Gated whitepaper
The GA4 + Search Console AI Visibility Debug Sheet
For growth and analytics teams diagnosing whether AI search is helping, hiding, or distorting catalog discovery.
Summary
AI visibility does not always show up as a clean referral line in GA4. A product may be cited in an answer engine, used by an agent, surfaced through Google AI features, or excluded because a crawler could not verify the facts. Standard SEO dashboards often blur these signals with branded search, direct traffic, paid shopping, and ordinary organic impressions. This debug sheet helps analytics, SEO, and ecommerce teams investigate AI search visibility with the tools they already use: GA4, Search Console, server logs, Merchant Center diagnostics, and catalog-data checks. It focuses on practical questions: Are bots reaching the right pages? Are impressions changing for product-intent queries? Are structured data and feed eligibility aligned? Are AI-driven sessions converting differently? The PDF contains the step-by-step worksheet and annotation template.
What's inside
- The GA4 events, landing-page segments, referral patterns, and query reports to inspect when AI visibility changes.
- A debug path that separates crawler access, Search Console impressions, merchant feed eligibility, and on-site conversion quality.
- The signals that suggest an AI answer engine is citing you without sending traditional referral traffic.
- A worksheet for annotating AI crawler policy changes against traffic and conversion shifts.
- The catalog-data fixes to check before treating the issue as a pure SEO problem.