Attribution Reconciliation
See the real business impact of AI mentions — how many visits each LLM platform drives to your pages, with statistical confidence.
What it measures
When AI platforms cite your pages in their responses, does that actually translate into real traffic? Attribution Reconciliation answers this question by connecting two data streams: the URLs cited in LLM responses (from our prompt monitoring pipeline) and the page-level traffic from your Google Analytics 4 account.
The system runs daily as part of the intelligence pipeline, comparing AI citation patterns against GA4 traffic baselines to identify pages where AI mentions are driving measurable visits. Each page receives a confidence score from 0 to 100, indicating how strongly the evidence supports AI-driven attribution.
Full methodology for signed-in users
The complete Attribution Reconciliation methodology — including the statistical machinery, weightings, and detection thresholds — is available to ClickedOn clients and team members.
Sign in to viewData sources
AI Citation Data
URLs extracted from LLM responses to your tracked prompts. Normalised to page paths and deduplicated. Updated daily as part of the prompt monitoring pipeline.
Google Analytics 4
Page-level sessions by default channel group. Ingested daily via the GA4 Data API. Requires an active GA4 OAuth integration in your organisation settings.
Google Search Console
Query-level click and impression data used for branded query detection. Pages where branded searches dominate have their attribution confidence adjusted downward.