AI Search
Query Fan Out Analyzer
Enter a question a customer may ask an LLM,
and see AI's pre-search fanout.
What this output means
LLMs often use two search modes: Organic SERP and Local Search.
If the query has local intent, they use both to synthesize the answer.
This is the first step in AI's research process.
Organic SERP (blue links)
Queries designed to pull standard web results, often called “blue links.” This is the most common search type.
Local Search (map pack)
Business-style searches that include a location. These typically surface local “map pack” results and nearby listings.
How we generate fan-outs
We mimic an AI research environment (using leaked system prompts) as it exists in the wild, then call search tools with the queries. Instead of running searches, our tool captures the tools fan-out inputs.
- 1
You provide query + (optional) location
We pass your inputs into the model exactly once.
- 2
Model fans out into search intents
It chooses organic SERP queries and, when relevant, local business searches.
- 3
Tools are captured, not executed
Our web_search and business_search only record the arguments and return them.
Who is this for?
SEOs, marketers, and local businesses who want to understand the queries AI may use when researching a topic or service.
Built by Serbyte Development