| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Candidate assessment | Talent acquisition | 4% | 3 of 118 | 0% | 8 | under 10 labels · led by TestGorilla at 52% | ▲+2Since September 2026: 2% → 5%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked. |
| Skills intelligence | Performance and talent management | 0% | 85 of 127 | 0% | 1 | under 10 labels · led by Skills Base at 18% | newNew since September 2026: not ranked then, 0% now. |
| Technical hiring assessments | Talent acquisition | 0% | 61 of 71 | 0% | 1 | under 10 labels · led by HackerRank at 17% | newNew since September 2026: not ranked then, 0% now. |
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Candidate assessment | 2% | 5% | ▲+2Since September 2026: 2% → 5%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 8 → 3 of 118 |
| Skills intelligence | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 85 of 127, unchanged |
| Technical hiring assessm | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 61 of 71, 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 | 1 | 0 | 0 | 1 |
| GPT-5.4 mini | 0 | 0 | 0 | 0 | 0 |
| Gemini 3.5 Flash | 0 | 1 | 0 | 0 | 1 |
| Perplexity Sonar | 0 | 0 | 0 | 0 | 0 |
| Grok 4.1 Fast | 0 | 1 | 0 | 0 | 1 |
| Mistral Small | 1 | 0 | 0 | 0 | 1 |
| DeepSeek V4 Flash | 0 | 1 | 0 | 0 | 1 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 0 | 0 | 0 | 0 |
| Kimi K2 | 0 | 0 | 1 | 0 | 1 |
| GLM 4.7 FlashX | 0 | 1 | 0 | 0 | 1 |
| MiniMax M2.5 | 1 | 1 | 1 | 0 | 3 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 0 | 0 | 0 | 0 | 0 |
Verbatim evidence the judge attached to positive labels.
“Toggl Hire and Evalart often stand out due to their balance of features and pricing” MiniMax M2.5 · Candidate assessment · direct prompt · first choice
“Transparent pricing, no hidden fees, and a free plan make it ideal for tight budgets.” Mistral Small · Candidate assessment · budget prompt · first choice
“If you only hire a few times a year, Toggl Hire's micro-packages are incredibly cheap.” Gemini 3.5 Flash · Candidate assessment · budget prompt · alternative
“If you hire regularly: Toggl Hire or TestGorilla (affordable unlimited plans)” MiniMax M2.5 · Candidate assessment · budget 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.
Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 38 of the 38 answers that named Toggl Hire and are not a share of its labels.
148 of the 148 domain citations in answers naming Toggl Hire 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 Toggl Hire's own pages state, read September 28, 2026: toggl.com, toggl.com/pricing, toggl.com/product/toggl-sso, toggl.com/customers, toggl.com/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 Toggl Hire'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 Toggl Hire, 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 Toggl Hire by email, built from the raw record of the edition. It shows:
Toggl Hire is among the products AI models recommend first in Candidate assessment this edition. Each badge says so in the buyer's words, names the edition, and links to the standing. The next edition issues a new badge; this one stays true as a record of October 2026.
Badges read on light and dark pages. Alt text carries the claim, the category, the edition and the index, so it stays a citation where the image does not load.