We read 676 credit unions across every US state and DC to answer one question: when someone asks an AI model where to bank, does your institution come up. On July 6, 2026, we ran that read for the first time as a standing index. Most credit unions are not part of the conversation when an AI model makes a recommendation, and the typical institution shows up far less than half the time it would be a relevant answer.
This is the first edition of the Atlas Instinct AI Visibility Index for credit unions. We built it because we kept getting asked the same question by credit union leadership teams: are we actually visible to the AI tools our members are starting to use instead of a search bar. Now there is a read attached to the answer.
The national picture
Most credit unions are not part of the conversation when AI models make a recommendation. The field is uneven: a small number of strong performers sit well ahead of a long tail that barely registers. The more useful comparison for most institutions is not the national one. It is the gap between where you probably are and where the best-performing institution in your own state already sits, because that gap shows exactly how much room there is to move.
Appearance matters as much as position. The typical credit union we tracked shows up less than half the time it would be a relevant answer to give, which means it is absent from the recommendation more often than it is present.
Featured state: Vermont
Vermont posted the highest average visibility of any state in this read, ahead of New Hampshire, Alaska, Rhode Island, and Delaware. Here are the Vermont leaders:
| Rank | Institution | City |
|---|---|---|
| 1 | Vermont Federal Credit Union | South Burlington |
| 2 | EastRise | Williston |
| 3 | North Country | Burlington |
| 4 | Green Mountain | South Burlington |
| 5 | 802 Credit Union | Barre |
| 6 | Heritage Family | Rutland |
Small-state credit unions have an obvious advantage: less competition for the answer slot. Fewer institutions means fewer candidates the model has to choose among. But that alone does not explain why the Vermont leaders surface as reliably as they do. They are also structurally legible: clear product pages, information organized in a way a model can extract without guessing. Less competition gets you into the running. Structure is what wins once you are there.
The surprising finding: famous but invisible
Size and reputation do not reliably translate into AI visibility, and this read makes that concrete. Navy Federal Credit Union, the largest credit union in the country by assets, does not lead its own home state of Virginia. A smaller in-state institution surfaces ahead of it, and PenFed sits well down the Virginia list.
State Employees' Credit Union of North Carolina, the second largest credit union in the United States by assets, does not lead its own state either. Coastal Credit Union and Truliant surface ahead of it, neither close to SECU in size.
Brand equity built over decades, offline, does not automatically transfer to AI visibility. That is a distinct system with its own rules, and this read shows institutions large and small getting caught out by the gap.
What separates the leaders
This read tells us who AI recommends. It does not tell us why on its own, so we pair it with our audit benchmark, a separate instrument that looks at what a site gives AI to work with in the first place. As of July 2026, across the benchmark, structured data is the single most common recommended fix, more than any other action. Accessibility is the weakest category overall, the structure that assistants and screen readers both depend on.
These are two different measurements. The visibility index measures outcomes: whether AI actually recommends you. The audit benchmark measures inputs: whether your site gives AI anything usable to work with. We do not collapse the two into one number, but the pattern between them is consistent with what we see across engagements: institutions with legible, well-structured, accessible sites tend to show up more often and rank higher when they do.
Methodology
This is the sixth read in our ongoing tracking, published July 6, 2026, and the first we are releasing as a standing public index. The read runs on Atlas Instinct's proprietary AI visibility audit platform. We asked an AI model with live web search for credit union recommendations across all 50 states plus DC, using a consistent prompt pattern per state. The visibility read blends how often an institution appears across those prompts and how prominently it is positioned when it does. Appearance is a straight share of relevant prompts where the institution showed up at all.
This is the first edition, so there is no month-over-month movement to report yet. Starting with the next edition, we will track which institutions moved up, which moved down, and in what direction. Every read runs against the same model class and the same question format so the comparison holds over time. We will note if either changes.
Want to see where your own institution stands before an AI model decides for you? Request your state's full table and we will send the institution-level detail for your market.
Get your full report
The national picture and Vermont's leaders are the free layer. Full 50-state tables, institution-level detail for all 676 credit unions, and category breakdowns are available on request. Request your state and we will send you the full picture, including where your closest competitors stand.
Start a conversation with our team, or request your snapshot to see exactly where your credit union stands today.