Workable vs Ashby
Three of fourteen models named Workable first on the direct prompt; six named Ashby. Workable was named by thirteen of the fourteen models and Ashby by twelve and Workable carries 33 labels and Ashby 28, so the shares are not directly comparable.
Named in fourteen categories this edition.
Named in seven 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 AI recruiting assistants page.
By framing
WorkableFirst choices, of fourteen modelsAshby
Across every category in the November 2026 Edition, Workable and Ashby were named in the same answer ninety-three times, of the 367 answers naming Workable and the 244 naming Ashby. In those answers Ashby took the first choice six times and Workable twenty-three.
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 4.20 | | | | |||
| 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 | | | | |
Workable Ashby first choice named as an alternative argued againstblank: not namedEach cell is one answer, Workable on the left and Ashby on the right.The direct prompt
Workable first, Ashby not the choice
3 of 14 modelsAshby was named in the answer but not as the choice, or not at all.Ashby first, Workable an alternative
6 of 14 modelsWorkable was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
5 of 14 modelsThe answer put something else first and named one of the two as an alternative.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
Workable13%#3 of 11Ashby2%#7 of 11What the models said about Workable
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. One of one in this category shown.
“Workable and Greenhouse are the best AI recruiters, with Workable being especially popular for its balance of AI features, ease of use, and value for mid-sized teams.” Mistral Small · direct prompt · first choice
What the models said about Ashby
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Two of two in this category shown.
“including Greenhouse, Lever, and Ashby, may be in violation of the Fair Credit Reporting Act (FCRA)” Qwen 3.7 Flash · negative prompt · soft negative
“Ashby (potential FCRA issues in consumer reporting)” Grok 4.20 · negative 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.