By industry · Financial Services & Fintech

When AI gets your product wrong, buyers believe it.

Buyers ask AI about banking, pensions and fintech tools. MentionX stores every answer as text, so legal and comms can see exactly what was said about you.

How does MentionX track brand mentions for finance companies?

MentionX tracks brand mentions for finance companies on 10 AI engines and stores each answer for legal and comms review. It does not give financial advice.

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example scene · buyer → AI engine
A buyer types
“”
Waiting for the question
1. Provider ARecommended
2. Provider BMentioned
Your brandFees described wrongly
4. Provider CMentioned
Example scene with placeholder names. Your scan shows the real answers.
What the research says · financial services

Outside evidence, before your own scan exists.

Vendor study
57%
of personal finance answers were inaccurate across 18 AI models
Vendor study
88%
error rate on the most complex questions
The number that matters
How often AI picks you
We never guess it. Your first scan measures it, and it shows up here instead of the research.
Run your first scan →
These are third-party studies, many from vendors with something to sell. They are hypotheses to test, not MentionX results. Your first scan replaces them with your own numbers.
Chapter 1 · The shortlist forms

One sentence. Three or four names. Then the buyer stops looking.

Nobody scrolls ten blue links any more. The answer is the shortlist, and the shortlist is the market. In financial services, a name that is not in it is not in the room.

Most tools stop here and tell you whether you appeared. That is the easy question.

Share of the answer, per brand · placeholder
Provider ARecommended
Provider BMentioned
Your brandFees described wrongly
Provider CMentioned
Chapter 2 · Where the answer came from

In finance, a wrong answer is worse than a missing one.

Independent testing found AI models often get personal finance questions wrong, from invented rules to missing risk warnings. Out-of-date third-party pages get repeated as fact until the source changes.

THEANSWER1Comparison siteplaceholdercomparison.example2Trust sourceplaceholderconsumer-body.example?Your pagecited onceyour-bank.example/fees
Chapter 3 · The gap

Not “you are missing”. Which page, which question, which answer.

Your share of answers
Read from your scan, never estimated. Ring shown with placeholder fill.
01
AI states your fees or terms incorrectly
Old figures on third-party pages get repeated as fact.
02
Risk warnings and caveats are dropped
The answer sounds confident and leaves out what compliance requires.
03
Absent from local-market prompts
Answers for a country or segment list others first.
Chapter 4 · What happens next

Seeing the gap is not the product. Closing it is.

Every gap becomes an ordered fix. Do them in order, rescan, and watch your name climb the shortlist.

The shortlist · example
Today
1Provider ARecommended
2Provider BMentioned
3Your brandFees described wrongly
4Provider CMentioned
1
Capture every wrong statement as stored evidence
Reviewers see exactly what a buyer saw.
2
Correct the source that carries the wrong fact
Fix the page the engine quotes, not just your own.
3
Publish a single plain page for fees and terms
Give engines one current source to quote.
Chapter 5 · What it is worth

A mention is not the goal. Pipeline is.

The question leadership asks is never “are we mentioned”. It is what the fix is worth. Each gap is tied to the revenue it touches, so the order of work has a number next to it.

1
In the answer
Your brand makes the shortlist.
2
Buyers act
They visit, compare and ask for a demo.
3
Pipeline
Opportunities tied to the fix.
[YOUR PIPELINE NUMBER]
4
Revenue
The number leadership signs off on.
[YOUR REVENUE NUMBER]
financial services FAQ

What teams in financial services ask first.

How does MentionX track brand mentions for finance companies?

MentionX tracks brand mentions for finance companies on 10 AI engines and stores each answer for legal and comms review. It does not give financial advice.

Can legal and comms review the answers?

Every answer is stored as text, so reviewers see what a buyer saw.

Does it handle local markets?

Prompts are discovered from your URL, including country and segment context.

Does MentionX give financial advice?

No. It measures how AI describes and recommends providers.

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Find your gap before your buyer finds your rival.

Stored engine answers before scores. No fabricated query volumes.

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