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Query Fan-Out Simulator

See how AI search engines decompose your keyword and check your content coverage

Simulate AI query fan-out

Takes ~10 seconds

Decomposes your keyword into 8-12 sub-queries and checks your sitemap for coverage.

AI search engines don't answer queries with a single lookup. They decompose each keyword into 8-12 sub-queries covering different intents — definitional, comparative, how-to, pricing, alternatives, and more. If your site doesn't cover these sub-queries, AI models will cite competitors instead. This simulator shows exactly which sub-queries your content covers and where the gaps are.

See the exact sub-queries AI engines generate for your keyword with intent classification.
Identify content gaps where competitors will be cited instead of your site.
Get a coverage score showing what percentage of AI sub-queries your sitemap addresses.

How it works

Get started in 3 simple steps

1

Enter a target keyword and your domain URL.

2

The simulator fetches your sitemap, decomposes the keyword into 8-12 AI sub-queries, and matches each against your pages.

3

Review per-query coverage results with matched URLs and identify content gaps to fill.

Best use cases

Built for teams that take AI visibility seriously

1

Content strategists identifying which sub-topics to cover for a target keyword.

2

SEO teams auditing topical coverage against AI search decomposition patterns.

3

AEO strategists prioritising new content creation based on AI query coverage gaps.

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FAQ

Frequently asked questions

What is query fan-out?

Query fan-out is the process AI search engines use to break a single query into multiple sub-queries. For example, 'best CRM software' might fan out into sub-queries about pricing, features, comparisons, reviews, and use cases. AI engines gather answers to all sub-queries before synthesising a response.

How does this tool work?

It fetches your sitemap to build a page inventory, then uses AI to generate realistic sub-queries for your keyword. Each sub-query is matched against your pages to determine coverage. The coverage score reflects what percentage of sub-queries your site can answer.

Why does content coverage matter for AI visibility?

AI engines cite sources that cover the most sub-queries. If your competitor covers 10/12 sub-queries and you cover 4/12, the AI will predominantly cite your competitor. Filling content gaps directly increases your AI citation share.

What's a good coverage score?

75%+ (grade B or A) indicates strong topical coverage. Most sites score 30-50% on first check. Focus on creating content for uncovered 'definitional' and 'how-to' sub-queries first — these are cited most frequently.

Does this need a sitemap?

Yes, the tool requires a publicly accessible sitemap.xml or sitemap_index.xml. Without a sitemap, it cannot determine which pages your site has. Most CMS platforms generate sitemaps automatically.

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