Recruitment marketing and career sites
Asked as “recruitment marketing platform”, and as “career site builder”, on behalf of a mid-market B2B company. 61 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
23%
Contested · Zoho Recruit 10%
23Teamtailor10Zoho Recruit07Breezy HR61others
23% of first choices, contested.
Since September 2026▲+8Since September 2026: 16% → 24%, +8 points. Inside the 13-point floor: within noise. Read over the models both editions asked.Teamtailor held the lead, +8 points on 16%, 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
Workable12%Contested↗new leaderNew leader since September 2026: Workable (12%) replaces 100Hires (20% then, 4% now), 8 points clear, inside the 13-point floor.Standing →Mid-market
Teamtailor23%Contested▲+8Since September 2026: 16% → 24%, +8 points. Inside the 13-point floor: within noise. Read over the models both editions asked.This pageEnterprise
Phenom35%Contested▼−7Since September 2026: 41% → 35%, −7 points. Inside the 13-point floor: within noise. Read over the models both editions asked.Standing →
Workable12%Contested↗new leaderNew leader since September 2026: Workable (12%) replaces 100Hires (20% then, 4% now), 8 points clear, inside the 13-point floor.Standing →Mid-marketTeamtailor23%Contested▲+8Since September 2026: 16% → 24%, +8 points. Inside the 13-point floor: within noise. Read over the models both editions asked.This pageEnterprisePhenom35%Contested▼−7Since September 2026: 41% → 35%, −7 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
01Teamtailor23%7%30accepted challenger▲+8Since September 2026: 16% → 24%, +8 points. Inside the 13-point floor: within noise. Read over the models both editions asked.16% → 24%
Teamtailor23%7%30accepted challenger▲+8Since September 2026: 16% → 24%, +8 points. Inside the 13-point floor: within noise. Read over the models both editions asked.16% → 24%02
Zoho Recruit10%0%15accepted challenger▲+10Since September 2026: 2% → 12%, +10 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 12%
Zoho Recruit10%0%15accepted challenger▲+10Since September 2026: 2% → 12%, +10 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 12%03Workable7%0%18accepted challenger▼−12Since September 2026: 16% → 4%, −12 points. Inside the 13-point floor: within noise. Read over the models both editions asked.16% → 4%
Workable7%0%18accepted challenger▼−12Since September 2026: 16% → 4%, −12 points. Inside the 13-point floor: within noise. Read over the models both editions asked.16% → 4%04
TalentLyft7%0%12accepted challenger▲+2Since September 2026: 4% → 6%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.4% → 6%
TalentLyft7%0%12accepted challenger▲+2Since September 2026: 4% → 6%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.4% → 6%05
Gem7%8%12accepted challenger▲+4Since September 2026: 2% → 6%, +4 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 6%
Gem7%8%12accepted challenger▲+4Since September 2026: 2% → 6%, +4 points. Inside the 13-point floor: within noise. Read over the models both editions asked.2% → 6%06
Recruitee5%0%13accepted challenger▲+4Since September 2026: 0% → 4%, +4 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 4%
Recruitee5%0%13accepted challenger▲+4Since September 2026: 0% → 4%, +4 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 4%07
Jobvite5%18%11accepted challenger▼−10Since September 2026: 14% → 4%, −10 points. Inside the 13-point floor: within noise. Read over the models both editions asked.14% → 4%
Jobvite5%18%11accepted challenger▼−10Since September 2026: 14% → 4%, −10 points. Inside the 13-point floor: within noise. Read over the models both editions asked.14% → 4%08Phenom5%37%30criticized challenger▲+2Since September 2026: 4% → 6%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.4% → 6%
Phenom5%37%30criticized challenger▲+2Since September 2026: 4% → 6%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.4% → 6%09
SmartRecruiters3%6%16accepted challenger▲+4Since September 2026: 0% → 4%, +4 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 4%
SmartRecruiters3%6%16accepted challenger▲+4Since September 2026: 0% → 4%, +4 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 4%10
Manatal3%8%13accepted challenger▼−8Since September 2026: 10% → 2%, −8 points. Inside the 13-point floor: within noise. Read over the models both editions asked.10% → 2%
Manatal3%8%13accepted challenger▼−8Since September 2026: 10% → 2%, −8 points. Inside the 13-point floor: within noise. Read over the models both editions asked.10% → 2%11
Symphony Talent3%29%17criticized challenger▲+4Since September 2026: 0% → 4%, +4 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 4%
Symphony Talent3%29%17criticized challenger▲+4Since September 2026: 0% → 4%, +4 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 4%12
Greenhouse2%9%23accepted challenger▼−2Since September 2026: 4% → 2%, −2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.4% → 2%
Greenhouse2%9%23accepted challenger▼−2Since September 2026: 4% → 2%, −2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.4% → 2%13
Lever2%7%14accepted challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 2%
Lever2%7%14accepted 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 four products at 0%, ordered by negative rate
16
Beamery0%33%27criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 0%
Beamery0%33%27criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 0%17
iCIMS Attract0%31%13criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 0%
iCIMS Attract0%31%13criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 0%14
Joveo0%14%14accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 0%
Joveo0%14%14accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 0%15
Appcast0%9%11accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 0%
Appcast0%9%11accepted 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.
All twenty-eight head-to-head pages: the top eight products, each against each
Teamtailor vs GemTeamtailor vs RecruiteeTeamtailor vs JobviteTeamtailor vs PhenomZoho Recruit vs WorkableZoho Recruit vs TalentLyftZoho Recruit vs GemZoho Recruit vs RecruiteeZoho Recruit vs JobviteZoho Recruit vs PhenomWorkable vs TalentLyftWorkable vs GemWorkable vs RecruiteeWorkable vs JobviteWorkable vs PhenomTalentLyft vs GemTalentLyft vs RecruiteeTalentLyft vs JobviteTalentLyft vs PhenomGem vs RecruiteeGem vs JobviteGem vs PhenomRecruitee vs JobviteRecruitee vs PhenomJobvite vs Phenom
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 →
0102030405060708091011121314151617Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative40%
Key
01Teamtailor23%
Teamtailor23%02Zoho Recruit10%
Zoho Recruit10%03Workable7%
Workable7%04TalentLyft7%
TalentLyft7%05Gem7%
Gem7%06Recruitee5%
Recruitee5%07Jobvite5%
Jobvite5%08Phenom5%
Phenom5%09SmartRecruiters3%
SmartRecruiters3%10Manatal3%
Manatal3%11Symphony Talent3%
Symphony Talent3%12Greenhouse2%
Greenhouse2%13Lever2%
Lever2%14Joveo0%
Joveo0%15Appcast0%
Appcast0%16Beamery0%
Beamery0%17iCIMS Attract0%
iCIMS Attract0%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, Llama 4 Maverick, Qwen 3.7 Flash, 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.
Phenom37%
11 of 30 labels negative · 7 of 14 models · 2 hard negative
“the best approach is to avoid high-end, enterprise-only "Recruitment Marketing Platforms" (RMPs) like Phenom, Beamery, or Symphony Talent” Gemini 3.5 Flash, budget prompt
Beamery33%
9 of 27 labels negative · 5 of 14 models · 2 hard negative
“avoid high-end, enterprise-only "Recruitment Marketing Platforms" (RMPs) like Phenom, Beamery, or Symphony Talent” Gemini 3.5 Flash, budget prompt
Jobilla83%
5 of 6 labels negative · 5 of 14 models · 2 hard negative
“recruitment marketing platforms that you should be cautious about or avoid: 1. **Jobilla** - Users report issues with the candidate management system” Mistral Small, negative prompt
Avature44%
4 of 9 labels negative · 4 of 14 models · 1 hard negative
“What to Avoid: Enterprise Complexity Be cautious of platforms like **Beamery**, **Avature**” Gemini 3.5 Flash, direct 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. 1037 links across 240 sites, every framing counted. Ranked by the number of answers carrying the site or page. 25 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 · G241 answers · 82 citations · 14 models
39 answers · 45 citations · 12 models
vendor site · Sprad38 answers · 38 citations · 11 models
vendor site · Rework34 answers · 55 citations · 10 models
vendor site · G234 answers · 43 citations · 12 models
28 answers · 29 citations · 9 models
24 answers · 25 citations · 11 models
vendor site · Joveo20 answers · 22 citations · 12 models
vendor site · Recruiterflow20 answers · 20 citations · 9 models
vendor site · Intervue18 answers · 18 citations · 10 models
18 answers · 18 citations · 9 models
vendor site · MokaHR17 answers · 28 citations · 10 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.
38 answers · 11 models
32 answers · 11 models
32 answers · 12 models
31 answers · 10 models
28 answers · 9 models
27 answers · 10 models
19 answers · 10 models
18 answers · 10 models
18 answers · 9 models
17 answers · 9 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 recruitment marketing platform”, “recruitment marketing platform”, “recruitment marketing 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 |
|---|---|---|---|---|---|---|---|---|
| Teamtailor teamtailor.com | 23% | 74 | 2,400 | 59 | 42,407 | $230 | 114 | |
| Zoho zoho.com Zoho Recruit 10% | 10% | 322 | 2,900 | 46 | 1,216,894 company | $51,031 | 119 | |
| Workable workable.com | 7% | 308 | 14,800 | 520 | 698,499 | $14,562 | 77 | |
| TalentLyft talentlyft.com | 7% | 32 | 70 | 3 | 67,376 | |||
| Gem gem.com | 7% | 209 | 246,000 | 225,116 | 16,291 | 10 | ||
| Breezy breezy.hr Breezy HR 7% | 7% | 189 | 3,600 | 59 | 178,670 company | $56 | 25 | |
| Recruitee recruitee.com | 5% | 63 | 1,000 | 28 | 26,872 | 4 | ||
| Jobvite jobvite.com | 5% | 41 | 14,800 | 170 | 96,685 | 56 | 1 | |
| Phenom phenom.com | 5% | 288 | 18,100 | 2,229 | 24,487 | 0 | ||
| SmartRecruiters smartrecruiters.com | 3% | 151 | 9,900 | 194 | 272,094 | 0 |
Google's top ten for the three searches hold 20 sites; 5 of them are among the sites the models cited here (joveo.com, learn.g2.com, mokahr.io, peoplemanagingpeople.com, selectsoftwarereviews.com). The first result for “best recruitment marketing platform” is peoplemanagingpeople.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 recruitment marketing platform for a mid-market B2B company?”Paraphrase“Which career site builder would you recommend to a mid-sized B2B company?”Comparative“What are the top recruitment marketing platforms and how do they differ?”Budget-constrained“What is the best recruitment marketing platform for a company with a limited budget?”Scale-constrained“We are a 500 person company evaluating a recruitment marketing platform. What should we look at?”Negative“Which recruitment marketing platforms should I avoid or be cautious about?”
Claude Haiku 4.5Greenhouse, SmartRecruitersPhenom, Symphony TalentChangedJoveoBreezy HR, Zoho Recruitno first choiceagainst: Bullhorn, Freshteam, HackerEarth, PowerToFly, Recruit CRM
Two alternatives
Jobilla, TeamtailorThree alternatives
HubSpot CMS, MokaHR, WebflowSix alternatives
Avature, Beamery, Paradox, Phenom, Sense, Symphony TalentThree alternatives
JazzHR, Manatal, TalentLyftGPT-5.4 miniJobviteLeverChangedJobvite, PhenomTeamtailoragainst: LinkedIn Talent Solutionsno first choicenothing named
Two alternatives
Appcast, TeamtailorTwo alternatives
Greenhouse, WorkableFour alternatives
Appcast, Employ, Recruitics, TeamtailorTwo alternatives
JazzHR, Zoho RecruitGemini 3.5 FlashGem, Teamtailoragainst: Avature, Beamery, PhenomTeamtailorChangedGem, PhenomTalentLyftagainst: Beamery, HubSpot, Mailchimp, Phenom, Symphony TalentClinch, Gem, Teamtailoragainst: Beamery, Phenom, Symphony Talentagainst: Beamery, Phenom, Symphony Talent
Three alternatives
Greenhouse, Lever, PinpointThree alternatives
Ongig, Pinpoint, WebflowFour alternatives
Avature, Beamery, Symphony Talent, iCIMS AttractFive alternatives
Breezy HR, JazzHR, Loxo, Manatal, Zoho RecruitPerplexity SonarPhenomTeamtailorChangedJoveoJazzHRno first choicenothing named
Three alternatives
Joveo, Teamtailor, WorkableTwo alternatives
Workable, iCIMS AttractSix alternatives
Bullhorn, DSMN8, Handshake, Lever, TalentLyft, Zoho RecruitThree alternatives
Loxo, TalentLyft, Zoho RecruitGrok 4.1 FastSmartRecruitersTeamtailorChangedno first choiceagainst: Symphony TalentZoho RecruitRecruitBPM, Symphony Talentagainst: GR8 People, Greenhouse, Indeed, JobDiva, Jobilla, ZipRecruiter, iCIMS Attract
Two alternatives
Lever, TeamtailorFour alternatives
Greenhouse, Lever, Recruitee, WorkableFour alternatives
Breezy HR, Manatal, TalentLyft, WellfoundOne alternative
RecruiterflowMistral SmallGemMokaHR, PhenomChangedno first choiceagainst: HootsuiteZoho Recruitno first choiceagainst: Appcast, Beamery, Gem, Jobilla, Joveo, Sense, VONQ
One alternative
SmartRecruitersTwo alternatives
Teamtailor, WorkableFour alternatives
Buffer, Canva, Google Analytics, LinkedIn Talent SolutionsDeepSeek V4 Flash100Hires, Teamtailoragainst: Phenom, RadancyTeamtailorChangedPhenomTalentLyftJobvite, Workableagainst: Jobilla, Jobvite, LinkedIn Talent Solutions, SmartRecruiters, Teamtailor, iCIMS Attract
One alternative
RecruiteeTwo alternatives
Greenhouse, SmartRecruitersSix alternatives
Appcast, Beamery, Joveo, Paradox, Symphony Talent, iCIMS AttractTwo alternatives
JazzHR, Zoho RecruitTwo alternatives
Beamery, SmartRecruitersLlama 4 Maverickno first choiceagainst: Beamery, Phenom, RadancyRecruiteeChangedno first choiceTalentLyftno first choicenothing named
Three alternatives
Jobvite, MokaHR, iCIMS AttractOne alternative
Zoho RecruitQwen 3.7 Flash100Hiresagainst: Avature, HireVueTalentNestChangedJoveo, Symphony TalentZoho Recruitno first choiceagainst: Greenhouse, Leveragainst: CareerBuilder, HireEze / HireEz, Monster, Spark Hire, TalentBin, ZoomInfo
Three alternatives
Gem, SmartRecruiters, TeamtailorTwo alternatives
Workable, iCIMS AttractThree alternatives
CareerArc, Eightfold AI, JobviteFour alternatives
BambooHR Recruiting, LinkedIn Company Page, Recruitics, SmartRecruitersKimi K2TeamtailorTeamtailorHeldagainst: Phenomno first choiceBreezy HR, Zoho Recruitno first choiceagainst: Indeed, JobDiva, Jobilla, LinkedIn Talent Solutions, Radancy, Recruitics, Textio
Three alternatives
Greenhouse, Lever, WorkableThree alternatives
Greenhouse, Lever, RecruiteeOne alternative
ManatalGLM 4.7 FlashXTeamtailoragainst: Beamery, Phenom, iCIMS AttractRecruitee, WorkableChangedagainst: PhenomBeamery, Teamtailoragainst: AvatureManatalno first choiceagainst: Bullhorn, Employment Hero, Jobilla, LinkedIn Talent Solutions, Manatal
Two alternatives
Ashby, LeverThree alternatives
Ashby, Jobvite, MokaHRFive alternatives
Appcast, Manatal, Phenom, Recruitee, SmartRecruitersFour alternatives
100Hires, HubSpot CRM, Onapply, Zoho RecruitMiniMax M2.5Teamtailoragainst: PhenomTalentNestChangedagainst: iCIMS AttractPhenomPeopleBreezy HR, Zoho Recruitno first choiceagainst: Jobvite
Two alternatives
Beamery, SmartRecruitersOne alternative
WorkableSeven alternatives
Beamery, Bullhorn, Greenhouse, Joveo, SmartRecruiters, Symphony Talent, iCIMS AttractTwo alternatives
JazzHR, ManatalGPT-6 LunaGemagainst: Beamery, PhenomTeamtailorChangedno first choiceBreezy HRno first choiceagainst: Avature, Beamery, Radancy, Symphony Talent
One alternative
TeamtailorOne alternative
WorkableOne alternative
Zoho RecruitMuse Glimmer 30BJobvite, WorkableWorkableChangedBeamery, Joveo, PhenomManatal, TalentLyftRecruitee, Teamtailoragainst: CareerOne, Indeed, Joveo, Monster, Recruitics, SEEK, Teamtailor, hireEZ
One alternative
TeamtailorTwo alternatives
PageUp, TeamtailorFour alternatives
Avature, Paradox, Sense, Symphony TalentFour alternatives
100Hires, JazzHR, JuggleHire, Zoho RecruitTwo alternatives
Beamery, PhenomBold 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 09:18 | yes | 9 | 7 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 12:00 | yes | 3 | 5 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:22 | yes | 14 | 29 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-10-01 10:32 | yes | 19 | 3 s |
| Direct recommendation | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 10:55 | yes | 24 | 8 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 09:26 | yes | 20 | 8 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 10:32 | yes | 22 | 23 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:43 | yes | 5 | 2 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 11:15 | yes | 14 | 32 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 09:14 | yes | 18 | 37 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:20 | yes | 20 | 26 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 10:27 | yes | 13 | 31 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-10-01 10:43 | yes | 3 | 17 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 11:35 | yes | 13 | 22 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 10:58 | yes | 9 | 10 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 07:58 | yes | 3 | 5 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:08 | yes | 16 | 29 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-10-01 11:52 | yes | 20 | 3 s |
| Paraphrase | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 09:33 | yes | 24 | 7 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 11:41 | yes | 7 | 36 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 09:54 | yes | 24 | 28 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:36 | yes | 5 | 4 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 12:07 | yes | 5 | 25 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 08:02 | yes | 18 | 25 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 12:00 | yes | 11 | 66 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 07:53 | yes | 13 | 24 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-10-01 09:03 | yes | 3 | 14 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:39 | yes | 18 | 27 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 11:24 | yes | 17 | 8 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:49 | yes | 7 | 12 s |
| Comparative | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:34 | yes | 15 | 24 s |
| Comparative | Perplexity Sonar | sonar | 2026-10-01 11:42 | yes | 16 | 4 s |
| Comparative | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 08:27 | yes | 20 | 8 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:37 | yes | 10 | 24 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 08:56 | yes | 20 | 33 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 07:38 | yes | 5 | 1 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 09:44 | yes | 9 | 39 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 08:14 | yes | 17 | 27 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:22 | yes | 24 | 53 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 07:52 | yes | 16 | 50 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-10-01 09:56 | yes | 9 | 27 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:13 | yes | 21 | 35 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 11:39 | yes | 9 | 8 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 08:17 | yes | 3 | 6 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:38 | yes | 19 | 17 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-10-01 08:27 | yes | 19 | 3 s |
| Budget constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 09:14 | yes | 25 | 16 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 11:31 | yes | 10 | 4 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 07:55 | yes | 24 | 44 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 10:57 | yes | 5 | 1 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 07:53 | no | 0 | 33 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:35 | yes | 8 | 13 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:08 | yes | 11 | 40 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 10:12 | yes | 10 | 19 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 08:25 | yes | 2 | 12 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:33 | yes | 15 | 27 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 11:44 | no | 0 | 5 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 12:00 | no | 0 | 7 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 11:24 | yes | 8 | 23 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-10-01 10:31 | yes | 17 | 5 s |
| Scale constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 10:14 | yes | 13 | 7 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 07:29 | no | 0 | 6 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 08:38 | yes | 18 | 35 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 07:36 | yes | 5 | 2 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:31 | no | 0 | 29 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 12:02 | yes | 10 | 17 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 12:04 | yes | 14 | 42 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 10:02 | no | 0 | 11 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 11:53 | yes | 4 | 20 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 11:30 | yes | 14 | 27 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 10:56 | yes | 9 | 7 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 11:47 | yes | 5 | 6 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:38 | yes | 23 | 27 s |
| Negative framing | Perplexity Sonar | sonar | 2026-10-01 09:43 | yes | 16 | 4 s |
| Negative framing | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 09:42 | yes | 23 | 7 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 08:34 | yes | 5 | 4 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 11:30 | yes | 22 | 26 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 11:10 | yes | 5 | 2 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 08:40 | no | 0 | 41 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 09:44 | yes | 22 | 28 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:37 | yes | 23 | 19 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 09:21 | yes | 16 | 19 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-10-01 09:54 | yes | 4 | 18 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:18 | yes | 22 | 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
BambooHR read as BambooHR Recruiting
Eightfold read as Eightfold AI
LinkedIn read as LinkedIn Talent Solutions
LinkedIn (Basic) read as LinkedIn Talent Solutions
Workday read as Workday Recruiting
iCIMS read as iCIMS Attract
iCIMS (Talent Cloud) read as iCIMS Attract
Unresolved, counted raw
Avature CRM
Beehexa
CareerOne
DSMN8
HireEze / HireEz
HubSpot CMS
SEEK
Salsify (Salsa)
Smart Dreamers
Swoop
Talemetry
Zarla
iCIMS Employer Branding
Discontinued, still offered
No shut-down product was recommended here.