| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Technical hiring assessments | Talent acquisition | 0% | 16 of 71 | 20% | 10 | 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% | 69 of 118 | 0% | 1 | under 10 labels · led by TestGorilla at 52% | newNew since September 2026: not ranked then, 0% now. |
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Technical hiring assessm | 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 13 → 16 of 71 |
| Candidate assessment | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 69 of 118, 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 | 1 | 0 | 0 | 1 |
| Gemini 3.5 Flash | 0 | 1 | 0 | 2 | 3 |
| Perplexity Sonar | 0 | 0 | 0 | 0 | 0 |
| Grok 4.1 Fast | 0 | 0 | 0 | 0 | 0 |
| Mistral Small | 0 | 1 | 1 | 0 | 2 |
| DeepSeek V4 Flash | 0 | 2 | 0 | 0 | 2 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 0 | 1 | 0 | 1 |
| Kimi K2 | 0 | 0 | 0 | 0 | 0 |
| GLM 4.7 FlashX | 0 | 1 | 0 | 0 | 1 |
| MiniMax M2.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 0 | 0 | 0 | 0 | 0 |
Verbatim evidence the judge attached to positive labels.
“Choose Karat if you prefer an outsourced technical interview service and can afford higher costs.” GLM 4.7 FlashX · Technical hiring assessm · paraphrase prompt · alternative
“fully outsourced interviewing service rather than software, Karat is worth considering” GPT-5.4 mini · Technical hiring assessm · paraphrase prompt · alternative
“Recommended for experienced developers, especially for algorithmic LeetCode-style interviews” Mistral Small · Technical hiring assessm · negative prompt · alternative
“Consider Karat if: Your engineering team's bandwidth for interviewing is limited” DeepSeek V4 Flash · Technical hiring assessm · paraphrase 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.
“absorbed into Karat's high-cost, enterprise "Interviewing-as-a-Service" model” Gemini 3.5 Flash · Technical hiring assessm · direct prompt · soft negative
“Be Cautious of: Fully Outsourced Technical Screens (e.g., Karat)” Gemini 3.5 Flash · Technical hiring assessm · 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 23 of the 23 answers that named Karat and are not a share of its labels.
Seventy-eight of the seventy-eight domain citations in answers naming Karat 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 | 221 | 6 | 2026-09-17 | ||
| Case study | 8 | 0 | 2025-09-23 | ||
| Webinar or virtual event | 5 | 0 | 2024-11-06 | ||
| Glossary or explainer | 3 | 0 | 2023-01-24 | ||
| Conference or event | 1 | undated | |||
| Template or tool | 1 | 0 | 2024-09-25 |
Every page karat.com 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 Karat's own pages state, read September 28, 2026: karat.com, trust.karat.com, karat.com/solutions, karat.com/customer-stories, karat.com/blog/tag/partners. 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 Karat'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 Karat, 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 Karat by email, built from the raw record of the edition. It shows: