| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| People analytics | Workforce planning and analytics | 0% | 22 of 114 | 25% | 20 | criticized challenger | =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 |
|---|---|---|---|---|---|
| People analytics | 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 28 → 22 of 114 |
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 | 0 | 0 | 0 |
| GPT-5.4 mini | 0 | 0 | 0 | 0 | 0 |
| Gemini 3.5 Flash | 0 | 1 | 0 | 2 | 3 |
| Perplexity Sonar | 0 | 0 | 1 | 0 | 1 |
| Grok 4.1 Fast | 0 | 2 | 0 | 0 | 2 |
| Mistral Small | 0 | 0 | 1 | 1 | 2 |
| DeepSeek V4 Flash | 1 | 0 | 2 | 0 | 3 |
| Llama 4 Maverick | 0 | 0 | 1 | 1 | 2 |
| Qwen 3.7 Flash | 0 | 1 | 0 | 0 | 1 |
| Kimi K2 | 1 | 1 | 0 | 0 | 2 |
| GLM 4.7 FlashX | 0 | 1 | 0 | 0 | 1 |
| MiniMax M2.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-6 Luna | 1 | 0 | 0 | 0 | 1 |
| Muse Glimmer 30B | 0 | 0 | 1 | 1 | 2 |
Verbatim evidence the judge attached to positive labels.
“Examples with better reputations for ethical approaches include Culture Amp, Crunchr, and One Model” Kimi K2 · People analytics · negative prompt · first choice
“Visier or One Model (choose Visier for speed, One Model for maximum control)” DeepSeek V4 Flash · People analytics · comparative prompt · first choice
“Start with Visier and One Model.” GPT-6 Luna · People analytics · comparative prompt · first choice
“Most flexible for organizations with complex data architectures and specific modeling needs” Kimi K2 · People analytics · 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.
“avoid enterprise-focused tools like Visier, Workday, One Model, ChartHop...” Mistral Small · People analytics · negative prompt · hard negative
“Included in the "avoid or be cautious about" enterprise list above.” Muse Glimmer 30B · People analytics · negative prompt · hard negative
“Deeply customizable enterprise workbenches (e.g., *One Model*, *Visier*...) ... these tools are a trap” Gemini 3.5 Flash · People analytics · negative prompt · soft negative
“may not be suitable for small businesses due to their high costs and complex setups” Llama 4 Maverick · People analytics · 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 80 of the 82 answers that named One Model and are not a share of its labels.
306 of the 306 domain citations in answers naming One Model 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.
| Kind | Pages | Last 90 days | 2025-10 to 2026-09 | Latest | Categories named |
|---|---|---|---|---|---|
| Blog | 241 | 8 | 2026-09-28 | People analytics, Workforce planning | |
| Report or ebook | 49 | undated | People analytics, Workforce planning | ||
| Conference or event | 25 | 0 | 2026-02-13 | People analytics | |
| News or press | 20 | 0 | 2026-03-12 | People analytics | |
| Webinar or virtual event | 13 | undated | Workforce planning | ||
| Comparison | 9 | undated | Talent intelligence, People analytics | ||
| Glossary or explainer | 3 | 0 | 2026-05-22 | People analytics | |
| Case study | 2 | undated |
As the event pages on onemodel.co state them, read September 28, 2026.
Every page onemodel.co 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. An event counts as online when its address or title says so (webinar, on demand, virtual or online summit); a conference, summit, trade show, expo or roadshow that does not say so is counted as a conference or event, which on a vendor's site is mostly in person. Read September 29, 2026.
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 One Model's own pages state, read September 28, 2026: onemodel.co, onemodel.co/pricing, onemodel.co/security, onemodel.co/products/one-ai, onemodel.co/integrations. 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 One Model'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 One Model, 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 One Model by email, built from the raw record of the edition. It shows: