# Uncommon Giving vs Groundswell: which do AI models recommend for giving & volunteering, October 2026

HR AI Recommendation Index, October 2026 Edition, Employee giving and volunteering. Three of fourteen models named Uncommon Giving first on the direct prompt; three named Groundswell. Page: https://hr-ai-index.com/experience/employee-giving-and-volunteering/uncommon-giving-vs-groundswell/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| Uncommon Giving | 10% | #3 of 10 | 6% | 32 | 13 of 14 |
| Groundswell | 7% | #5 of 10 | 5% | 20 | 11 of 14 |

## The direct prompt, model by model

- Claude Haiku 4.5: uncommon giving first (first choices: Uncommon Giving) (alternatives: Bright Funds, Groundswell, Millie)
- MiniMax M2.5: uncommon giving first (first choices: Bright Funds, Uncommon Giving) (alternatives: Millie, OnHand)
- Muse Glimmer 30B: uncommon giving first (first choices: Bright Funds, Uncommon Giving)
- Gemini 3.5 Flash: groundswell first (first choices: Groundswell) (alternatives: Bright Funds, Deed, Millie, Uncommon Giving)
- DeepSeek V4 Flash: groundswell first (first choices: Groundswell, Millie) (alternatives: Bright Funds, OnHand, Selflessly, Uncommon Giving)
- Kimi K2: groundswell first (first choices: Groundswell, Millie) (alternatives: Alaya, OnHand, YourCause)
- Perplexity Sonar: neither first, one named (first choices: Millie) (alternatives: Percent Pledge, Uncommon Giving)
- Grok 4.1 Fast: neither first, one named (first choices: Millie) (alternatives: Goodera, Selflessly, Uncommon Giving)
- Mistral Small: neither first, one named (first choices: Bright Funds) (alternatives: Uncommon Giving, VolunteerLocal)
- Llama 4 Maverick: neither first, one named (first choices: Bright Funds) (alternatives: Guideflow, Uncommon Giving)
- GLM 4.7 FlashX: neither first, one named (first choices: Bright Funds) (alternatives: Uncommon Giving)
- GPT-5.4 mini: neither named (first choices: Bonterra) (alternatives: Benevity Enterprise Impact Platform)
- Qwen 3.7 Flash: neither named (first choices: Benevity Enterprise Impact Platform, Social Cues) (alternatives: Goodchange, Salesforce Nonprofit Cloud)
- GPT-6 Luna: neither named (first choices: Selflessly) (alternatives: Benevity Enterprise Impact Platform, Millie, YourCause)

## What the models said about Uncommon Giving

- "Starts at ~$5,000/year, which is steep for limited budgets" (Kimi K2, budget prompt, hard negative)
- "Full-suite options (e.g., Uncommon Giving at $5,000/year min) are better for larger firms." (Grok 4.1 Fast, budget prompt, soft negative)
- "look into modern, employee-experience-first platforms such as Deed, Groundswell, Uncommon Giving, or Millie" (Gemini 3.5 Flash, negative prompt, first choice)
- "Best for streamlined mid-market giving: Uncommon Giving, pairing giving wallets with volunteer management." (Muse Glimmer 30B, direct prompt, first choice)
- "Best value to shortlist: Uncommon Giving—if your software budget is around $5,000/year or more" (GPT-6 Luna, budget prompt, first choice)

## What the models said about Groundswell

- "Platforms like Groundswell or Selflessly (~$2–$4.50+/user/month or $4,500+/year) add giving but exceed tight budgets." (Grok 4.1 Fast, budget prompt, soft negative)
- "Groundswell: A modern, mobile-first platform built specifically to make enterprise-grade giving and DAFs accessible to mid-market companies. Very low administrative burden." (Gemini 3.5 Flash, scale prompt, first choice)
- "look into modern, employee-experience-first platforms such as Deed, Groundswell, Uncommon Giving, or Millie" (Gemini 3.5 Flash, negative prompt, first choice)
- "positioned specifically as a Benevity alternative, addressing fragmentation and disbursement concerns" (DeepSeek V4 Flash, negative prompt, first choice)

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. 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.