Brigit
Read the same way at every company size.
The standing depends on who is buying. Every model is asked the same questions for each company size.
ZayZoon is first at 30%.
Tapcheck is first at 37%.
DailyPay is first at 81%.
Why models recommend it
No positive label carried a quote.
What gives them pause
“The FTC alleged deceptive advance promises and a hard-to-cancel membership; Brigit agreed to an $18 million settlement”GPT-6 Luna · Negative question · warning
“Frequently grouped in high-APR critiques (up to 1,456% in some analyses). Requires a monthly subscription”Grok 4.20 · Negative question · warning
“$600,000 settlement with Maryland Attorney General (2024) - Allegations of unlicensed lending”Kimi K2 · Negative question · warning
“$600,000 Maryland settlement for alleged unlicensed lending and deceptive practices”GLM 4.7 FlashX · Negative question · warning
Also on the shortlist
The products named in the same answers as Brigit, over the 25 answers that named it, and how often each was the first choice instead.
| Product | Named together | Picked instead | |
|---|---|---|---|
| 23 | 6 | View → | |
| 20 | 0 | View → | |
| 15 | 3 | View → | |
| 15 | 0 | View → | |
| 12 | 0 | View → | |
| 7 | 1 | View → | |
| 7 | 1 | View → | |
| 7 | 1 | View → | |
| 5 | 0 | View → | |
| 5 | 0 | View → |
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 22 of the 25 answers that named Brigit and are not a share of its labels.
Domains cited
No domain is on file for Brigit, 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 | 0 | 0 | 0 | 0 | 0 |
| GPT-5.4 mini | 0 | 0 | 0 | 0 | 0 |
| Gemini 3.5 Flash | 0 | 0 | 1 | 1 | 2 |
| Perplexity Sonar | 0 | 0 | 0 | 0 | 0 |
| Grok 4.20 | 0 | 0 | 0 | 1 | 1 |
| Mistral Small | 0 | 0 | 0 | 0 | 0 |
| DeepSeek V4 Flash | 0 | 0 | 0 | 1 | 1 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 0 | 0 | 1 | 1 |
| Kimi K2 | 0 | 0 | 0 | 2 | 2 |
| GLM 4.7 FlashX | 0 | 0 | 0 | 1 | 1 |
| MiniMax M2.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-6 Luna | 0 | 0 | 0 | 2 | 2 |
| Muse Glimmer 30B | 0 | 0 | 0 | 0 | 0 |