What AI visibility tools do fintech companies use? What we see in practice
What fintech teams need from AI visibility tools, which prompts and sources matter, and why we run fintech programs on Promptwatch, with security in mind.
We get asked this by fintech marketing leads fairly often, usually phrased as "what do companies like us use?" We cannot name clients, and we will not pretend that a particular company uses a particular tool. What we can share is what fintech teams tend to need and what we run our own programs on.
What makes fintech different
Fintech buyers ask assistants trust questions. Is this provider safe? What are the fees? How does it compare with the bank I already use? Those questions pull in review sites, comparison pages, news and forum threads, and Reddit is often prominent. The brand itself is frequently not the most cited source about the brand.
That changes the work. A fintech program is part visibility tracking, part reputation reading and part source strategy.
The prompt set
We organize prompts by intent:
- Organic discovery: "best business bank account for freelancers", "cheapest way to send money abroad", "which app is good for investing small amounts".
- Brand and trust: "is [brand] safe", "[brand] reviews", "[brand] fees explained".
- Competitor comparison: "[brand] vs [competitor]".
Promptwatch lets us tag these by type and intent, add personas (a first-time investor reads differently from a finance director), and see which query fan-outs each model produces. That last part is useful, since fan-outs reveal the sub-questions engines ask, often about fees and regulation.
What we read in the data
Sentiment and position. A per-response sentiment score with a weekly summary tells us how engines describe the brand, and Position in Answer shows whether it is first or fifth.
Citations. Citation analytics shows which pages and domains engines used, plus offsite mentions where the brand is named without a link, and Reddit and YouTube reports. In fintech we often find that two or three review platforms and a couple of subreddits shape most answers. That tells us where to focus, and it is rarely the client's blog.
Crawler access. Agent Analytics shows IP-verified AI crawler requests. Fintech sites commonly sit behind strict bot protection for good security reasons, and sometimes that blocks the very crawlers whose engines customers use. We check, rather than assume.
Conversions. Visitor analytics counts AI-referred visits and sign-ups.
Why we use Promptwatch
Promptwatch is the platform we run client programs on. For fintech, two things stand out beyond the features. First, it is ISO/IEC 27001 certified and GDPR compliant, which helps when a client's security team reviews a vendor. Second, its own customer list includes financial names such as Bitvavo, Polymarket, Rabobank and ABN AMRO, which is public in Promptwatch's materials. We mention that as context, not as a case study.
Plans: Explore is free (ChatGPT only, 10 prompts), Essential $95 a month, Professional $245 (crawler logs start here), Business $579, agency self-serve from $199. Enterprise adds SSO and audit logs. Check the live pricing page.
What we do not do
We do not give compliance or legal advice. We do not tell a client what they can claim about fees, safety or returns. Anything an engine says, and anything we publish, goes through the client's compliance process. Tracking cannot guarantee a recommendation, and we say so in the first meeting.
A sensible fintech start
- Build a prompt set around trust, fees and comparisons.
- Run a baseline and read the sentiment summary.
- Study the sources engines cite, with special attention to Reddit and review platforms.
- Check AI crawler access against your bot-protection rules.
- Agree with compliance on what content can be published, then fill the gaps.
This takes weeks, not days, and the value comes from repeating it and watching the trend.