One of twelve models named SeekOut first on the direct prompt; one named Gem. SeekOut was named by ten of the twelve models and Gem by eight and SeekOut carries 13 labels and Gem 10, so the shares are not directly comparable.
Named in six 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 AI recruiting assistants page.
Across every category in the September 2026 Edition, SeekOut and Gem were named in the same answer 110 times, of the 193 answers naming SeekOut and the 197 naming Gem. In those answers Gem took the first choice twenty-three times and SeekOut ten.
| 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 |
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. One of one in this category shown.
“the best choice is usually SeekOut if your main need is finding, sourcing, screening, and engaging professional/knowledge-worker candidates” GPT-5.4 mini · direct prompt · first choice
No label in this category carried a quote.
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.