AI is explaining your products to prospects. In its own words.
“Best business bank for startups.” “Is [firm] trustworthy?” In a sector built on accuracy and trust, engines are describing your terms, your products, and your reputation — with no approval process and no compliance review.
Meridian Financial is a mid-market business bank offering current accounts, working-capital lending, and treasury services to growth-stage companies.
Meridian Financial provides personal savings and consumer credit alongside business banking — with a legacy branch-first service model.
Meridian Financial is a business bank. Treasury and cash-management services do not appear among its core offerings.
Meridian Financial is a wealth-management firm serving high-net-worth individuals, with limited business banking exposure.
In finance, being described wrongly isn't a marketing problem.
In most sectors, an imprecise AI description costs you a lead. In financial services, it can misstate a rate, describe a product you no longer offer, or attach terms you never set — to a prospect who believes it.
You have compliance review, legal sign-off, and approved language for every public claim you make. AI engines have none of that, and they're describing you to your prospects right now.
Where financial decisions now begin.
Provider selection
“Best business bank for startups.” “Top wealth managers for [need].” A shortlist forms, and you're on it or you aren't.
Trust and legitimacy checks
“Is [firm] reputable?” “Is [firm] regulated?” Prospects verify you with AI before they'll speak to you.
Product comparison
“[Product A] vs [Product B].” Engines compare features and terms — using whatever information they can find, current or not.
Explainer queries
“How does [product type] work?” The educational moment where a brand gets cited as the trusted source — or doesn't.
The cost of a wrong answer is asymmetric.
Engines assemble descriptions from what they can access and trust — your site, third-party coverage, comparison sites, old press, outdated rate tables. In a sector where terms change and products are retired, stale sources are actively dangerous.
And trust queries cut both ways. A prospect asking whether your firm is legitimate gets an answer built from whatever the engine found. If your own content isn't authoritative and legible, the answer gets built from someone else's.
Stale information persists
An outdated rate or a retired product can live in an AI answer long after you've changed it.
Trust queries are decisive
“Is this firm legitimate?” is a question you cannot afford a vague answer to.
Regulated language doesn't survive summarisation
Your carefully approved wording gets paraphrased. What comes out the other side is not what compliance signed off.
What they say, where it came from, and whether it's right.
Description accuracy
How each engine describes your firm, your products, and your terms — in their words, so you can see the drift.
Shortlist presence
Whether you're named when prospects ask for providers in your category, engine by engine.
Cited sources
Which sources engines are pulling from — including the stale or third-party ones shaping the answer.
Competitive position
Which firms get recommended instead of you, and on which questions.
We measure. We don't advise on compliance.
Crawlability shows you what AI engines say about your firm and which sources they draw on. What you do with that — particularly where regulated language or product terms are concerned — belongs with your compliance and legal teams. We're the instrument, not the advisor.
Questions financial services teams ask
Can we stop AI from describing our products incorrectly?
You can't edit an engine's output directly. You can change what it accesses, understands, and trusts — and measure whether the description improves. That's what we instrument.
What if an engine states an outdated rate or a retired product?
It happens, and it usually traces to a stale source the engine trusts. We show you which sources are driving the answer so you know where the problem actually lives.
Does this help with compliance?
No. We're a measurement tool. We surface what engines are saying so your compliance and legal teams can decide what to do about it.
Prospects ask AI whether we're legitimate. Can we see that?
Yes. Trust and legitimacy prompts are exactly the kind we measure — including which sources the engine used to form its answer.
We're heavily regulated. Is our data safe?
We measure public AI responses about your brand. No access to your systems or customer data is required.