If you plan an article, you need to identify the narrower questions a buyer must resolve within the main subject. LLM Fanout shows follow-up searches models suggested for a campaign, and the stored Google and Bing results for selected suggestions. Use it to see the narrower questions contained inside a broad buying request.
A proposed search is not an observed one
This distinction governs how the whole report should be read.
Fanout Suggested contains queries the models said they would search. It is campaign research. It is not a recording of another service's private search activity, and no product can produce that from outside.
Fanout Search Results shows the results OppAlerts collected for selected suggested queries. A website appearing there ranked in those searches. That does not prove an AI service retrieved or cited it in any particular answer.
Keep both statements intact when reporting to a client. The useful claim is that these are the sub-questions a model associates with the buying decision, which is worth knowing without overstating it.
What the narrower questions are for
A broad request decomposes into the specifics a buyer needs settled.
A request for a commercial maintenance provider can lead to questions about response times, qualifications, service coverage and contract exclusions. Each of those is a decision the buyer has to make, and each is something your material either addresses or does not.
Inspect the suggested wording and the pages that currently answer it. Where a question recurs across several suggestions, it is central to the decision rather than incidental.
The content decision this supports
Deciding which questions your business can answer with useful facts is the point of the exercise.
Several related questions frequently belong in one service explanation, because a reader weighing response times also wants to know about coverage and exclusions. Splitting those into three thin pages serves nobody.
A substantially different purchasing decision usually needs its own page. If two suggested questions imply different buyers or different products, one page trying to serve both will read as being for neither.
The practical test: could one page answer both questions without changing who it is addressed to? If yes, combine them.
Where to find provider-reported queries instead
For the queries a provider reported alongside a specific tracked answer, use AI Answer Sources. Those are attached to particular runs, which is a stronger observation than a campaign-level suggestion, and they belong to a different report for that reason.
During brief preparation, group related questions that need the same explanation. That lets you plan sections around what the reader needs to understand.
See AI Answer Sources, the terminology for suggested and observed queries, or finding content ideas.