Index › HR › Performance and talent management › Talent intelligence › Enterprise · September 2026 Edition
Talent intelligence for enterprise buyers
Asked as “talent intelligence platform”, and as “AI talent platform for hiring and mobility”, on behalf of an enterprise B2B company. 40 first choices recorded across the direct, paraphrase, budget and scale prompts, twelve models each.
Standing · first-choice share
72%
Clear leader
72Eightfold AI05SeekOut Recruit02365Talents20others
72% of first choices, clear leader.
By buyer segment
The same question asked on behalf of a different buyer. Each standing is computed within its segment; they sit side by side and are never added together.
The standing
Share is the count of first choices across the direct, paraphrase, budget and scale prompts, over all twelve models, for an enterprise B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrant
Bars are the share of first choices, 0 to 100Every product with at least 10 labels here. Every product name links to its product page.
Head to headHead-to-head pages are published for mid-market buyers, so these open on mid-market figures, not enterprise.
All twenty-eight head-to-head pages: the top eight products, each against each
Pin vs hireEZPin vs MetaviewPin vs SeekOut RecruitPin vs LoxoGem vs Lessie AIGem vs Eightfold AIGem vs hireEZGem vs MetaviewGem vs SeekOut RecruitGem vs LoxoLessie AI vs Eightfold AILessie AI vs hireEZLessie AI vs MetaviewLessie AI vs SeekOut RecruitLessie AI vs LoxoEightfold AI vs hireEZEightfold AI vs MetaviewEightfold AI vs SeekOut RecruitEightfold AI vs LoxohireEZ vs MetaviewhireEZ vs SeekOut RecruithireEZ vs LoxoMetaview vs SeekOut RecruitMetaview vs LoxoSeekOut Recruit vs Loxo
One product takes 72% of first choices here, so the chart would put ten markers in one corner and one at the far edge. The two measurements it plots are columns in the standing above: share, and the negative label rate. Three products carry a negative rate above 25% in this category.
What they warned about
Ten of twelve models held their first choice under the paraphrase. GPT-5.4 mini and Mistral Small changed. A high negative share on a product with few labels is a warning. A low share on a product with many labels is salience, not sentiment.
Beamery28%
10 of 36 labels negative · 6 of 12 models · 2 hard negative
“Beamery\u2014while widely respected ... has faced criticisms from some enterprise users regarding past support bottlenecks, API limitations, and corporate downsizing” Gemini 3.5 Flash, negative prompt
SeekOut Recruit
18%
6 of 33 labels negative · 6 of 12 models
“If you use seat-based platforms like LinkedIn Recruiter or SeekOut, trying to scale access to thousands of users can quickly drive licensing costs into millions of dollars.” Gemini 3.5 Flash, budget prompt
Eightfold AI11%
6 of 55 labels negative · 5 of 12 models · 3 hard negative
“a groundbreaking proposed class-action lawsuit was filed against Eightfold AI. The suit alleges that Eightfold's AI-generated suitability scores ... violate the Fair Credit Reporting Act” Gemini 3.5 Flash, negative prompt
Phenom25%
9 of 36 labels negative · 5 of 12 models · 1 hard negative
“Avoid Phenom if you want internal mobility or predictive analytics—you will get a great career site, not intelligence.” DeepSeek V4 Flash, negative prompt
What they cite
Twelve of the twelve models returned a source list in this edition: four return the pages they cited and eight the search results they consulted.
Sites the answers cite
67 of 72 answers in this category came back with a source list, from 12 of 12 models: citations where the model returns them, or the search results it consulted. 963 links across 246 sites, every framing counted. Ranked by the number of answers carrying the site or page.
vendor site · Pin40 answers · 66 citations · 11 models
vendor site · Metaview32 answers · 33 citations · 11 models
vendor site · Guideflow31 answers · 32 citations · 10 models
26 answers · 26 citations · 11 models
24 answers · 37 citations · 8 models
vendor site · G223 answers · 38 citations · 12 models
23 answers · 25 citations · 9 models
22 answers · 22 citations · 10 models
vendor site · G222 answers · 22 citations · 9 models
vendor site · Eightfold20 answers · 32 citations · 10 models
vendor site · Wrangle18 answers · 18 citations · 10 models
17 answers · 34 citations · 8 models
Pages the answers cite
The ten pages named in the most answers, by full address. A page here is one the models returned with a recommendation, not one the index endorses.
34 answers · 11 models
32 answers · 11 models
28 answers · 10 models
26 answers · 11 models
23 answers · 9 models
23 answers · 8 models
22 answers · 10 models
22 answers · 9 models
18 answers · 10 models
17 answers · 8 models
Search against answers
Each company's standing in the answers beside its site's footprint in Google search, one row a site: the products the models named on it with their shares, and the share they add up to; monthly searches on Google, and DataForSEO's estimate of AI search demand (modeled from search signals, directional, not a count of queries to any assistant), for the most-searched of the company's and its products' names (the name is in each row's hover text); estimated monthly organic visits to the site; and its best position in Google's top ten for “best talent intelligence platform”, “talent intelligence platform”, “talent intelligence platforms”. US estimates from DataForSEO and Google's Ads Transparency Center. A small company's site, or a mid-sized company's site for its flagship, is marked company; a product on a large parent's site (Google, Microsoft) has no site figures. A column with no figures for this category is left out, and an empty cell means none were seen, not none exist. Two measurements side by side: neither is read as the cause of the other.
| Company and products | Share | Own site cited | Name searches, Google | AI search demand, est. | Organic visits | Google ads, last 30 days | Best Google position |
|---|---|---|---|---|---|---|---|
| Eightfold eightfold.ai Eightfold AI 72% | 72% | 520 | 4,400 | 187 | 53,360 company | 17 | 1 |
| LinkedIn parent site LinkedIn Talent Insights 2%, LinkedIn Talent Insights / LinkedIn Recruiter enterprise 2%, LinkedIn Talent Solutions 2% | 8% | 69 | 11,100,000 | 77,031 | |||
| SeekOut Recruit seekout.com | 5% | 121 | 5,796 | 1 | 9 | ||
| Gloat gloat.com | 2% | 287 | 27,100 | 359 | 22,734 | 0 | |
| Phenom phenom.com | 2% | 331 | 18,100 | 2,229 | 24,487 | 0 | |
| 365Talents 365talents.com | 2% | 100 | 90 | 1 | 2,859 | 25 | |
| Workday parent site Workday Skills Cloud 2% | 2% | 97 | 1,220,000 | 23,848 | |||
| Fuel50 fuel50.com | 2% | 170 | 480 | 0 | 11,009 | 6 | |
| Talent IQ talent-iq.com | 2% | ||||||
| Beamery beamery.com | 0% | 262 | 1,000 | 21 | 12,866 | 0 |
Google's top ten for the three searches hold 17 sites; 3 of them are among the sites the models cited here (eightfold.ai, metaview.ai, pin.com). The first result for “best talent intelligence platform” is rollingarrays.com.
How they answered
Six framings of the same buying question, each sent to every model in a fresh session with search on. One row per model, so a row shows whether it held its answer under rewording, what it named when cost was the constraint, and what it argued against. Computed from the raw judge labels.ShowHide
How they answered
Six framings of the same buying question, each sent to every model in a fresh session with search on. One row per model, so a row shows whether it held its answer under rewording, what it named when cost was the constraint, and what it argued against. Computed from the raw judge labels.
ShowHideModelDirect“What is the best talent intelligence platform for an enterprise B2B company?”Paraphrase“Which AI talent platform for hiring and mobility would you recommend to a large B2B company with thousands of employees?”Comparative“What are the top enterprise-grade talent intelligence platforms and how do they differ?”Budget-constrained“What is the best talent intelligence platform for a large company that needs predictable total cost across thousands of users?”Scale-constrained“We are a 5,000 person company with SSO, SOC 2 and procurement review requirements evaluating a talent intelligence platform. What should we look at?”Negative“Which talent intelligence platforms should a large enterprise avoid or be cautious about?”
Claude Haiku 4.5Eightfold AIagainst: iCIMS Talent CloudEightfold AIHeldEightfold AIEightfold AIno first choicenothing named
Two alternatives
Beamery, PhenomTwo alternatives
Gloat, PhenomFour alternatives
Beamery, Gloat, Phenom, SeekOut RecruitOne alternative
DayforceGPT-5.4 miniLinkedIn Talent InsightsEightfold AIChangedEightfold AILinkedIn Talent Insights / LinkedIn Recruiter enterpriseagainst: SeekOut Recruitno first choicenothing named
Four alternatives
365Talents, HiredScore, Phenom, SeekOut RecruitTwo alternatives
Fuel50, Workday Skills CloudThree alternatives
Beamery, Oracle HCM Cloud, PhenomOne alternative
Eightfold AIGemini 3.5 FlashEightfold AIEightfold AIHeldagainst: Workday Skills CloudEightfold AIagainst: SAP SuccessFactors, Workday Skills CloudEightfold AIagainst: LinkedIn Recruiter, SeekOut Recruitno first choiceagainst: Beamery, Eightfold AI
Three alternatives
Findem, Phenom, SeekOut RecruitThree alternatives
Beamery, Gloat, PhenomFive alternatives
Beamery, Findem, Gloat, Phenom, SeekOut RecruitThree alternatives
Beamery, Findem, GloatPerplexity SonarEightfold AIEightfold AIHeldagainst: Pin, SeekOut RecruitEightfold AIagainst: PhenomEightfold AI, SeekOut Recruitno first choiceagainst: Gloat, Phenom, Workday Skills Cloud, iCIMS Talent Cloud
Six alternatives
Beamery, Draup, Lightcast, LinkedIn Talent Insights, SeekOut Recruit, TalentNeuronOne alternative
Workday Talent AcquisitionFive alternatives
Beamery, Gloat, Lightcast, LinkedIn Talent Insights, SeekOut RecruitOne alternative
GloatGrok 4.20Eightfold AIEightfold AIHeldEightfold AISeekOut Recruitagainst: Beamery, LinkedIn Recruiter, Loxo, Phenom, Pin, hireEZ, iCIMS Talent Cloudno first choiceagainst: Beamery, Gloat, Greenhouse, Infor Talent Science, Oracle Taleo, Paradox, Phenom, Pin, SAP SuccessFactors, Skills Cloud, Talentsconnect, Visier, Workday Talent, iCIMS Talent Cloud
Two alternatives
Beamery, GloatOne alternative
GloatFour alternatives
Beamery, Gloat, Phenom, SeekOut RecruitOne alternative
Eightfold AIMistral SmallEightfold AI365Talents, Eightfold AI, Fuel50, GloatChangedEightfold AITalent IQno first choiceagainst: Draup, Eightfold AI, ZoomInfo Talent
Two alternatives
Gloat, SeekOut RecruitTwo alternatives
Beamery, PhenomSeven alternatives
365Talents, Beamery, Findem, Gem, Gloat, Lightcast, SeekOut RecruitDeepSeek V4 FlashEightfold AIEightfold AIHeldEightfold AIEightfold AIagainst: Beamery, Phenom, SeekOut Recruitno first choiceagainst: Beamery, Draup, Eightfold AI, Fuel50, Gloat, Phenom, Visier
Three alternatives
Gloat, Lightcast, SeekOut RecruitSix alternatives
365Talents, Beamery, Gloat, Phenom, SAP SuccessFactors, Workday Skills CloudFive alternatives
Beamery, Fuel50, Gloat, Phenom, SeekOut RecruitOne alternative
LoxoLlama 4 MaverickEightfold AIEightfold AIHeldno first choiceno first choiceno first choicenothing named
Three alternatives
Braintrust, Peoplebox.ai, PhenomQwen 3.7 FlashEightfold AIEightfold AIHeldEightfold AILinkedIn Talent Solutionsagainst: LinkedIn Recruiterno first choiceagainst: Visier
Three alternatives
Gem, SeekOut Recruit, hireEZTwo alternatives
Gloat, Workday Skills CloudFive alternatives
Beamery, Gloat, Lightcast, Phenom, SeekOut RecruitThree alternatives
Eightfold AI, Phenom, iCIMS Talent CloudKimi K2Eightfold AIEightfold AIHeldEightfold AIPhenomagainst: Beamery, LinkedIn Talent Insightsno first choiceagainst: Beamery, Eightfold AI, Fuel50, HireVue, SeekOut Recruit, Visier
Three alternatives
Beamery, SeekOut Recruit, hireEZTwo alternatives
Fuel50, GloatFour alternatives
Beamery, Findem, Gloat, PhenomOne alternative
Eightfold AIGLM 4.7 FlashXEightfold AIEightfold AIHeldEightfold AIEightfold AIno first choiceagainst: Beamery, Crunchr, Fuel50, Infor Talent Science, Phenom, Talent Intelligence Lab, iCIMS Talent Cloud
Five alternatives
Beamery, Findem, Gem, Lightcast, SeekOut RecruitFive alternatives
Fuel50, Gloat, Phenom, SAP SuccessFactors Career & Talent Development, Workday Skills CloudFour alternatives
Beamery, Findem, Gloat, LightcastOne alternative
Workday Skills CloudMiniMax M2.5Eightfold AIEightfold AIHeldEightfold AIWorkday Skills Cloudagainst: Beamery, Eightfold AI, Phenom, RefAssured, SeekOut Recruit, iCIMS Talent CloudEightfold AIagainst: Beamery, Draup, Eightfold AI, Gloat, LinkedIn Talent Insights, Phenom, Workday Skills Cloud, iCIMS Talent Cloud
Four alternatives
365Talents, Gem, Loxo, hireEZThree alternatives
365Talents, Gloat, Workday Skills CloudThree alternatives
Beamery, Phenom, SeekOut RecruitTwo alternatives
Loxo, PinThree alternatives
Lattice, Phenom, SeekOut RecruitBold is the first choiceAlternatives are counted; the count opens them.What the answer argued against
The record
One row per call: the version string exactly as returned, whether the model searched, sources cited, and latency.
Seventy-two rows: every prompt, every model, every answer.
| Prompt | Model | Version string | Time (UTC) | Searched | Sources | Latency |
|---|---|---|---|---|---|---|
| Direct recommendation | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-09-17 18:35 | yes | 13 | 10 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-09-17 18:54 | yes | 2 | 6 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.5-flash | 2026-09-17 22:07 | yes | 12 | 59 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-09-17 20:12 | yes | 20 | 5 s |
| Direct recommendation | Grok 4.20 | spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version) | 2026-09-17 21:24 | yes | 37 | 16 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-09-17 20:26 | yes | 20 | 11 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via fireworks | 2026-09-17 21:39 | yes | 27 | 40 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-09-17 21:21 | yes | 5 | 3 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-09-17 19:23 | yes | 10 | 34 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-09-17 18:49 | yes | 10 | 29 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-09-17 19:45 | yes | 12 | 72 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-09-17 20:58 | yes | 5 | 14 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-09-17 18:14 | yes | 9 | 8 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-09-17 21:38 | yes | 3 | 4 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.5-flash | 2026-09-17 22:08 | yes | 15 | 57 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-09-17 19:29 | yes | 20 | 5 s |
| Paraphrase | Grok 4.20 | spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version) | 2026-09-17 20:26 | yes | 28 | 14 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-09-17 21:25 | yes | 5 | 4 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via fireworks | 2026-09-17 19:38 | yes | 13 | 15 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-09-17 19:29 | yes | 5 | 3 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-09-17 20:13 | yes | 10 | 41 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-09-17 19:07 | yes | 14 | 20 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-09-17 19:02 | yes | 14 | 21 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-09-17 19:34 | yes | 5 | 22 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-09-17 21:00 | yes | 13 | 9 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-09-17 19:26 | yes | 5 | 8 s |
| Comparative | Gemini 3.5 Flash | gemini-3.5-flash | 2026-09-17 19:36 | yes | 19 | 27 s |
| Comparative | Perplexity Sonar | sonar | 2026-09-17 20:37 | yes | 20 | 11 s |
| Comparative | Grok 4.20 | spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version) | 2026-09-17 21:19 | yes | 17 | 22 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-09-17 19:00 | yes | 10 | 10 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via fireworks | 2026-09-17 19:58 | yes | 20 | 20 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-09-17 21:15 | yes | 5 | 3 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-09-17 19:44 | yes | 9 | 23 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-09-17 17:54 | yes | 14 | 85 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-09-17 18:50 | yes | 11 | 40 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-09-17 18:16 | yes | 25 | 50 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-09-17 19:59 | yes | 14 | 10 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-09-17 18:28 | yes | 3 | 7 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-09-17 20:02 | yes | 22 | 35 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-09-17 19:05 | yes | 20 | 7 s |
| Budget constrained | Grok 4.20 | spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version) | 2026-09-17 19:27 | yes | 18 | 14 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-09-17 17:57 | yes | 5 | 4 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via fireworks | 2026-09-17 20:27 | yes | 24 | 42 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-09-17 20:00 | yes | 5 | 3 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-09-17 19:21 | yes | 5 | 18 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-09-17 18:32 | yes | 26 | 77 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-09-17 21:29 | yes | 23 | 74 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-09-17 21:12 | yes | 18 | 50 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-09-17 18:43 | no | 0 | 9 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-09-17 20:30 | no | 0 | 9 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-09-17 18:59 | no | 0 | 15 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-09-17 19:31 | yes | 20 | 10 s |
| Scale constrained | Grok 4.20 | spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version) | 2026-09-17 20:53 | yes | 18 | 13 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-09-17 21:35 | no | 0 | 9 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via fireworks | 2026-09-17 21:39 | yes | 17 | 28 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-09-17 20:27 | yes | 5 | 5 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-09-17 19:04 | no | 0 | 33 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-09-17 21:22 | yes | 19 | 67 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-09-17 21:35 | yes | 15 | 62 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-09-17 20:12 | yes | 5 | 17 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-09-17 21:14 | yes | 17 | 10 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-09-17 18:44 | yes | 7 | 7 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.5-flash | 2026-09-17 19:27 | yes | 22 | 27 s |
| Negative framing | Perplexity Sonar | sonar | 2026-09-17 21:06 | yes | 20 | 8 s |
| Negative framing | Grok 4.20 | spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version) | 2026-09-17 18:48 | yes | 24 | 18 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-09-17 20:52 | yes | 14 | 9 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-09-17 18:30 | yes | 25 | 69 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-09-17 20:13 | yes | 5 | 4 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-09-17 21:44 | yes | 9 | 34 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-09-17 20:35 | yes | 28 | 44 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-09-17 18:58 | yes | 18 | 212 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-09-17 20:25 | yes | 10 | 27 s |
Normalization in this category
Every judgment call made between the raw labels and the numbers above, listed so it is visible and reversible.
ShowHide
Category-scoped readings
Eightfold read as Eightfold AI
Noon read as Noon AI
Oracle read as Oracle HCM Cloud
SAP read as SAP SuccessFactors
SeekOut read as SeekOut Recruit
TalentIQ read as Talent IQ
Workday read as Workday Skills Cloud
Workday (Talent Intelligence) read as Workday Skills Cloud
Workday Skills Cloud/Talent Marketplace read as Workday Skills Cloud
Workday Talent Marketplace read as Workday Skills Cloud
ZoomInfo read as ZoomInfo Talent
iCIMS read as iCIMS Talent Cloud
Unresolved, counted raw
GoToInterview
Jobtalk.ai
Neuroscale/Arbi
RefAssured
Talent Intelligence Lab
Discontinued, still offered
No shut-down product was recommended here.