Improving your AI visibility is the work. Proving it drove results is what gets the next round of budget. This workflow connects Scrunch presence improvements to Google Analytics traffic data, so you can show exactly which pages got more traffic after they started getting cited by AI engines.Documentation Index
Fetch the complete documentation index at: https://developers.scrunch.com/llms.txt
Use this file to discover all available pages before exploring further.
Tools used in this workflow
No Google Analytics MCP? Use the Scrunch only tab to pull the visibility side of the story — then compare to GA manually.
| Tool | Required? | Used for |
|---|---|---|
| Scrunch MCP | Required | AI visibility metrics before and after content changes |
| Google Analytics MCP | Recommended | Traffic data to correlate with AI visibility improvements |
- Google Analytics + Scrunch
- Scrunch only
Replace the bracketed values, then paste the whole thing into Claude.What you get: A clear before/after story connecting AI visibility work to traffic outcomes — specific enough to present to a client or leadership team as evidence that Scrunch-driven content improvements are working.
Tips
How long before traffic follows AI visibility
How long before traffic follows AI visibility
AI citation improvements typically take 30–90 days to show up in traffic data, depending on how frequently AI engines refresh their training or retrieval indexes. Run this workflow at the 30-day mark to check for early signals, then again at 60 and 90 days for a clearer picture. Don’t write off a page because it hasn’t moved in the first month.
What counts as a meaningful correlation
What counts as a meaningful correlation
You’re looking for directional evidence, not statistical proof. If a page’s AI presence went from 10% to 45% and organic traffic grew 30% in the same period, that’s a meaningful signal — even if you can’t isolate AI as the sole cause. Be honest about confounding factors (seasonality, other content changes) when presenting the data.
AI referral traffic in Google Analytics
AI referral traffic in Google Analytics
Some AI engines pass referral data — Perplexity in particular shows up in GA referral reports. ChatGPT Browse traffic sometimes appears as well. Look for these as direct signals in your referral report. Low numbers are normal — this channel is still early. The trend matters more than the absolute volume.
Building an ongoing measurement dashboard
Building an ongoing measurement dashboard
Run this workflow monthly and save the output to Notion or Google Docs using the Monthly Client Report workflow. After 3–4 months you’ll have a longitudinal dataset showing how AI visibility changes and traffic outcomes move together over time — much more compelling than a single before/after snapshot.
Build an AI Content Brief from Keyword Rankings
Start here before creating content — combine SEO keyword data with Scrunch gaps to prioritize what to build.
Monthly Client Report
Roll this measurement into a full monthly report with competitive context and recommendations.