Talent intelligence
Asked as “talent intelligence platform”, and as “AI talent platform for hiring and mobility”, on behalf of a mid-market B2B company. 49 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
27%
Contested · Gem 14%
27Pin14Gem10hireEZ49others
27% of first choices, contested.
Since September 2026▲+11Since September 2026: 17% → 28%, +11 points. Inside the 13-point floor: within noise. Read over the models both editions asked.Pin held the lead, +11 points on 17%, inside the 13-point floor.
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.
Small business
Pin21%Contested▲+4Since September 2026: 18% → 22%, +4 points. Inside the 13-point floor: within noise. Read over the models both editions asked.Standing →Mid-marketPin27%Contested▲+11Since September 2026: 17% → 28%, +11 points. Inside the 13-point floor: within noise. Read over the models both editions asked.This pageEnterprise
Eightfold AI67%Clear leader▼−3Since September 2026: 72% → 70%, −3 points. Inside the 13-point floor: within noise. Read over the models both editions asked.Standing →
Pin21%Contested▲+4Since September 2026: 18% → 22%, +4 points. Inside the 13-point floor: within noise. Read over the models both editions asked.Standing →Mid-marketPin27%Contested▲+11Since September 2026: 17% → 28%, +11 points. Inside the 13-point floor: within noise. Read over the models both editions asked.This pageEnterpriseEightfold AI67%Clear leader▼−3Since September 2026: 72% → 70%, −3 points. Inside the 13-point floor: within noise. Read over the models both editions asked.Standing →The standing
Share is the count of first choices across the direct, paraphrase, budget and scale prompts, over all fourteen models, for a mid-market B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince September 2026
01Pin27%0%26accepted challenger▲+11Since September 2026: 17% → 28%, +11 points. Inside the 13-point floor: within noise. Read over the models both editions asked.17% → 28%
Pin27%0%26accepted challenger▲+11Since September 2026: 17% → 28%, +11 points. Inside the 13-point floor: within noise. Read over the models both editions asked.17% → 28%02
Gem14%8%24accepted challenger▲+2Since September 2026: 15% → 16%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.15% → 16%
Gem14%8%24accepted challenger▲+2Since September 2026: 15% → 16%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.15% → 16%03
hireEZ10%15%27accepted challenger▲+1Since September 2026: 8% → 9%, +1 point. Inside the 13-point floor: within noise. Read over the models both editions asked.8% → 9%
hireEZ10%15%27accepted challenger▲+1Since September 2026: 8% → 9%, +1 point. Inside the 13-point floor: within noise. Read over the models both editions asked.8% → 9%04Eightfold AI8%54%59criticized challenger▼−3Since September 2026: 12% → 9%, −3 points. Inside the 13-point floor: within noise. Read over the models both editions asked.12% → 9%
Eightfold AI8%54%59criticized challenger▼−3Since September 2026: 12% → 9%, −3 points. Inside the 13-point floor: within noise. Read over the models both editions asked.12% → 9%05
Fuel506%9%11accepted challenger▲+3Since September 2026: 4% → 7%, +3 points. Inside the 13-point floor: within noise. Read over the models both editions asked.4% → 7%
Fuel506%9%11accepted challenger▲+3Since September 2026: 4% → 7%, +3 points. Inside the 13-point floor: within noise. Read over the models both editions asked.4% → 7%06
Metaview4%0%16accepted challenger▼−2Since September 2026: 6% → 5%, −2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.6% → 5%
Metaview4%0%16accepted challenger▼−2Since September 2026: 6% → 5%, −2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.6% → 5%07
Phenom4%40%30criticized challenger=heldSince September 2026: 2% → 2%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 2%
Phenom4%40%30criticized challenger=heldSince September 2026: 2% → 2%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 2%08
SeekOut2%10%31accepted challenger▼−4Since September 2026: 6% → 2%, −4 points. Inside the 13-point floor: within noise. Read over the models both editions asked.6% → 2%
SeekOut2%10%31accepted challenger▼−4Since September 2026: 6% → 2%, −4 points. Inside the 13-point floor: within noise. Read over the models both editions asked.6% → 2%09
Findem2%8%13accepted challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 2%
Findem2%8%13accepted challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 2%10
Beamery2%48%33criticized challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 2%
Beamery2%48%33criticized challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 2%Show the three products at 0%, ordered by negative rate
13
Workday Skills Cloud0%60%15criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 0%
Workday Skills Cloud0%60%15criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 0%12
Gloat0%42%33criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 0%
Gloat0%42%33criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 0%11
LinkedIn Talent Insights0%27%11criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 0%
LinkedIn Talent Insights0%27%11criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 0%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
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 head
All twenty-eight head-to-head pages: the top eight products, each against each
Pin vs Fuel50Pin vs MetaviewPin vs PhenomPin vs SeekOutGem vs hireEZGem vs Eightfold AIGem vs Fuel50Gem vs MetaviewGem vs PhenomGem vs SeekOuthireEZ vs Eightfold AIhireEZ vs Fuel50hireEZ vs MetaviewhireEZ vs PhenomhireEZ vs SeekOutEightfold AI vs Fuel50Eightfold AI vs MetaviewEightfold AI vs PhenomEightfold AI vs SeekOutFuel50 vs MetaviewFuel50 vs PhenomFuel50 vs SeekOutMetaview vs PhenomMetaview vs SeekOutPhenom vs SeekOut
Recommended versus criticized
Every product with at least 10 labels here, on both axes. The 30% line names a quadrant, not the verdict above: that one needs more than 40%.
Criticized challengerCriticized default
Negative label rate →
01020304050607080910111213Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative40%
Key
01Pin27%
Pin27%02Gem14%
Gem14%03hireEZ10%
hireEZ10%04Eightfold AI8%
Eightfold AI8%05Fuel506%
Fuel506%06Metaview4%
Metaview4%07Phenom4%
Phenom4%08SeekOut2%
SeekOut2%09Findem2%
Findem2%10Beamery2%
Beamery2%11LinkedIn Talent Insights0%
LinkedIn Talent Insights0%12Gloat0%
Gloat0%13Workday Skills Cloud0%
Workday Skills Cloud0%What they warned about
One of fourteen models held their first choice under the paraphrase. Claude Haiku 4.5, GPT-5.4 mini, Gemini 3.5 Flash, Perplexity Sonar, Grok 4.1 Fast, Mistral Small, DeepSeek V4 Flash, Qwen 3.7 Flash, Kimi K2, GLM 4.7 FlashX, MiniMax M2.5, GPT-6 Luna and Muse Glimmer 30B 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.
Eightfold AI54%
32 of 59 labels negative · 12 of 14 models · 11 hard negative
“"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, negative prompt
Gloat42%
14 of 33 labels negative · 9 of 14 models · 6 hard negative
“you should generally avoid the following enterprise-native TIPs... Gloat or Workday Skills Cloud: Best suited for internal workforce planning” Gemini 3.5 Flash, direct prompt
Beamery48%
16 of 33 labels negative · 8 of 14 models · 4 hard negative
“Enterprise tools like Eightfold or Beamery are pricier ($10K+/year) and overkill for budgets.” Grok 4.1 Fast, budget prompt
Phenom40%
12 of 30 labels negative · 7 of 14 models · 4 hard negative
“Avoid for your size: Eightfold/Phenom/Gloat—enterprise-heavy, pricey ($100K+)” Muse Glimmer 30B, negative prompt
What they cite
Citations exist only for the models that return a source list: fourteen of the fourteen in this edition, and all six flagship models on the expanded tier.
Sites the answers cite
77 of 84 answers in this category came back with a source list, from 14 of 14 models: citations where the model returns them, or the search results it consulted. 1112 links across 268 sites, every framing counted. Ranked by the number of answers carrying the site or page. 41 of the 252 answers across every segment cited this index's own page for the category; the method page measures whether that reading tilts an answer.
vendor site · Pin50 answers · 106 citations · 13 models
vendor site · Skima38 answers · 45 citations · 11 models
vendor site · G235 answers · 35 citations · 12 models
vendor site · G233 answers · 56 citations · 13 models
vendor site · Guideflow33 answers · 35 citations · 11 models
vendor site · Metaview29 answers · 39 citations · 11 models
26 answers · 37 citations · 10 models
vendor site · Xobin25 answers · 25 citations · 11 models
20 answers · 20 citations · 11 models
vendor site · Sapia.ai20 answers · 20 citations · 10 models
vendor site · LinkedIn18 answers · 23 citations · 9 models
17 answers · 17 citations · 11 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.
35 answers · 11 models
34 answers · 12 models
34 answers · 11 models
32 answers · 11 models
28 answers · 9 models
25 answers · 11 models
24 answers · 10 models
20 answers · 11 models
18 answers · 10 models
16 answers · 10 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 | Paid search a month, est. | Google ads, last 30 days | Best Google position |
|---|---|---|---|---|---|---|---|---|
| Pin pin.com | 27% | 199 | 368,000 | 243,385 | 24,375 | 28 | 4 | |
| Gem gem.com | 14% | 209 | 246,000 | 225,116 | 16,291 | 10 | ||
| hireEZ hireez.com | 10% | 185 | 2,400 | 43 | 3,058 | 35 | 7 | |
| Eightfold eightfold.ai Eightfold AI 8% | 8% | 540 | 4,400 | 187 | 53,360 company | 17 | 1 | |
| Fuel50 fuel50.com | 6% | 200 | 480 | 0 | 11,009 | 6 | ||
| Manatal manatal.com | 6% | 294 | 2,400 | 267 | 73,150 | 120 | ||
| Metaview metaview.ai | 4% | 66 | 9,900 | 49 | 39,923 | $9,200 | 55 | 1 |
| Phenom phenom.com | 4% | 288 | 18,100 | 2,229 | 24,487 | 0 | ||
| SeekOut seekout.com SeekOut 2%, SeekOut Recruit 2% | 4% | 205 | 6,600 | 52 | 5,796 | 1 | 9 | |
| Findem findem.ai | 2% | 50 | 1,600 | 32 | 2,112 | 2 | 7 |
Google's top ten for the three searches hold 17 sites; 3 of them are among the sites the models cited here (linkedin.com, 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 a mid-market B2B company?”Paraphrase“Which AI talent platform for hiring and mobility would you recommend to a mid-sized B2B company?”Comparative“What are the top talent intelligence platforms and how do they differ?”Budget-constrained“What is the best talent intelligence platform for a company with a limited budget?”Scale-constrained“We are a 500 person company evaluating a talent intelligence platform. What should we look at?”Negative“Which talent intelligence platforms should I avoid or be cautious about?”
Claude Haiku 4.5Arya, Pinno first choiceChangedno first choiceManatal, Pinno first choiceagainst: Arya, Beamery, Gem, Gloat, LinkedIn Talent Insights, Retrain.ai
Three alternatives
Engagedly, Lattice, iCIMS Talent CloudTwo alternatives
Juicebox, LoxoGPT-5.4 mini365TalentsEightfold AIChangedEightfold AI, PhenomPinagainst: hireEZno first choicenothing named
Three alternatives
Fuel50, Phenom, SeekOutOne alternative
Workday Skills CloudFive alternatives
365Talents, Fuel50, LinkedIn Talent Insights, SeekOut, hireEZTwo alternatives
SeekOut, TalentRankGemini 3.5 FlashGemagainst: Eightfold AI, Gloat, Phenom, Workday Skills CloudBeameryChangedagainst: Eightfold AI, Gloat, Phenom, Workday Skills CloudEightfold AIPinagainst: Beamery, Eightfold AI, LinkedIn Recruiter, PhenomFindemagainst: Eightfold AI, Gloat, LinkedIn Recruiteragainst: Beamery, Eightfold AI, Gloat, Google's Internal HR Systems, HireVue, Phenom, Workday Skills Cloud, iCIMS Talent Cloud
Three alternatives
Findem, SeekOut, hireEZFour alternatives
365Talents, Docebo, TalentGuard, hireEZSix alternatives
Beamery, Gloat, Metaview, Phenom, Reejig, SeekOutThree alternatives
Loxo, Metaview, SeekOutFour alternatives
Gem, Metaview, Sapia.ai, SeekOutPerplexity SonarPinEightfold AIChangedEightfold AIPinagainst: Gemno first choiceagainst: Beamery, ChartHop, Eightfold AI, Gloat, Phenom, SAP SuccessFactors, Visier, Workday Skills Cloud, iCIMS Talent Cloud
Five alternatives
Eightfold AI, Gem, Lightcast, SeekOut, hireEZFive alternatives
365Talents, HiredScore, Phenom, Reejig, TalenteerTwelve alternatives
365Talents, Beamery, Draup, Findem, Gem, Gloat, Lightcast, LinkedIn Talent Insights, Metaview, Phenom, SeekOut, hireEZTwo alternatives
Arya, TapflowGrok 4.1 FastGem, hireEZagainst: Eightfold AIFuel50Changedagainst: Eightfold AI, GloatEightfold AILoxoagainst: Beamery, Eightfold AIGem, hireEZagainst: Beamery, Eightfold AIagainst: Beamery, Eightfold AI, HireVue, Paradox.ai, SeekOut
Three alternatives
Bryq, Phenom, SeekOutThree alternatives
Engagedly, Lever, Skima AISix alternatives
Beamery, Gem, Gloat, Pin, SeekOut, hireEZFour alternatives
Manatal, Metaview, Pin, Zoho RecruitThree alternatives
Metaview, Pin, SeekOutMistral SmallGemEightfold AIChangedEightfold AIGem, Pinno first choiceagainst: Beamery, Eightfold AI, Gloat, Phenom
Two alternatives
Eightfold AI, NeobrainTwo alternatives
365Talents, LeverSix alternatives
Beamery, Findem, Gloat, SAP SuccessFactors, SeekOut, Workday Skills CloudTwo alternatives
Juicebox, MetaviewDeepSeek V4 FlashGemagainst: Eightfold AIFuel50Changedagainst: Eightfold AI, Gloat, Manatal, WorkableEightfold AIagainst: LinkedIn Talent InsightsPinagainst: Eightfold AIno first choiceagainst: 365Talents, Eightfold AI, Fuel50, Infor Talent Science, Workday Talent Intelligence / Workday Skills Cloud
Three alternatives
Fuel50, Pin, hireEZOne alternative
BeamerySix alternatives
Beamery, Draup, Gloat, Lightcast, SeekOut, VisierTwo alternatives
Manatal, MetaviewLlama 4 Maverickno first choiceno first choiceHeldno first choicePinPinagainst: Eightfold AI, Gloat, Phenom
Two alternatives
Arya, Eightfold AIQwen 3.7 FlashEightfold AIagainst: SAP SuccessFactorsPhenomChangedagainst: Eightfold AIEightfold AIMetaview, Pinagainst: Beamery, Eightfold AI, Phenom, iCIMS Talent Cloudno first choiceagainst: SAP SuccessFactorsagainst: Eightfold AI, hireEZ
Four alternatives
Gem, RepVisor, SeekOut, ZoomInfo TalentOne alternative
BeameryFour alternatives
Beamery, Gloat, Pymetrics, VisierThree alternatives
Gem, Manatal, Zoho RecruitKimi K2SeekOutagainst: Beamery, Eightfold AI, Gloat, PhenomFuel50Changedagainst: Beamery, Eightfold AIEightfold AIManatalagainst: Beamery, Eightfold AI, hireEZno first choiceagainst: Beamery, Eightfold AI, Findem, Gloat, Phenom, SeekOut, hireEZ, iCIMS Talent Cloud
Two alternatives
Findem, GemOne alternative
GloatSeven alternatives
Beamery, Draup, Gloat, LinkedIn Talent Insights, Phenom, SeekOut, VisierFour alternatives
Gem, Loxo, Metaview, Zoho RecruitGLM 4.7 FlashXPinhireEZChangedno first choiceGemagainst: Bitrix24no first choiceagainst: Eightfold AI, Greenhouse, Infor Talent Science, LinkedIn, Talent Intelligence Lab ATS
Three alternatives
Eightfold AI, SeekOut, hireEZFour alternatives
Eightfold AI, Gloat, Skima AI, WorkableTwo alternatives
Manatal, RecruiteeMiniMax M2.5Metaview, hireEZLeverChangedagainst: Eightfold AIno first choiceManatalno first choiceagainst: Eightfold AI, HireVue, Pymetrics, Workday Skills Cloud
Two alternatives
Gem, SeekOutOne alternative
GreenhouseThree alternatives
Loxo, Pin, Zoho RecruitGPT-6 LunaSeekOut Recruitagainst: Eightfold AIPhenomChangedno first choiceJuiceboxagainst: Lightcastno first choiceagainst: Eightfold AI, Workday Skills Cloud
One alternative
LightcastOne alternative
GloatEight alternatives
Beamery, Eightfold AI, Findem, Gloat, Lightcast, LinkedIn Talent Insights, SeekOut, VisierTwo alternatives
O*NET, SeekOut Recruit CoreMuse Glimmer 30BhireEZEngagedlyChangedagainst: Beamery, Eightfold AI, Gloatno first choiceagainst: LinkedIn Talent InsightsPinagainst: Beamery, Eightfold AI, Phenom, SeekOutno first choiceagainst: Beamery, Eightfold AI, Gloat, Harver, HireVue, Phenom, Pymetrics, Workday Skills Cloud, iCIMS Talent Cloud
Two alternatives
Gem, SeekOutOne alternative
Fuel50Ten alternatives
Beamery, Draup, Eightfold AI, Findem, Gloat, Phenom, SeekOut, Visier Inc., Xobin, hireEZTwo alternatives
Lessie AI, MetaviewBold 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. Full answer text is in the free responses file. Download the record
Eighty-four 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 | 2026-10-01 10:33 | yes | 12 | 9 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 11:25 | yes | 2 | 5 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:09 | yes | 13 | 23 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-10-01 09:49 | yes | 16 | 5 s |
| Direct recommendation | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 09:08 | yes | 22 | 11 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 07:40 | yes | 17 | 10 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 11:16 | yes | 21 | 19 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 10:13 | yes | 5 | 2 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 09:31 | no | 0 | 32 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 11:44 | yes | 22 | 27 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 09:19 | yes | 25 | 20 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 08:40 | yes | 20 | 40 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-10-01 09:17 | yes | 3 | 18 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 11:38 | yes | 24 | 32 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 08:34 | no | 0 | 3 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 12:05 | yes | 3 | 6 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 10:38 | yes | 12 | 30 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-10-01 10:59 | yes | 20 | 3 s |
| Paraphrase | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 12:16 | yes | 23 | 8 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 09:39 | yes | 5 | 4 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 10:48 | yes | 22 | 31 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 07:36 | yes | 5 | 3 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 09:58 | yes | 15 | 80 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:07 | yes | 15 | 28 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:56 | yes | 17 | 14 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 09:08 | yes | 9 | 33 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-10-01 10:58 | yes | 2 | 17 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 09:16 | yes | 23 | 40 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 10:00 | yes | 12 | 8 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 08:41 | yes | 7 | 10 s |
| Comparative | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 12:19 | yes | 19 | 61 s |
| Comparative | Perplexity Sonar | sonar | 2026-10-01 10:48 | yes | 16 | 4 s |
| Comparative | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 12:16 | yes | 17 | 10 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:45 | yes | 10 | 9 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 11:36 | yes | 21 | 46 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 11:53 | yes | 5 | 2 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:29 | yes | 20 | 46 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:05 | yes | 17 | 33 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 11:57 | yes | 25 | 84 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 08:50 | yes | 9 | 17 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-10-01 11:13 | yes | 8 | 27 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:26 | yes | 14 | 30 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 11:45 | yes | 9 | 6 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 07:28 | yes | 2 | 4 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:51 | yes | 20 | 25 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-10-01 09:58 | yes | 16 | 4 s |
| Budget constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 10:06 | yes | 19 | 7 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:22 | yes | 7 | 5 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 11:03 | yes | 23 | 25 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:25 | yes | 5 | 2 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 11:29 | yes | 8 | 17 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 09:10 | yes | 24 | 23 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:34 | yes | 23 | 118 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 09:06 | yes | 22 | 29 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 08:47 | yes | 2 | 15 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 11:33 | yes | 14 | 24 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 11:22 | no | 0 | 6 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:54 | no | 0 | 11 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:55 | yes | 17 | 34 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-10-01 08:50 | yes | 17 | 6 s |
| Scale constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 09:55 | yes | 15 | 8 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 07:50 | no | 0 | 7 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 10:21 | yes | 18 | 28 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 07:56 | yes | 5 | 2 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 08:26 | no | 0 | 38 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 08:10 | yes | 14 | 19 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 09:49 | yes | 15 | 56 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 08:48 | no | 0 | 7 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 08:32 | yes | 2 | 23 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 09:42 | yes | 14 | 24 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 09:09 | yes | 15 | 13 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 10:41 | yes | 4 | 4 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:34 | yes | 21 | 26 s |
| Negative framing | Perplexity Sonar | sonar | 2026-10-01 10:18 | yes | 19 | 5 s |
| Negative framing | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 09:04 | yes | 25 | 8 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 11:37 | yes | 5 | 4 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 09:21 | yes | 25 | 43 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 10:58 | yes | 5 | 2 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:39 | yes | 15 | 41 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 09:34 | yes | 24 | 24 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 11:48 | yes | 24 | 55 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 11:21 | yes | 18 | 31 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-10-01 10:58 | yes | 3 | 41 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 09:16 | yes | 25 | 41 s |
Normalization in this category
Every judgment call made between the raw labels and the numbers above, listed so it is visible and reversible.
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Category-scoped readings
Arya Pulse read as Arya
Eightfold read as Eightfold AI
Noon read as Noon AI
SAP read as SAP SuccessFactors
Workday read as Workday Skills Cloud
Workday Talent Marketplace read as Workday Skills Cloud
Workday, Inc. read as Workday Skills Cloud
ZoomInfo read as ZoomInfo Talent
iCIMS read as iCIMS Talent Cloud
Unresolved, counted raw
ADP, Inc.
Google's Internal HR Systems
Harness (formerly HiredScore)
IBM Corporation
Jobspipe
LinkedIn Corporation
Oracle Corporation
Paradox.ai
RepVisor
Talent Intelligence Lab ATS
TalentRank
Visier Inc.
Workday Talent Intelligence / Workday Skills Cloud
Discontinued, still offered
No shut-down product was recommended here.