Last week, Google's AI Overview answered "what is BrandScope AI" by describing a different company — wowai.ch, a Swiss brand-evaluation platform. Not us. We're BrandScope (brandscope.dev), an AI-visibility monitor.
Then I found brandscopeai.com — a direct competitor with nearly our exact name, tracking the same thing we do (brand mentions in AI platforms), at similar prices ($29-299 vs our $39-399).
Three companies, two of which are named BrandScope, all competing for one AI identity. Google can't tell us apart. Neither can ChatGPT or Perplexity.
What our data shows
We ran our own brand through the same monitoring we sell:
"brandscope ai" in Google search: we're #1 organic.
Same query in Google AI Overview: it describes wowai.ch. Not us.
Across 6 AI assistants: our own brand gets confused, misattributed, or cited from the wrong entity.
This isn't an edge case. Name collisions are the #1 thing we see when brands run their first scan. Powsight gets confused with PowerSight. Zarek gets recommended over its own competitors. A brand with a common name finds the AI quoting the other company's site.
Why this matters more than mention rate
A mention of your brand by AI is worthless — even harmful — if it's the wrong brand. "Mentioned" and "correctly represented" are different problems:
Mentioned but wrong entity → prospect goes to the wrong company
Mentioned but no source → probably hallucinated, can't be verified
Not mentioned → discoverability problem, fixable
We now split every report into these three buckets, each with its own next step. Because a founder's real question isn't "does AI know my brand" — it's "does AI describe the right brand, correctly, with evidence".
The uncomfortable part
We built a tool to catch brand misattribution, and then discovered our own brand was the victim of it. That's either embarrassing or validating — we're choosing to treat it as validation. The problem is real, it's growing, and every week we see more founders hitting it without knowing.
Check if AI knows your brand — and which one it thinks you are: brandscope.dev
We're BrandScope. The AI-visibility one. Probably.
The name-collision example is a strong reminder that being visible isn't enough if the system is attributing you to the wrong company. The distinction between being mentioned, being correctly represented, and being supported by evidence is especially useful.
Exactly — visibility is table stakes. The real test is whether the model can attribute you correctly, and whether it can point to evidence when it does. Most tools count mentions; almost none verify the citation actually resolves back to you. What's the most surprising attribution mismatch you've come across?
The name-collision example makes the problem much more concrete. It’s easy to see how “being mentioned” can create a misleading signal when attribution is wrong.
Right, that's the trap — it reads as coverage until you realize it's not even about you. Do you think most teams ever catch these attribution errors on their own, or only once something goes sideways?
That’s probably difficult to spot unless someone is actively checking for it. I’d be interested in continuing the conversation — would you be open to sharing the best email to reach you on?