Five Links. One Original Claim.

In 2026, SEO specialist Charles Floate described an experiment in which he created an SEO awards programme with no established reputation and promoted it online.

According to Floate, the experiment cost $20 and took three days. He reported that his awards appeared prominently in Google search results and that an AI Overview placed them alongside established industry awards.

Those are his reported results, rather than findings independently verified for this article. Still, the experiment raises an interesting question: how easily can something acquire the appearance of credibility simply by appearing in enough places online?

1Five links don't necessarily mean five sources

Imagine an AI-generated answer about a company that includes five supporting links.

The first article makes a particular claim. Another publication picks it up, a third summarises it, and two more reference the earlier coverage.

There are now five websites discussing the same thing, which looks reassuring until you follow the references back to their origin.

What appears to be five pieces of supporting evidence may actually be one unverified statement repeated several times.

There's nothing inherently suspicious about information being repeated. Journalists cite other publications, companies distribute press releases, and articles are routinely syndicated. The important distinction is whether subsequent sources have independently checked the claim or simply passed it along.

This has been a problem in journalism for decades. AI-generated answers add another layer because they can bring those references together into a single, confident-sounding response.

A reader sees an answer supported by several links but may have little reason to investigate whether the sources are genuinely independent.

Floate's experiment doesn't prove that every AI system is vulnerable to this kind of manipulation. It does, however, offer a useful illustration of how easily apparent credibility can become part of the information people encounter online.

2What happens when the claim concerns your organisation?

Consider a hypothetical situation where an allegation about a company appears on a relatively obscure website.

Other publications repeat it, perhaps without checking the original evidence. Over time, the allegation appears in enough places that someone researching the company could encounter it repeatedly.

If an AI assistant draws on those sources, its answer could give the allegation more apparent credibility than the underlying evidence deserves.

The problem isn't necessarily the number of articles or even the presence of negative information. It's whether the available evidence supports what people are being told.

An organisation facing this situation needs to understand where the claim originated, how it spread and whether subsequent reporting added anything substantive.

Without that understanding, it's easy to respond to the apparent scale of the story rather than the actual issue.

3Follow the claim back to its source

When reviewing a questionable AI-generated answer, I would start with the claims that matter most and examine the evidence behind them.

Who published the original information? Have other publications independently verified it? Does the AI-generated answer accurately reflect what its cited sources say?

The answers should guide the response.

If the original report contains a factual error, correcting that information may be the priority. If an AI assistant has misrepresented an accurate source, the problem lies elsewhere. And if the evidence reveals a genuine issue, the organisation needs to address it rather than simply challenge the coverage.

These distinctions matter because the same misleading answer can emerge from very different circumstances.

For communications teams, checking AI visibility is increasingly useful. But knowing how an organisation appears in AI-generated answers is only part of the picture. We also need to understand why those answers look the way they do.

So when an answer comes with five reassuring-looking citations, it's worth checking where they lead.

You might find five independent sources, or discover just how far one original claim has travelled.

Source note: The opening example draws on Charles Floate's account of his SEO awards experiment. His reported budget, timeframe and search results have not been independently reproduced for this article. The company allegation discussed later is hypothetical and illustrates a possible reputational risk, rather than a documented outcome of Floate's experiment.