Pin vs SeekOut
Three of fourteen models named Pin first on the direct prompt; one named SeekOut. Pin was named by thirteen of the fourteen models and SeekOut by fourteen and Pin carries 26 labels and SeekOut 31, so the shares are not directly comparable.
Named in eleven categories this edition.
Named in five 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.
By framing
PinFirst choices, of fourteen modelsSeekOut
Across every category in the October 2026 Edition, Pin and SeekOut were named in the same answer fifty-two times, of the 199 answers naming Pin and the 224 naming SeekOut. In those answers SeekOut took the first choice zero times and Pin twenty.
Every model, every framing
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| 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 | | | ||||
| Kimi K2 | | | | |||
| GLM 4.7 FlashX | | |||||
| MiniMax M2.5 | | | ||||
| GPT-6 Luna | | |||||
| Muse Glimmer 30B | | | |
Pin SeekOut first choice named as an alternative argued againstblank: not namedEach cell is one answer, Pin on the left and SeekOut on the right.The direct prompt
Pin first, SeekOut an alternative
3 of 14 modelsSeekOut was named in the answer but not as the choice, or not at all.SeekOut first, Pin not the choice
1 of 14 modelsPin was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
7 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
3 of 14 modelsThe answer made no first choice from these two in this category.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.
By buyer segment
SeekOut6%#3 of 15Pin2%#– of 15What the models said about Pin
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. One of one in this category shown.
“The best talent intelligence platform for a company with a limited budget is Pin, which starts at $100/month and has a free tier.” Llama 4 Maverick · budget prompt · first choice
What the models said about SeekOut
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of five in this category shown.
“18% negative sentiment noted. Seat-based model draws complaints on contact data accuracy, pricing, and ROI challenges” Grok 4.1 Fast · negative prompt · soft negative
“Users report it's "slower to reach ROI"” Kimi K2 · negative prompt · soft negative
“SeekOut – Best Overall for Mid-Market” Kimi K2 · direct prompt · first choice
“Choose a single-seat SeekOut Recruit Core plan to leverage enterprise-grade search filters without an enterprise contract.” Gemini 3.5 Flash · budget prompt · alternative
“Excellent for deep, diverse, and technical talent pools... though pricing has increasingly leaned toward enterprise budgets.” Gemini 3.5 Flash · scale prompt · alternative
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.