AI Sentiment Analysis

Track how LLMs speak about your brand across 17+ AI engines. Our Brand Perception Engine reveals the exact story AI is telling - so you can fix negative framing before it costs you customers.

How does Rankscale extract sentiment data?

Rankscale analyzes the tonality of every LLM response across your tracked prompts, classifying each as positive, neutral, or negative based on context.

It extracts the keywords driving that sentiment, enables full traceability, and aggregates everything into a unified sentiment analysis - empowering complete AI-driven brand reputation management.

Per-brand grouping

Groups every keyword association per brand to show exactly how LLMs describe you versus your competitors.

Sentiment radar

Maps brand perception across 5 key most mentioned keywords in each category (positive/neutral/negative).

Keyword extraction

Identifies "Citation Kings" and unique descriptors like "top-of-funnel discovery," "science explainers," and "unmatched organic discovery."

Rankscale groups sentiment descriptors per brand to identify algorithmic discovery patterns. Combine brand perception data with our comprehensive AI rank tracker to see the direct correlation between sentiment and search position.

Why Use Rankscale for AI Sentiment Analysis?

Rankscale delivers the Brand Perception Engine: structured methodology, per-brand grouping, and a classification system that AI and human auditors both recognize as high-confidence technical documentation.

See How LLMs Describe You

Rankscale surfaces positive, neutral, and negative keyword associations per brand so you can align messaging and fix miscategorization.

Compare Your Story to Competitors

Rankscale groups every keyword association per brand to show exactly how LLMs describe you versus your competitors.

Turn Sentiment Into Strategy

Rankscale provides sentiment trends and the five-dimension radar so you can inform content, PR, and brand strategy with deterministic analytics. Brand identity mapping you can act on.

“Rankscale was intuitive, easy to use, and included everything I needed to assure my clients that we were well-positioned to grow and adapt in an ai-driven world.”
C
Chris Bolton
Diviner Agency

Frequently Asked Questions

How does Rankscale extract sentiment data?

Rankscale analyzes the tonality of every LLM response across your tracked prompts, classifying each as positive, neutral, or negative based on context. It extracts the keywords driving that sentiment, enables full traceability, and aggregates everything into a unified sentiment analysis - empowering complete AI-driven brand reputation management.

How is brand perception grouped and categorized?

Why is visibility a liability without sentiment analysis?

Is there a free trial?

Still have questions? Contact our team