| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Learning experience platforms | Learning and development | 0% | 61 of 89 | 25% | 4 | under 10 labels · led by 360Learning at 26% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked. |
| Learning management systems | Learning and development | 0% | 52 of 61 | 50% | 4 | under 10 labels · led by TalentLMS at 51% | newNew since September 2026: not ranked then, 0% now. |
| Compliance training | Learning and development | 0% | 70 of 92 | 0% | 1 | under 10 labels · led by Traliant at 22% | newNew since September 2026: not ranked then, 0% now. |
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Learning experience plat | 0% | 0% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 73 → 61 of 89 |
| Learning management syst | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 52 of 61, unchanged |
| Compliance training | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 70 of 92, unchanged |
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
| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 0 | 1 | 0 | 1 |
| GPT-5.4 mini | 0 | 0 | 1 | 0 | 1 |
| Gemini 3.5 Flash | 0 | 0 | 0 | 1 | 1 |
| Perplexity Sonar | 0 | 0 | 0 | 0 | 0 |
| Grok 4.1 Fast | 0 | 0 | 0 | 0 | 0 |
| 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 | 2 | 2 |
| Kimi K2 | 0 | 0 | 0 | 0 | 0 |
| GLM 4.7 FlashX | 0 | 0 | 0 | 0 | 0 |
| MiniMax M2.5 | 0 | 0 | 3 | 0 | 3 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 0 | 1 | 0 | 0 | 1 |
Verbatim evidence the judge attached to positive labels.
“Part of the top 5 corporate LMS vendors” Muse Glimmer 30B · Learning management syst · comparative prompt · alternative
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.
“you want to avoid both lightweight, bare-bones systems ... and monolithic enterprise systems (like SAP SuccessFactors or Workday Learning, which are expensive and heavily administrative)” Gemini 3.5 Flash · Learning management syst · scale prompt · hard negative
“Avoid traditional Legacy Learning Management Systems (like older versions of Blackboard or rigid SAP SuccessFactors implementations)” Qwen 3.7 Flash · Learning experience plat · negative prompt · hard negative
“not quite large enough to justify massive enterprise systems like Cornerstone OnDemand or SAP SuccessFactors, which often come with heavy implementation costs” Qwen 3.7 Flash · Learning management syst · scale prompt · soft negative
Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 60 of the 69 answers that named SAP SuccessFactors Learning and are not a share of its labels.
182 of the 182 domain citations in answers naming SAP SuccessFactors Learning came from somebody else's page.
Pages are listed as the models cited them.
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.
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.
What SAP SuccessFactors Learning's own pages state, read September 28, 2026: sap.com/partners/profile/go1-learning-content-for-sap-successfactors, sap.com/products/hcm/successfactors-learning-skill-inference-for-learning.html, sap.com/products/hcm/successfactors-learning-image-generation-for-learning.html, sap.com/products/hcm/successfactors-learning-personalized-learning-recommendations.html, sap.com/italy/products/hcm/successfactors-learning-skill-inference-for-learning.html. A claimed page can correct any of them.
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 SAP SuccessFactors 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 SAP SuccessFactors Learning, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.
A new claim receives the current edition's vendor brief for SAP SuccessFactors Learning by email, built from the raw record of the edition. It shows: