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Query Fan-Out Tool

Query Fan-Out Tool

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Tagline:See what LLMs actually search for your industry.
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What is Query Fan-Out Tool?

Every prompt an AI receives gets fanned out into a dozen sub-queries it runs against the live web. Paste a prompt to see the fan-out, cited sources, and a priority score on every sub-query. Built on Google's published query fan-out methodology with live Semrush data for volume, keyword difficulty, and AI Overview signals.
Query Fan-Out Tool screenshot 1

How to use Query Fan-Out Tool?

Paste a prompt your customers ask AI, click Run fan-out, then unlock the full report with your email to see every sub-query, priority scoring, cited sources, and the AI's canonical answer.

Query Fan-Out Tool Core Features

01

Map the fan-out

One prompt becomes 8 to 12 sub-queries, classified by category and intent so you can see what the LLM is really looking for.

02

Score every sub-query

Volume, keyword difficulty, AI Overview presence, and a worth-building, watch, or skip verdict on each sub-query.

03

See the cited sources

Live web results pulled for every sub-query, with the domains AI Overviews already cite.

04

Priority scoring per query

Pulls volume, KD, CPC, and AI Overview presence from real search data, then labels each query worth building, watch, or skip.

05

AI's canonical answer

Shows the synthesized response an answer engine would write from the cited pages, with numbered citations linked to the source list.

Query Fan-Out Tool Use Cases

Find which sub-queries to build content for in AI search visibility

Spot listicles and comparison pages where your brand should be cited

Prioritize GEO topics alongside traditional SEO keyword research

Analyze commercial prompts like best CRM for SaaS or B2B marketing agencies

Query Fan-Out Tool Frequently Asked Questions

How is this different from regular keyword research?

Keyword research tells you what humans type into Google. Query fan out tells you what an LLM types into Google after it reads what a human asked it. Different layer, different leverage. You should do both.

Do all LLMs fan out the same way?

No. Each model has its own reasoning chain and its own training data, so the same prompt fans out differently in ChatGPT, Claude, Perplexity, and Gemini. The terms you see here are directional. The patterns hold across models even when the exact phrasing differs.

How often should I re-run a fan-out?

Any time your prompt's context shifts — a new competitor, a product launch, or a new year. The tool injects today's date into the fan out, so a best X prompt run in 2026 will look different than the same prompt run in 2025.

What happens to my email if I unlock the full report?

You get one email a week from New Chemistry on AI search visibility. No drip, no sales touches, no list trades. Unsubscribe in one click. We don't share or sell your address.

What is this built on?

The methodology comes from Google's published patent US20240289407A1 (Search with Stateful Chat). Live web results come from a real-time SERP layer. Volume, KD, and AI Overview signals come from Semrush.

Query Fan-Out Tool Product Background & Official Links

Query Fan-Out Tool Support Email & Customer service contact & Refund contact etc.

More Contact, visit the about us page(https://queryfanout.io/)

Query Fan-Out Tool Company Info

Query Fan-Out Tool Company name: New Chemistry

More about Query Fan-Out Tool, Please visit the about us page(https://queryfanout.io/)

Query Fan-Out Tool LinkedIn

Query Fan-Out Tool LinkedIn Link: https://www.linkedin.com/in/austin-furey/

Query Fan-Out Tool Pricing & Plans

Free

Free
Free
  • Run query fan-out on any prompt
  • No credit card required
  • Unlock full report with email
  • Weekly AI search visibility email from New Chemistry
Subscribe & upgrade now

Query Fan-Out Tool Tags

FreeWeb AppFree TrialCloud-basedFor Startups

Best Suited Occupations for Query Fan-Out Tool

SEO SpecialistsWriters & MarketersSmall Business Owners

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