This article explains how to view your brand's and your competitor's sentiment score across the LLM's answers.
Overview
Sentiment Analysis shows how AI systems describe and frame your brand within AI-generated answers.
When AI platforms generate responses about your brand, they do more than reference facts. They apply tone and context - positive, neutral, or negative - based on the sources they ingest and the narratives they infer. Over time, this framing shapes how users perceive your brand before they ever interact with your website or content directly.
The Sentiment Score in Limy allows you to understand how AI systems talk about your brand, identify where negative or inconsistent framing exists, and take targeted action to improve brand perception across AI-generated answers.
Sentiment is measured on a 0–100 scale, where:
0 represents strongly negative framing
100 represents strongly positive framing
This score reflects AI-generated language, not customer reviews or social sentiment.
FAQ
Is sentiment based on customer reviews or social media?
No. Sentiment is derived from AI-generated answers and the language used by AI systems, based on the sources they reference.
Can sentiment change quickly?
Yes. Sentiment can shift when AI systems ingest new sources or re-interpret existing information.
How can I improve negative sentiment?
Improvement usually involves addressing the underlying sources through updated content, PR efforts, or clarifying commentary.
Should I optimize for sentiment or visibility first?
Both matter, but addressing negative sentiment on high-visibility prompts should be prioritized.
