Hosted by top 5 banking and fintech influencer, Jim Marous, Banking Transformed highlights the challenges facing the banking industry. Featuring some of the top minds in business, this podcast explores how financial institutions can prepare for the future of banking.
Not on Google. Invisible inside ChatGPT, Claude, and Gemini, where your customers now ask which bank to choose, which credit card to trust, and which financial app is worth their time. The AI gives them three names. Yours may not be one of them.
Jim Marous breaks down the eMarketer AI Visibility Index data, the five specific moves a bank marketer can start this week, and the Monday Morning Test every banking leader should run before their next executive meeting. Featuring data from Tiffani Montez at eMarketer and David Evans of The Financial Brand.
Not on Google. Invisible inside ChatGPT, Claude, Gemini, or Perplexity. The AI tools that your customers now use to make financial decisions.
Picture a consumer in your market last week. They did not search. They probably asked ChatGPT or another AI tool one question: where should I bank? The answer came back fast and very confident. It named three institutions and explained exactly why. Yours was not even the third choice. In fact, it may not have been mentioned at all.
This is not a rare case. These systems increasingly give a direct recommendation, not a list of links. There's the recommendation and there's everything that it left out.
Here's the part that should keep you up at night. You'll never know that it happened. There's no lost search report for a question that never reached you.
Consumers are no longer just searching for information. They're asking AI systems who they should trust.
My friend David Evans at The Financial Brand put it really simply. Search is no longer about clicks. It's about visibility inside AI-generated answers. If your institution is not part of those answers, you may disappear entirely from consideration before you realize discovery has changed.
For 20 years, the discovery question in banking was rather simple. Can consumers find us when they search? We got good at that question. We bought the keywords, we optimized the pages, we tracked the rankings. That question is now the wrong question.
The new question is this: when a consumer asks an AI tool for advice, does it recommend us?
A search engine hands a customer ten links and lets them choose. An AI assistant hands them an answer.
More than 250 million people ask ChatGPT a personal finance question every month. The most progressive financial institutions are restructuring how they present themselves to get ranked higher by AI engines.
Now, let's put real numbers against that. EMarketer this year launched an AI Visibility Index for financial services. It analyzed thousands of ChatGPT responses across nine banking categories. In fact, I just interviewed Tiffani Montez, who leads the banking practice at EMarketer, and she shared some sobering numbers.
In the credit card category, all five of the most recommended brands were largely legacy issuers. Capital One alone was named in 62% of the answers. But under the buy now, pay later category, it completely flipped. Fintechs held all five spots. In fact, Klarna is recommended in roughly nine out of ten queries.
And here's the line that matters most for community banks and credit unions. EMarketer found that seven of the top ten brands were packed within a narrow three-point range. That's a tight pack where a small shift in the data can move your rank up or down almost instantly.
You don't need a consultant to find out where you stand. You only need a few minutes. Open ChatGPT. Open Claude. Open Gemini. Ask each one the questions your real customers are asking. Maybe it's the best bank for a small business in your city. Maybe it's the most trustworthy credit union for first-time homebuyers. Maybe it's which is offering the best savings account rate.
Then read the answers the way a customer would. Are you named? Is the description accurate? Is the rate current? Is a competitor placed above you in language you would never have chosen?
Most bank leaders run this test and wonder what they can do today. The discipline that answers this has a name: Generative Engine Optimization, or GEO.
And the first mistake most banks make is thinking that you can treat it like SEO. It's just a new label. SEO earns a ranking on a page of links. GEO earns a mention inside an answer.
David Evans from The Financial Brand framed the stakes plainly. Searches on large language models are growing around 150% year over year. Google searches only about 20%. In financial product searches, third-party publisher content shows up in the AI answer about 60% of the time. Two publishers alone — NerdWallet and Bankrate — account for roughly 15% of every source cited.
The AI is often not quoting your website. It's quoting the people who write about your website.
So here are five specific moves any bank marketer can make starting this week.
Number one: Run the visibility audit and write it down. Do the test we discussed, but turn it into a baseline. Note every answer. Note who outranks you and what the AI may have gotten wrong. You cannot fix what you have not measured.
Number two: Find the lists you're missing from. If a consumer wants the best account, the AI assembles a comparison from articles that already exist. Find the best-of lists in your market. See who's on them and get your accurate, current information in front of those publishers.
Number three: Fix the facts so a machine can actually use them. AI ignores vague marketing language. "Competitive rates" and "exceptional service" give you nothing. Publish the actual rate, the fee, and the eligibility terms in plain text, and structure data on your pages.
Number four: Make your institution consistent everywhere it's described. Know your North Star and build a picture by reconciling your own site, third-party directories, and review platforms. If these sources disagree, the model is losing confidence and leaves you out.
Number five: Optimize for each platform, not just one. Each AI tool pulls sources differently. ChatGPT leans one way. Perplexity and Copilot lean far harder on third-party publishers. Test each and treat them as separate channels. You want to rank high on all of them.
One question decides whether any of this actually gets done: who owns AI visibility at your institution?
At most banks and credit unions today, the honest answer is no single person, no single department. SEO sits with marketing, product details sit with the product team, rates sit with finance, and compliance reviews all of it. And the AI answer a customer reads pulls from every one of those silos at once, with no single person accountable for the result.
GEO does not need a new department. It needs a single owner — one person, or a small group — responsible for testing how you show up, tracking it over time, and coordinating the fixes. Without that owner, GEO becomes everyone's concern but nobody's daily work.
EMarketer found that the leading category is so fragmented that no brand has broken away. Categories are still up for grabs, rewarding the institutions that move now.
The institutions that win the next decade will not be the ones with the best answer or the biggest budgets. They'll be the ones who made sure they were in the answer to begin with.
If you liked what we discussed today, share it with others in your organization. Do something about it, and continue to keep track of our Insight Videos as we share more and more ideas with you as to how to make banking better. Thank you.
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