Rippling vs HiBob
Four of fourteen models named Rippling first on the direct prompt; four named HiBob. Rippling was named by eleven of the fourteen models and HiBob by twelve and Rippling carries 16 labels and HiBob 15, so the shares are not directly comparable.
Named in twenty-nine categories this edition.
Named in twenty-four 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 HR AI assistants page.
By framing
RipplingFirst choices, of fourteen modelsHiBob
Across every category in the October 2026 Edition, Rippling and HiBob were named in the same answer 174 times, of the 1329 answers naming Rippling and the 346 naming HiBob. In those answers HiBob took the first choice thirteen times and Rippling twenty-nine.
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 | | |||||
| GPT-6 Luna | | |||||
| Muse Glimmer 30B | | |
Rippling HiBob first choice named as an alternative argued againstblank: not namedEach cell is one answer, Rippling on the left and HiBob on the right.The direct prompt
Rippling first, HiBob an alternative
4 of 14 modelsHiBob was named in the answer but not as the choice, or not at all.HiBob first, Rippling an alternative
4 of 14 modelsRippling 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.Neither was named
1 of 14 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
What the models said about Rippling
No label in this category carried a quote.
What the models said about HiBob
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. One of one in this category shown.
“Core HR + engagement analytics: HiBob is the most cited for scaling mid-size companies wanting predictive attrition/engagement insights.” Muse Glimmer 30B · direct 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.