How to Use ChatGPT Query Fanouts in 2026
Query Fanount Changes
A query fanout is when ChatGPT turns one prompt into web searches. Before, this often meant multiple query fanouts per prompt. Now, the current pattern is frequently 1 prompt to 1 query fanount.
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best noise cancelling headphones 2026Average Fanouts Per Response
Average fanouts per response. Since Apr 8, this has moved closer to one query per response, signaling leaner fanout behavior after a period of low activity.
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Query Fanouts Examples
Real examples of fanout queries generated from the same input prompt. Recent entries (Apr 8 and later) are highlighted to show the return of fanouts and the more branded query style.
Input Prompt
what are the best property platforms for buying a second home in europe
| Fanout Query | Date |
|---|---|
best european property websites buy house europe platforms | Apr 10 |
best property websites europe real estate portals europe | Apr 8 |
best property websites europe international property portals second home europe property search international sites | Mar 4 |
top real estate websites for buying property in europe for foreign buyers second home listings europe | Mar 4 |
best european real estate websites to buy property second homes europe property portals europe real estate listings | Mar 3 |
major property platforms like idealista zoopla immoscout24 green-acres etc europe property listings to buy homes europe | Mar 3 |
best property websites for buying property in europe international buyers real estate listings europe | Feb 26 |
popular european real estate portals like idealista, green-acres, rightmove international property search europe sites | Feb 26 |
Updated Vocabulary for Recent Data
The most frequently occurring words in ChatGPT's fanout search queries, organized by type. Larger words appear more often, revealing what kinds of terms ChatGPT prioritizes when searching the web.
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Query fanounts are getting shorter
The average number of words in each fanout query per day. Longer queries may indicate more specific or complex search behavior.
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How we collect this data
We collect millions of prompt responses, citations, and click data from the actual user interfaces of major AI platforms — over 2.1 billion data points and growing. This gives us one of the largest and most authentic datasets on how AI search engines cite sources and recommend brands.
Real UI monitoring
We collect data from the interfaces of ChatGPT, Gemini, Perplexity, Claude, AI Overviews, and more — the same results hundreds of millions of users see daily.
2B+ data points
Our dataset spans over 2 billion analyzed citations, prompts, and responses — giving us one of the largest AI search datasets available.
Aggregated & public
We publish these reports freely so the GEO and AI search community can learn from the data. All reports are based on aggregated, non-identifiable trends.
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