Query fan-out
Enter one prompt and Leadee shows the sub-queries an AI engine is likely to expand it into before answering, each tagged with its own intent — the coverage gaps here are what a single page answering only the literal prompt will miss.
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Example result
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At a glance
- 2 items
- What it checks
- 3
- Questions answered
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- To get a result
- What does AI say?
- Answers
What does it check?
The sub-queries an AI engine is likely to
The sub-queries an AI engine is likely to expand your prompt into
Each sub-query's own intent
Each sub-query's own intent
What does a result look like?
2 sub-queries
- Sub-query: "the best CRM definition"
- Sub-query: "how the best CRM works"
- Both informational intent
Sample from a real run, 14 Nov 2026.
How do I read and fix the result?
Each sub-query is a related question your content needs to cover, not just the headline prompt — a page that only answers the literal prompt will miss anything these sub-queries ask.
Enter one prompt you already track or care about.
Read the sub-queries it expands into and each one's intent.
Check whether your page already answers each sub-query, not just the headline prompt.
Add a short answer for any sub-query your page is missing.
Who is it for?
Marketing and content teams
Pages and prompts that decide what AI engines quote.
Agencies
Client content checked for what AI answer engines actually say.
Distributors
Product listings AI engines summarise for buyers.
What are the limits?
What are the limits?
This shows the likely expansion for one prompt; it does not check your own pages for coverage gaps against these sub-queries — that match is a paid feature under a tracked prompt.
Questions
What is query fan-out?
Modern AI answer engines rarely answer a prompt literally — they expand ("fan out") it into several related sub-queries, gather evidence for each, then compose one answer. Google documents this "query fan-out" technique for both AI Overviews and AI Mode (https://developers.google.com/search/docs/appearance/ai-features). Seeing that expansion shows which related questions your content needs to cover, not just the headline prompt.
How is this different from prompt research?
Prompt research generates a whole new prompt set from a keyword or brand. Query fan-out takes one prompt you already have and shows what an AI engine expands it into — useful once you already know the prompt you care about.
Can I check fan-out coverage against my own pages?
Not in this free tool — that match against your indexed pages (coverage gaps, matched URLs) is the paid Query Fan-Out feature under a tracked prompt.
Can GEO guarantee results?
No. AI answer engines change their output frequently, and no vendor — including Leadee — can guarantee a ranking or a mention. Leadee publishes confidence intervals on every metric so you can see how much a result can vary run to run.
How does Leadee measure AI visibility?
Leadee runs your prompt set against each AI engine on a weekly to daily schedule, depending on plan, through official vendor APIs (OpenAI, Gemini, Perplexity, Anthropic, DataForSEO) — never by scraping consumer chat interfaces — and reports mention rate, citation rate, average position, share of voice and sentiment with a 95% confidence interval.
Who do I talk to?
Email support@leadee.ai or use Talk to an expert at https://leadee.ai/contact-sales — the Netbase JSC team behind Leadee replies by email or WhatsApp — or WhatsApp the CEO directly at https://wa.me/84937869689.
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Match fan-out coverage against your own pages.
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