Signals from the Field

You may already know how your credit union ranks on Google, but what happens when a prospective member doesn't use Google at all and instead asks ChatGPT or Gemini where to get a good auto loan rate? Does your credit union show up in the answer? Is the rate it quotes accurate? For most credit union marketing teams right now, the honest answer is: “We don't know, and we don't have a way to check.”

A few months ago, one of our manufacturing clients closed a $72,000 deal. Nothing unusual about that on its own, B2B sales cycles for industrial equipment run long, and large deals happen. What made this one worth paying attention to was where it started.

There's a line going around SEO circles right now: "Good SEO is good GEO."

Geear's team is heading to UNBOUND (formerly INBOUND) in Boston this September, and we pulled our full list of sessions against one question: what actually matters for a credit union or community bank marketing team right now. Here's where we landed, ranked, with the reasoning behind each pick.

It was recently announced that LLMs (e.g. ChatGPT, Gemini, Claude) will begin adding an invisible watermark to AI-produced content. Marketers immediately started to wonder if this watermarked content would struggle to rank in search engines, get cited in LLM responses, get suppressed in social media algorithms, or be met with any other type of penalty.

Quick answer: most credit unions see efficiency-driven ROI (cost savings, automation) within 4-6 months, and revenue-driven ROI (loan growth, cross-sell) within 7-12 months, assuming proper data integration and onboarding support from the start. The exact timeline depends on your institution. This is because credit unions vary widely in size, tech stack, and internal bandwidth, so a single universal number isn't realistic. Here's the pattern we most commonly see, phase by phase.

At Geear, we’ve done over 60+ HubSpot implementations and data integration projects with credit unions. The majority of these integrations go smoothly. The data lands in HubSpot as expected in the expected timeframe. But, as is the case with many large-scale data migrations, issues can arise causing the integration to take longer than you’d hope or expect. Our years of experience have exposed a trend. And while most attention is usually placed on the technology used in the integration, we’ve found that organizational alignment is the most common reason integrations stall or fail altogether.

Picture this: a potential member opens ChatGPT and types, "What's the best way to finance a used car?" ChatGPT gives its answer. And just below that answer, in a clearly labeled box, sits a sponsored ad. OpenAI began testing ads in ChatGPT for U.S. users in February 2026, and by May, it had opened an Ads Manager that lets businesses of nearly any size create campaigns directly.

Let's imagine this scenario.  A member opens a 48-month auto loan in March. Makes every payment. In month 30, she logs in to mobile banking more frequently than she has in the past two years. Her direct deposit went up. She's started making transfers to savings. She could just appear to be an active member in good standing. However, consistent payments throughout a loan term, increased engagement, and income growth are fairly reliable indicators that she's approaching a point at which a new financial decision is imminent. Maybe a vehicle upgrade. Maybe a home purchase. Maybe a HELOC to finish a renovation she's been putting off.

Google Marketing Live is Google’s annual advertising event where it unveils new features, products, and platform updates across its advertising ecosystem. It’s one of our team’s most anticipated events of the year, not because every announcement changes how we run campaigns immediately, but because it signals where the platform is heading. Coming out of the event and taking a couple of weeks to digest all of the announcements, Geear’s approach is to begin testing new features deliberately and roll them out for clients in a way that is thoughtful and backed by data, not hype.