Rippling vs HiBob
Two of twelve models named Rippling first on the direct prompt; two named HiBob. Rippling was named by eleven of the twelve models and HiBob by nine and Rippling carries 26 labels and HiBob 14, so the shares are not directly comparable.
Named in twenty-eight categories this edition.
Named in sixteen 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 workforce planning page.
By framing
RipplingFirst choices, of twelve modelsHiBob
Across every category in the September 2026 Edition, Rippling and HiBob were named in the same answer 143 times, of the 1168 answers naming Rippling and the 261 naming HiBob. In those answers HiBob took the first choice fifteen times and Rippling thirty-eight.
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 | |
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
2 of 12 modelsHiBob was named in the answer but not as the choice, or not at all.HiBob first, Rippling an alternative
2 of 12 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 12 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
3 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
Rippling18%#2 of 12HiBob0%#– of 12Rippling0%#– of 9HiBob0%#– of 9What 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.
“Easy to use and intuitive, but customization limits and reporting depth are common complaints.” GLM 4.7 FlashX · 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.