Eight of fourteen models named SeekOut Recruit first on the direct prompt; two named hireEZ. SeekOut Recruit was named by fourteen of the fourteen models and hireEZ by ten and SeekOut Recruit carries 45 labels and hireEZ 16, so the shares are not directly comparable.
Named in one category this edition.
Named in six categories this edition.
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; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the talent intelligence page.
Across every category in the November 2026 Edition, SeekOut Recruit and hireEZ were named in the same answer forty-three times, of the 130 answers naming SeekOut Recruit and the 189 naming hireEZ. In those answers hireEZ took the first choice five times and SeekOut Recruit ten.
| Model | DirectSR | ParaphraseSR | ComparativeSR | Budget-constrainedSR | Scale-constrainedSR | NegativeSR |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | ||||||
| GPT-5.4 mini | SR | SR | ||||
| Gemini 3.5 Flash | SR | SR | SR | SR | ||
| Perplexity Sonar | SR | SR | SR | |||
| Grok 4.20 | SR | SR | SR | SR | SR | SR |
| Mistral Small | SR | SR | SR | SR | ||
| DeepSeek V4 Flash | SR | SR | SR | |||
| Llama 4 Maverick | SR | |||||
| Qwen 3.7 Flash | SR | SR | SR | SR | ||
| Kimi K2 | SR | SR | ||||
| GLM 4.7 FlashX | SR | SR | SR | |||
| MiniMax M2.5 | SR | SR | SR | |||
| GPT-6 Luna | SR | |||||
| Muse Glimmer 30B | SR | SR | SR |
Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Avoid enterprise-heavy options like Eightfold AI, SeekOut, Beamery” Grok 4.20 · budget prompt · hard negative
“Many talent intelligence tools (e.g., those from SeekOut, Beamery, Phenom, Gloat, Censia, Findem, Visier, or LinkedIn Talent Insights) aggregate data from public sources” Grok 4.20 · negative prompt · soft negative
“SeekOut has notable limitations, such as inconsistent contact data quality and some profiles lacking usable emails” Mistral Small · negative prompt · soft negative
“SeekOut: Excellent for sourcing intelligence, diversity, and market mapping. Strong external data + ATS integration. Good for recruiting-heavy needs; often praised for mid-market pricing and ease.” Grok 4.20 · scale prompt · first choice
“I'd lean SeekOut—because mid-market companies often need the strongest balance of candidate discovery, team usability, and practical recruiting workflows” GPT-5.4 mini · direct prompt · first choice
“1. SeekOut - *Best Overall Value* ... Start with SeekOut if you're primarily focused on sourcing and talent discovery” GLM 4.7 FlashX · direct prompt · first choice
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of three in this category shown.
“Reported concerns include variable contact-data quality, unclear external-data sources, and costs that rise with scale.” Perplexity Sonar · negative prompt · soft negative
“Unlike traditional platforms like SeekOut or hireEZ (which often start around $13,000–$20,000 annually)” Gemini 3.5 Flash · budget prompt · soft negative
“Starts around $169/user/month... but it edges toward mid-budget” Grok 4.20 · budget prompt · soft negative
Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.