# How to Measure Fintech AI Visibility

> ChatGPT and Google AI Mode answer saving questions and borrowing questions from different sites and name different providers. Here's how to measure each direction as its own list and check every rate the answers quote against your own.

By Vlad Shvets, Partner @ Qvery · Published 2026-09-04 · Updated 2026-11-09 · 9 min read
Canonical: https://qvery.ai/blog/how-to-measure-fintech-ai-visibility/

A fintech that takes deposits and makes loans already reports its business in two directions. Each has an owner, a rate sheet (the approved list of each product's rate and fees), and a review before a customer sees a new number.

Their customers now shortlist in a chat window too: they ask which card or savings account to choose, and the answer names providers and quotes a rate beside each.

> At Qvery, we help fintechs spend less product and compliance time chasing wrong rates on partner and publisher pages and keep them on the products customers choose, with custom AI agents that read every answer's quoted rates, find the page behind each wrong one, set it beside your approved sheet and draft the fix compliance signs.

Your AI visibility needs the same ownership: someone accountable for which products the answers recommend and whether they quote your terms correctly.

Measure each direction separately: the same customer questions, asked again and again on both engines, and a record of who was named, recommended in the answer, and which sites were cited, linked as its sources.

- **13 of 20** borrowing answers cited a credit bureau or a loan marketplace; 3 of the 19 saving answers with sources did
- **18 of 85** names in Google AI Mode's answers that came with the provider's own site; ChatGPT linked every one

Source: Our research: US saving and borrowing questions asked on ChatGPT and Google AI Mode, October 2026

## Saving and Borrowing Answers Lean on Different Sites

Every question sorts by the direction of the money. Money in: where to keep savings, which app to invest with, which account to open for retirement. Money out: which card, which loan, which buy now pay later app.

Our September research showed why the two lists need different owners:

The difference was credit bureaus, credit-score services and the loan marketplaces built on them: they were among the sources of **28.23%** of the cited borrowing answers and none of the saving ones.

**The Borrowing Answers Stand on One Layer the Saving Answers Don't** (% of answers that cited any source)

Credit bureaus, credit-score services and loan marketplaces sat under 28.23% of the cited borrowing answers and none of the saving ones; publishers sat under about seven in ten on both sides.

| Label | Saving answers | Borrowing answers |
|---|---:|---:|
| Personal-finance publishers | 72.36% | 71.77% |
| Providers' own sites | 44.72% | 51.61% |
| Credit bureaus and loan marketplaces | 0% | 28.23% |
| Regulators and public bodies | 26.83% | 22.58% |
| YouTube | 13.82% | 8.06% |

Share of the answers that cited any source with at least one site of each kind among their sources, saving and investing questions against borrowing questions, ChatGPT and Google AI Mode together, September 2026. Source: Our research: consumer money questions on ChatGPT and Google AI Mode, asked from the US, the UK, Canada and Australia, September 2026

Pooling one bank's nine borrowing answers and one saving answer into 10 of 40 describes neither its cards nor its savings account.

So each list gets its own owner: the person who answers for that product line's rate sheet and signs off its pages with compliance. If one person owns both rate sheets, that person keeps two lists, never one.

## A Wrong Rate in an Answer Is Yours to Fix

Whether your own site came with your name depends on the engine. ChatGPT linked every provider it named to that provider's own site, each pick with its own link labelled Visit, Explore or View card. Google AI Mode did it for about one name in five, and otherwise pointed to publishers.

Then the part a finance company can't leave unread: what the answer said about your terms. In our October research on US saving and borrowing answers, **59.88%** of the products named came with a percentage beside them: an APY (the yearly interest a savings account pays), an APR (the yearly cost of a loan or card), a transfer fee, a cash-back rate.

Those figures moved between answers. One savings account was quoted at a higher APY in both ChatGPT answers than in a Google AI Mode answer the same day, and a card's transfer fee was quoted two ways.

## What Qvery's Agents Do Each Month, and What Compliance Signs

Our agents start once the month's answers are saved, and they read four things: those answers, your two question lists, last month's names and sites, and the rate sheet compliance last approved. The work splits like this:

**The month, split between our agents and a person**

| Step | Our agents | A person |
|---|---|---|
| The two tables | write every row, one per product and figure | reads each row against its answer |
| The two lists | recount them, mark what joined or left | reads the changes |
| Your figures | set each beside the rate sheet, draft fixes | compliance signs every fix |
| Publisher pages | list them, open none | opens them, writes to the publisher |
| A name or figure it can't place | send it as a question | answers it |

The questions still have to be put to the engines each month: Qvery's GEO Agent writes them from your brand, your industry and your competitors and asks them every day in the countries you choose.

Some publishers' terms bar automated access without written permission. The agents list those pages for a person to open, and treat any publisher whose terms have not been checked the same way. Before they connect, we agree in writing what they may read and do, and every action they take is logged.

The work that follows is work your team already does by hand: after every rate change, someone opens each partner and publisher page that prints the rate, sets it beside the approved sheet and writes to whoever runs the page. Work out what that costs your team, and what the agents hand back.

The calculator opens on an example we assume: a product owner and a compliance reviewer, each about $127,100 a year with benefits (the average of the Bureau of Labor Statistics' May 2025 means for compliance officers and market research analysts, plus 30%), at 8% of their week, with the agents taking 60% of it. A person still opens the pages whose terms bar automated reading.

(An interactive calculator on the page: roi-partner-rate-checks.)

On that example the job falls from $20,336 to $10,534 a year, the agents' running cost included (about $200 a month for model usage, hosting and upkeep). That is **$9,802** a year and 200 hours back, and every $10,000 of the build is earned back in about 12.2 months.

## Each Answer About You Lands in One of Four States

Our agents set each figure stated about your products beside the line of your rate sheet it should match, and give each answer the first of these four states that fits:

**Four states for your own row**

| The answer shows | Do this |
|---|---|
| Named, your page, figures right or none quoted | keep the page's rate and date current |
| Named, figure wrong or old | find which cited page carries the old figure |
| Named through others' pages only | check what those pages say about you |
| Not named, a rival named instead | open the list's sites and look for your product |

> 💡 **Rows That Need No Fix** 
> - A name that arrives on a publisher's page rather than yours, with your terms stated correctly. The answer still sends a customer your way.
> - A ChatGPT link to your homepage rather than the product page, as long as the homepage states the product's current terms.
> - A provider present on the first ask and gone on the second. The second ask is there to catch it, and a single month of it is no trend.

Two monthly asks show each list's shape, but an answer can change back on the next ask. Daily measurement lets you follow those changes more closely.

GEO Agent: https://qvery.ai/geo-agent/

## Send Us Your Rate Sheet

We start from last month's answers: the agents run on them first, so you see every figure they set apart before a live month, and we learn how your product owners keep their rate sheets and prepare corrections. Within two weeks there's a first version, from then on we count the hours of checking handed back and the wrong figures caught, and compliance still signs every fix.

Have Qvery Build Your Rate-Check Agents: https://calendly.com/qvery-vlad/30min

## Frequently asked questions



### What's the difference between being named and being cited?

Named means the answer puts your product forward as an option. Cited means a page of yours is among the answer's sources. In the October run, ChatGPT linked the site of every provider it named; Google AI Mode did that for about one name in five.

### Can AI agents read publisher pages for us?

Only where the site's terms allow it. Some publishers' terms forbid accessing their content with robots, scripts or scrapers without written permission, so the agents hand a person a list of those pages to open. Read each site's terms before you automate anything.

### Who should own AI visibility at a fintech?

The owner of each product line's rate sheet owns that line's list: one person for saving, one for borrowing. Compliance signs every correction, and the few sites on both lists need both owners.

### How should we handle an incorrect rate in an AI answer?

Compare the quoted figure with the rate sheet compliance last approved, then find which cited page carries the old figure. Send a proposed correction through compliance and check subsequent answers; changing a page does not prove the answer has changed.

### Which pages print our rates besides our own?

Comparison and review sites, partner pages from the banks and card companies you work with, affiliate pages and app store listings. The ones to check first are those the answers cite for your products' questions, which the GEO Agent's records list each month.

### How often do partner and publisher pages need checking?

After every rate change, and once a month in between. Savings rates move with the market, and a page that still prints last quarter's APY sends customers to your support team with a promise you no longer make.

### What stays with compliance?

Every correction request and any wording a customer reads. The agents find the page, set its figure beside the approved sheet and draft the request; compliance approves it, and a person sends it.

### Do the agents change our rate sheet or our pages?

No. They read the sheet compliance last approved and draft. Your own pages are edited by their owners, and the rate sheet changes only through your normal approval.

### What happens when a publisher does not correct a figure?

The row stays open with its date and the request that was sent, and the agents check the page again after each rate change. Your partnerships or compliance lead decides when to escalate, for example through the partner agreement.

### How long until the agents run on our rate sheet?

About two weeks from access. They run first on a month your team has already checked by hand, so you see every page they flag beside your own list before a live month.

### What does running the agents cost each month?

About $200 a month for model usage, hosting and upkeep at the example's volume, an estimate that grows with the number of products and partner pages.

### Can this cover rates in more than one country?

Yes, with one rate sheet per market and the questions asked in each market's language and location. A rate in another market is a different figure and never shares a row with your US one.

### Does a corrected page mean the answer will change?

Not by itself. An answer can keep quoting an old figure for weeks after the page changes, and it can quote a page you never knew about. So the agents keep checking the answers after each fix, and a fix is closed only when both the page and the answers show the new rate.

### What do the agents need access to?

Read access to the approved rate sheet, the GEO Agent's answer records and your list of partner pages, plus a drafts folder or ticket queue for the requests. They need no access to customer accounts, and what they may read is agreed in writing before they connect.

### Which products should we start with?

The ones whose rates change most and are quoted most, usually the savings account and the main card. Add a product line once its first month has run beside your own check without surprises.