Bright Funds vs Groundswell
Five of fourteen models named Bright Funds first on the direct prompt; three named Groundswell. Bright Funds was named by ten of the fourteen models and Groundswell by eleven and Bright Funds carries 16 labels and Groundswell 20, so the shares are not directly comparable.
Bright Funds
accepted challengerNamed in one category this edition.
Named in one category 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 employee giving and volunteering page.
By framing
Across every category in the October 2026 Edition, Bright Funds and Groundswell were named in the same answer twelve times, of the 26 answers naming Bright Funds and the 86 naming Groundswell. In those answers Groundswell took the first choice four times and Bright Funds one.
Every model, every framing
| Model | DirectBF | ParaphraseBF | ComparativeBF | Budget-constrainedBF | Scale-constrainedBF | NegativeBF |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | BF | | ||||
| GPT-5.4 mini | | |||||
| Gemini 3.5 Flash | BF | BF | BF | BF | BF | |
| Perplexity Sonar | | |||||
| Grok 4.1 Fast | | |||||
| Mistral Small | BF | |||||
| DeepSeek V4 Flash | BF | | | |||
| Llama 4 Maverick | BF | |||||
| Qwen 3.7 Flash | | | BF | |||
| Kimi K2 | | | ||||
| GLM 4.7 FlashX | BF | | ||||
| MiniMax M2.5 | BF | BF | ||||
| GPT-6 Luna | ||||||
| Muse Glimmer 30B | BF |
GroundswellBF first choiceBF named as an alternativeBF argued againstblank: not namedEach cell is one answer, Bright Funds on the left and Groundswell on the right.The direct prompt
Bright Funds first, Groundswell not the choice
5 of 14 modelsGroundswell was named in the answer but not as the choice, or not at all.Groundswell first, Bright Funds an alternative
3 of 14 modelsBright Funds was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
1 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
5 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
Groundswell2%#5 of 11Groundswell7%#5 of 10Groundswell4%#4 of 11What the models said about Bright Funds
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.
“Nonprofit Confusion & Onboarding Friction... Basic and Slow UI” Gemini 3.5 Flash · negative prompt · soft negative
“Bright Funds stands out as the top choice due to its focus on impact, ease of use, and alignment with corporate social responsibility goals” Mistral Small · direct prompt · first choice
“The best employee giving and volunteering platform for a mid-market B2B company is Bright Funds” Llama 4 Maverick · direct prompt · first choice
“I'd suggest starting with Bright Funds or Uncommon Giving” MiniMax M2.5 · direct prompt · first choice
What the models said about Groundswell
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.
“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
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.