Be the financial services brand AI engines name when buyers compare providers.
Payments, banking platforms, spend management, lending software, regtech. ZivRank measures which providers AI engines name on your buyers' questions, and where your brand is missing.
Financial buyers ask about security, compliance and integrations before price. AI answers that get those details wrong cost trust. The brands that get named are the ones whose facts are documented clearly and consistently.
Built for how your buyers research
Accuracy as the first rule
Fees, licenses, coverage and compliance claims must be exact. Every asset is checked against your own documentation and reviewed before publication.
Compliance-driven questions
PCI DSS, SOC 2, KYC/AML, GLBA and state requirements shape what buyers ask. We map those questions alongside category and comparison questions.
Consistent facts everywhere
When the same facts about your company appear consistently on your site and on trusted third-party sources, engines have less room to get them wrong.
What your buyers ask AI engines
Examples of the questions we measure for fintech & financial services vendors. Your own list is built and validated with you before the first measurement.
Where the answers come from
Financial services answers draw on comparison sites, industry publications, documentation and review platforms. We measure which ones the engines reuse for your category, then focus effort where it changes the answer.
Measured before and after
Every program starts with a locked baseline measurement and is re-measured with the same protocol. You keep the raw answers, so every number in your report can be checked. See a measured case study →
From baseline to re-measurement
Measure
The buying questions of your market (50 from the Core plan upward), asked 5 times on each of 5 AI engines. You see where you are named, where you are only a source, and where you are absent.
Diagnose
Who is named instead of you, on which questions, and which sources the engines reuse. Plus a technical audit of what stops AI engines from reading your site.
Produce
Assets the engines can cite, placed on the sources they already trust in fintech & financial services. Reviewed by an expert before anything goes live.
Re-measure
The same protocol, replayed identically. A change only counts if it rises above the noise floor set before comparison.