A dashboard should tell you where you stand and what to do next. Too many of them pile up numbers and leave the thinking to you. We rebuilt the SurfacedBy dashboard around that idea: one workspace per brand that opens on a clear readout of your AI visibility, the sources AI cites, the prompts you are tracked on, your competitors, and the opportunities worth acting on, with the work to fix them a click away.
What changed
The redesign goes deeper than a new look. The old dashboard was built around scans; the new one is built around a daily operating rhythm. You open it, see what moved, and know what to do, without exporting anything or stitching tabs together. The goal was measurement clarity, not decoration.
Your visibility, per platform
The Overview opens on where you actually stand. Each AI engine gets its own score out of 100, so you can see at a glance that you are strong on Google AI Mode and thin on ChatGPT, instead of an averaged number that hides both. Behind the score is the math that built it: the citation rate, your average position when you are cited, your rank against competitors, and the page AI cites most.
The sources AI pulls from
Being visible in AI is mostly about being cited on the sites AI already trusts. The Overview shows the third-party sources AI leans on most in your category, and how often each one appears in answers. That turns a vague goal into a concrete target: these specific sites get cited most often, and here is where you are missing from them.
Built to be trusted
Numbers are only useful if you trust them, so the dashboard is explicit about where they come from. Every score, source, and competitor figure is computed on the backend, never recalculated in your browser, so two screens never disagree. Each surface carries a freshness label, such as last checked and updated hours ago, and a scope label, so you always know whether you are looking at a Full Check or a Daily Check. One canonical score is used everywhere, which means the number on the Overview is the same number in your report. We describe freshness and scan cadence plainly rather than promising real time on everything.
From reading to doing
The point of seeing a gap is closing it. From the Overview, a weak platform or an uncited source links straight into your Opportunities and the actions that work them, so you do not leave the workspace to act. When you connect Google Analytics, the same Overview also shows the AI-referred traffic and conversions your visibility drives, which we cover in our AI traffic tracking update.
How to read it
Open a tracked domain and start on the Overview. Scan the per-platform scores to see where you are strong and weak, check what changed since your last look, read which sources AI is citing, and open the opportunities that matter. The loop from where you stand to what to do is one screen.
A note on timing: the dashboard changes often, from customer requests, our own testing, and the new AI platforms and surfaces we keep adding. Treat the screenshots here as how the Overview looked at launch. If yours has more cards, filters, or platforms than what you see here, you are on a newer version.
