Ashby vs Greenhouse
Two of twelve models named Ashby first on the direct prompt; two named Greenhouse. Ashby was named by ten of the twelve models and Greenhouse by ten and Ashby carries 14 labels and Greenhouse 16, so the shares are not directly comparable.
Named in seven categories this edition.
Named in thirteen 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.
By framing
AshbyFirst choices, of twelve modelsGreenhouse
Across every category in the September 2026 Edition, Ashby and Greenhouse were named in the same answer ninety-three times, of the 136 answers naming Ashby and the 370 naming Greenhouse. In those answers Greenhouse took the first choice twenty-four times and Ashby six.
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 | |
Ashby Greenhouse first choice named as an alternative argued againstblank: not namedEach cell is one answer, Ashby on the left and Greenhouse on the right.The direct prompt
Ashby first, Greenhouse an alternative
2 of 12 modelsGreenhouse was named in the answer but not as the choice, or not at all.Greenhouse first, Ashby an alternative
2 of 12 modelsAshby was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
4 of 12 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
4 of 12 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
Ashby0%#– of 9Greenhouse0%#– of 9Greenhouse8%#4 of 10Ashby0%#– of 10What the models said about Ashby
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of five in this category shown.
“Potentially Greenhouse, Lever (by Employ), Ashby (FCRA investigations for AI screening/interviews)” Grok 4.1 Fast · negative prompt · soft negative
“Has a learning curve; avoid if your team wants simplicity” Kimi K2 · direct prompt · soft negative
“less "AI recruiter" and more ATS/workflow platforms” Perplexity Sonar · direct prompt · soft negative
“Ideal for startups and mid-market companies needing a unified system for ATS, CRM, scheduling, and analytics.” Mistral Small · direct prompt · first choice
“I'd recommend Ashby if you need a full ATS replacement, or Spark Hire if you already have an ATS” Kimi K2 · paraphrase prompt · first choice
What the models said about Greenhouse
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.