A count of mentions tells you almost nothing. What you need is the sentence, the question that produced it, and who else was in the room. SKYA keeps all three against every mention it records.
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The passage that named you, the full answer around it, and the platform that produced it. Not a tally, the text.
Open any mention to read the answer it sits in.
Which buyer question triggered the mention, so you can tell a category win from an accident on a branded query.
Prompts are generated from your domain across four intent layers.
On the prompts where you are absent, the brands that were recommended, and how consistently.
Rivals are discovered, then checked against the same prompts.
Sentiment on the mention itself rather than on the brand in general, because an assistant can name you and still steer the buyer away.
A dimension with too few independent sources is shown as not scored.
A mention that cannot be opened is a number somebody typed. Every one here is a stored answer you can read in full.
Every figure here comes from an answer SKYA captured and kept, and the answer opens from the figure. Where the evidence is too thin to support a number, the product says so instead of printing one.
How every number is calculatedThe scan needs a domain and nothing else. No account, no card, and the first read lands in about two minutes.