Use case

Work out what to publish

Deciding what to publish for AEO means starting from the sub-queries engines actually run behind buyer questions, and the sources they already cite, rather than from keyword volume.

The problem

Keyword tools describe what people type into Google. Answer engines do not work that way: they decompose a question into narrower queries, retrieve sources for each, and compose an answer. Optimising for the original question misses the layer where citations are actually won.

So teams publish more, rank fine, and still never get cited. The content was answering a question the engine never ran.

How it works

  1. Start from the fan-out

    Query fan-out analysis shows the sub-queries engines ran behind each of your prompts, aggregated across engines, countries and dates so you can see which recur rather than reacting to one sample.

  2. Look at what already gets cited

    The pages engines pull for those questions tell you the format and depth that wins in your category, which is often not what your content calendar assumes.

  3. Check your own pages honestly

    Owned citations show which of your URLs get pulled in and which are ignored. This is usually the uncomfortable part and the most useful.

  4. Prioritise instead of writing everything

    Citation Impact ranks the pages carrying your presence, so the next brief goes where it compounds rather than being spread evenly.

What you see

Who it's for. Content and SEO leads who have run out of ideas from keyword tools and want the questions the engines are asking themselves.

What this uses

This job leans on these parts of the platform.

Feature

Query fan-out analysis

The hidden sub-queries an engine runs behind a question, so you can write for what it actually searched.

Feature

Owned citations

Which of your own pages AI engines actually cite, and which ones they ignore.

Feature

Citation Impact

The handful of pages carrying your presence in AI answers, so effort goes where it counts.

Frequently asked questions

Why not just use keyword research?

Keyword tools tell you what people type into a search box. Engines search their own generated sub-queries, which is a different and usually narrower set. Both are useful; only one of them tells you why you did or did not get cited.

Does this tell me exactly what to write?

It tells you which questions recur, what already gets cited for them, and where your own pages fall short. The brief is still yours to write.

How is this different from the AI Index?

The AI Index is a free public view of what engines recommend by industry. This is the same idea run against your prompts, your competitors and your own pages.

Related

Use case

Prove AEO is working

Turn daily tracking into a number you can put in front of leadership.

Use case

Find out if a rival is beating you

See who AI names instead of you, on which questions, in which countries.

See where you stand in AI answers

Start a free trial and track your first prompts across AI engines today.

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