Every AI engine's view of your brand, on one screen
The Citationly dashboard turns scattered AI answers into a single measure of AI visibility: where you appear, how often, in what context, and whether it is improving.
You cannot manage a channel you cannot see
Ask your team a simple question: how visible is our brand in AI search this month compared to last? For most enterprises, no one can answer. The data exists, scattered across millions of AI-generated answers, but nothing collects it, structures it, or puts it in front of the people who need it.
Traditional SEO dashboards do not help. They report rankings, impressions, and clicks, all metrics from a world where users see a results page and choose a link. In AI search, users receive one synthesized answer. Your brand is either in it or it is not, and no rank tracker will ever tell you which.
Meanwhile, the stakes rise every quarter. Buyers increasingly treat AI answers as shortlists. If your visibility inside those answers is falling, the first symptom you notice will be pipeline, and by then the problem is months old. The teams that manage AI search well all start the same way: they make it visible.
One dashboard that makes AI visibility a managed metric
The AI Visibility Dashboard is the command center of the Citationly platform. It aggregates every brand mention, citation, and answer observation collected across ChatGPT, Gemini, Claude, Perplexity, Copilot, and Grok, and presents them as clear scores, trends, and comparisons.
The purpose is simple: turn AI visibility from an anecdote into a number. A number can be baselined, targeted, reported to a board, and tied to the work your team does. An anecdote can only be worried about.
For enterprises, this changes the conversation. Instead of “we think we are underrepresented in AI answers,” your team says “our visibility score is up eleven points this quarter, driven by citation gains on Perplexity and Gemini, and here is the content that did it.” That is what AI visibility software should make possible.
What the dashboard gives you
Seven views into the same underlying data, each built for a different question your team needs answered.
Unified Visibility Score
A single composite score reflecting how present your brand is across all monitored AI engines. It gives leadership one trackable number for AI search performance, ending the reporting ambiguity that stalls investment decisions.
Per-Engine Breakdown
Individual visibility views for each AI engine, since a brand strong on ChatGPT can be invisible on Perplexity. It directs optimization effort to the engines where your buyers are and your presence is weakest.
Trend Tracking
Visibility movement over days, weeks, and quarters, annotated against your content and campaign activity. It connects the work your team ships to the results engines show, making improvement attributable.
Topic-Level Visibility
Visibility measured per topic and question cluster, not just at brand level. It reveals exactly which conversations you are absent from, so content planning targets real gaps.
Share of Voice Snapshot
Your visibility placed side by side with named competitors, summarized from the full Share of Voice module. Frames every number competitively, because visibility only matters relative to who buyers see instead of you.
Sentiment and Context Signals
Indicators showing whether AI engines mention your brand positively, neutrally, or with inaccuracies flagged for review. It separates good visibility from harmful visibility, so teams fix representation problems, not just presence problems.
Custom Views and Alerts
Saved dashboard views per team, plus alerts when visibility shifts beyond thresholds you set. The right people see the right slice of data without analyst time spent building reports manually.
From setup to a living visibility picture
Define your brand space
Add your brand, competitors, and the topics that matter to your market.
Engines get queried continuously
Citationly runs your market's real questions through all six engines on an ongoing schedule.
Answers become structured data
Every mention, citation, and context signal is extracted and scored using consistent AI search analytics methodology.
The dashboard assembles the picture
Scores, trends, and competitive comparisons update as new data arrives.
Your team acts on what it sees
Gaps and drops route into optimization recommendations, and the dashboard then measures whether the fixes worked.
What changes when visibility becomes a metric
Decisions get faster. Budget, content, and channel debates resolve against shared numbers instead of competing impressions.
Authority compounds. Teams that measure early build visibility leads that late movers must overcome question by question.
Risk surfaces early. A visibility drop on the dashboard is a warning weeks before it becomes a pipeline conversation.
Reporting becomes credible. AI search enters your marketing reports with the same rigor as paid and organic, which is what earns it sustained budget.
Your organization becomes AI ready. The dashboard builds the habit of managing AI channels deliberately, a capability that grows more valuable every quarter.
Why teams choose this dashboard
Breadth without dilution
Six engines monitored with equal depth. Many tools cover one or two engines well and the rest superficially, which produces a distorted picture of AI visibility.
Methodology you can defend
Every score traces to observable answers. When a CFO asks where the number comes from, your team has a real answer.
Built as a platform, not a widget
The dashboard connects directly to citation tracking, competitor intelligence, and reporting, so insight flows into action inside one AI visibility platform.
Designed for enterprise reporting
Exports, shared views, and role-based access were built in from the start, not added later.
See your visibility score today
Run a free analysis and the dashboard populates with your brand's current position across six AI engines, benchmarked against competitors.