Revenue by AI source, conversion quality, cited-page quadrant.
AI-sourced sessions segmented by model, per-model conversion quality (CR · AOV · time-to-convert), and a four-quadrant view of cited pages (converting vs. not × cited vs. not) with quadrant-specific action chips.
For content marketers and growth leads, not MCP operators - the GA4 + Peec joins behind every quadrant are already chained.
4-step composite. Every tool call is logged for the tracked_id audit.
ai_source dimension applied to GA4 + PostHog. Landing-page family attribution keeps the signal at the page level.
Per-model CR, AOV, time-to-convert, pre-convert content path.
Each cited URL joins its conversion data; the four quadrants surface with quadrant-specific action chips.
Each datasource has a provenance chip on the live dashboard, so you always know whether a number came from a live MCP call, a cached snapshot, or a fallback.
Sessions, engagement, conversion, revenue, segmented by canonical AI source.
Citations, share of voice, sentiment, search-query fan-out, prompt suggestions.
Impressions, clicks, average position by query and page.
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