Warrant Featured in CU Today: AI Search Webinar for Credit Unions

DURHAM, N.C.--Consumers are increasingly asking AI assistants the money questions they used to type into Google: "where can I get a car loan near me," "best credit union for a first time homebuyer," "where should I open a savings account."

A March 2026 Semrush survey of more than 1,000 U.S. consumers found that 55% now use AI tools to research products at least weekly, and the AI often answers on a credit union's behalf incorrectly or not at all. On July 28, Warrant is hosting a free webinar, "Getting Found Without Getting Fined: AI Search for Regulated Industries," to help credit union marketing teams increase their AI search visibility without creating regulatory risk, the company said.

The one hour session runs Tuesday, July 28 at 2:00 p.m. ET and is open at no cost to marketers and executives. Registration is open at https://www.hellowarrant.com/getting-found-without-getting-fined.

"For many institutions, AI answers leave them out entirely or list outdated rates and incorrect product details. A 13% share of consumers in the Semrush survey said AI had already influenced a financial services purchase, meaning the accuracy of these answers now carries real weight. Credit unions need to be represented correctly in AI search to keep pace," Warrant said.

Austin Armstrong, AI search specialist and founder of Syllaby, will lead the session alongside Austin Carroll, CEO of Warrant. They will cover how generative and answer engine optimization (GEO and AEO) decide which institutions AI names, the few changes that move those results most, and why accuracy in AI answers is now a compliance question, not only a marketing one.

"The shift goes beyond a new set of SEO tactics. Traditional search optimization ranks a page higher in a list of links so a member clicks through to the website. GEO and AEO focus on being the answer itself: named, cited, and described correctly inside the AI's response, frequently with no link clicked at all. Search offered ten options. AI often returns one. An institution that is absent or misdescribed is left out of the decision entirely," Warrant asserted.

Carroll said the accuracy problem is what drew her team to the topic.

"When an AI states the wrong rate or the wrong terms, a member is acting on bad information about your institution," she said. "Getting found and staying accurate are the same problem, andmost teams haven't looked at it yet."

The session includes live examples of how real institutions appear in AI search today, along with steps marketing teams can take without adding compliance risk. A recording goes out to everyone who registers.

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