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Analysis of 70K Google Gemini Fan-Out Queries Reveals Search Patterns

TL;DR

Researchers analyzed 70K+ Google Gemini API fan-out queries across 9,000 prompts, finding Google averages 9.06 queries per prompt with significant industry variation.

Key Points

  • Google uses average 9.06 fan-out queries per prompt; 59% of results contain 5-11 queries, max observed was 28
  • Software industry has highest fan-out rate (11.7 avg), Local lowest (3.79 avg); fan-out queries average 6.7 words
  • Most common patterns: year-based searches (2024/2025), review-focused queries, and comparison terms like 'vs' for product evaluation
  • Data extracted via Gemini API's webSearchQueries output; methodology replicated previous ChatGPT search analysis on same 9K prompt set

Why It Matters

Understanding AI search fan-out patterns is critical for SEO and content strategy as AI engines like Google's AI Mode increasingly mediate search results. Developers and marketers can now optimize for the specific multi-query patterns AI systems use rather than single traditional searches, fundamentally changing content discovery and ranking strategies.
Full research analysis with data breakdowns

Source: nectivdigital.com