| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Remote monitoring and management | IT operations and endpoint | 0% | 61 of 62 | 55% | 31 | criticized challenger | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Patch management | IT operations and endpoint | 0% | 84 of 85 | 54% | 13 | criticized challenger | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Unified endpoint management | IT operations and endpoint | 0% | 49 of 53 | 100% | 1 | under 10 labels · led by Microsoft Intune at 39% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| RMM | 0% | 0% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 51 → 61 of 62 |
| Patching | 0% | 0% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 75 → 84 of 85 |
| UEM | 0% | 0% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 29 → 49 of 53 |
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 11 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 | 1 | 2 |
| GPT-5.4 mini | 0 | 3 | 0 | 1 | 4 |
| Gemini 3.5 Flash | 0 | 0 | 0 | 4 | 4 |
| Perplexity Sonar | 0 | 1 | 0 | 0 | 1 |
| Grok 4.20 | 0 | 1 | 1 | 4 | 6 |
| Mistral Small | 0 | 0 | 1 | 2 | 3 |
| DeepSeek V4 Flash | 0 | 1 | 0 | 2 | 3 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 2 | 2 | 4 | 8 |
| Kimi K2 | 0 | 0 | 2 | 2 | 4 |
| GLM 4.7 FlashX | 0 | 1 | 0 | 0 | 1 |
| MiniMax M2.5 | 0 | 0 | 1 | 2 | 3 |
| GPT-6 Luna | 0 | 0 | 1 | 2 | 3 |
| Muse Glimmer 30B | 0 | 1 | 1 | 1 | 3 |
Verbatim evidence the judge attached to positive labels.
“Enterprise buyers typically choose solutions like Motadata ServiceOps, ManageEngine Patch Manager Plus, and Kaseya VSA” Claude Haiku 4.5 · Patching · comparative prompt · alternative
“if you want a broad cloud-based platform with strong endpoint management and network monitoring” GPT-5.4 mini · RMM · paraphrase prompt · alternative
“Kaseya VSA if you want suite breadth and are comfortable with an enterprise-style platform” GPT-5.4 mini · RMM · comparative prompt · alternative
“If you’re already in the Kaseya or Datto ecosystem, sticking with Kaseya VSA” GLM 4.7 FlashX · RMM · 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.
“In July 2021, the REvil ransomware group exploited a zero-day vulnerability in Kaseya VSA to push ransomware to more than 1,500 organizations” Claude Haiku 4.5 · RMM · negative prompt · hard negative
“Frequently called out as one of the worst in MSP communities for being buggy, slow updates, poor third-party patching, and subpar support.” Grok 4.20 · RMM · negative prompt · hard negative
“the platform still carries a legacy of risk and is often recommended to be avoided or used with extreme caution” Mistral Small · RMM · negative prompt · hard negative
“The 2021 supply chain attack via Kaseya VSA resulted in ransomware being deployed” Mistral Small · Patching · negative prompt · hard negative
Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 100 of the 115 answers that named Kaseya VSA and are not a share of its labels.
342 of the 342 domain citations in answers naming Kaseya VSA 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 Kaseya VSA's own pages state, read September 28, 2026: kaseya.com/resource/kaseya-vsa-professional, kaseya.com/resource/vsa-security-whitepaper, kaseya.com/resource/kaseya-365-endpoint-guide, kaseya.com/resource/kaseya-mdm-vsa-webinar-recording, kaseya.com/resource/kaseya-365-16-essential-automations. 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 Kaseya VSA'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 Kaseya VSA, 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 Kaseya VSA by email, built from the raw record of the edition. It shows: