The AI Tracker’s Fanout Queries Dashboard helps you understand how AI models think when searching for answers to prompts. Instead of showing you only the final AI-generated answer, they reveal the search queries AI models use to gather information.
This gives you a powerful, behind-the-scenes view into:
What concepts AI associate with your brand
Which phrases, keywords, and angles are most frequently explored
How often are certain ideas reinforced across different prompts and models
When an AI model responds to a prompt, such as “What are the best review management tools?”, it often breaks the prompt into multiple supporting search queries. These are called Fanout Queries.
Each fanout query represents a different angle the model explores when constructing a complete answer, such as tools, platforms, comparisons, features, or use cases.
You can access Fanout Queries inside the AI Tracker tool:
Open AI Tracker.
Select your project.
Select Fanout Queries from the left navigation bar.
The dashboard starts with a list of common phrases, a quick look at what’s important. The common phrases section lists all phrases that AI models repeatedly use to search for answers about your brand. Each phrase includes a score indicating how often it was used by the AI across different prompts.
By default, we’ll display phrases common throughout all LLMs available in your subscription, but you can dive into specific ones if you wish. Select the All models dropdown in the top-right corner and select the model you’d like to look into.
You can also share your results via a shareable link. Select the Share button to get the link. There, you can also reset the shareable link.
Beneath common phrases, you’ll find prompts, presented in a table that helps you understand how AI prompts and their related fanout queries are performing. It’s designed to make it easy to see how specific prompts expand into related queries, and which AI models are involved.
The main table is divided into several columns:
Prompt shows the full text of each prompt. Each row in the table represents one prompt. You can click the arrow next to a prompt to expand it and see the individual fanout queries underneath.
Fanout Queries shows how many related query variations are connected to that prompt.
Models displays icons representing the AI models where the prompt has appeared.
Times shown shows how often the prompt or its related queries have been displayed. This column can be sorted to quickly spot the most or least visible prompts.
The Group By Filter lets you change how the data is organized. You can group results by Fanout to focus on query variations, or by Prompt to focus on the main prompt itself.
In the top-right corner, the Search field allows you to quickly find specific prompts by typing in a keyword.
Once you select the “Open Details” icon next to a prompt, you get a dedicated details panel that shows you what’s happening behind a specific prompt. This detailed view helps you understand not just how often a prompt appears, but what users are actually seeing, giving you clear insight into content quality, messaging consistency, and overall AI visibility for that prompt.
In the detailed view, you will get access to two sections: Overview and Responses.
The Overview panel is a handy miniature of the main Overview section of the AI Tracker.
Navigate here to learn more about it.
In the Responses panel, you can see the exact answers generated by AI for a chosen prompt, including the most recent response by default.
The Date Range (Latest Response by default) and AI Models filters at the top-right section let you switch between AI models and select dates, making it easy to compare how outputs change over time or across models.
Fanout Queries show how AI breaks topics into related questions and how your brand appears in those contexts, directly linking AI visibility to SEO performance.
They help you:
uncover AI-relevant keyword clusters
create content that answers multiple supporting questions, making you a topical authority
align your efforts with how both search engines and AI models understand your brand
Tracking Fanout Queries reveals how AI interprets your product, what it associates with your brand, and where visibility can be improved across AI-generated answers and search results.
Monitor Fanout Queries regularly to detect changes in AI and search interpretation
Prioritize high-frequency queries, as they influence both AI responses and SEO visibility
Use insights to expand existing content or create supporting pages that strengthen topical authority
Compare Fanout Queries across prompts to ensure consistent messaging for AI and search engines
