How do buyers use AI to evaluate fintechs?

Credit unions, banks, and partners ask AI assistants to compare vendors in a category before they shortlist anyone. If the assistant leaves you out or describes your product wrong, you never make the list.

What does the month one baseline deliver for a fintech?

How AI describes you against your category, where you are missing or misrepresented, how you compare to competitors, and a ranked plan to get shortlisted. Built for a go-to-market decision.

Do you help with the credit union and bank channel specifically?

Yes. Atlas Instinct is led by an operator who spent years inside a credit union deciding which fintechs to buy, so the plan is built around how these institutions actually evaluate partners.

For fintechs

Win the credit union and bank channel before your competitor does.

Atlas Instinct shows you how AI assistants and your buyers describe your fintech right now, then hands you a ranked plan to be the option they shortlist.

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230+ financial institution websites reviewed
Led by Kevin Farley, buyer-side operator
Ongoing program, scoped to a decision

The problem

Credit unions, banks, and partners vet fintechs with AI before they ever take a call. If ChatGPT or Perplexity describes your category and leaves you out, or gets your product wrong, you are cut before the first meeting. Your buyers also expect you to be AI-ready yourselves.

What the month one baseline delivers

The month one baseline is the first month of an ongoing program. We check how AI answer engines describe you against the competitors in your category, where you are missing or misrepresented, and the changes that get you shortlisted. You get a ranked plan built for a go-to-market decision.

What happens after

You get the findings and a ranked action list, written in plain words.
We walk through them together on a short call.
Your team runs the plan, or Atlas does the work. Your call.

Nearly 600

evaluations across 230+ financial institution websites. Led by an operator who sat on the buyer side inside a $1.6B credit union and knows how institutions pick fintechs. See the benchmark.

Proof placeholder: one fintech result Add one approved before and after result or a short quote from a fintech here. Nothing is invented. See the note I left you for what I need to publish this.

See where AI puts you in your category.

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