Applicant tracking systems for enterprise buyers
Asked as “applicant tracking system”, and as “ATS”, on behalf of an enterprise B2B company. 55 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
42%
Clear leader
42Greenhouse18iCIMS16Workday Recruiting24others
42% of first choices, clear leader.
Since October 2026▲+5Since October 2026: 37% → 42%, +5 points. Inside the 13-point floor: within noise.Greenhouse held the lead, +5 points on 37%, 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
Breezy HR32%Contested▲+5Since October 2026: 27% → 32%, +5 points. Inside the 13-point floor: within noise.Standing →Mid-market
Greenhouse30%Contested▼−10Since October 2026: 40% → 30%, −10 points. Inside the 13-point floor: within noise.Standing →EnterpriseGreenhouse42%Clear leader▲+5Since October 2026: 37% → 42%, +5 points. Inside the 13-point floor: within noise.This page
Breezy HR32%Contested▲+5Since October 2026: 27% → 32%, +5 points. Inside the 13-point floor: within noise.Standing →Mid-marketGreenhouse30%Contested▼−10Since October 2026: 40% → 30%, −10 points. Inside the 13-point floor: within noise.Standing →EnterpriseGreenhouse42%Clear leader▲+5Since October 2026: 37% → 42%, +5 points. Inside the 13-point floor: within noise.This pageThe standing
Share is the count of first choices across the direct, paraphrase, budget and scale prompts, over all fourteen models, for an enterprise B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince October 2026
01Greenhouse42%9%67endorsed leader▲+5Since October 2026: 37% → 42%, +5 points. Inside the 13-point floor: within noise.37% → 42%
Greenhouse42%9%67endorsed leader▲+5Since October 2026: 37% → 42%, +5 points. Inside the 13-point floor: within noise.37% → 42%02
iCIMS18%24%68accepted challenger▼−8Since October 2026: 26% → 18%, −8 points. Inside the 13-point floor: within noise.26% → 18%
iCIMS18%24%68accepted challenger▼−8Since October 2026: 26% → 18%, −8 points. Inside the 13-point floor: within noise.26% → 18%03
Workday Recruiting16%22%67accepted challenger▲+1Since October 2026: 15% → 16%, +1 point. Inside the 13-point floor: within noise.15% → 16%
Workday Recruiting16%22%67accepted challenger▲+1Since October 2026: 15% → 16%, +1 point. Inside the 13-point floor: within noise.15% → 16%04
SmartRecruiters7%11%47accepted challenger▲+1Since October 2026: 6% → 7%, +1 point. Inside the 13-point floor: within noise.6% → 7%
SmartRecruiters7%11%47accepted challenger▲+1Since October 2026: 6% → 7%, +1 point. Inside the 13-point floor: within noise.6% → 7%05
Lever4%11%44accepted challenger▲+2Since October 2026: 2% → 4%, +2 points. Inside the 13-point floor: within noise.2% → 4%
Lever4%11%44accepted challenger▲+2Since October 2026: 2% → 4%, +2 points. Inside the 13-point floor: within noise.2% → 4%06
SAP SuccessFactors Recruiting4%21%33accepted challenger▲+4Since October 2026: 0% → 4%, +4 points. Inside the 13-point floor: within noise.0% → 4%
SAP SuccessFactors Recruiting4%21%33accepted challenger▲+4Since October 2026: 0% → 4%, +4 points. Inside the 13-point floor: within noise.0% → 4%07
Ashby2%16%19accepted challenger=heldSince October 2026: 2% → 2%, ±0 points. Inside the 13-point floor: within noise.2% → 2%
Ashby2%16%19accepted challenger=heldSince October 2026: 2% → 2%, ±0 points. Inside the 13-point floor: within noise.2% → 2%Show the three products at 0%, ordered by negative rate
10
Oracle Taleo0%60%25criticized challenger▼−2Since October 2026: 2% → 0%, −2 points. Inside the 13-point floor: within noise.2% → 0%
Oracle Taleo0%60%25criticized challenger▼−2Since October 2026: 2% → 0%, −2 points. Inside the 13-point floor: within noise.2% → 0%09
Oracle Recruiting0%30%10criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise.0% → 0%
Oracle Recruiting0%30%10criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise.0% → 0%08
Avature0%8%12accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise.0% → 0%
Avature0%8%12accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise.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 can't be told apart from repeat variation, and both are shown. Each index measures its own floor from its own repeat, over its own categories, so the floor differs from one index to the next. Both editions asked the same fourteen models. 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.
For buyers
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
Greenhouse vs Zoho RecruitGreenhouse vs LeverGreenhouse vs 100HiresGreenhouse vs ManatalWorkable vs Breezy HRWorkable vs AshbyWorkable vs Zoho RecruitWorkable vs LeverWorkable vs 100HiresWorkable vs ManatalBreezy HR vs AshbyBreezy HR vs Zoho RecruitBreezy HR vs LeverBreezy HR vs 100HiresBreezy HR vs ManatalAshby vs Zoho RecruitAshby vs LeverAshby vs 100HiresAshby vs ManatalZoho Recruit vs LeverZoho Recruit vs 100HiresZoho Recruit vs ManatalLever vs 100HiresLever vs Manatal100Hires vs Manatal
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 →
01020304050607080910Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative60%
Key
01Greenhouse42%
Greenhouse42%02iCIMS18%
iCIMS18%03Workday Recruiting16%
Workday Recruiting16%04SmartRecruiters7%
SmartRecruiters7%05Lever4%
Lever4%06SAP SuccessFactors Recruiting4%
SAP SuccessFactors Recruiting4%07Ashby2%
Ashby2%08Avature0%
Avature0%09Oracle Recruiting0%
Oracle Recruiting0%10Oracle Taleo0%
Oracle Taleo0%What they warned about
Six of fourteen models held their first choice under the paraphrase. Claude Haiku 4.5, Gemini 3.5 Flash, Mistral Small, DeepSeek V4 Flash, Llama 4 Maverick, Qwen 3.7 Flash, Kimi K2 and MiniMax M2.5 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.
Workday Recruiting22%
15 of 67 labels negative · 12 of 14 models · 7 hard negative
“Workday Recruiting (Proceed with Caution regarding "Base" Features) ... its native recruiting solution is frequently controversial in the enterprise space” Qwen 3.7 Flash, negative prompt
iCIMS24%
16 of 68 labels negative · 12 of 14 models · 3 hard negative
“iCIMS Powerful backend, painful on the applicant side. Frequently described as 'overly complicated.'” Muse Glimmer 30B, negative prompt
Oracle Taleo60%
15 of 25 labels negative · 11 of 14 models · 7 hard negative
“it is now frequently cited as a system to avoid for any organization considering a fresh start or a modernization project” Qwen 3.7 Flash, negative prompt
SAP SuccessFactors Recruiting21%
7 of 33 labels negative · 7 of 14 models · 2 hard negative
“implementation complexity (SuccessFactors: 12-18 month timelines)” Muse Glimmer 30B, negative prompt
What they cite
Fourteen of the fourteen models returned a source list in this edition: five return the pages they cited and nine the search results they consulted.
Sites the answers cite
75 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. 925 links across 245 sites, every framing counted. Ranked by the number of answers carrying the site or page. 2 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 · Lever35 answers · 48 citations · 14 models
vendor site · Greenhouse29 answers · 38 citations · 11 models
vendor site · Pin23 answers · 24 citations · 10 models
21 answers · 23 citations · 9 models
19 answers · 26 citations · 9 models
vendor site · Lead Change Group17 answers · 20 citations · 8 models
17 answers · 18 citations · 8 models
16 answers · 16 citations · 8 models
16 answers · 16 citations · 8 models
vendor site · G215 answers · 25 citations · 8 models
vendor site · iCIMS15 answers · 17 citations · 7 models
vendor site · Gem14 answers · 14 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.
27 answers · 12 models
18 answers · 8 models
17 answers · 9 models
16 answers · 8 models
16 answers · 8 models
15 answers · 8 models
14 answers · 6 models
13 answers · 7 models
12 answers · 8 models
12 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 “applicant tracking system”, “applicant tracking systems”, “best applicant tracking system”. 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 |
|---|---|---|---|---|---|---|---|---|
| Greenhouse greenhouse.com | 42% | 401 | 301,000 | 52,273 | 62,551 | $5,545 | 74 | |
| iCIMS icims.com | 18% | 143 | 27,100 | 667 | 1,165,712 | $5,674 | 26 | |
| Workday parent site Workday Recruiting 16% | 16% | 184 | 1,220,000 | 23,848 | ||||
| SmartRecruiters smartrecruiters.com | 7% | 168 | 9,900 | 194 | 272,094 | 0 | ||
| Workable workable.com | 7% | 332 | 14,800 | 520 | 698,499 | $14,562 | 77 | |
| Lever lever.co | 4% | 221 | 60,500 | 24,663 | 189,552 | $657 | 7 | |
| SAP parent site SAP SuccessFactors Recruiting 4%, SAP SuccessFactors HCM 0% | 4% | 68 | 135,000 | 74,309 | ||||
| Ashby ashbyhq.com | 2% | 217 | 49,500 | 3,112 | 216,820 | 16 | ||
| Avature avature.net | 0% | 106 | 2,900 | 60 | 541,149 | 44 | 8 | |
| Phenom phenom.com | 0% | 331 | 18,100 | 2,229 | 24,487 | 0 |
Google's top ten for the three searches hold 14 sites; 1 of them are among the sites the models cited here (pin.com). The first result for “applicant tracking system” is technologyadvice.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 applicant tracking system for an enterprise B2B company?”Paraphrase“Which ATS would you recommend to a large B2B company with thousands of employees?”Comparative“What are the top enterprise-grade applicant tracking systems and how do they differ?”Budget-constrained“What is the best applicant tracking system 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 an applicant tracking system. What should we look at?”Negative“Which applicant tracking systems should a large enterprise avoid or be cautious about?”
Claude Haiku 4.5GreenhouseSAP SuccessFactors Recruiting, Workday RecruitingChangedGreenhouseWorkableagainst: Greenhouse, SmartRecruiters, iCIMSno first choicenothing named
Four alternatives
Lever, SmartRecruiters, Workday Recruiting, iCIMSThree alternatives
Greenhouse, Lever, Oracle RecruitingFour alternatives
Lever, SmartRecruiters, Workday Recruiting, iCIMSOne alternative
RipplingGPT-5.4 miniiCIMSiCIMSHeldGreenhouseagainst: Oracle TaleoiCIMSagainst: Workday Recruitingno first choicenothing named
Two alternatives
Greenhouse, Workday RecruitingFour alternatives
Greenhouse, Oracle Taleo, SAP SuccessFactors Recruiting, Workday RecruitingSeven alternatives
Avature, Lever, Phenom, SAP SuccessFactors Recruiting, SmartRecruiters, Workday Recruiting, iCIMSOne alternative
GreenhouseGemini 3.5 FlashGreenhouseGreenhouse, SmartRecruitersChangedGreenhouse, SmartRecruiters, Workday Recruitingagainst: Oracle Recruiting, Oracle TaleoWorkday RecruitingGreenhouseagainst: iCIMSagainst: ADP Workforce Now, Ashby, BambooHR, Breezy HR, GoHire, Greenhouse, IBM Kenexa BrassRing, JazzHR, Lever, Manatal, Oracle Taleo, Paycom, Paylocity, Recruitee, SilkRoad Recruiting, Workable, Zoho Recruit
Seven alternatives
Ashby, Lever, Oracle Recruiting, SAP SuccessFactors Recruiting, SmartRecruiters, Workday Recruiting, iCIMSFour alternatives
Lever, SAP SuccessFactors Recruiting, Workday Recruiting, iCIMSTwo alternatives
Lever, SAP SuccessFactors RecruitingThree alternatives
Greenhouse, SmartRecruiters, iCIMSThree alternatives
Ashby, SmartRecruiters, Workday RecruitingPerplexity SonarGreenhouseGreenhouseHeldno first choiceSmartRecruitersagainst: Workday Recruitingno first choiceagainst: AvaHR, Avature, ClearCo, Oracle Recruiting, Oracle Taleo, SAP SuccessFactors Recruiting, Workday Recruiting, iCIMS
Five alternatives
Ashby, Lever, SmartRecruiters, Workday Recruiting, iCIMSThree alternatives
SAP SuccessFactors Recruiting, Workday Recruiting, iCIMSNine alternatives
Ashby, Avature, Greenhouse, Lever, Oracle Recruiting, SAP SuccessFactors Recruiting, SmartRecruiters, Workday Recruiting, iCIMSTwo alternatives
Greenhouse, iCIMSGrok 4.20GreenhouseGreenhouseHeldWorkday RecruitingWorkday Recruitingagainst: Ashby, LeverGreenhouse, Leveragainst: ApplicantStack, Jobvite, Oracle Taleo, SAP SuccessFactors Recruiting, Symplr, Workday Recruiting, iCIMS
Five alternatives
Lever, SAP SuccessFactors Recruiting, SmartRecruiters, Workday Recruiting, iCIMSSix alternatives
Avature, Oracle Taleo, SAP SuccessFactors Recruiting, SmartRecruiters, Workday Recruiting, iCIMSFive alternatives
Greenhouse, Oracle Taleo, Phenom, SAP SuccessFactors Recruiting, iCIMSThree alternatives
Greenhouse, SmartRecruiters, iCIMSTwo alternatives
Workday Recruiting, iCIMSMistral SmallGreenhouse, SmartRecruitersWorkday RecruitingChangedGreenhouseWorkableno first choiceagainst: Oracle Taleo, SAP SuccessFactors Recruiting, Workday Recruiting, iCIMS
Four alternatives
Lever, Pinpoint, Workday Recruiting, iCIMSFour alternatives
Avature, Greenhouse, Lever, SAP SuccessFactors HCMSeven alternatives
BambooHR, Bullhorn, Lever, LinkedIn Talent Insights, SmartRecruiters, Workday Recruiting, iCIMSThree alternatives
Greenhouse, Lever, SmartRecruitersDeepSeek V4 FlashGreenhouseiCIMSChangedGreenhouseWorkableagainst: Greenhouse, Lever, SmartRecruiters, iCIMSno first choiceagainst: Oracle Taleo, SAP SuccessFactors Recruiting, Tellent, UKG Pro, Workday Recruiting, iCIMS
Four alternatives
Ashby, Lever, Workday Recruiting, iCIMSThree alternatives
Greenhouse, SmartRecruiters, Workday RecruitingNine alternatives
Ashby, Bullhorn, Jobvite, Lever, Oracle Recruiting, SAP SuccessFactors Recruiting, SmartRecruiters, Workday Recruiting, iCIMSLlama 4 Maverickno first choiceiCIMSChangedno first choiceGreenhouseno first choiceagainst: Greenhouse, Workday Recruiting, iCIMS
Three alternatives
Greenhouse, SAP SuccessFactors Recruiting, Workday RecruitingThree alternatives
Ashby, Lever, PinpointQwen 3.7 FlashGreenhouse, LeverGreenhouseChangediCIMSagainst: Oracle Taleo, SAP SuccessFactors Recruiting, Workday RecruitingiCIMSagainst: Breezy HR, Pinpoint, Treegardenno first choiceagainst: Oracle Taleo, Workday Recruiting, iCIMS
Two alternatives
Workday Recruiting, iCIMSThree alternatives
Lever, Workday Recruiting, iCIMSTwo alternatives
Greenhouse, SmartRecruitersOne alternative
Workday RecruitingKimi K2GreenhouseGreenhouse, iCIMSChangedGreenhouse, Lever, SmartRecruiters, iCIMSagainst: Oracle TaleoAshbyno first choiceagainst: Workday Recruitingagainst: Oracle Taleo, Workday Recruiting, iCIMS
Four alternatives
Lever, SmartRecruiters, Workday Recruiting, iCIMSOne alternative
Workday RecruitingTwo alternatives
SAP SuccessFactors Recruiting, Workday RecruitingTwo alternatives
SmartRecruiters, iCIMSGLM 4.7 FlashXWorkday RecruitingWorkday RecruitingHeldGreenhouseSAP SuccessFactors Recruiting, Workday Recruitingagainst: iCIMSno first choiceagainst: Oracle, PeopleSoft, SmartRecruiters, Workday Recruiting, iCIMS
Three alternatives
Greenhouse, Lever, iCIMSThree alternatives
Darwinbox, Greenhouse, iCIMSFive alternatives
Bullhorn, Lever, SmartRecruiters, Workday Recruiting, iCIMSOne alternative
GreenhouseMiniMax M2.5GreenhouseGreenhouse, iCIMSChangediCIMSagainst: BambooHRSmartRecruitersagainst: Greenhouse, Lever, iCIMSno first choiceagainst: Oracle Taleo, Workday Recruiting, iCIMS
Three alternatives
Lever, LinkedIn Talent Insights, iCIMSThree alternatives
Lever, Oracle Taleo, Workday RecruitingFive alternatives
Bullhorn, Greenhouse, Lever, SmartRecruiters, Workday RecruitingOne alternative
AshbyGPT-6 LunaGreenhouseGreenhouseHeldno first choiceagainst: SmartRecruitersGreenhouseno first choiceagainst: Oracle Taleo, SAP SuccessFactors Recruiting, Workday Recruiting
Three alternatives
Ashby, Workday Recruiting, iCIMSTwo alternatives
Workday Recruiting, iCIMSTwo alternatives
Workday Recruiting, iCIMSMuse Glimmer 30BGreenhouse, Workday Recruiting, iCIMSGreenhouse, Workday Recruiting, iCIMSHeldagainst: BullhorniCIMSagainst: Oracle Recruiting, Oracle TaleoWorkableagainst: Ashby, Greenhouse, Lever, SmartRecruiters, iCIMSno first choiceagainst: Oracle Talent Management Cloud, Oracle Taleo, SAP SuccessFactors Recruiting, UKG Pro, Workday Recruiting, iCIMS
Two alternatives
Darwinbox, LeverThree alternatives
Darwinbox, SAP SuccessFactors Recruiting, SmartRecruitersThree alternatives
Greenhouse, SAP SuccessFactors Recruiting, Workday RecruitingOne alternative
Workday RecruitingBold 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.
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 | 2026-11-01 08:55 | yes | 17 | 8 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 11:17 | yes | 3 | 5 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 08:52 | yes | 10 | 22 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-11-01 10:24 | yes | 10 | 4 s |
| Direct recommendation | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:31 | yes | 13 | 35 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 11:43 | yes | 5 | 5 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 09:53 | yes | 24 | 19 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 10:40 | yes | 5 | 3 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 09:50 | yes | 12 | 23 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 09:06 | yes | 10 | 34 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 12:46 | yes | 15 | 24 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 08:46 | yes | 13 | 141 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-11-01 12:51 | yes | 5 | 16 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 09:54 | yes | 14 | 16 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 12:49 | no | 0 | 5 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 08:42 | yes | 3 | 6 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 12:51 | no | 0 | 16 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-11-01 11:30 | yes | 10 | 3 s |
| Paraphrase | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:04 | yes | 5 | 33 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 10:22 | yes | 5 | 6 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 12:47 | yes | 25 | 31 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 09:47 | yes | 5 | 6 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 09:33 | no | 0 | 33 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 09:12 | yes | 9 | 16 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 12:00 | yes | 10 | 53 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 12:36 | yes | 5 | 20 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-11-01 12:49 | yes | 3 | 11 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 11:17 | yes | 14 | 19 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 09:30 | yes | 19 | 9 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 11:55 | yes | 3 | 8 s |
| Comparative | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 12:11 | no | 0 | 19 s |
| Comparative | Perplexity Sonar | sonar | 2026-11-01 09:51 | yes | 10 | 6 s |
| Comparative | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:18 | yes | 10 | 39 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 09:34 | yes | 5 | 6 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 12:20 | yes | 24 | 34 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 11:54 | yes | 5 | 4 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 08:58 | yes | 10 | 31 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 09:04 | yes | 20 | 67 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 09:39 | yes | 20 | 40 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 09:36 | yes | 14 | 61 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-11-01 11:00 | yes | 8 | 30 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 09:50 | yes | 23 | 37 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 09:31 | yes | 18 | 10 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 10:19 | yes | 5 | 9 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 10:06 | no | 0 | 13 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-11-01 11:47 | yes | 10 | 4 s |
| Budget constrained | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:22 | yes | 24 | 36 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 09:43 | yes | 5 | 5 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 10:07 | yes | 20 | 20 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 11:17 | yes | 5 | 3 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 09:46 | yes | 10 | 76 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 12:47 | yes | 20 | 46 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 12:51 | yes | 23 | 248 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 08:59 | yes | 22 | 87 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-11-01 09:31 | yes | 4 | 16 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 09:31 | yes | 21 | 29 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 11:46 | yes | 18 | 13 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 11:41 | yes | 4 | 9 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 09:17 | no | 0 | 25 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-11-01 10:48 | yes | 10 | 10 s |
| Scale constrained | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:29 | yes | 5 | 35 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 09:33 | no | 0 | 8 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 11:11 | yes | 20 | 57 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 11:58 | yes | 5 | 4 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 12:07 | no | 0 | 32 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 09:26 | yes | 22 | 41 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 10:25 | yes | 24 | 41 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 12:10 | no | 0 | 21 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-11-01 10:00 | yes | 5 | 25 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 11:07 | yes | 14 | 19 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 10:19 | yes | 17 | 8 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 10:01 | yes | 4 | 6 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 08:50 | yes | 12 | 25 s |
| Negative framing | Perplexity Sonar | sonar | 2026-11-01 08:41 | yes | 10 | 6 s |
| Negative framing | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:22 | yes | 15 | 34 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 12:48 | yes | 5 | 5 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 11:39 | yes | 24 | 43 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 12:37 | yes | 5 | 3 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 10:18 | yes | 10 | 39 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 12:34 | yes | 23 | 31 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 12:39 | yes | 25 | 61 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 11:49 | yes | 13 | 60 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-11-01 09:05 | yes | 4 | 26 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 11:47 | yes | 23 | 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
Cornerstone read as Cornerstone OnDemand
LeverTRM read as Lever
LeverTRM (Lever) read as Lever
LeverTRM (Talent Relationship Management) read as Lever
Oracle Fusion Cloud Recruiting read as Oracle Recruiting
Oracle Taleo Enterprise Edition read as Oracle Taleo
SAP read as SAP SuccessFactors Recruiting
SAP SuccessFactors read as SAP SuccessFactors Recruiting
Taleo read as Oracle Taleo
Taleo (Oracle) read as Oracle Taleo
UKG Pro Recruiting read as UKG Pro
Workday read as Workday Recruiting
Workday HCM read as Workday Recruiting
iCIMS Talent Cloud read as iCIMS
Unresolved, counted raw
SilkRoad Recruiting
Symplr
Talentsoft
Tellent (Recruitee)
Discontinued, still offered
No shut-down product was recommended here.