Why the wording of the answer matters more than the score
Two brands can both be "named" in an answer. One is the recommendation, the other is the "you could also look at". The stored chat shows which one you are, and the phrase the engine used. When that phrase is lifted from a review site, you know where to earn a mention. When it is lifted from a rival's comparison page, you know which page to write.
Topics turn rows into decisions
Twenty questions about pricing are one topic: "what does it cost and is it worth it". ZwayRank rolls the questions into topics, scores each topic, and the crew pursues a losing topic as one job: the page, the schema on it, the mentions that support it, then a re-measure a week later.
Sentiment is a fact, not a feeling
Sentiment is read from the answer text and shown with the sentence behind it. A wrong claim about your product ("does not offer a free plan" when you do) is the fastest visibility win there is: fix the page the engine read, and the answer changes on the next crawl.
Models disagree
Gemini leans on Google's index; ChatGPT leans on the pages it can fetch and the sites it trusts; Claude is the most cautious about naming anyone. The Models view shows the same question across all three so you stop optimising for one and losing the other two.