SearchestraAI Is Making Up Facts About Your Brand. Confidently.
AI does not just describe your brand, it sometimes invents things about it: a feature you do not have, a flaw that is not real, a price that is wrong. It says all of it with total confidence, and a buyer believes it. You never see the claim, and you never get to correct it.
Confident and wrong is the dangerous combination
A hallucination is the model fabricating something with no source behind it. Because it sounds as authoritative as a true statement, buyers cannot tell the difference, and a made-up flaw can cost you a deal as easily as a real one. It also corrupts your other metrics: inflated mentions, distorted share of voice, misread sentiment.
What to demand when you monitor it
| Item | Why it matters |
|---|---|
| Per-engine rate | Fabrication varies a lot by model |
| Trend over time | One update can change everything |
| Flagged examples | You need to see the exact false claim |
| A documented detection method | No method is itself a red flag |
Catch fabrications before buyers do
Searchestra surfaces flagged hallucinations rather than hiding them, reports the rate per engine, and reads accuracy alongside sentiment, because a confident false claim about your brand is a risk you want to catch first.
AI can invent confident, false claims about you that reach buyers unseen; monitor hallucination per engine with flagged examples so you catch them first.
Frequently asked questions
What is an AI hallucination about a brand?
A fabricated attribute, flaw or association with no source behind it. It is a model error, distinct from an outdated or wrong source.
Why is it dangerous?
Because it sounds as confident as a true claim, so buyers believe it, and you never see it to correct it. It also distorts your other metrics.
Why report it per engine?
Because fabrication rates vary a lot across models. A blended average hides that one engine may misrepresent you far more.