Seven of fourteen models named Rippling first on the direct prompt; four named BambooHR. Both were named by all fourteen models and Rippling carries 46 labels and BambooHR 58, so the shares are not directly comparable.
Named in thirty-three categories this edition.
Named in twenty-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 employee onboarding page.
Across every category in the November 2026 Edition, Rippling and BambooHR were named in the same answer 662 times, of the 1650 answers naming Rippling and the 1234 naming BambooHR. In those answers BambooHR took the first choice 108 times and Rippling 104.
| 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 |
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. Two of two in this category shown.
“BambooHR and Rippling are often top choices due to their balance of ease of use, integration capabilities, and scalability.” Mistral Small · direct prompt · first choice
“Best for straightforward, all-in-one HR onboarding with self-service portals, making it ideal for mid-sized teams” Mistral Small · paraphrase 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.