductSame answerTook the first choice insteadHead to head
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, five of the fourteen in this edition, so these counts come from 14 of the 15 answers that named Adapt Learning and are not a share of its labels.
Domains cited
intellum.com12
colossyan.com11
elearningindustry.com10
ispringsolutions.com10
easygenerator.com8
teachfloor.com8
pcmag.com7
elearning.adobe.com6
knowlify.com6
lingio.com6
Eighty-four of the eighty-four domain citations in answers naming Adapt Learning came from somebody else's page.
Pages cited
Pages are listed as the models cited them.
Search and answers
adapt.digital is not in Google's top ten for any of the category's searches. In the answers, Adapt Learning takes 2% of first choices and Articulate 360 takes 30%.ShowHide
Search and answers
adapt.digital is not in Google's top ten for any of the category's searches. In the answers, Adapt Learning takes 2% of first choices and Articulate 360 takes 30%.
ShowHideIn search
Google, US estimatesPosition for “authoring tools”
–
not in the top ten
Position for “elearning authoring tool”
–
not in the top ten
- Searches for its name, Google
- 320 a month (“adapt learning”)
- AI search demand for its name, est.
- 189 a month
- Organic visits to its site
- about 497 a month
- Searches its site ranks for
- 125 · 1 in the top three
- Sites linking to it
- 109
- Paid Google search
- No ads found in the estimate; that does not mean it runs none
Ads on Google
None found in Google's ad transparency records for the US
In answers
This editionShare of first choices
2%
rank 12 of 82 in course authoring tools
Segment leader
30%
Articulate 360
- First choices
- 1 across its categories
- Named in
- 15 answers
- Its own site cited
- in 14 of the answers that named it
Search figures are US estimates from DataForSEO, read September 28, 2026; AI search demand is its modeled, directional estimate, not a count of queries to any assistant. The answers are this edition's. Two measurements side by side: neither is read as the cause of the other.
What it publishes
ShowHide
What it publishes
ShowHideAddresses on adapt.digital
156
subdomains included
Content
143
counted in the table below
Documentation
0
Product · Integration
0 · 0
| Kind | Pages | Last 90 days | 2025-10 to 2026-09 | Latest | Categories named |
|---|---|---|---|---|---|
| Blog | 135 | 0 | 2026-04-29 | ||
| Case study | 4 | undated | |||
| Glossary or explainer | 3 | 0 | 2026-03-16 | ||
| Comparison | 1 | undated |
Most recent
- 2026-04-29Process management blog
- 2026-04-22Continual improvement process blog
- 2026-04-09Process improvement methodologies blog
- 2026-04-07Continuous improvement tools blog
- 2026-04-02Business process improvement consulting blog
- 2026-04-01What are business improvement techniques blog
How it is countedHide how it is counted
Every page adapt.digital exposes, subdomains included. Kind is read from the address and title. The last 90 days, the latest date and the twelve months count pages by when they were published, from the site's feeds, a date in the address, or the page's own publication date, read from up to a hundred of its most recently changed pages; a page that says only when it last changed is counted in its kind but not in when, so the recent counts are a floor, and a kind none of whose pages gives a publication date reads undated. Read September 29, 2026.
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 1Adapt Learning & eXeLearning 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.
The company
Adapt is the company behind Adapt Learning.ShowHide
The company
Adapt is the company behind Adapt Learning.
ShowHideIn its own words
Stated by the vendor, not checked- Customers named
- Psych-UK LtdPsychiatryUKJupiter Underfloor HeatingBAE Systems3V Architectural Hardware
- Not stated on the pages read
- Positioning, who it is for, price, starting price, free plan or trial, integrations, certifications, hosting
What Adapt Learning's own pages state, read September 28, 2026: adapt.digital, adapt.digital/case-studies. A claimed page can correct any of 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 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.
What a new claim receivesHide what a new claim receives
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.