We read 5,811 answers to questions that name the brand
Once a buyer has heard of you, the next question usually carries your name: "What is X?", "Is X legit?", "X vs Y". The engine has to work out which X they mean before it says anything useful.
Proofsource tracks these questions next to the category ones, and for each answer it records whether the answer is about the brand, about a different company with a similar name, or unclear about which company it means.
The sample is every answer from ChatGPT, Perplexity, Claude and Google AI Overviews collected from October 4 to November 1, 2026, for an English question that names the brand: 5,811 answers to 835 questions for 156 brands in 114 accounts. We dropped repeated identical answers.
6.4% described someone else, and AI Overviews did it most
372 of the 5,811 answers (6.4%) described a different company. We hand-read 30 of them at random: 23 were clearly about another company, 4 were actually about the brand, and 3 we couldn't settle. So the true rate is likely 5% to 6%, about one answer in 20.
- Google AI Overviews: 137 of 1,376 (10.0%, 95% interval 8.5% to 11.7%).
- Claude: 103 of 1,478 (7.0%, 5.8% to 8.4%).
- Perplexity: 69 of 1,464 (4.7%, 3.7% to 5.9%).
- ChatGPT: 63 of 1,493 (4.2%, 3.3% to 5.4%).
Another 13.3% couldn't tell which company was meant
771 answers (13.3%) described neither the brand nor a clear other company. They asked which one the buyer meant, listed several companies with the name, or said they found nothing. Claude did this in 397 of 1,478 answers (26.9%), against 7.2% for ChatGPT and 7.7% for Perplexity.
Of 20 of these we read, 16 genuinely failed to identify the brand and 4 did describe it. It is more honest than describing the wrong company, but the buyer still learns nothing about you.
Ten brands held 46% of the confused answers
86 of the 156 brands had no confused answers at all. 15 had at least one in five of their named answers about someone else, and ten brands accounted for 171 of the 372. The names we read fell into four patterns.
- An everyday word. A brand named after a common noun got an answer about the thing itself, not the company.
- A bigger company's name inside yours. The engine dropped the extra word and described the better-known company.
- A near spelling. Asked "Proofsource vs Profound", Claude described ProveSource, a social proof tool, and wrote "not 'Proofsource'". That one is ours.
- Same name, older site. A newer brand on one domain lost the answer to an established company on another.
Asking once can miss it
2,157 pairs of question and engine got at least two different answers in the period. 220 of them described another company at least once, but only 71 did it every time, and 147 did it just once. A single check can miss the problem, or catch a one-off and send you chasing it.
What we'd do
- Ask each engine the questions a buyer types once they know your name: what is it, is it legit, is it worth it, and how it compares with your closest competitor. Read who the answer describes, not whether the name appears.
- If an engine picks another company, say plainly on your home and about pages what you make, for whom, and where, next to your name and domain.
- Use the same name and the same domain on every profile you control, from LinkedIn to app stores and review sites.
- Add Organization markup with your name, url and sameAs links. Google says it helps it "disambiguate your organization in search results". It says nothing about AI answers, so treat it as cheap, not proven.
- Recheck over several days. One clean answer isn't a fix.
How Proofsource handles it
Proofsource checks every answer to a question that names your brand and flags the ones about a different company with a similar name. They aren't counted as mentions of you or checked against your facts, and you can read each one with its sources.
Where this could be wrong
The verdicts come from rules plus a classifier, and 4 of the 30 we read were wrong. Thirty is a small check, so the 5% to 6% estimate is itself loose.
These are brands our users chose to track, many of them young and small. A well-known brand will be confused far less often, and an engine may treat a famous name very differently.
Every answer is one response at one moment. Engines update, and an answer that confused two companies this week may not next week. We only read English questions.
