| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Learning management systems | Learning and development | 0% | 14 of 61 | 24% | 17 | accepted challenger | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked. |
| Candidate assessment | Talent acquisition | 0% | 62 of 118 | 0% | 1 | under 10 labels · led by TestGorilla at 52% | newNew since September 2026: not ranked then, 0% now. |
| Learning experience platforms | Learning and development | 0% | 76 of 89 | 100% | 1 | 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. |
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Learning management syst | 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 48 → 14 of 61 |
| Candidate assessment | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 62 of 118, unchanged |
| 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 41 → 76 of 89 |
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 | 1 | 0 | 0 | 1 |
| GPT-5.4 mini | 0 | 0 | 1 | 0 | 1 |
| Gemini 3.5 Flash | 0 | 0 | 0 | 0 | 0 |
| Perplexity Sonar | 0 | 0 | 1 | 0 | 1 |
| Grok 4.1 Fast | 0 | 0 | 1 | 1 | 2 |
| Mistral Small | 0 | 1 | 1 | 0 | 2 |
| DeepSeek V4 Flash | 0 | 1 | 0 | 2 | 3 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 1 | 0 | 0 | 1 |
| Kimi K2 | 1 | 0 | 0 | 0 | 1 |
| GLM 4.7 FlashX | 0 | 0 | 2 | 0 | 2 |
| MiniMax M2.5 | 0 | 0 | 1 | 1 | 2 |
| GPT-6 Luna | 0 | 1 | 0 | 0 | 1 |
| Muse Glimmer 30B | 1 | 0 | 0 | 1 | 2 |
Verbatim evidence the judge attached to positive labels.
“Choose Canvas or Brightspace for modern, SaaS higher-ed with strong integrations/analytics.” Muse Glimmer 30B · Learning management syst · comparative prompt · first choice
“Canvas or D2L Brightspace (Canvas for market dominance, D2L for accessibility and AI)” Kimi K2 · Learning management syst · comparative prompt · first choice
“Consider it when analytics, inclusive learning, or supporting different education settings are priorities.” GPT-6 Luna · Learning management syst · comparative prompt · alternative
“Strong focus on learner analytics and early-flagging of at-risk students” DeepSeek V4 Flash · 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.
“Has one of the most strongly worded negative reviews on Capterra” DeepSeek V4 Flash · Learning experience plat · negative prompt · hard negative
“Brightspace (D2L) has received criticism for being "the worst LMS" in some user experiences... However, experiences vary significantly by institution and use case.” MiniMax M2.5 · Learning management syst · negative prompt · soft negative
“User reviews highlight persistent usability and architecture complaints” Muse Glimmer 30B · Learning management syst · negative prompt · soft negative
“Be cautious with D2L if you have a small staff” DeepSeek V4 Flash · Learning management syst · negative 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 37 of the 41 answers that named D2L Brightspace and are not a share of its labels.
No domain is on file for D2L Brightspace, so its own site is not marked.
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.
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 D2L Brightspace'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 D2L Brightspace, 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 D2L Brightspace by email, built from the raw record of the edition. It shows: