Based on what buyers actually ask
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Query fan-out analysis
One prompt, many searches: see the query fan-out
AI engines rarely answer a prompt with a single search. They break it into sub-queries and build the answer from what those return. WriteWorks maps the fan-out behind every prompt you track, so you can see the long-tail intent your content has to cover to be part of the answer.
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Claude and MCP clients The challenge
Why the headline prompt is not enough
Engines search more than they show.
You optimise for the prompt, engines search the sub-queries
A page written for the headline question can miss the narrower searches an engine actually runs to assemble its answer, and never get pulled in.
The long tail behind a prompt is invisible
Prompt tracking shows whether you appear. It does not show the specific angles, comparisons and follow-ups the engine explores along the way.
Content planning stops at one keyword
Without the fan-out, briefs cover the obvious question and leave out the sub-topics that decide which sources get cited.
Fixes go unverified
Content ships and the task closes, but nobody re-checks whether the answer itself actually changed.
The solution
How query fan-out analysis works
Map the sub-queries, track the change, plan the coverage.
Expand any tracked prompt to see its query fan-out variations, with how many times each sub-query appears and how that count moved against the previous period.
Headline metrics show how many prompts have fan-outs, the total sub-query occurrences in the window and the average number of sub-queries per prompt execution, each with a period-on-period change.
Open the query fan-out analysis for one prompt to rank its sub-queries by frequency and spot the angles your content does not yet cover.
Customer story
How teams are winning AI search
From invisibility to category dominance across every major answer engine.
“WriteWorks showed us exactly which competitors AI was recommending instead of us, and the sentiment behind every mention. We closed the gap across every major engine.”
RN
Capabilities
Query fan-out capabilities
Everything needed to read the fan-out.
Fan-out variations
Every sub-query a prompt branches into, with its count.
Period-on-period change
Rising and falling sub-queries flagged with deltas.
Average queries per execution
How widely an engine searches for each prompt.
Prompt search
Find any tracked prompt's fan-out quickly.
Date window and platform filters
Scope the analysis to a period and set of engines.
Fill gaps
Generate fan-outs for prompts that do not have them yet.
Time savings
What changes when you can see the fan-out
Coverage planned on the queries engines run.
TaskBeforeWith WriteWorksTime saved
Find the sub-topics a page must coverBrainstorm and hopeThe fan-out for the promptResearch time
Spot shifting intentNotice when citations dropSub-query deltas period on periodLag
Included
What's included
Every query fan-out capability.
Query fan-out variations for every tracked prompt
Count and period-on-period delta per sub-query
Prompts, total queries and average queries per execution
Per-prompt fan-out analysis
Date window and platform filters
Generate fan-outs to fill gaps
Built for
Built for teams optimising for AI answers
AEO specialists, strategists and SEO teams.
AEO and GEO specialists
Understand how engines decompose the prompts you care about.
Content strategists
Plan coverage around the sub-queries, not just the headline question.
SEO teams
Connect long-tail keyword thinking to how AI search actually works.
Featured story
GoTeachingJobs
“We retired three legacy tools and rebuilt our launch motion around WriteWorks. We can finally see our share of voice on the engines our buyers ask, and prove the lift on every run.”
Read the full story10+
AI platforms measured
Share of voice
Tracked vs competitors
Proven
Lift on every run
FAQ
Frequently asked questions
Everything teams typically ask before getting started.
What is query fan-out?+
Query fan-out is the technique AI search engines use to answer a prompt: they split it into several related sub-queries, run those searches, and combine the results into one answer. Google has described AI Mode working this way.
Why does query fan-out matter for content?+
Because the sources an engine cites come from the sub-queries, not only the original prompt. A page that covers the sub-topics an engine searches for has more chances to be retrieved and cited.
Are these the exact queries the engines ran?+
Not yet. Today the fan-outs in WriteWorks are AI-predicted sub-queries for each prompt, and the product labels them that way. Treat them as a map of what an engine is likely to search for, not a log of what it did.
How do I use the fan-out in my content?+
Treat the most frequent sub-queries as the sections, comparisons and follow-up questions a page needs to answer. Prompts with wide fan-outs usually need more comprehensive pages than prompts with narrow ones.
Explore more
Keep exploring
Related solutions, adjacent use cases, and platform features.
See what AI engines search behind every prompt
WriteWorks maps the query fan-out for every prompt you track, so your content covers the sub-queries that decide the answer.