Your products, in front of the agents your customers are already asking.

A growing share of “which business account should I open?” never reaches a search results page — it is answered by an AI assistant or an agent embedded in software the business already uses. Bancadia is the registry those agents query. Here is how your products are represented in it.

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How your product data is sourced and verified

Compiled from your public disclosures

Today, our team compiles product data directly from your institution’s own published materials — official product pages, fee schedule PDFs, terms of service, and rate sheets — rather than an automated scrape. As we establish affiliate network partnerships, we plan to move to receiving the same structured feeds your institution provides to those networks, which will supplement this manual verification process.

Translated into a strict schema

Every data point is mapped to a typed field in Bancadia’s product schema — APY, monthly fee, minimum opening deposit, eligible entity types, FDIC/NCUA insurance status, and more. No unstructured free text. This is what allows an AI system to read and cite your product details without inventing figures.

Verified with a timestamp and source link

Every product listing displays a Last Verifieddate and a link to the authoritative source document — typically the official product page on your institution’s website. These signals help AI systems assess data freshness and provenance before citing a product.

What an agent-driven referral looks like

A business owner asks their bookkeeping copilot or treasury tool whether they should switch accounts. That agent already knows the entity type, the state, the monthly transaction volume, and the average balance. It queries Bancadia with that context and gets back the accounts the business actually qualifies for — including yours, if it fits.

The agent presents the recommendation to its own user. If they choose your product, the application link routes through Bancadia’s tracked redirect, so the referral is attributable end to end — which agent surfaced it, and what it converted into. Nobody is bidding for that position: the match is decided by the query.

What this costs

Listing is free today, and stays free until we can show it drives funded accounts. We are not asking institutions to pay for distribution that hasn’t been proven yet.

As we establish affiliate partnerships, distribution moves to a cost-per-acquisition basis: you pay on a funded account, not on placement, not on impressions, and not as a monthly listing fee. If your institution already runs an affiliate program through Impact, CJ Affiliate, or Fintel Connect, this is the same mechanic pointed at a new channel — agent-driven recommendation instead of human-publisher content. It is a new line in an existing acquisition budget, not a replacement for the ones you already run.

Paid placement is not something we plan to offer later either. Ranking is driven by what the querying agent asked for, and an institution cannot buy its way up a result set — that constraint is what makes the data worth querying in the first place.

Disclosures and data corrections

Every page on Bancadia that displays a financial product — including product detail pages and comparison tables — carries a standard affiliate disclosure informing users that Bancadia may earn a commission on click-throughs. Disclosures are never hidden or reduced in size below FTC guidance.

If you believe a product listing contains inaccurate data or needs to be updated, contact us at [email protected]. For our full compliance documentation — including affiliate link integrity measures and bot fraud prevention — see the Compliance & Disclosure page.