Aplo shows you which sources the answer actually drew on, and what those sources say about your category that your pages do not.
Your rank tracker is measuring a different game. A synthesized answer is assembled from sources the model considers informative, which is why a Reddit thread from two years ago can outweigh the comparison page you shipped last quarter.
Which review sites, forums, documentation, and publications the engines keep returning to when evaluating your market. This is your target list, and most teams have never seen it.
The exact sentence models use to describe you, tracked for drift. Often more commercially important than whether you were listed, because that sentence is what your buyer reads.
Discovery, alternatives, comparisons, validation, pricing. Strong on discovery and weak on comparison is a specific, fixable problem that a blended score hides.
Where your content is thinner than the sources being retrieved instead — the facts and structure that are missing, not a keyword count.
Citation Share of Voice is measured against named competitors on a fixed question set, so it moves for reasons you can explain. When the board asks what the strategy is for AI search, the answer is a benchmarked trend line rather than an assertion.
And when a model update changes the picture, you find out from an alert instead of from a traffic dip three weeks later.
We will not tell you we can see how a model chose its sources — nobody outside the labs can.
We will not sell you prompt tricks, because the ones that work stop working.
We will not guarantee a recommendation, and we will not write your content.
What we will give you is a measured baseline, the source layer behind it, and an honest read on whether what you shipped moved anything.
See the source layer behind the answers, track your citation share of voice, and know whether what you shipped actually moved the model.
