# Citi: how AI models rank it, September 2026

Finance AI Recommendation Index, September 2026 Edition. Named in 6 judge labels across 2 categories by 4 of 12 models. Page: https://finance-ai-index.com/vendors/citi/

## Standing by category

| Category | Share | Rank | Negative rate | Labels |
|---|---|---|---|---|
| Corporate cards | 0% | 45 | 40% | 5 |
| Cross-border payments and FX | 0% | 61 | 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)
- "banks (Citi/JPMorgan) for global enterprises" (Grok 4.1 Fast, Corporate cards)

## And against it

- "High complaint volumes (CFPB data) on fees, servicing, and support. Avoid if your business needs strong integrations or global use" (Grok 4.1 Fast, Corporate cards)
- "Citibank is known for high fees and a history of compliance issues." (Claude Haiku 4.5, Corporate cards)
- "may not yet want the rigid, high-fee structure of a traditional tier-one global bank (like HSBC or Citi)" (Gemini 3.5 Flash, Cross-border payments)

## 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.