| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Job advertising and distribution | Talent acquisition | 2% | 17 of 111 | 0% | 1 | under 10 labels · led by JobTarget at 23% | ▲+2Since September 2026: 0% → 2%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked. |
| Recruitment marketing and career sites | Talent acquisition | 0% | 98 of 104 | 50% | 8 | under 10 labels · led by Teamtailor at 23% | ▼−2Since September 2026: 2% → 0%, −2 points. Inside the 13-point floor: within noise. Read over the models both editions asked. |
| Skills intelligence | Performance and talent management | 0% | 77 of 127 | 0% | 1 | under 10 labels · led by Skills Base at 18% | newNew since September 2026: not ranked then, 0% now. |
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Job advertising | 0% | 2% | ▲+2Since September 2026: 0% → 2%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 64 → 17 of 111 |
| Recruitment marketing | 2% | 0% | ▼−2Since September 2026: 2% → 0%, −2 points. Inside the 13-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 14 → 98 of 104 |
| Skills intelligence | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 77 of 127, 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 | 0 | 0 | 1 | 1 |
| Gemini 3.5 Flash | 0 | 0 | 0 | 0 | 0 |
| Perplexity Sonar | 0 | 0 | 0 | 0 | 0 |
| Grok 4.1 Fast | 0 | 0 | 0 | 0 | 0 |
| Mistral Small | 0 | 1 | 0 | 0 | 1 |
| DeepSeek V4 Flash | 0 | 0 | 1 | 1 | 2 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 0 | 0 | 0 | 0 |
| Kimi K2 | 0 | 0 | 0 | 1 | 1 |
| GLM 4.7 FlashX | 0 | 0 | 0 | 1 | 1 |
| MiniMax M2.5 | 1 | 0 | 1 | 0 | 2 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 0 | 0 | 1 | 0 | 1 |
Verbatim evidence the judge attached to positive labels.
“I'd recommend starting with Appcast or LinkedIn” MiniMax M2.5 · Job advertising · direct prompt · first choice
“combining free tools like a LinkedIn page, Canva for design, Buffer for scheduling, and Google Analytics” Mistral Small · Recruitment marketing · 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.
“• Expensive, especially for small companies<br>• Complex setup process<br>• High advertising costs” GLM 4.7 FlashX · Recruitment marketing · negative prompt · soft negative
“reviews frequently note high cost, which makes it harder to justify for smaller companies” GPT-5.4 mini · Recruitment marketing · budget prompt · soft negative
“Very expensive — particularly a pain point for small companies due to high advertising costs” DeepSeek V4 Flash · Recruitment marketing · negative prompt · soft negative
“Expensive, particularly for small-to-mid-sized companies... hard to justify the ROI” Kimi K2 · Recruitment marketing · 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 41 of the 43 answers that named LinkedIn Talent Solutions and are not a share of its labels.
154 of the 154 domain citations in answers naming LinkedIn Talent Solutions 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.
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 LinkedIn Talent Solutions'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 LinkedIn Talent Solutions, 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 LinkedIn Talent Solutions by email, built from the raw record of the edition. It shows: