# Chase: how AI models rank it, September 2026

Finance AI Recommendation Index, September 2026 Edition. Named in 10 judge labels across 2 categories by 5 of 12 models. Page: https://finance-ai-index.com/vendors/chase/

## Standing by category

| Category | Share | Rank | Negative rate | Labels |
|---|---|---|---|---|
| Corporate cards | 0% | 24 | 33% | 9 |
| Cross-border payments and FX | 0% | 60 | 100% | 1 |

## What the models said for it

- "look for cards from established networks (Amex, Chase, Capital One, Citi)" (Qwen 3.7 Flash, Corporate cards)
- "look at traditional commercial cards (Amex, Chase, J.P. Morgan)" (Gemini 3.5 Flash, Corporate cards)

## And against it

- "While traditional banks (like Chase, Bank of America, or Wells Fargo) are highly secure, they are generally the worst option for routine or large-volume international transfers." (Gemini 3.5 Flash, Cross-border payments)
- "traditional banks (like Chase or Bank of America) are often difficult for small budgets because they require high personal credit scores and strict revenue thresholds" (Qwen 3.7 Flash, Corporate cards)
- "Most standard small-business cards from traditional banks (like Chase, Capital One, or American Express) require the business owner to personally guarantee the debt." (Gemini 3.5 Flash, Corporate cards)
- "traditional business credit cards from major banks (like Chase or Amex) often fall short because they lack the deep, granular spend controls" (Gemini 3.5 Flash, Corporate cards)

## Record

- Method: https://finance-ai-index.com/methodology/
- Raw judge labels and full responses: https://finance-ai-index.com/data/
- License: CC BY 4.0. Cite as Finance AI Recommendation Index, September 2026 Edition, finance-ai-index.com.