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Can AI Tell Your Client Apart? A Real AI Visibility Finding

1:24 · Published · Watch on YouTube

Scout, the guide character in the Radar videos, walks through one real finding from the public Radar sample report: AI engines describing a different, same-named company. It covers the evidence, who owns each step of the fix, and how to recheck.

Scout scenes are illustrative. The evidence is the de-identified July 2026 baseline from the public sample report; the Gemini example still needs client confirmation, and no follow-up result is published.

Transcript

AI found your client's name. Great. But is it talking about the right business? I'm Scout. Let's untangle one real Radar finding.

This public sample report is a de-identified travel agency's July 2026 baseline. It flagged five identity confusion issues. Three marked high severity. Perplexity mixed in similarly named agencies. Gemini described a company profile that still needs the client's confirmation.

Those details matter more than a headline score. Start by confirming the business facts with your client. The official name, location, history, and services. Your content owner makes those details clear on the website. Your web team adds matching organization markup.

Then align relevant business listings, that's a practical assignment, with people responsible for it. After the update, check the page and its markup. Repeat comparable AI questions. Record the date, providers, prompts, and responses. Does the confusion remain?

No follow-up result is published here. A changed answer doesn't prove your edit caused it. Now, the client gets a clear plan, the evidence, the owner, and the next check. One issue becomes a decision your team can explain and act on. That's Radar, the decision layer for AI visibility.

I'm Scout, your guide to Radar.

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