Judge the sourcing
See whether an answer rests on strong sources or thin ones — before you trust it.
Only in Cite
Fan-out: see the sub-queries and sources behind AI answers
Fan-out is a feature in Cite Browser that reveals the hidden sub-queries an AI engine runs behind a single answer — and every source it cites. Ask ChatGPT, Claude or Gemini a question and Cite shows you exactly how the model fanned your prompt out, and where the answer came from. No other browser does this.
The mechanic
What is query fan-out?
Modern AI engines rarely run your prompt as a single search. They expand it into several related sub-queries, gather sources for each, rank them, and then synthesise one answer.
That expansion is called query fan-out. It is the reason an AI answer can feel comprehensive — and the reason it can quietly miss or misweight a source. Cite is the only browser that brings that hidden layer into the open.
1 prompt→5 sub-queries
- what makes a browser "all-in-one"4 sources
- fastest browser benchmarks 20257 sources
- built-in ad blocker effectiveness3 sources
- vertical tabs vs horizontal tabs5 sources
- best privacy browser no account6 sources
Stop taking AI answers on faith
Seeing the fan-out turns a black-box answer into something you can actually check.
Follow the trail
Jump straight to the original material behind any claim in a single click.
Spot the gaps
Notice the angles and sources the model never considered or quietly dropped.
Understand visibility
See which domains AI engines actually cite for a topic — and which they ignore.
How to see fan-out in Cite
Four steps, no setup — it is already part of the browser.
- 1
Ask in any AI engine
Use ChatGPT, Claude, Gemini or AI search the way you already do — inside Cite.
- 2
Open the Fan-out panel
Cite reveals the sub-queries the model expanded your prompt into, side by side with the answer.
- 3
Inspect the cited sources
Every source that fed the answer is listed per sub-query, with the domains that were cited.
- 4
Act on what you learn
Open any source, copy the full citation list, or spot the gaps the model never covered.
Frequently asked questions
What does "fan-out" mean in AI search?
Fan-out is when an AI engine takes one prompt and quietly expands it into several related sub-queries, then gathers and ranks sources for each before writing a single answer. It is also called query fan-out.
How does Cite show fan-out?
When you use an AI engine in Cite, the Fan-out panel lists the sub-queries the model ran and the sources it cited for each, so you can see exactly what shaped the answer.
Which AI engines does Fan-out work with?
Fan-out is built to work across the major answer engines people use daily, including ChatGPT, Claude and Gemini, plus AI-powered search.
Why does seeing fan-out matter?
AI answers hide their reasoning. Seeing the sub-queries and cited sources lets you judge whether an answer is well-sourced, follow the original material, and notice what the model missed.
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