MentionBeat measures whether ChatGPT, Claude, Gemini and the rest recommend you — with confidence intervals — and tells you exactly what to publish next.
And the view in the product that answers each one
Four questions, four views — not four slides you improvise the night before.
Sooner or later someone senior asks whether the number is real. In-house, that moment decides whether AI visibility becomes your win or your liability. So every rate MentionBeat reports is a repeated sample, not a one-shot answer, and carries a confidence interval — when it moves, you can say whether it really moved.
Every figure is also labelled live, modeled or estimated. You'll never put an estimate in front of your VP dressed as a measurement — and when the skeptic on the analytics team asks how the number is produced, the methodology is public, limitations included.
Need the stakes for the deck? The documented record is already written: Chegg is what losing the answer looks like, Vercel is what winning it looks like — both sourced line by line.
Your rank tracker still measures the ten blue links. MentionBeat measures the layer above them — the synthesized answer your buyers increasingly act on without ever clicking. Different layer, different measurement; nothing to rip out.
SEO still earns the crawlable, citable pages that engines draw on. What it can't tell you is what the assistant said. Where GEO and SEO actually differ →
Measurement runs from our side by querying the engines directly — nothing to deploy, no tag manager ticket, no waiting on engineering.
Exports, a REST API and integrations for the reporting stack you already have — the number travels to the deck without screenshots. Integrations & API →
A score you can't act on is trivia. MentionBeat's output is work your team can actually ship — sized for an in-house team, not a services engagement.
Findings become tracked items: the page to rewrite answer-first, the wrong claim to correct, the comparison page to build. Each closes only when a re-check passes. How the queue works →
Drafts built from your verified product facts, scored 0–100 for answer-readiness before they ship — so publishing the fix doesn't wait on a content sprint.
Every shipped change measured against its own baseline. When someone asks "did any of this work?", the answer is an attributed number — including the honest null when it didn't. How attribution works →
Start free — the free tier runs a real measurement suite, no card required. When you need more engines and a steady cadence, Pro starts at $99/month.
The free checker shows where you stand in about a minute — no signup, no card, and the methodology is public before you start.