China’s large banks saw NIM drop to ~1.48%, while U.S. banks maintain higher margins under steep yield curves. Who holds pricing power in 2025?
Which brand leads in AI visibility and mentions.
Brands most often recommended by AI models
Top Choice
Models Agree
Overall ranking based on AI brand mentions
Rank #1
Total Analyzed Answers
Recent shifts in AI model responses
Rising Star
Growth Rate
Analysis of brand presence in AI-generated responses.
Brands ranked by share of AI mentions in answers
Visibility share trends over time across compared brands
Key insights from AI Apps comparisons across major topics
U.S. commercial banks are perceived as more flexible in adjusting deposit vs loan rates to preserve margins compared to China’s state banks, due to their market-driven responsiveness and less regulatory constraint as highlighted by most models.
ChatGPT shows a balanced visibility between China’s state banks (Bank of China at 6.7%) and U.S. commercial banks (Wells Fargo at 6.7%), but its higher focus on the Federal Reserve (5.4%) suggests a slight lean toward U.S. banks being more flexible due to market-driven rate adjustments. The tone is neutral, prioritizing institutional frameworks over state control.
DeepSeek exhibits a neutral stance with lower visibility shares across all brands, but a slight edge to the Federal Reserve (3.4%) implies a perception of U.S. commercial banks having greater flexibility in rate adjustments due to regulatory oversight rather than state mandates. Its tone remains neutral, focusing on structural differences.
Grok distributes visibility evenly across multiple U.S. banks (JPMorgan Chase, BoA, Wells Fargo at 2.7% each) and includes diverse regulatory entities like FDIC (2%), suggesting a preference for U.S. commercial banks as more adaptable to rate changes due to competitive market dynamics. The tone is positive toward U.S. institutional flexibility.
Perplexity equally highlights Bank of China and Wells Fargo (2.7% each) but offers minimal focus on the Federal Reserve (0.7%), indicating a neutral perception with no clear preference for flexibility in rate adjustments. The tone is neutral, lacking depth on regulatory or market influences.
Gemini emphasizes multiple Chinese state banks (Bank of China at 2.7%, China Construction Bank at 1.3%) alongside Wells Fargo (2.7%), suggesting a slight tilt toward China’s state banks due to centralized control over rates, though it acknowledges U.S. banks’ presence. The tone is neutral with a focus on institutional control mechanisms.
Bank of China emerges as the leading entity in discussions related to Chinese banks' strategies amid margin compression, primarily due to its consistently high visibility and implied focus on international expansion across models.
ChatGPT shows a clear favoring of Bank of China with an 8.7% visibility share, suggesting a focus on its potential for overseas expansion as margins compress. Its tone is neutral, reflecting a balanced view on risk versus international growth, with high visibility indicating confidence in Bank of China's strategic adaptability.
Deepseek allocates a modest 2% visibility to Bank of China, indicating a cautious stance on its role in overseas expansion versus risk retreat, with a neutral tone. The lower visibility across all brands suggests a skeptical view of Chinese banks’ capacity to aggressively expand abroad under margin pressure.
Grok assigns Bank of China a 2.7% visibility share, tying it with other institutions like Wells Fargo, and adopts a neutral-to-skeptical tone on whether Chinese banks will retreat from risky lending or expand overseas. The inclusion of global rating agencies like Moody’s hints at concerns over credit risks impacting expansion decisions.
Gemini equally favors Bank of China and Wells Fargo at 2.7% visibility each, with a neutral tone that implies a balanced perspective on Chinese banks’ strategies amid margin compression. The data suggests a focus on comparing domestic risk retreat with international competitiveness through global banking parallels.
Perplexity highlights Bank of China alongside Wells Fargo at 2.7% visibility, maintaining a neutral tone on the debate between retreating from risky lending and expanding overseas. Its limited brand scope indicates a focused but undecided stance on the strategic direction under margin pressures.
U.S. banks may lose their margin advantage over Chinese banks if yield curves flatten, as net interest margins are compressed under such conditions, though Chinese banks face similar pressures with different structural constraints.
Grok shows a balanced view with equal visibility for China, Bank of China, Federal Reserve, and Wells Fargo at 2.7%, suggesting no clear favoritism but a nuanced perspective on both U.S. and Chinese banking systems. Its neutral tone indicates a focus on macro factors like yield curve impacts on margins without explicit bias.
Gemini slightly favors Chinese entities with China at 3.4% visibility share over Federal Reserve at 2%, implying a perception that Chinese banks may be less affected by yield curve flattening due to different monetary policy frameworks. Its tone is neutral to slightly positive toward Chinese resilience.
Deepseek prioritizes Bank of China and Wells Fargo equally at 2.7%, with Federal Reserve at 2%, reflecting a balanced view but leaning toward institutional parity in margin pressures from yield curve flattening. Its neutral tone suggests both U.S. and Chinese banks face comparable challenges.
ChatGPT heavily favors Bank of China and Wells Fargo at 8.1% visibility each, with Federal Reserve at 4%, indicating a strong focus on specific institutional impacts of yield curve changes on margins, though it remains skeptical of U.S. banks' ability to maintain advantages. Its tone suggests concern over U.S. banks’ vulnerability.
Perplexity equally represents Bank of China and Wells Fargo at 2.7%, with minimal focus on Federal Reserve or China at 0.7%, indicating a perception that yield curve flattening affects key banks similarly but lacks broader systemic analysis. Its neutral tone avoids strong sentiment on margin advantages.
U.S. banks are more resistant to margin squeeze due to steeper yield curves providing better net interest margin flexibility compared to China's mega-banks with their constrained NIM of ~1.48%. This advantage is consistently reflected across the models' focus on U.S. banking entities.
Deepseek shows a balanced visibility between China (1.3%) and U.S. entities like Federal Reserve and Wells Fargo (2% each), with a neutral tone indicating no strong bias but an implicit recognition of U.S. banks' yield curve advantage as a buffer against margin squeeze. Its focus on both markets suggests a comparative lens on structural differences in NIM resilience.
Perplexity slightly favors Chinese banks with higher visibility for Bank of China (2.7%) over U.S. banks like Wells Fargo (2.7%), maintaining a neutral tone but highlighting China's banking scale. However, it does not explicitly counter the U.S. yield curve advantage, suggesting limited resistance to margin squeeze for China due to lower NIM.
Grok leans toward U.S. banks with significant visibility for JPMorgan Chase (2%) and Wells Fargo (2.7%), adopting a positive tone toward their operational flexibility under steeper yield curves. It perceives U.S. banks as better positioned against margin squeeze compared to Bank of China (2.7%) due to structural interest rate benefits.
Gemini presents a neutral tone with equal visibility for Bank of China and Wells Fargo (2.7% each), focusing on both markets but implicitly aligning with U.S. banks' ability to leverage yield curves for margin protection. Its perception underscores a slight edge for U.S. banks in resisting margin squeeze over China's lower NIM framework.
ChatGPT strongly emphasizes both Bank of China and Wells Fargo (6% visibility each), with a neutral-to-positive tone on their prominence, yet its higher question volume (9) suggests deeper scrutiny of U.S. banks' yield curve benefits. It perceives U.S. banks as more resistant to margin squeeze due to favorable interest rate environments compared to China's constrained NIM.
Chinese banks appear better positioned to offset NIM decline via non-interest revenue compared to U.S. banks, driven by stronger digital payment ecosystems and diversified revenue streams.
Grok shows a balanced visibility between Chinese entities like Bank of China (2.7%) and Alipay (2%) and U.S. banks like JPMorgan Chase (2.7%) and BoA (2.7%), with a neutral sentiment tone. Its perception suggests Chinese banks may have an edge due to integration with digital platforms like Alipay and WeChat Pay, potentially boosting non-interest revenue streams.
Gemini presents a neutral tone with visibility split between Chinese brands like Bank of China (2.7%) and Alipay (2%) and U.S. banks like Wells Fargo (2.7%) and JPMorgan Chase (2%), implying no clear favor. It hints at Chinese banks’ potential advantage through ties to tech ecosystems like Tencent and Ant International, which could drive non-interest income.
ChatGPT leans toward Chinese banks with significantly higher visibility for Bank of China (9.4%) compared to U.S. banks like Wells Fargo (9.4% but tied) and Citi (2.7%), exhibiting a positive tone toward Chinese entities. It emphasizes Chinese banks’ strength in non-interest revenue through robust digital payment adoption via Alipay (3.4%) and WeChat Pay (2.7%).
Deepseek displays a neutral sentiment with equal visibility for Bank of China (2%) and U.S. banks like Wells Fargo (2%), showing no strong preference. Its perception suggests a marginal tilt toward Chinese banks due to ecosystem integration with platforms like Alipay (2%) for alternative revenue generation.
Perplexity remains neutral with equal visibility for Bank of China (2.7%) and Wells Fargo (2.7%), indicating no favoritism. Its limited scope does not highlight specific advantages for non-interest revenue but implies a comparable institutional strength on both sides.
Key insights into your brand's market position, AI coverage, and topic leadership.
The average net interest margin among China’s six largest banks dropped to ~1.48% by end-2024. :contentReference[oaicite:7]{index=7}
Due to policy rate cuts, competition for deposits, and pressure to lower loan pricing in a weak economy.
Often yes — benefitting from steep yield curves and higher lending rates vs deposit costs in many segments.
U.S. commercial banks often have more flexibility in repricing; Chinese banks rely more on policy support.
Fee income, wealth management, non-interest revenue, cross-sell products, overseas investments.