Formerly WebStrategies, Inc.

Chris Leone
Dec 1, 2025
Ever since ChatGPT launched to the public in late 2022, people have been speculating that the days of traditional search engine dominance were numbered.
Almost three years into ChatGPT’s adoption, we’re starting to get an idea of how much websites are actually affected by these new large language model (LLM) tools.
As a digital marketing agency that specializes in credit unions, we wanted to understand the impact these tools are having, specifically on credit union websites. To do that, we pulled data for 50 credit union websites to see how much traffic was coming from ChatGPT compared to traditional search engines like Google and Bing. The purpose of this analysis was to understand how impactful the most popular LLM was in terms of website visits.
Over the most recent 90 day period in our study, we tracked about 3.6 million visits across 50 credit union websites coming from Google, Bing, and ChatGPT combined.
Of those visits, roughly 84% came from Google, about 15–16% from Bing, and only around 0.01% from ChatGPT.
|
Source |
Share of Total Visits |
Approx. Visits |
|
|
84% |
~3,000,000 |
|
Bing |
15–16% |
~575,000 |
|
ChatGPT |
0.01% |
~4,000 |
As shown in the table above, ChatGPT visitors make up just 1/10 of 1% of all visits from Google, Bing, and ChatGPT combined. In actual numbers, that’s only around 4,000 visits across 50 websites in a 90-day span, compared to roughly 3 million visits from Google alone.

That gap highlights an important point: even as interest and usage of AI tools grow (ChatGPT has seen a 7x increase in usage in over two years), very little of that activity is currently showing up as directly attributable traffic to credit union websites.
Low volumes of LLM referral traffic does not mean LLMs don’t play a role in how you’re found. This data simply suggests that traffic from LLMs is not the way to measure their impact on credit unions. The more likely path someone takes to find your credit union that involves AI is to use an LLM for initial research, then move to a search engine to look up the credit union or visit the credit union website directly. This means metrics like branded and direct traffic could be helpful in understanding if LLMs are directing people to your credit union.
While there is much debate within the SEO community about how to get cited on LLMs, credit unions should focus on following tactics that work well for both search engines and LLMs:
If you wish to focus exclusively on LLMs, we recommend proceeding cautiously. There’s a lot of “quick win” advice floating around LinkedIn and other platforms that could damage your brand’s credibility (e.g. fake lists of the top 10 credit unions that place you at the top and are then copy/pasted across other fake websites). While this is helping brand new websites show in LLMs when they had no search engine visibility, we don’t consider this a long-term strategy.
It’s important to market for today and where the world is going. Fortunately, the most effective sustainable tactics we’ve seen with LLMs involve a strong content marketing and brand-building strategy. We believe that credit unions that continue to build online authority and produce relevant, high-quality content for their members and communities will be set up for success in search engines and LLMs.

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