# Rippling vs Culture Amp: which do AI models recommend for people analytics, September 2026

HR AI Recommendation Index, September 2026 Edition, People analytics. Zero of twelve models named Rippling first on the direct prompt; zero named Culture Amp. Page: https://hr-ai-index.com/planning/people-analytics/rippling-vs-culture-amp/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| Rippling | 4% | #7 of 12 | 6% | 17 | 9 of 12 |
| Culture Amp | 2% | #8 of 12 | 5% | 22 | 9 of 12 |

## The direct prompt, model by model

- Claude Haiku 4.5: neither first, one named (first choices: HiBob) (alternatives: Rippling, UKG People Analytics)
- Gemini 3.5 Flash: neither first, one named (first choices: Knoetic) (alternatives: ChartHop, Culture Amp, Illoominus, Paradox)
- Perplexity Sonar: neither first, one named (first choices: Crunchr, HiBob) (alternatives: ChartHop, Culture Amp)
- DeepSeek V4 Flash: neither first, one named (first choices: ChartHop, Crunchr) (alternatives: Culture Amp, Lattice, Leapsome, Orgnostic)
- Qwen 3.7 Flash: neither first, one named (first choices: Visier) (alternatives: Culture Amp, HiBob, Looker, Tableau)
- GPT-5.4 mini: neither named (first choices: Visier) (alternatives: ChartHop, Crunchr, Workday Peakon)
- Grok 4.1 Fast: neither named (first choices: Crunchr) (alternatives: ChartHop, Lattice)
- Mistral Small: neither named (first choices: Crunchr) (alternatives: HiBob, Lattice)
- Llama 4 Maverick: neither named (first choices: ChartHop)
- Kimi K2: neither named (first choices: Crunchr) (alternatives: ChartHop, Visier)
- GLM 4.7 FlashX: neither named (first choices: Crunchr) (alternatives: BambooHR, ChartHop, Personio)
- MiniMax M2.5: neither named (first choices: Visier) (alternatives: Lattice, Workday HCM)

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. Comparisons are drawn for the top eight products in each category. Published under CC BY 4.0; the output is the models' output, and nothing here is a recommendation by the index.