Community banks are putting more money into marketing this year. In the Independent Community Bankers of America's 2026 Community Bank CEO Outlook survey, 50.3 percent of respondents said they will spend more on marketing than they did last year and 68.2 percent said they will increase digital efforts specifically. That is the right instinct arriving at an awkward moment. The plumbing underneath digital marketing is being replaced while most banks are still paying for the old fixtures.
Consider what has happened to search. SparkToro's analysis of Similarweb clickstream data found that 68 percent of United States Google searches ended without a single click during the first four months of 2026, up from roughly 60 percent in 2024. AI Overviews now appear on more than one in five searches and when they do, click through rates fall by nearly 60 percent.
Translate that to a bank. The small business owner researching SBA eligibility, the couple comparing construction loan terms, the retiree checking CD rates, all of them are increasingly getting a complete answer without visiting any financial institution's website. The demand did not disappear. The visit did.
This creates a measurement problem and it is the challenge most bank marketing teams are least prepared for. Programs are still evaluated on sessions, bounce rate and form fills. Those numbers will now decline inside programs that are performing well, because a new stage has been inserted into the funnel that produces no analytics whatsoever: the moment an AI engine decides whether your bank is worth mentioning. A marketing director defending next year's budget with a traffic chart is walking into a difficult board meeting.
The deposit picture sharpens the point. Growing deposits was named the top business challenge for 2026 by close to 60 percent of the CEOs surveyed. Rate comparison happens to be exactly the kind of question an AI engine answers cleanly and rate is the one dimension on which a community bank rarely wants to compete. If the conversation is reduced to a number, the bank has lost before anyone reaches the website.
The opportunity sits in the same survey. Nearly three quarters of respondents, 72.8 percent, said their single greatest opportunity in 2026 is differentiating their bank from other financial services firms in their market. That is not a separate initiative from the AI problem. It is the answer to it.
AI engines assemble responses from sources that are specific, structured and verifiable. Vagueness is not penalized so much as ignored. A page promising competitive mortgage rates and friendly local service gives an engine nothing to work with. A page explaining how construction to permanent financing actually works in your county, including timelines, documentation and who underwrites it, is citable. Community banks have spent decades accumulating precisely this kind of knowledge and almost none of it is published.
Three moves follow.
Publish the answers, not the brochure. Every question a lender fields twice a week is a page worth writing: underwriting timelines, documentation checklists, eligibility for local grant and down payment programs, what actually happens after an application is submitted.
Treat local data as infrastructure. Branch listings, hours, service descriptions and reviews feed the systems generating these answers. Inconsistency across locations quietly removes an institution from consideration and nothing in your analytics will tell you it happened.
Rebuild the scorecard. Track how often the bank appears in AI answers for the questions that matter in your footprint, alongside branded search volume and accounts actually opened. Sessions are becoming a poor proxy for demand.
None of this is a vendor problem to be outsourced and forgotten. It is an expertise problem and on expertise community banks are unusually well supplied. The institutions that struggle over the next two years will not be the ones that lack knowledge of their markets. They will be the ones that never got around to writing it down.
