What is query fan-out?

What query fan-out means

Query fan-out is a way of answering a question by searching for its parts. The tool splits the question into smaller subtopics, runs a search for each one, and then combines what it found into a single response.

A query here means a search, the words sent to a search system. A prompt is the question or instruction a person sends to an AI assistant. With query fan-out, one prompt can produce many queries.

Where query fan-out is documented

Google's guidance for site owners says AI Overviews may use query fan-out. It describes the technique as issuing several related searches across subtopics and data sources to develop a response. It also says AI Overviews may use different models and techniques, so their responses and links will vary.

OpenAI documents something similar for developers. Its web search guide says reasoning models can run web searches as part of their reasoning, review the results and decide whether to keep searching.

Why query fan-out matters to a business

For a business, this means a linked page may answer one part of a question rather than the whole of it. A page about prices, or about the towns you serve, may be read for a subtopic the customer never typed.

So it helps to think about the parts of a customer's question, not only the words they use. That is a planning habit. It does not make any page more likely to be linked.

What you can and cannot see

A saved answer usually shows the final text and its links. It often does not show the searches that produced it. A missing search record is not the same as an answer that did no searching.

Google's Search Console reports clicks, impressions and position against the query a person typed. The Google pages listed below describe query fan-out. They do not describe a way to see the searches behind a particular response.

Keep that limit in mind when you read any list of fan-out searches. It describes the answers that carried a search record, and nothing more.

How Carqo relates to query fan-out

Carqo's query fan-out view is built to read the search steps an AI assistant returned with its answers to your prompts. You see each search, the pages it read and the answer it fed.

Any search can become a tracked prompt with one press. A tracked prompt is a prompt chosen for repeated checks, asked on your schedule from then on. The view records searches beside answers and does not claim a search caused anything in them.

In practice

1. Start from one customer question Write the question in the customer's own words. Save the exact wording before you change anything.
2. List the subtopics it covers Note the parts a full answer would need, such as price, place or timing. Mark which ones your website already covers.
3. Read the searches where they are reported Compare reported searches with your list of subtopics. Treat a missing search record as unknown, not as no searching.

Sources

• Google Search Central, AI features and your website Link checked 29 October 2026
• OpenAI API documentation, Web search Link checked 29 October 2026
• Search Console Help, What are impressions, position, and clicks? Link checked 29 October 2026