When you ask ChatGPT a question, it doesn't just answer from memory. It generates several related queries and searches the web using those queries before synthesizing its response. We call these intermediary searches "query fanouts" — and they're a critical blind spot for most brands.
The problem: your brand might rank well for the user's actual question, but if the AI expands that question into sub-queries that you're invisible for, your content won't make it into the final response. Query Fanouts makes this invisible process visible.
How Query Fanouts works
- For each tracked prompt, we capture the sub-queries ChatGPT generates during its retrieval process
- We show you which sub-queries your brand appears for and which you're missing
- We identify the highest-volume fanout patterns for your category
- Content recommendations target your highest-priority fanout gaps
In our beta testing, brands that optimized specifically for their highest-volume fanout patterns saw 40-60% improvements in final response citation rates within 60 days. Query Fanouts is available to all Enterprise customers starting today.