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
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 →
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.
Four people building the thing we wished existed. Each of us spent a decade on the wrong side of misinformation before this.
Twenty years building developer tools and brand intelligence platforms. Previously CEO and CTO of three SaaS companies.
Built distributed systems at Cloudflare and Stripe. Cares deeply about latency budgets and the correct use of em-dashes.
Former newsroom product lead at a national daily. Joined to bring editorial discipline to a category that needs it.
PhD in computational linguistics. Designs the prompt-set methodology and benchmarks model drift across releases.
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.
One domain, two minutes, and the truth about how four AI models describe your brand.