Inserviss Labs
For banks, insurers and established brands

AI already talks about your company. Is it telling the truth?

We check every claim ChatGPT, Perplexity and Gemini make about you against what you publish — then fix the source and prove it.

What AI says about UBS
From our public study · UBS did not commission it
6 wrong
Customers asked aboutPerplexityChatGPTGemini
Lost-card hotlineMatchesWrongWrong
Duo Saving interest rateMatchesWrongMatches
Vested benefits rateWrongMatchesUnpublished
Platinum package priceUnpublishedWrongUnpublished
KeyClub hotlineMatchesUnpublishedWrong
CET1 capital ratioMatchesMatchesUnpublished

The problem

For a known brand, the risk isn’t being invisible. It’s being misquoted.

0

claims contradicted the brand’s own website — of 688 checked

0/94

phone-number claims were wrong — including a card-blocking line

0/21

ChatGPT answers described another country’s company when the country wasn’t named

0%

of claims were things the brand never published

Measured across UBS, Allianz and AXA, one snapshot (2026-10-14); verdicts are an AI review against each brand’s published facts. Method

Why it matters

Not a marketing metric. An operations and compliance control.

Customer harm

A wrong hotline, fee or deadline — customers act on it and blame you.

Regulatory exposure

Rates, fees and returns stated in your name that you never approved.

Silent revenue loss

A retired product or another country’s terms quietly steers customers away.

An evidence question

“The AI told me.” You need what it said, when, and what you did.

How it works

A control loop, not a one-off report

Step 1
Your facts
STEP 1 OF 6

Your facts

We draft, you approve the facts you stand behind — each with its source page — plus what must never be said in your name.

What you get

Per engine, per claim, with the source

Every wrong claim, worst first — with the exact quote and the engine that said it.

critical
Pension rate five times too high
Perplexity: “The UBS vested benefits account currently pays 0.05% interest per year”
critical
Savings rate doubled
ChatGPT: “UBS’s product page currently advertises 2% interest for Duo Saving”
high
Wrong card-blocking hotline
ChatGPT: “call UBS Card Center at +41 44 828 31 35”
high
Wrong package price
ChatGPT: “The UBS Banking Platinum package is CHF 35 per month”

Questions

What people ask us

Can you control what AI says about us?

No one can, and we won’t claim to. We measure what each engine says, show where a wrong answer comes from, fix the sources you control, and re-ask until the answer changes — with a dated record of each step.

How is this different from AI visibility tools?

Visibility tools count whether you’re mentioned. Established brands are mentioned already. We check whether what’s said is true — claim by claim, against facts you publish.

Which engines do you check?

ChatGPT, Perplexity and Gemini, each reported separately — they read different sources and get different things wrong, so we never average them.

How reliable is the check?

Every quoted claim is verified word for word against the engine’s answer, every fact carries its source URL, and verdicts follow a published rule. Anything touching regulated content is confirmed by a person before it reaches your report.

Do you need access to our systems?

No. We ask the engines the same public questions your customers ask and read your public website. You approve the list of facts you stand behind.

Start with an audit

See what AI tells your customers — before they tell you.

  • ✓50 of your customers’ questions
  • ✓ChatGPT, Perplexity and Gemini — each separately
  • ✓Every claim checked against what you publish
  • ✓The likely source of each error, and the fix
1. Your company
2. What worries you
3. Where to reply
Sector

No access to your systems needed · we aim to reply within one working day