Zero of twelve models named Pin first on the direct prompt; one named SeekOut. Pin was named by six of the twelve models and SeekOut by twelve and Pin carries 11 labels and SeekOut 34, so the shares are not directly comparable.
Named in seven categories 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 twelve 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 Recruiting CRM and sourcing page.
Across every category in the September 2026 Edition, Pin and SeekOut were named in the same answer fifty times, of the 163 answers naming Pin and the 193 naming SeekOut. In those answers SeekOut took the first choice three times and Pin nine.
| Model | DirectPI | ParaphrasePI | ComparativePI | Budget-constrainedPI | Scale-constrainedPI | NegativePI |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | ||||||
| GPT-5.4 mini | ||||||
| Gemini 3.5 Flash | PI | |||||
| Perplexity Sonar | PI | |||||
| Grok 4.1 Fast | ||||||
| Mistral Small | ||||||
| DeepSeek V4 Flash | PI | |||||
| Llama 4 Maverick | ||||||
| Qwen 3.7 Flash | ||||||
| Kimi K2 | ||||||
| GLM 4.7 FlashX | ||||||
| MiniMax M2.5 | PI |
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.
No label in this category carried a quote.
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. One of one in this category shown.
“I'd recommend starting with Lever (if you want all-in-one) or SeekOut (for specialized technical sourcing)” MiniMax M2.5 · direct prompt · first choice
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.