How to use Query Fanouts

Query fanouts aren't just interesting data: they're actionable insights you can use to improve your AI visibility. Here are the most effective ways to put them to work.

Discover hidden prompts you should be tracking

If you're monitoring AI visibility for a keyword, don't stop there. Look at the fanout queries to discover related prompts worth tracking separately.

For example, if you're tracking:

Fanouts might reveal you should also track:

Strengthen your pages with fanout keywords

Fanouts often contain surprising keywords that the AI uses when searching for your topic. These are exactly the terms you should be incorporating into your content.

A practical example: if "Nederland 2026" appears repeatedly in your fanout queries, that's a clear signal to add the current year and country to your page's meta title, meta description, H1, and body content.

• Add the current year to your page titles, headings, and meta descriptions to match freshness-seeking fanouts

• Add location names if fanouts include a country or city that your page doesn't currently mention

• Add specific product names, comparisons, or alternatives that frequently appear in fanouts

Build content around retrieval paths

Instead of relying on a single page, think about building a cluster of content that covers the full range of topics an AI might explore in your space.

For example, if you sell HR software, rather than one page for "Best HR Software", consider creating dedicated pages for:

This increases the probability that your brand gets retrieved somewhere in the fanout chain, even if you're not the top result for the primary prompt.

Find missing entities

Fanouts often reveal entities, brands, locations, topics. That AI models expect to see associated with a subject. If your content is missing these entities, AI models may overlook you even if your homepage performs well in traditional search.

For example, if you're an SEO agency in Belgium and the fanouts for "Best SEO agencies in Belgium" include:

...and your website has no dedicated pages for reviews, pricing, or case studies, AI models may not retrieve your brand for those sub-queries, limiting your overall visibility.

Spot intent mismatches and create new pages

Sometimes a fanout query has a completely different intent than your original prompt. This is a signal that a separate, dedicated page would serve that query better than your existing content.

Example: You're tracking "CRM software for small businesses" but a fanout keeps surfacing "CRM software pricing comparison". If you don't have a pricing page, that's an opportunity, create one and optimize it specifically for that query.