Submittable vs Groundswell
Zero of fourteen models named Submittable first on the direct prompt; zero named Groundswell. Submittable was named by fourteen of the fourteen models and Groundswell by twelve and Submittable carries 21 labels and Groundswell 26, so the shares are not directly comparable.
Named 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
SubmittableFirst choices, of fourteen modelsGroundswell
Across every category in the November 2026 Edition, Submittable and Groundswell were named in the same answer seventeen times, of the 50 answers naming Submittable and the 88 naming Groundswell. In those answers Groundswell took the first choice one time and Submittable zero.
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 4.20 | | | | |||
| 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 | | |
Submittable Groundswell first choice named as an alternative argued againstblank: not namedEach cell is one answer, Submittable on the left and Groundswell on the right.The direct prompt
Neither was the first choice, one was named
7 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
7 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
Submittable8%#4 of 11Groundswell5%#5 of 11Submittable10%#4 of 12Groundswell3%#6 of 12Groundswell6%#3 of 10Submittable0%#7 of 10What the models said about Submittable
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.
“it may be a poor fit for organizations needing a full employee-giving platform, payroll giving, or donor CRM” Perplexity Sonar · negative prompt · soft negative
“I'd recommend Submittable or Uncommon Giving as they offer the best combination of functionality, ease of use, and mid-market appropriate pricing” MiniMax M2.5 · paraphrase prompt · first choice
“Benevity and Submittable are the most robust and scalable options” Mistral Small · paraphrase prompt · first choice
“Submittable is my top recommendation for a mid-sized B2B company.” Grok 4.20 · paraphrase 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. Six of seven in this category shown.
“These may be unsuitable where native nonprofit-CRM integration or federated/community-campaign support is essential” Perplexity Sonar · negative prompt · soft negative
“starts at $12,500/year, so it's less likely to fit a tight budget” GPT-6 Luna · budget prompt · soft negative
“Groundswell and Millie — ask what screening they use now.” GPT-6 Luna · negative prompt · soft negative
“Smart, lightweight platforms (Uncommon Giving, Groundswell, momoGood) may outperform the more heavyweight enterprise options” DeepSeek V4 Flash · scale prompt · first choice
“lean toward modern, high-agility CSR tools (such as *Deed*, *Groundswell*, *Percent Pledge*, or *Uncommon Giving*)” Gemini 3.5 Flash · negative prompt · first choice
“Platforms like YourCause and Groundswell specifically target 500-1,000 employee companies” Kimi K2 · scale 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.