Question 1

What is query fan-out?

Accepted Answer

Query fan-out is what AI engines do before answering: they break a prompt into several smaller searches, run them, and build the answer from those results. Those queries shape the answer, so tracking them shows what shaped it.

Question 2

What does query fan-out look like in practice?

Accepted Answer

A prompt like "what is the best CRM for a small team" typically fans out into searches such as a comparison query, a pricing query, and a review query for specific brands. Citlyze shows the actual set per tracked prompt and engine, so you work from real examples rather than guesses.

Question 3

How does query fan-out change SEO?

Accepted Answer

Ranking for the visible prompt is no longer the whole game: the pages an engine reads come from the fan-out queries. Content that ranks for those sub-queries gets read, cited, and paraphrased into answers. The SERP gap view exists exactly for this: it shows which fan-out queries you rank for on Google and which competitors own.

Question 4

What is LLM query fan-out?

Accepted Answer

The same mechanism applied by LLM-based assistants: ChatGPT, Gemini, and others expand a prompt into search queries before composing a response. Different engines fan out differently and report it with very different fidelity, which the coverage view makes explicit.

Question 5

How does query fan-out relate to content clusters?

Accepted Answer

Fan-out queries are a ready-made cluster plan. The recurring themes across your prompts' fan-out show which subtopics engines keep searching for, and a page per recurring sub-query is a cluster built from observed demand instead of keyword-tool guesses.

Question 6

What is the difference between captured and modeled fan-out?

Accepted Answer

Captured queries are the ones a provider reported while answering your tracked prompt. Modeled variants are Citlyze's predictions for engines that expose nothing. The two are labeled and kept apart, so you know whether you are looking at an observation or an estimate.

Question 7

Does Google AI Mode use query fan-out?

Accepted Answer

Yes. Google has described AI Mode as issuing multiple related searches behind a single question, and its answers draw on those results. Google does not expose that fan-out per answer, which is where modeled variants and the weekly Google rank check fill the gap.

Question 8

How do I track query fan-out for my own prompts?

Accepted Answer

Add your buyer prompts to a Citlyze workspace and fan-out fills in automatically as tracking runs: no extra setup. Captured queries appear per prompt and engine, and the insights view aggregates themes, brand mentions inside queries, and the SERP gap.

Question 9

How many SERP-gap queries are included?

Accepted Answer

The weekly Google rank check covers your most frequent fan-out queries: 25 on Growth and 50 on Pro and above. Captured and modeled fan-out itself is included in every plan.

Question 10

How is this different from the free fan-out simulator?

Accepted Answer

The free simulator models what a prompt would likely fan out into; it is a simulation and says so. The product captures what engines ran for your tracked prompts, adds modeled coverage where providers report nothing, and checks Google rankings for those queries weekly.

See the query fan-out behind every AI answer

The real queries providers ran

Coverage where providers stay silent

Where Google ranks you on those queries

Query fan-out

Does AI recommend you when buyers ask?