What is query fan-out?

Query fan-out is the set of internal searches an AI platform runs while composing an answer to your prompt. Quratic captures these sub-queries so you can see what the model looked for before recommending brands.

How is query fan-out different from prompt tracking?

Prompt tracking monitors your chosen questions. Query fan-out reveals the additional searches the AI runs behind the scenes — often surfacing topics and keywords you had not thought to track.

How is this different from Profound’s Conversation Explorer?

Both surface what people ask AI. Quratic derives fan-out from the actual responses to your tracked prompts, collected on local IPs in Asian markets — so the queries reflect your category and your countries, not a global aggregate.

Do I need to configure anything to capture fan-out?

No. Fan-out is captured automatically whenever your prompts run, so the data builds up across every collection cycle without extra setup.

Platform capabilities / Query fan-out

Query fan-out

See the sub-queries AI platforms run internally when answering your prompts — the searches behind the answer.

Get started

The problem

When someone asks ChatGPT “what is the best CRM for startups in Singapore,” the model rarely answers from memory. It silently fans the question out into several narrower searches — "top CRMs 2026," "CRM pricing comparison," "best CRM for small business Asia" — and assembles the answer from what those searches return. If you only track the final response, you are blind to the queries that actually decide which brands get named.

How Quratic helps

Quratic extracts the internal queries and related SERP searches behind every AI response. You see which sub-queries recur across your prompts, which models trigger them, and whether your brand is cited in the fan-out results — turning the hidden middle layer of AI search into a concrete content and keyword roadmap.

Query fan-out panel showing internal sub-queries triggered by AI prompts

What you get

Reveal the hidden query layer

See the real searches models run mid-answer — the demand signal that sits between your prompt and the brands that get recommended.
Find recurring sub-queries

Identify the questions that show up again and again across prompts and models, so you can prioritise the content that influences the most answers.
Spot the gaps you never tracked

Fan-out surfaces topics and keywords you would never have added manually — the blind spots competitors are quietly winning.

How it works

1

Run your prompts as usual

No extra setup. Fan-out is captured automatically during normal collection across your chosen models and markets.
2

We extract internal queries

Quratic parses each response for the model’s internal searches and any related SERP queries it surfaced.
3

Prioritise by frequency

Top queries are ranked by how often they recur and whether your brand was cited — a ready-made content backlog.

Why it matters in Asia

Fan-out queries are language- and market-specific. A Bahasa prompt in Indonesia or a Japanese prompt in Tokyo fans out into local-language searches that hit local sources — patterns a US-collected tool will never see. Because Quratic collects from local IPs in each market, the sub-queries you discover are the ones real buyers in that country are driving.

Related terms

Related capabilities

AI visibility tracking AI citation intelligence Share of voice Sentiment tracking

Frequently asked questions

What is query fan-out?: Query fan-out is the set of internal searches an AI platform runs while composing an answer to your prompt. Quratic captures these sub-queries so you can see what the model looked for before recommending brands.
How is query fan-out different from prompt tracking?: Prompt tracking monitors your chosen questions. Query fan-out reveals the additional searches the AI runs behind the scenes — often surfacing topics and keywords you had not thought to track.
How is this different from Profound’s Conversation Explorer?: Both surface what people ask AI. Quratic derives fan-out from the actual responses to your tracked prompts, collected on local IPs in Asian markets — so the queries reflect your category and your countries, not a global aggregate.
Do I need to configure anything to capture fan-out?: No. Fan-out is captured automatically whenever your prompts run, so the data builds up across every collection cycle without extra setup.

Ready to see how AI describes your brand?

Create an account and start tracking how AI platforms mention your brand across Asia.