Millie
Strongest at small business, contested with Uncommon Giving. Ranked 10 of 65 for enterprise buyers.
The standing depends on who is buying. Every model is asked the same questions for each company size.
Ranked first, contested: Uncommon Giving has 18%.
Uncommon Giving is first at 22%. 4 of 14 models made it the first choice when asked directly.
Benevity Enterprise Impact Platform is first at 70%.
Why models recommend it
“Millie supports donation matching programs at any budget level with customizable match ratios and caps”Claude Haiku 4.5 · Budget-constrained question · first choice
“Uncommon Giving and Millie are the top recommendations for companies with limited budgets”Mistral Small · Budget-constrained question · first choice
“the strongest default recommendation is Millie (formerly Groundswell)”Perplexity Sonar · Paraphrase question · first choice
“start with Millie or Uncommon Giving for quick launch and fair pricing”Muse Glimmer 30B · Paraphrase question · first choice
What gives them pause
“These may be unsuitable where native nonprofit-CRM integration or federated/community-campaign support is essential”Perplexity Sonar · Negative question · warning
“Groundswell and Millie — ask what screening they use now.”GPT-6 Luna · Negative question · warning
Also on the shortlist
The products named in the same answers as Millie, over the 108 answers that named it, and how often each was the first choice instead.
| Product | Named together | Picked instead | |
|---|---|---|---|
| 89 | 29 | Compare → | |
| 64 | 5 | View → | |
| 56 | 13 | Compare → | |
| 54 | 2 | Compare → | |
| 33 | 10 | Compare → | |
| 29 | 2 | Compare → | |
| 28 | 3 | Compare → | |
| 23 | 3 | Compare → | |
| 22 | 0 | View → | |
| 18 | 1 | View → |
What the models named instead of Millie →
A side-by-side page exists where both products are among a category's top eight.
How this is measured
Fourteen AI models from 12 labs are asked the same buying questions six ways, for three company sizes. Standings refresh every edition.
Gane sells AI visibility software. No company can pay to change a result.
Read the method →Sources returned with these answers
Fourteen of the fourteen models returned a source list in this edition: five return the pages they cited and nine the search results they consulted. These counts come from 107 of the 108 answers that named Millie and are not a share of its labels.
Domains cited
No domain is on file for Millie, so its own site is not marked.
Pages cited
Pages are listed as the models cited them.
By model
| Model | First choice | Alternative | Mention | Warning | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 2 | 2 | 0 | 0 | 4 |
| GPT-5.4 mini | 0 | 2 | 1 | 0 | 3 |
| Gemini 3.5 Flash | 2 | 1 | 0 | 0 | 3 |
| Perplexity Sonar | 2 | 1 | 0 | 1 | 4 |
| Grok 4.20 | 1 | 2 | 1 | 0 | 4 |
| Mistral Small | 1 | 3 | 0 | 0 | 4 |
| DeepSeek V4 Flash | 0 | 3 | 1 | 0 | 4 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 2 | 0 | 0 | 2 |
| Kimi K2 | 1 | 2 | 0 | 0 | 3 |
| GLM 4.7 FlashX | 0 | 2 | 0 | 0 | 2 |
| MiniMax M2.5 | 0 | 2 | 1 | 0 | 3 |
| GPT-6 Luna | 2 | 2 | 0 | 1 | 5 |
| Muse Glimmer 30B | 1 | 1 | 1 | 0 | 3 |