Why we
exist.
AI models are the new front page. They decide what hundreds of millions of people read about your brand — and they get it wrong, daily. We built misquoted to make that visible, measurable, and fixable.
The press used to write the first draft of history. Now it's three models in a trench coat, and nobody is fact-checking them.— Jerry Harrison, founder
Visibility isn't accuracy.
Every other tool in this space measures whether AI models mention your brand. That's the easy question. The harder question — the one nobody else is asking — is whether what they say is true.
We started misquoted because we kept watching ChatGPT confidently invent pricing for companies that don't have public pricing. Misattribute features to the wrong product. List discontinued integrations as current. The models don't know they're wrong. Most brands don't either.
The credit bureaus made financial reputation legible. We're doing the same thing for AI reputation. Read the long version →
Four values that shape every decision.
We borrowed them from journalism, not Silicon Valley. They're old, slow, and unfashionable on purpose.
Better to surface ten findings we can defend than a hundred we can't. We will never inflate a score to make a chart prettier or a CTA click harder.
We don't take money from OpenAI, Anthropic, Google, or any model provider. We never will. If we did, you couldn't trust the report.
Every score traces back to a prompt, a response, and a timestamp. Methodology is public. The model receipt is downloadable. No black boxes.
No dark patterns. No fake urgency. No "your competitor scanned you" emails. We earn the upgrade or we don't deserve it.
Where it started.
misquoted began with one person asking the question nobody else was asking — not "does AI mention us?" but "is what it says actually true?" The team is growing from here.
Twenty-plus years as a CEO and CTO across multiple SaaS companies. Jerry started misquoted after watching AI models confidently fabricate pricing, features, and integrations for brands that had no idea it was happening. Every other tool was answering "are we mentioned?" He kept asking "is it true?" — and eventually decided to build the answer himself.
The methodology, the scoring, and the approach to multi-model consensus all came from that same instinct: measure what actually matters, show your work, and don't ship a number you can't defend.
Bootstrapped, on purpose.
We took no venture capital. The product is paid for by the people who use it. That means we answer to brand managers and CMOs, not to a board chasing a 10x exit. It also means we can take our time getting the methodology right.
Mentioned in.
Find out what they're saying.
One domain, two minutes, and the truth about how four AI models describe your brand.