# QueryFanOuts

> QueryFanOuts is a tool for analysing Google Search Console query data to detect query fan-out patterns, classify search intent, and generate content recommendations optimised for AI-powered search engines including ChatGPT, Perplexity, Google AI Overviews, and Microsoft Copilot.

## What Is Query Fan-Out?

When a user submits a query to an AI search engine, the system decomposes it into multiple parallel sub-queries, retrieves information for each one simultaneously, and synthesises a comprehensive answer. This process is called query fan-out. Content that does not appear in the sub-queries will not be cited in the final answer.

QueryFanOuts helps you identify which of your GSC queries trigger fan-out, what sub-queries are generated, and what content gaps need to be filled.

## Pages

- [Homepage](https://queryfanouts.com/homepage.md): Full product overview, how it works, features, FAQ, and key concepts around query fan-out optimisation.
- [Privacy Policy](https://queryfanouts.com/privacy): How we collect, use, and protect your data.
- [Terms of Service](https://queryfanouts.com/terms): Terms governing use of the QueryFanOuts platform.
- [Accessibility](https://queryfanouts.com/accessibility): Our accessibility commitment and standards.

## How to Use QueryFanOuts

1. Export your Queries report as a CSV from the Google Search Console Search Results page (Queries tab > Export > Download CSV).
2. Upload the CSV at queryfanouts.com/dashboard/upload along with your email address and project name.
3. Receive a magic link by email to verify your account and view your personalised dashboard.
4. Review intent classification, fan-out detection, entity extraction, and content gap recommendations.

## Key Concepts

- **Query fan-out**: The decomposition of a single user query into multiple parallel sub-queries by an AI search engine.
- **Fan-out detection**: Identifying which queries in your GSC data are likely to trigger fan-out and what sub-queries will be generated.
- **Intent classification**: Categorising queries as informational, navigational, transactional, commercial, investigational, or conversational.
- **Entity extraction**: Identifying the brands, products, topics, and locations within a query.
- **Content gap**: A sub-query generated by fan-out that your existing content does not adequately answer.

## Optional

- [Sitemap](https://queryfanouts.com/sitemap.xml)
- [Robots](https://queryfanouts.com/robots.txt)