Increase your bank or credit union's visibility in AI search
MetriFi's GEO tool helps you track and improve your AI visibility. Monitor how often your brand is mentioned by LLMs like ChatGPT, then generate the right content to increase your visibility.

220+
Teams on MetriFi GEO
14,351+
Brands tracked
58,998+
Responses analyzed
What is generative engine optimization?
Generative engine optimization, usually shortened to GEO, is the practice of structuring an institution’s website and published content so that AI assistants such as ChatGPT, Gemini, Perplexity and Google’s AI Overviews name and cite that institution when they answer a question. For a bank or credit union, that means being named when someone asks an AI assistant where to open a certificate of deposit, refinance an auto loan, or find the best savings rate in their town.
Do more than track your AI visibility. Increase it.
Track how often AI mentions your brand—then go beyond just tracking: MetriFi GEO analyzes why competitors are showing up where you're not, helps you generate content that will increase your visibility, and tells you where to publish it.
Track AI brand mentions
See how often your brand shows up in AI responses overall and for individual prompts.
Rank against competitors
Rank your visibility against competitors to see who’s winning attention and where you stand.
Track regions or products
Set up groups of prompts that track visibility for specific locations, products, and offerings.
Understand visibility drivers
MetriFi GEO analyzes AI responses and tells you which sites and types of content are showing up.
Get AI recommendations
AI recommends how to increase visibility, including what content to create and where to publish it.
Generate AI-ready content
Use MetriFi GEO to generate and edit content that's optimized to increase your visibility for targeted prompts.
How generative engine optimization differs from SEO
Two different jobs, and only one of them has a fourth place. They overlap, since a page no crawler can reach will not be cited either, but they are not the same job.
Search engine optimization
SEO competes for a position in a list of links. The reader still chooses, still clicks, and still lands on your page. Ranking fourth is worth less than ranking first, but it is a long way from worthless. The question SEO asks is whether a page can rank.
Generative engine optimization
An AI answer works differently. The assistant reads a set of sources and writes one synthesized response, naming a few institutions inside it. A synthesized answer has no fourth position to occupy. Either it names you or it does not, and if it does not, the reader may never learn you were an option. The question GEO asks is whether a page can be read, quoted and attributed.
How we measure whether it worked
Every recommendation runs as an experiment, with a baseline before the work and a measurement window after it. This is how we find the truth, instead of guessing at what might work.
Before the work: the baseline
We track how often AI assistants name your institution in answers to the questions your members actually ask, and record where you stand before anything changes. That reading is the benchmark, and it is frozen before the work begins so there is something honest to compare against later.
After the work: the measurement window
Once the work ships we re-run the same questions across a set measurement window and compare the two. We publish what the measurement shows, including the results that did not go the way we expected, and we say plainly what we could and could not attribute. Samples are small, so we treat a single high reading as a direction rather than a constant.
See how we measured our own GEO experiment
Data-driven results
Research is the key to our success. View our GEO research.
Get the insights to boost your AI visibility
Do you know how often you're showing up in AI search results? Our GEO tool, tracks your visibility score and helps you take actions that move the needle.
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Rates effective as of: October 11, 2026
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