umoren.ai on PR TIMES: Free Query Fan-Out Visualization Tool

Queue has released a free tool that surfaces query fan-out—the internal search breakdown generative AI uses. It extracts the queries Gemini actually ran and supports data-driven LLMO planning.
Queue announces free Query Fan-Out Visualization Tool on PR TIMES
A press release on the free Query Fan-Out Visualization Tool—which surfaces the search-query breakdown generative AI runs behind the scenes—has been published on PR TIMES.
Now live on PR TIMES
On February 5, 2026, Queue released the "Query Fan-Out Visualization Tool" as part of its AI search optimization service umoren.ai, and the announcement was distributed on PR TIMES.
The tool is an industry first in Japan: it extracts and shows the search queries Gemini actually used internally, as real data.
Background: generative AI doesn't search your question as-is
ChatGPT, Gemini, and similar systems don't look up a user's question verbatim.
They break it into multiple searches, gather information through query fan-out (Query Fan-out), then compose an answer.
That breakdown has stayed opaque, which led to problems such as:
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not knowing which keywords help you get cited by AI
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not seeing why competitors get recommended
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building content on guesswork
Those gaps made planning harder than it needed to be.
What the Query Fan-Out Visualization Tool does
Enter a prompt and the tool surfaces:
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the search queries Gemini actually ran internally
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how search intent was split
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which domains were referenced
so the full fan-out path is visible.
The key difference: you get real search-query data used by generative AI, not a simulation.
Key capabilities
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Capture executed fan-out queries
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Visualize how search intent is decomposed
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Show referenced domains
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Inform AI search–optimized article design
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Export data as CSV
That shift moves teams from guesswork-based AI search work to data-driven AI search optimization.
Where teams use it
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Pinpoint why a service isn't cited or mentioned in AI search
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See which search queries bring competitors into answers
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Design titles and structures for AI search
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Validate LLMO (AI search optimization) results
What's next
Next up: broader model support including ChatGPT,
plus features such as correlation analysis between query fan-out and citation rates.
Queue is pushing AI search work that runs on structure and data—not gut feel.
Service overview
Tool name: Query Fan-Out Visualization Tool
Launch date: February 5, 2026
Price: Free
👉 PR TIMES article
https://prtimes.jp/main/html/rd/p/000000015.000147944.html
👉 Tool page
https://umoren.ai/en/free-tools/query-fanout
Queue will keep helping companies design information for the generative AI era.
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