Sentiment Analysis

Sentiment Analysis shows how your brand and your competitors are portrayed in AI-generated responses by analyzing the tone of mentions across prompts. Mentions are classified as positive, neutral, or negative, giving you insight into overall perception and how sentiment trends compare across brands, topics, and time.

When AI platforms respond to questions about your company, product, or category, they do more than list facts. They apply language that carries tone - positive, neutral, or negative - based on the sources they trust and the context they infer. Over time, this tone shapes how users perceive your brand before they ever visit your website.

The Sentiment feature in Limy allows marketing teams to understand whether AI systems speak about their brand positively, where negative framing appears, and how sentiment evolves as content, coverage, and sources change.

With the Sentiment analysis, you can:

• See an overall sentiment score for your brand

• Track sentiment trends over time

• Compare sentiment against competitors

• Identify prompts where sentiment is negative or mixed

• Understand the language AI systems use to describe your brand

Sentiment is measured on a 0–100 scale, where:

• 0 represents strongly negative framing

• 100 represents strongly positive framing

This score reflects how AI-generated language frames your brand, not human opinion or user reviews.

Start by reviewing your overall sentiment score and trend line to understand whether AI framing is improving, stable, or declining over time.

Limy provides you the sources AI systems reference when generating negative responses. Use this insight to address the issue strategically - by creating content that counters the narrative or engaging directly (for example, responding to a social post with a positive message) to help influence future sentiment in AI-generated answers.

Dive deeper into the prompt details by:

1

Navigating to Prompts

2

Selecting a specific prompt

3

Clicking on Analyze

4

Scrolling down to Sentiment Analysis

Here you will see the sentiment analysis on the prompt level

FAQs

Is sentiment based on user reviews or social media?

No. Sentiment is derived from AI-generated language, based on the sources AI systems reference when answering prompts.

Can sentiment change over time?

Yes. Sentiment evolves as AI models ingest new sources, content, and coverage.

Why might sentiment drop suddenly?

Sudden changes can be caused by new sources being ingested, negative coverage, or shifts in how AI systems interpret existing information.

Can I improve sentiment?

Yes. Improving sentiment typically involves addressing the underlying sources and narratives through content, PR, and messaging updates.

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Overall Brand VisibilityMarket Share AnalysisSentiment AnalysisRecommendations Filters

Still have questions? We’re here to help. Contact us at [email protected] - we’d be happy to assist.