⚡ Semantic SEO Engine

Query Fan-Out Analyzer

Capture the Relevance Bubble — discover the exact sub-queries AI systems generate when grounding responses in Google Search.

🎯 Analysis Configuration
📡 Statistical Sampling in Progress
Iteration 0 / 20 0 queries collected
📊 Query Frequency Distribution
📖 How This Tool Works

🔍 What is "Query Fan-Out"?

When Google's AI (like AI Overviews or Gemini) needs to answer a question, it doesn't just look up one thing. It breaks the question into multiple sub-queries and searches Google for each one. This is called "Query Fan-Out".

For example, if someone asks about "Line Array Lautsprecher", the AI might internally generate and search for:

  • Line Array Lautsprecher Preisvergleich 2025
  • Line Array Lautsprecher Test
  • Vor- und Nachteile von Line Array Lautsprechern
  • Beste Line Array Lautsprecher für Veranstaltungen
  • Line Array vs Point Source Lautsprecher

These are the actual Google Search queries the AI fires off behind the scenes. This tool captures them.

⚙️ How the App Works

  1. You enter a topic (e.g., "Line Array Lautsprecher")
  2. It asks Gemini the same question 20 times with Google Search grounding enabled
  3. Each time, Gemini actually searches Google and the API reveals which search queries it used
  4. It counts how often each query appears — high-frequency queries form the "Relevance Bubble"

🔄 Why 20 Iterations?

A single run is unreliable — the AI generates different sub-queries each time. By running 20 times and counting frequencies, you get statistical confidence about which queries the AI consistently uses. The high-frequency ones (≥5/20) represent what Google considers essential to your topic.

📈 Why This Matters for SEO

The high-frequency queries represent what Google's AI believes are the essential sub-topics of your keyword:

Query Frequency Meaning
Lautsprecher Vergleich 18/20 Google considers a comparison essential
Lautsprecher Preise 15/20 Pricing information is expected
Line Array vs Point Source 12/20 This comparison is core to the topic
Aufstellung Tipps 3/20 Nice to have, but not critical

⚠️ The "Fallback" Problem

If your page doesn't cover a high-frequency sub-query, Google "falls back" to a competitor's page:

  1. Google's AI searches for "Line Array Lautsprecher Preisvergleich"
  2. Your blog doesn't mention pricing
  3. Google pulls that information from a competitor's page — you lose visibility

🎯 Gap Analysis = Your Action Plan

When you paste your blog draft into the tool:

  • ✅ Covered queries: Sub-queries your draft already addresses
  • ❌ Missing queries (gaps): High-frequency queries your draft does NOT cover
  • 🏗️ Fallback hierarchy: For each gap, which broader topic Google falls back to — often your competitor

💡 In Summary

Input Your target keyword + blog draft
Process 20× AI-grounded Google searches → frequency analysis
Output Which sub-topics Google considers essential, which your draft covers, and which gaps let competitors steal your traffic

It's essentially reverse-engineering what Google's AI thinks your topic is about, so your copywriter can cover the entire "Relevance Bubble" and prevent fallback to competitors.