NEWv1.17: Audited & Actionable
Qwairy
Intelligence

See the questions AI asks itself before answering your prospect.

Discover how AI decomposes your prompts into sub-queries and source searches.

See the fan-outGet a demo

120 credits free. No credit card required.

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The problem

Modern AI engines do not answer user prompts directly. They decompose each prompt into multiple sub-queries, fetch per-sub-query sources, and synthesize an answer. Optimizing for the user-facing prompt is necessary but no longer sufficient. You need to optimize for the sub-queries AI runs behind the scenes.

What it does

Query Fan-Out exposes the hidden sub-query decomposition so you can optimize content for the questions AI actually asks, not just the ones users type. Works across Perplexity, AI Overviews, AI Mode and Gemini.

Inside the feature

  • Reveals sub-queries per prompt per engine
  • Optimization opportunities at the sub-query level
  • Works across Perplexity, AI Overviews, AI Mode, Gemini
  • Feeds Content Opportunities for brief generation

Why Qwairy is different

Most tools

Optimize only for user-facing prompts.

Qwairy

See the sub-queries AI runs and optimize for them directly.

Most tools

Treat all AI responses as black boxes.

Qwairy

Reveal fan-out for Perplexity, AI Overview, AI Mode and Gemini.

Most tools

No structured brief generation from fan-out data.

Qwairy

Direct export of fan-out to Content Studio for briefs.

How it works

1

Pick a target prompt

Select any monitored prompt. Qwairy runs the query on engines that expose fan-out (Perplexity, AI Overview, AI Mode).

2

See the sub-queries

Results display the sub-queries AI executed before synthesizing its answer, plus sources fetched per sub-query.

3

Optimize per sub-query

Use the sub-query list as a structured brief for content, targeting the questions AI actually asks.

Use cases

01

Content brief inputs

For any target prompt, see the five sub-queries AI runs. Give your writers a structured outline covering every sub-query.

02

Hidden opportunity discovery

A sub-query has no authoritative source today. Publishing one positions you as the canonical citation within weeks.

03

Engine behavior comparison

Perplexity fans out differently than AI Overview. Know each engine decomposition pattern to tailor per-engine content.

FAQ

Frequently Asked Questions

Common questions about Query Fan-Out / Search Intelligence.

Perplexity, Google AI Overview, AI Mode and Gemini. ChatGPT and Claude do not expose their decomposition, so fan-out data is limited for those.

Sub-query decomposition is usually stable over weeks but can shift with model updates. Qwairy tracks changes and alerts you when fan-out for key prompts evolves.

Yes. Export to Content Studio for auto-brief generation, or to CSV for your writers.

Mostly stable over weeks. Sub-query decomposition can shift with model updates, which Qwairy tracks and alerts on.

Yes, where the engine supports the locale. Fan-out visibility mirrors engine availability per country and language.

Ready to unlock Query Fan-Out / Search Intelligence?

Start free with 120 credits and the full feature set. No credit card required.

See the fan-outGet a demo
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