| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Talent intelligence | Performance and talent management | 8% | 4 of 90 | 54% | 59 | criticized challenger | ▼−3Since September 2026: 12% → 9%, −3 points. Inside the 13-point floor: within noise. Read over the models both editions asked. |
| Internal talent marketplace | Performance and talent management | 2% | 14 of 102 | 47% | 38 | criticized challenger | ▲+2Since September 2026: 0% → 2%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked. |
| AI recruiting assistants | Talent acquisition | 2% | 14 of 90 | 38% | 26 | criticized challenger | ▲+2Since September 2026: 0% → 2%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked. |
| Skills intelligence | Performance and talent management | 2% | 23 of 127 | 55% | 31 | criticized challenger | ▼−2Since September 2026: 4% → 2%, −2 points. Inside the 13-point floor: within noise. Read over the models both editions asked. |
| HR AI assistants | Onboarding and employee experience | 0% | 136 of 142 | 56% | 9 | under 10 labels · led by MeBeBot at 21% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked. |
| People analytics | Workforce planning and analytics | 0% | 64 of 114 | 25% | 4 | under 10 labels · led by Crunchr at 22% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked. |
| Recruiting CRM and sourcing | Talent acquisition | 0% | 27 of 111 | 0% | 3 | under 10 labels · led by Gem at 15% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked. |
| Recruitment marketing and career sites | Talent acquisition | 0% | 30 of 104 | 0% | 3 | under 10 labels · led by Teamtailor at 23% | newNew since September 2026: not ranked then, 0% now. |
| Succession planning | Performance and talent management | 0% | 37 of 93 | 0% | 2 | under 10 labels · led by Lattice at 28% | =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% | 64 of 118 | 0% | 1 | under 10 labels · led by TestGorilla at 52% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked. |
| HR compliance and policy management | Core HR and payroll | 0% | 84 of 97 | 100% | 1 | under 10 labels · led by Rippling at 19% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked. |
| HR help desk and case management | Onboarding and employee experience | 0% | 99 of 108 | 100% | 1 | under 10 labels · led by Zoho Desk at 19% | newNew since September 2026: not ranked then, 0% now. |
| Video interviewing | Talent acquisition | 0% | 61 of 66 | 100% | 1 | under 10 labels · led by Spark Hire at 50% | newNew since September 2026: not ranked then, 0% now. |
| Workforce planning | Workforce planning and analytics | 0% | 65 of 98 | 0% | 1 | under 10 labels · led by ChartHop at 37% | =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 |
|---|---|---|---|---|---|
| Talent intelligence | 12% | 9% | ▼−3Since September 2026: 12% → 9%, −3 points. Inside the 13-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 4 of 90, unchanged |
| Internal talent marketpl | 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 124 → 14 of 102 |
| AI recruiting assistants | 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 83 → 14 of 90 |
| Skills intelligence | 4% | 2% | ▼−2Since September 2026: 4% → 2%, −2 points. Inside the 13-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 8 → 23 of 127 |
| HR AI assistants | 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 108 → 136 of 142 |
| 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 94 → 64 of 114 |
| Recruiting CRM | 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 30 → 27 of 111 |
| Recruitment marketing | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 30 of 104, unchanged |
| Succession planning | 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 29 → 37 of 93 |
| Candidate assessment | 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 83 → 64 of 118 |
| HR compliance | 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 75 → 84 of 97 |
| HR help desk | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 99 of 108, unchanged |
| Video interviewing | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 61 of 66, unchanged |
| Workforce planning | 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 81 → 65 of 98 |
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 | 1 | 3 | 3 | 0 | 7 |
| GPT-5.4 mini | 2 | 3 | 2 | 0 | 7 |
| Gemini 3.5 Flash | 2 | 2 | 0 | 21 | 25 |
| Perplexity Sonar | 2 | 3 | 2 | 3 | 10 |
| Grok 4.1 Fast | 2 | 2 | 2 | 10 | 16 |
| Mistral Small | 3 | 2 | 10 | 3 | 18 |
| DeepSeek V4 Flash | 1 | 2 | 2 | 12 | 17 |
| Llama 4 Maverick | 0 | 1 | 5 | 1 | 7 |
| Qwen 3.7 Flash | 4 | 8 | 1 | 7 | 20 |
| Kimi K2 | 1 | 1 | 1 | 11 | 14 |
| GLM 4.7 FlashX | 0 | 3 | 1 | 5 | 9 |
| MiniMax M2.5 | 0 | 2 | 3 | 5 | 10 |
| GPT-6 Luna | 0 | 2 | 1 | 2 | 5 |
| Muse Glimmer 30B | 3 | 2 | 4 | 6 | 15 |
Verbatim evidence the judge attached to positive labels.
“Eightfold AI — The Enterprise Heavyweight ... Best for: Large enterprises needing end-to-end talent intelligence across acquisition, internal mobility, and workforce planning.” DeepSeek V4 Flash · Talent intelligence · comparative prompt · first choice
“Primary Focus: Enterprise Skills Intelligence & Full-Lifecycle Matching... Extreme AI scale... Note: Implementation is highly complex, expensive” Gemini 3.5 Flash · Talent intelligence · comparative prompt · first choice
“I'd generally recommend Eightfold AI if your top priority is a single platform that combines external hiring + internal mobility” GPT-5.4 mini · Talent intelligence · paraphrase prompt · first choice
“Fuel50 and Eightfold tend to be the most commonly recommended options due to their scalability and mid-market-friendly approach” Claude Haiku 4.5 · Internal talent marketpl · direct prompt · first choice
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.
“"Eightfold AI (Extreme Caution on 'Match Scores')… class-action lawsuit… acts as a 'consumer reporting agency' under the Fair Credit Reporting Act"... "Avoid for your size: Eightfold/Phenom/Gloat"” Muse Glimmer 30B · Talent intelligence · negative prompt · hard negative
“This is currently the most notable case. In January 2026, a class-action lawsuit (*Kistler v. Eightfold AI*) was filed in California alleging violations of the Fair Credit Reporting Act (FCRA).” MiniMax M2.5 · Talent intelligence · negative prompt · hard negative
“you should generally avoid the following enterprise-native TIPs... Eightfold AI: ... high total cost of ownership (TCO) and long, intensive implementation timelines.” Gemini 3.5 Flash · Talent intelligence · direct prompt · hard negative
“requires avoiding massive enterprise suites like Eightfold.ai, Phenom, or Beamery, which easily scale into five- or six-figure annual commitments” Gemini 3.5 Flash · Talent intelligence · budget 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 540 of the 567 answers that named Eightfold AI and are not a share of its labels.
1,389 of the 1,389 domain citations in answers naming Eightfold AI 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 Eightfold AI's own pages state, read September 28, 2026: eightfold.ai/eightfold-ai-for-slack, eightfold.ai/content-eightfold-ai-home, eightfold.ai/nyc-eightfold-matching-model, eightfold.ai/eightfold-ai-for-microsoft-teams, community.eightfold.ai/eightfold-change-management-56. 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 Eightfold AI'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 Eightfold AI, 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 Eightfold AI by email, built from the raw record of the edition. It shows: