majiayu000 AI Visibility
Every "AI visibility tracker" samples prompts and guesses. GA4 records the actual clicks AI engines send. Measure the real thing first, then diagnose.
Workflow
- Traffic by engine.
google_analytics__getAiTrafficByEngine— sessions per AI source (ChatGPT, Perplexity, Gemini, Claude, Copilot…), current vs previous period. - Trend.
google_analytics__getAiTrafficDaily— is AI traffic growing, and did anything spike (a spike = something started citing you; find it). - Cited pages.
google_analytics__getAiLandingPages— which URLs AI engines actually send people to. These are your proven-citable pages. - Referral detail.
google_analytics__getAIReferralsfor source-level detail and conversions — is AI traffic converting better or worse than organic. - Diagnose the winners. Read the top 2–3 cited pages (fetch them). Note the pattern: direct answers high on the page, stats/definitions, clean headings, schema. That pattern is the citation recipe for this site.
- Find the misses. Cross-reference with
google_search_console__runRawSearchAnalytics: pages with strong organic queries but zero AI referrals — candidates to restructure toward the citation recipe from step 5.
Output
Verdict (AI traffic share of organic, trend, top engine), then: engine table, cited-pages table with conversions, the citation recipe observed on winning pages, and a top-5 list of pages to restructure. Keep it concrete — name the pages and the exact change.
Fallback
If the GA4 AI-traffic tools aren't available in the workspace, build the same report with google_analytics__runRawReport filtered on sessionSource matching known AI referrers (chatgpt.com, perplexity.ai, gemini.google.com, claude.ai, copilot.microsoft.com).