See what ChatGPT actually searched before you decide where to compete
Query Fan-out analysis breaks apart the multiple web search queries ChatGPT fans out to while answering a single question, groups them into demand themes, and connects each entry to competing brands, appearances, and citations.
Not a survey or keyword list. Evidence of what AI searched before answering.
Read AI retrieval behavior from 439 captured Search Entries
Popular Searches shows what ChatGPT looks up most. Demand Themes groups fragmented queries into intent. Brand Battlefield shows who covers the most search entries and earns citations.
A full evidence chain, not another visibility score
AI Search breaks the “why did AI answer this way?” problem into operational layers: search entries, triggering prompts, demand themes, brand overlap, and citation strength.
Start with the queries AI actually searched
Search Entry Details expands each query by frequency, prompt coverage, and co-appearing brands. Teams can filter high-frequency entries and see whether they represent tool recommendations, comparisons, pricing research, or solution demand.
Turn scattered queries into buyer demand, not a 400-row table
Demand Theme Detail puts Search Entries, Triggering Prompts, and Brands into one drill-down surface. It does not just count keywords; it explains which needs AI is trying to satisfy.
Capture real ChatGPT web search entries
Group fragmented queries into Demand Themes
Benchmark brand coverage, appearances, and citations
Drill into each Search Entry by frequency, prompts, and competing brands
Then see who owns the broadest AI search surface
Query breadth, appearances, and citations in one view separate occasional mentions from brands that cover most of the search surface. That is closer to competitive reality than a single prompt rank.
For execution, it points to three moves
The page should help SEO, content, PR, and product marketing decide what to fix next, not just admire a dashboard.
Fill missing themes with pages, FAQs, or product explainers for high-frequency Search Entries
Build trusted proof across reviews, lists, communities, and media AI already cites
Close competitor gaps where query breadth is low but demand is high