When a buyer asks an AI engine about fintech companies, the answer is usually assembled before your website is consulted. This sits squarely in YMYL: engines apply a visibly higher evidence bar and prefer regulated-register entries and established press over vendor claims. For this category the engine that matters most is ChatGPT, and the sources it leans on are regulatory registers, review aggregators, financial press. That ordering, surfaces first, own site second, is the part most fintech companies get backwards, and it is why publishing more pages often changes nothing.
Where answers about fintech companies come from
This sits squarely in YMYL: engines apply a visibly higher evidence bar and prefer regulated-register entries and established press over vendor claims.
In practice the citation surfaces for this category are regulatory registers, review aggregators, financial press, Reddit threads in the category. None of those is your website, which is the uncomfortable finding and also the useful one: the fastest improvements here are usually off-site.
This category also sits under what Google calls Your Money or Your Life scrutiny, and for fintech companies that has a specific consequence: an engine will drop a claim it cannot corroborate against review aggregators rather than repeat it. So your regulatory permissions and the register entry that proves them is not administrative tidying, it is the difference between being quoted and being skipped. Buyers asking “best <financial product> for <situation>” are making a decision with real cost attached, and the engines answering them behave accordingly.
What the answer actually looks like
Ask for a financial product for a situation and the answer front-loads caveats, cites regulators and consumer press, and names providers only where the permission is verifiable. Unregistered claims are dropped rather than repeated, which is the YMYL bar operating visibly.
That is the shape to check against. Run the question yourself before accepting anyone's advice about it, including ours, because the answer for your city, your specialism and your size will differ from the general case in ways that change what is worth fixing.
The mistake fintech companies make most often
It is making regulated claims that appear nowhere on a public register. That single habit accounts for more missing answers in this category than any ranking factor, because it removes the fact the engine needed before any judgement about quality is reached.
The corresponding fix is narrow and concrete: publish your regulatory permissions and the register entry that proves them. It is usually an afternoon of work, it is checkable, and it is the thing to do before commissioning any content at all.
What to fix first
Start by asking ChatGPT the question a buyer would actually type, something close to “best <financial product> for <situation>”, and write down what comes back, with the date. That single answer tells you whether you are absent, mentioned, or mentioned third, and those are three different problems.
Then audit your presence on the surfaces above in the order listed, because they are ordered by how much they influence the answer in this category. Fixing your own pages before fixing regulatory registers is the most common wasted quarter in fintech companies.
Finally, re-check on a schedule. One reading is not a measurement: engines return different answers to the same question across days, so a change only counts if it holds.
Measuring this for fintech companies
The check worth running is narrow: ask ChatGPT “best <financial product> for <situation>”, record whether you are named, and record which competitors are named instead. Repeat it daily rather than once, because a single answer from any of these engines is a sample, not a position.
Cituna does exactly that across all six engines, ChatGPT, Perplexity, Gemini, Claude, Grok and Google AI Overviews, on the $39 Starter, and joins it to Google Search Console so a movement in ChatGPT can be checked against real clicks rather than taken on trust. For fintech companies the most useful output is usually not the score but the competitor list, because it tells you which regulatory registers entries are outranking yours. We do not track Microsoft Copilot.
Drafted with AI assistance from our own research and Search Console data, and reviewed by Rahul A before publishing. Rules and prices change; check the linked official source before you act.