ryze-ai-adgent/open-seo-mcp-skills

ai-visibility

Measure real AI-engine visibility — traffic from ChatGPT, Perplexity, Claude, Gemini and which pages they cite — from actual GA4 referral data, not prompt sampling.

Quelltext ansehen

Verwendung

  1. Installationsbefehl kopieren und das Quellpaket vor der Installation in der eigenen Agentenumgebung prüfen.
  2. Benötigte Werkzeuge, Zugangsdaten und Hosts im Original prüfen.
  3. Eingabe und gewünschtes Ergebnis beschreiben und die Ausgabe mit den Quellen abgleichen.
npx skills add https://github.com/ryze-ai-adgent/open-seo-mcp-skills --skill ai-visibility

Vor dem Start

  • Die Installation umfasst weder Modellabo noch API-Kontingent oder Dateizugriffsrechte.
  • Sterne und Installationen zeigen Aktivität, keine unabhängige Qualitäts- oder Sicherheitsprüfung.
Originales Skill-Dokument

Aus dem Quell-Repository gerendert; Überschriften, Beispiele, Code, Tabellen, Links und Bilder bleiben erhalten.

AI Visibility

Requires

The free Ryze MCP connector (https://connector.get-ryze.ai/mcp). Claude Code: claude mcp add ryze --transport http https://connector.get-ryze.ai/mcp. claude.ai / Desktop / Cursor: add it as a custom connector with the same URL. Setup: https://www.get-ryze.ai/how-to-connect-claude-to-google-meta-ads-mcp

Every "AI visibility tracker" samples prompts and guesses. GA4 records the actual clicks AI engines send. Measure the real thing first, then diagnose.

Workflow

  1. Traffic by engine. google_analytics__getAiTrafficByEngine — sessions per AI source (ChatGPT, Perplexity, Gemini, Claude, Copilot…), current vs previous period.
  2. Trend. google_analytics__getAiTrafficDaily — is AI traffic growing, and did anything spike (a spike = something started citing you; find it).
  3. Cited pages. google_analytics__getAiLandingPages — which URLs AI engines actually send people to. These are your proven-citable pages.
  4. Referral detail. google_analytics__getAIReferrals for source-level detail and conversions — is AI traffic converting better or worse than organic.
  5. 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.
  6. 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).

Verwandte Aufgaben

aus demselben Repository

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