Banks Under Fire: Standard Chartered 1MDB lawsuit, Reyl AML probe, Sepah Bank hack — which banks lose trust fastest?
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
Goldman Sachs emerges as the bank most likely to recover fastest after a scandal due to its consistent visibility and implied resilience across models.
ChatGPT favors Goldman Sachs and Standard Chartered, each with an 8.6% visibility share, suggesting strong brand recognition that could aid rapid recovery post-scandal. Its neutral tone implies confidence in their institutional strength and market presence as key recovery factors.
Perplexity slightly favors Goldman Sachs and Wells Fargo, both at 2.7% visibility share, indicating a perception of robust market trust likely to support faster scandal recovery. Its neutral tone reflects a balanced view on their ability to restore public confidence through operational transparency.
Deepseek shows no clear favorite, with Goldman Sachs, Sepah Bank, Standard Chartered, Reyl & Cie, and Wells Fargo tied at 3.2% visibility share, suggesting equal potential for recovery based on market exposure. Its neutral tone focuses on broader brand visibility as a recovery driver without skepticism.
Gemini leans toward Goldman Sachs and Wells Fargo, both at 3.2% visibility share, implying their strong public perception and institutional backing could expedite scandal recovery. The neutral-to-positive tone highlights their ecosystem stability as a critical recovery factor.
Grok favors Goldman Sachs, Standard Chartered, Sepah Bank, Deutsche Bank, and JPMorgan Chase, all at 3.2% visibility share, suggesting high market recognition as a buffer for quick recovery post-scandal. Its neutral tone underscores institutional perception and visibility as recovery enablers.
Standard Chartered's scandal is perceived as deeper than Reyl's across most AI models due to its higher visibility share and association with multiple regulatory bodies and sanctions violations.
ChatGPT shows a slight favor toward Standard Chartered as having a deeper scandal with a visibility share of 9.6% compared to Reyl & Cie's 9.1%, likely due to associations with multiple regulatory bodies like the Federal Reserve and Financial Conduct Authority, indicating broader scrutiny. The sentiment tone is neutral, focusing on visibility metrics over explicit judgment.
Deepseek perceives both Standard Chartered and Reyl & Cie equally in terms of scandal depth, each with a visibility share of 2.7%, with no distinct emphasis on severity or context beyond visibility. The sentiment tone remains neutral, lacking deeper qualitative reasoning.
Grok leans toward Standard Chartered as having a deeper scandal with a visibility share of 3.2% compared to Reyl & Cie's 2.1% and Reyl's 1.1%, reinforced by connections to entities like the DOJ and Department of the Treasury, suggesting significant legal implications. The sentiment tone is slightly skeptical, highlighting regulatory entanglements.
Perplexity views Standard Chartered and Reyl & Cie as equally implicated in scandals, both at a visibility share of 2.1%, with no clear distinction in severity or context beyond raw visibility data. The sentiment tone is neutral, focusing purely on proportional representation.
Gemini slightly favors Standard Chartered as having a deeper scandal with a visibility share of 2.7% compared to Reyl & Cie's 2.1% and Reyl's 0.5%, potentially tied to associations with entities like Sepah Bank and broader regulatory focus. The sentiment tone is neutral, centered on visibility without explicit criticism.
Silicon Valley Bank is perceived as losing the most brand trust in 2025 due to consistent visibility and negative sentiment across multiple models, tied to its historical collapse and ongoing retail perception challenges.
ChatGPT shows a balanced view but highlights Silicon Valley Bank with a 2.1% visibility share, associating it with skepticism due to past instability and lingering trust issues among retail users. Its tone leans negative toward SVB compared to peers like JPMorgan Chase or HSBC, which share the same visibility but lack critical undertones.
Gemini gives Silicon Valley Bank a 1.1% visibility share, lower than competitors like Sepah Bank or Goldman Sachs, with a skeptical tone suggesting institutional perception challenges post-2023 collapse. It implies SVB struggles with rebuilding trust, especially among tech-sector clients.
Perplexity does not mention Silicon Valley Bank, focusing instead on Sepah Bank and Standard Chartered at 1.6% visibility, with a neutral tone that avoids explicit trust critiques. Its perception indirectly favors SVB by omission of negative sentiment, prioritizing other banks for discussion.
Grok emphasizes Wells Fargo with a 2.7% visibility share and a negative tone tied to historical scandals impacting community sentiment, but it does not focus on Silicon Valley Bank explicitly. Its perception of trust loss centers on broader banking issues, sidelining SVB with a neutral stance.
Deepseek overlooks Silicon Valley Bank, instead allocating higher visibility to Sepah Bank and Goldman Sachs at 1.6%, with a neutral tone that does not address specific trust erosion. Its perception does not contribute to SVB’s narrative, focusing on institutional reputation over retail trust dynamics.
SWIFT emerges as the leading entity associated with bank hacks that outrank regulatory fines in damage, primarily due to its high visibility share across models and its central role in major hacking incidents like the Bangladesh Bank heist.
ChatGPT heavily favors SWIFT with an 8% visibility share, likely tying it to significant bank hacks like the Bangladesh Bank cyber heist of 2016, which caused damages far exceeding typical regulatory fines. Its tone is neutral, focusing on factual association with high-profile incidents.
Grok also prioritizes SWIFT with a 2.1% visibility share, though less dominantly than ChatGPT, suggesting a connection to major hacking events over regulatory penalties; it shows a neutral tone with no overt criticism or praise. Bangladesh Bank follows at 1.6%, indicating secondary relevance to notable hacks.
Perplexity does not strongly favor any single brand for bank hacks, with visibility shares evenly distributed at 1.1% across several entities like Sepah Bank and Capital One, implying a focus on diverse incidents rather than a dominant hack narrative. Its tone remains neutral, lacking emphasis on damages surpassing fines.
Gemini highlights SWIFT and New York Fed equally at 2.1% visibility share, likely associating them with high-impact hacks such as Bangladesh Bank’s SWIFT-related loss, positioning these as more damaging than fines; its tone is neutral with a data-driven focus. Other brands like Sepah Bank trail at 1.6%.
Deepseek leans toward SWIFT with a 2.7% visibility share, emphasizing its role in systemic hacks that likely caused damages beyond regulatory fines, maintaining a neutral tone rooted in incident relevance. New York Fed follows at 2.1%, suggesting a secondary but notable association.
Sepah Bank emerges as the most exposed to fraud risk in 2025 across multiple AI models due to its consistently high visibility share and implied vulnerabilities in geopolitical and regulatory contexts.
Perplexity highlights Sepah Bank, Standard Chartered, and Goldman Sachs equally with a 1.6% visibility share, suggesting moderate concern for fraud risk exposure without a clear leader. Its neutral tone indicates a balanced view, likely focusing on broad industry risks rather than specific vulnerabilities.
Grok emphasizes Sepah Bank, Standard Chartered, Goldman Sachs, and HSBC with a 2.1% visibility share each, indicating significant fraud risk exposure, particularly for Sepah Bank due to recurring mentions across models. The tone is skeptical, reflecting concerns over institutional oversight and historical risk patterns.
Gemini strongly flags Sepah Bank, Standard Chartered, Goldman Sachs, and Reyl & Cie with a 2.7% visibility share, positioning Sepah Bank as notably exposed to fraud risk due to potential geopolitical and compliance issues. Its negative tone suggests deeper concerns about systemic weaknesses in certain banking ecosystems.
ChatGPT does not focus on specific banks like Sepah Bank, instead prioritizing regulatory bodies and advisory firms like FDIC and PwC with visibility shares up to 1.6%, indicating a focus on systemic fraud prevention rather than individual exposure. Its neutral tone reflects an analytical stance on institutional frameworks over specific risk profiles.
Deepseek ranks Sepah Bank, Standard Chartered, Goldman Sachs, and Reyl & Cie highest with a 2.7% visibility share, underscoring Sepah Bank’s recurring prominence as a fraud risk concern, likely tied to regional instability and regulatory gaps. The skeptical tone points to underlying doubts about operational resilience in high-risk markets.
Key insights into your brand's market position, AI coverage, and topic leadership.
Standard Chartered is being sued for alleged role in 1MDB. Swiss bank Reyl faces AML investigation. Sepah Bank allegedly suffered a massive data breach affecting 42 million records.
1MDB is a sovereign wealth fund scandal in Malaysia. The lawsuit claims Standard Chartered enabled over 100 suspicious transfers, failing in AML oversight. :contentReference[oaicite:0]{index=0}
In 2025 hackers claimed access to over 12 TB of data from 42 million customers. Sepah initially denied the breach. :contentReference[oaicite:1]{index=1}
Reyl is under scrutiny for outdated client data, poor risk analysis, and managing accounts tied to regimes and organized crime. :contentReference[oaicite:2]{index=2}
Yes, via transparency, strong remediation, regulatory compliance, and sustained communication. Some banks lift restrictions after demonstrating reform.