When Customers Google Your Brand Plus “Scam”, Pay Attention

The customer is almost ready to pay.

Your pricing page is open in one tab. In another, they type the company name followed by a single word: scam.

For years, businesses tended to treat that search as a reputation problem. Something for SEO teams to suppress, PR teams to worry about and founders to take personally.

That is the wrong reaction.

In 2026, checking whether a company is genuine is ordinary buying behaviour. Fraud has become convincing enough that sensible customers expect to verify what they see before handing over a card number, an identity document or access to personal data.

The Federal Trade Commission says consumers reported $3.5 billion in losses to imposter scams in 2025. Nearly one in three fraud reports involved impersonation, and almost $1 billion was lost to people pretending to represent businesses.

If a prospective customer searches your name alongside “scam”, the useful question is not how to stop them searching.

It is what they find next.

The suspicious customer may be your best customer

Take online dating.

A person considering an unfamiliar service may check the price, read complaints, look at cancellation terms and search phrases such as DateMyAge scam before creating an account.

That person is not necessarily looking for a reason to leave. They are trying to establish whether the company deserves access to their money and personal information.

Subscription businesses see the same behaviour. So do investment platforms, recruitment sites, ticket sellers, marketplaces and online education companies.

The customer opens Reddit. Checks Trustpilot. Searches the company address. Looks for the legal entity behind the brand. Reads the one-star reviews first.

Businesses can dislike this ritual, but they cannot reasonably call it paranoia.

The FTC reported that almost 30% of people who lost money to scams in 2025 said the initial contact happened on social media. Reported losses from social-media scams reached $2.1 billion. For romance scams specifically, nearly 60% of people reporting a loss said the contact began on a social platform.

Customers have learned a hard lesson: polished digital presentation proves very little.

A convincing logo costs almost nothing. A fake company can buy advertising. AI can write clean sales copy. A scammer can build a plausible LinkedIn profile before lunch.

So the buyer checks.

That behaviour should be treated as part of the customer journey.

What happens after the search matters more than the search itself

Suppose someone searches your company and finds four different prices for the same service.

The homepage says £29 a month. An old help page says £24. The app store shows another figure. Cancellation instructions are buried inside a support article written three years ago.

None of this proves dishonesty.

It does create work for the customer.

Now imagine the opposite. The company name matches its billing descriptor. The subscription terms are written plainly. A real address is visible. Cancellation instructions take thirty seconds to find. Support emails come from the same domain customers signed up on.

Boring details. Good details.

Corporate Vision recently made a similar point in How Service Businesses Build Trust Online: evidence customers can check carries more weight than lose claims about being “trusted” or “leading”.

The same rule applies to digital platforms.

A security badge is weaker than a clear explanation of what happens when an account is compromised. A page saying “your safety is our priority” is weaker than a visible report button and an answer within a reasonable time.

This is where marketing teams sometimes make matters worse.

They want every search result to look positive. Negative reviews get treated as contamination. Critical questions disappear into bland FAQ copy.

Customers notice.

A page that admits where fees apply, which checks are performed and what the company cannot guarantee often looks more credible than a page where every sentence sounds like it survived three meetings with the brand team.

AI has made identity a product problem

The most uncomfortable part is that verification is getting harder.

In September, The Guardian reported on a US fraud case involving AI-assisted fake identities. Prosecutors accused Daejon Love of posing as a wealthy former NFL player and persuading women he met through dating apps to send money for supposed investments. Federal authorities said more than two dozen women had originally been identified as victims, with alleged losses of $1.3 million; another 35 women later came forward with allegations.

The interesting detail for digital businesses is how much supporting material can now be fabricated.

A scam no longer depends on one fake photograph and a clumsy email.

There can be multiple identities, investment dashboards, convincing messages, staged calls and a long history of contact. The person on the receiving end is not making one foolish decision. They may be evaluating a collection of evidence that has been manufactured specifically to survive casual checking.

That changes the job of the platform.

An account existing for six months is not enough.

A completed profile is not enough.

Even a video call may not settle the question it once did.

Companies running dating, recruitment, finance or marketplace products need to decide where extra checking is worth the inconvenience.

That may mean identity checks before sensitive actions. It may mean limiting newly created accounts. It may mean slowing a transaction when behaviour suddenly changes.

Yes, friction can reduce conversions.

Fraud can do considerably worse.

Stop measuring every extra click as failure

Product teams have spent years shaving seconds from sign-up flows.

Fewer fields. Fewer screens. One-tap payment. Instant approval.

Most of that work made digital products better.

Then fraud caught up.

Consider a marketplace account that has sold low-value household goods for eighteen months. Overnight, the password changes, the payout account changes and £8,000 of electronics appear for sale.

Making that seller complete another check is not bad UX.

It is common sense.

The same logic applies when a dating account suddenly sends identical messages to hundreds of users, when a customer asks to change bank details immediately after an email-password reset, or when a recruiter account begins directing applicants to an unrelated messaging service.

The useful question is not “Can we remove this step?”

Ask what the step is protecting.

If it protects nothing, remove it.

If it interrupts a pattern strongly associated with fraud, leave it alone.

Businesses should also give frontline staff somewhere to send the odd cases. A customer-support agent who spots something strange needs more than a dropdown menu marked “other”.

Fraud often looks slightly wrong before it looks obviously criminal.

The company that catches that moment has an advantage.

“Scam” is feedback you did not have to pay for

Brands spend heavily trying to understand why people abandon checkout.

Sometimes customers tell them for free.

Search data around “scam”, “legit”, “real company”, “refund”, “cancel” and “complaints” points directly at uncertainty.

If “company name + cancel” is a popular search, perhaps cancellation is too difficult to find.

If customers repeatedly ask whether emails are genuine, authentication and sender consistency need work.

If people want to know who owns the business, make that information easier to locate.

Do not create ten SEO pages insisting the company is legitimate.

Fix the reason the question keeps appearing.

There is a useful discipline here for any digital business: search for your own company the way a nervous customer would.

Ignore the glossy homepage for ten minutes.

Read the bad reviews. Try to cancel. Find the registered company details. Look for a phone number. Check what appears when you add “scam”.

That second browser tab is not an insult.

It is the customer asking you to prove something.

The businesses worth trusting should make the answer easy to find.