Mission
Make AI visibility management measurable with production-grade observability and clear ownership.
Company
We help teams build repeatable AI visibility operations.
Citograph turns opaque model responses into operational signals: where your brand is mentioned, which sources are influencing recommendations, and where the gaps are.
Approach
We combine prompt automation, citation attribution, competitor context, and technical checks before producing recommendations.
Goal
Deliver evidence-based actions that improve visibility outcomes instead of relying on intuition.
How Citograph helps teams grow faster
What we optimize
AI visibility, citation quality, and recommendation readiness for GTM, product, and marketing teams.
How we measure visibility
We monitor prompt-level AI outputs across engines, parse citation context, and map source influence into measurable score and ranking signals.
What teams get out of it
Actionable recommendations, competitor comparison, and a clear engineering roadmap for improving AI recommendations.
Use case
AI-driven brand discovery and recommendation tracking
Deployment
Queue-driven scans, retries, and audit logs
Outcome
Faster decisions from source-backed visibility reporting
Teams use Citograph to improve messaging, content investment decisions, and technical AEO readiness without waiting for a full analytics cycle.