HiBob vs Rippling
Three of twelve models named HiBob first on the direct prompt; one named Rippling. HiBob was named by nine of the twelve models and Rippling by nine and HiBob carries 10 labels and Rippling 14, so the shares are not directly comparable.
Named in sixteen categories this edition.
Named in twenty-eight 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 HR AI assistants page.
By framing
HiBobFirst choices, of twelve modelsRippling
Across every category in the September 2026 Edition, HiBob and Rippling were named in the same answer 143 times, of the 261 answers naming HiBob and the 1168 naming Rippling. In those answers Rippling took the first choice thirty-eight times and HiBob fifteen.
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 | |
HiBob Rippling first choice named as an alternative argued againstblank: not namedEach cell is one answer, HiBob on the left and Rippling on the right.The direct prompt
HiBob first, Rippling an alternative
3 of 12 modelsRippling was named in the answer but not as the choice, or not at all.Rippling first, HiBob not the choice
1 of 12 modelsHiBob was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
3 of 12 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
5 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
HiBob0%#– of 10Rippling0%#7 of 10What the models said about HiBob
No label in this category carried a quote.
What the models said about Rippling
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.