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Query Fan-Out Generator

Enter a prompt to discover the actual search queries that Gemini uses internally when answering your question. Understand how AI expands your query into multiple searches. See what searches AI actually performed—not generated, but measured from actual execution logs.

Gemini Search GroundingMultiple Queries ExtractedCSV Export

What is Query Fan-Out?

When you ask an AI assistant a question, it doesn't just search for your exact query. Instead, it "fans out" your single question into multiple related searches to gather comprehensive information. This tool extracts and visualizes the actual internal search queries that Gemini (with Google Search grounding enabled) used, showing you the real queries that were executed—not generated ones, but actual measurement-based analysis.

01

Enter Your Prompt

Type any question or prompt you want to analyze. Complex queries with multiple aspects work best.

02

Gemini Processes

Gemini with Google Search grounding processes your prompt and uses multiple search queries that were actually executed during the answer generation process. This tool extracts queries based on those execution logs.

03

View Fan-Out Queries

See all the individual search queries that were used to gather information for your answer.

Why Query Fan-Out Matters for SEO

Understanding what queries AI actually executed—not what it might think, but what it actually searched—is the most important insight for LLMO and AI search optimization. By basing your strategy on actual queries that LLMs executed (not speculation or generation), you can design content that gets cited and recommended by AI.

Content Coverage

One prompt triggers 5-15 different searches on average. Your content needs to be discoverable across all these variations.

Keyword Strategy

Discover the exact phrases AI uses to find information. Use these queries to inform your content strategy.

Competitive Analysis

See which sources are cited for each fan-out query. Identify opportunities where your competitors are being mentioned but you're not.

Content Gap Analysis

Identify sub-topics within a main query that you may not be covering. Each fan-out query represents a potential content opportunity.

Frequently Asked Questions

Q

What is query fan-out?

A

Query fan-out is the process where AI assistants like Gemini expand a single user query into multiple related search queries to gather comprehensive information. Instead of searching for just what you asked, AI searches for many related terms to provide a more complete answer. This tool extracts and visualizes the actual search queries that Gemini executed during answer generation. It's not about generated queries, but actual measurement-based analysis.

Q

How many fan-out queries are typically generated?

A

Research shows that Gemini uses an average of 9 fan-out queries per prompt, with some complex queries generating up to 28 different searches. This varies based on the complexity and specificity of your original question.

Q

How can I use this for SEO?

A

Use the fan-out queries to understand what terms AI uses to find information about your topic. Ensure your content covers these variations. If a fan-out query returns competitor content, that's a content gap you should address.

Q

Why are some prompts showing no fan-out queries?

A

Simple or conversational prompts may not trigger web search. Gemini may answer directly from its training data. Try more specific, factual, or recent-event questions that require current web information.

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