2026 U.S. Commercial Banking AI Search Visibility Study: Measuring Total Brand Omission Across Megabanks and Super-Regional Banks on ChatGPT, Gemini, Perplexity, and Claude (Zenodo (CERN European Organization for Nuclear Research))

Summary

• Super-Regional banks recorded a 0.0% visibility rate across all 192 evaluations for pure rate-driven retail savings, money market, and CD queries.p.9
• The study evaluated 25 high-intent, dollar-denominated queries across four generative AI search platforms: ChatGPT, Gemini, Perplexity, and Claude.p.3

Key insights

1. Audited commercial banks suffered an aggregate 91.4% Total Brand Omission rate across 1,200 evaluations on frontier AI search engines.p.8
2. Super-Regional banks experienced a 100.0% blackout across all six institutions on rate-driven savings, money market, and CD deposit queries.p.9
3. Super-Regional 3 achieved 22.0% visibility by publishing machine-readable, dedicated product pages for SBA loans and physician mortgages.p.14
4. Vague marketing prose on standard mortgage products caused AI models to displace banks with government-sponsored agency programs like Fannie Mae.p.14
5. Commercial banks were virtually erased on consumer auto and marine loan queries, ceding recommendations to credit unions and specialty lenders.p.14
6. Hiding promotional rates inside PDF rate sheets and zip-code popups prevents AI retrieval pipelines from reading bank product data.p.14
7. Traditional search engine optimization fails to prevent AI brand omission because LLMs require machine-verifiable semantic relationships rather than blue link clicks.p.15