- What LLMs search on the web in your domain
- Where your brand is missing in the sources they consult
- Which competitors appear in those search results
- What content opportunities you should prioritize to influence LLM responses
🌐 What is Query Fan-Out?
Query Fan-Out is the process where an LLM sends several web search requests during the generation of a response.Whenever a model needs additional information, it “fans out” multiple queries to search engines like Google, Bing, or DuckDuckGo. Examples of queries triggered by LLMs:
- “Best online design tools for collaborative projects 2025”
- “Top design collaboration tools for remote teams”
- “Figma alternatives for UX teams”
➡️ https://www.qwairy.co/guides/geo-101-glossary/query-fan-out
🎯 Purpose of Search Intelligence
Search Intelligence helps you answer three essential questions:1. What topics are LLMs researching in my industry?
You see the exact queries, their frequency, and their priority level.2. Is my brand present in the sources used by LLMs?
Qwairy checks if your brand appears in the results returned for these queries.3. Which competitors dominate these searches?
You see what brands are consistently mentioned, even when you are not.🧭 Navigating Search Intelligence
From the main navigation:Insights → Search Intelligence Each item represents a real web query executed by an LLM.
Each query includes:
• Usage
How many times this query was fired by LLMs.• Competitor count
Example:10 competitors = 10 brands appear in the results sourced by the model.
• Brand Absent
Your brand is not detected in the relevant results for this query.• Providers
Which LLM triggered the query:- ChatGPT
- Claude
- Gemini
- Other
• Topics & Tags
Automatic categorization by subject and intent.• Associated prompt
The user prompt that caused the LLM to perform this search.• Actions
- Open on Google — check the actual search result
- Add to Prompts — add this query to Prompt Tracking
- Create Content — generate a content brief to fill the gap