AI Traffic Report Agent

How Cassidy automates site traffic reporting using AI

Step 1: Connect GA4 and GSC properties

Cassidy authenticates to each client's GA4 Data API and GSC Search Analytics API, pulling sessions, conversions, clicks, impressions, and position data on a scheduled cadence—daily for KPIs, hourly for anomaly monitoring.

Step 2: Normalize and unify multi-site data

The Workflow standardizes metrics across properties, harmonizing time zones, currencies, and conversion definitions while tagging each record with client and site identifiers for portfolio-wide analysis.

Step 3: Classify AI referral traffic

Cassidy applies custom channel grouping rules using regularly updated regex patterns to surface traffic from AI assistants like ChatGPT, Perplexity, Claude, and Gemini—separating it from organic and direct channels.

Step 4: Detect anomalies and identify root causes

Time-series baselines flag significant WoW or MoM changes, then Cassidy automatically pivots by source, landing page, device, and GSC query to surface the drivers behind each spike or drop.

Step 5: Generate executive summaries

Cassidy synthesizes trends, KPI attainment, AI referral highlights, and top recommendations into stakeholder-ready narratives—formatted for weekly or monthly delivery.

Step 6: Deliver reports and alerts

Completed summaries and anomaly alerts route to Slack, Teams, or email, with optional PDF exports and per-client or portfolio roll-up views—keeping your team and clients informed without manual effort.