New
Sep 01, 2026
Introducing Query Fanouts in AI Search: Understand How Prompts Expand into Search Variations
AI Search now provides Query Fanouts to help businesses understand how their tracked prompts are transformed into different search queries across AI platforms. Teams can review the generated query variations, compare query volume across platforms, and analyze how words are added, dropped, or preserved.
Why we built this:
- Businesses needed greater visibility into how their tracked prompts are expanded into different search variations.
- Teams wanted to understand the different ways users may phrase searches across AI platforms.
- Businesses needed a way to analyze query transformations and identify patterns in how AI platforms interpret and expand prompts.
Key capabilities:
- View multiple query variations generated for each tracked prompt.
- Compare query fanouts across ChatGPT, Gemini, Claude, and more.
- Review query count and average queries generated per execution.
- Analyze unique query variations and their share of total generated queries.
- View added words, dropped words, and preserved words to understand how prompts change.
- Filter query fanout data by location.
- Select different time periods to analyze query fanout activity.
- Generate AI-powered summaries of query fanout data.
- Download, email, or schedule query fanout reports.
Outcomes:
- Understand how AI platforms expand and interpret your tracked prompts.
- Identify the search variations associated with your business and customers' potential search behavior.
- Compare query generation patterns across AI platforms and locations.
- Gain deeper insight into how prompt wording changes across generated queries.
- Use query fanout data to make more informed decisions about your AI Search strategy.