How does LLM Pulse analyze sentiment in AI responses?

Our AI analyzes every response that mentions your brand, evaluating the language, context, and framing used. We consider factors like word choice, recommendation strength, comparisons with competitors, and overall tone to determine sentiment accurately.

What's the 5-point sentiment scale?

Responses are scored on a five-point scale: -1 is very negative, -0.5 is negative, 0 is neutral, 0.5 is positive, and 1 is very positive. This granularity helps you distinguish between mild skepticism and strong criticism, or between tepid mentions and enthusiastic recommendations.

Can I see what topics drive positive or negative sentiment?

Yes, we extract specific topics discussed in each mention (pricing, features, customer service, reliability, etc.) and show sentiment by topic. This reveals that AI might praise your product quality but criticize your pricing, giving you actionable insights.

How does sentiment tracking help with PR and crisis management?

Sentiment tracking is an early warning system. If AI starts portraying your brand negatively, perhaps due to a news event or competitor campaign, you'll see the shift in your sentiment trends. This lets PR teams respond with corrective content before negative perception spreads.

Is sentiment analysis accurate for nuanced brand mentions?

Our sentiment analysis is trained to understand business context and nuanced language. It distinguishes between genuine criticism and comparative statements, handles sarcasm and hedging, and provides explanation notes so you understand why each score was assigned.

Sentiment Tracking

Run AI sentiment analysis for tracked brand mentions

AI sentiment analysis measures how AI models describe your brand. LLM Pulse classifies detected mentions on a 5-level scale and shows sentiment coverage and the topics driving perception across ChatGPT, Perplexity, and Gemini.

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Features

Why Sentiment Tracking Matters

Being mentioned isn't enough, you need to know if AI recommends you positively. Track perception, not just presence.

Track Brand Perception

Each mention is scored on a 5-point scale from very negative to very positive, with explanations of what's driving that sentiment.

Protect Your Brand

Get alerted to negative sentiment or misinformation before it spreads to millions of AI users.

Monitor Sentiment Trends

Track how sentiment changes over time and correlate shifts with PR campaigns, product launches, or news events.

Catch Issues Early

Identify emerging negative sentiment patterns and respond before they become widespread.

Compare vs Competitors

See sentiment side-by-side, e.g. "81% of our mentions are positive vs 68% for Competitor X."

Measure Campaign Impact

Track how PR campaigns and announcements affect sentiment in AI responses.

How Sentiment Tracking Works

Analyze sentiment in detected brand mentions and see how many received a classification.

1

Configure Brand Tracking

Set up monitoring for your brand, products, executives, and key topics across major AI platforms.
2

AI Analyzes Brand Mentions

Classified responses receive a 5-point sentiment score and topic labels.
3

Identify Patterns & Trends

See sentiment trends over time, drill down into specific topics, and understand what drives positive or negative perception.
4

Take Action

Use insights to guide PR strategy, create corrective content, or amplify positive sentiment.

Sentiment Tracking Use Cases

How teams use sentiment tracking to protect and enhance their brand.

Crisis Management

Monitor for sudden sentiment shifts and respond quickly to emerging reputation threats in AI responses.

Product Launch Tracking

Measure how AI describes your new products and whether the messaging aligns with your positioning.

PR Campaign Measurement

Track whether your PR efforts improve sentiment and brand perception in AI-generated content.

M&A Due Diligence

Understand how AI perceives potential acquisition targets or assess your own brand before a transaction.

"LLM Pulse is a pioneering response to the need to measure performance across different LLMs. At TecnoCampus we need maximum transparency, the ability to parameterize results and to carry out visibility audits for our brand, now also in the increasingly established field of AI. LLM Pulse gives us all of that in a single place."

Jordi Perez Rubio

TecnoCampus

Frequently Asked Questions

Learn how sentiment tracking helps you understand and improve AI perception of your brand.

: Our AI analyzes every response that mentions your brand, evaluating the language, context, and framing used. We consider factors like word choice, recommendation strength, comparisons with competitors, and overall tone to determine sentiment accurately.
: Responses are scored on a five-point scale: -1 is very negative, -0.5 is negative, 0 is neutral, 0.5 is positive, and 1 is very positive. This granularity helps you distinguish between mild skepticism and strong criticism, or between tepid mentions and enthusiastic recommendations.
: Yes, we extract specific topics discussed in each mention (pricing, features, customer service, reliability, etc.) and show sentiment by topic. This reveals that AI might praise your product quality but criticize your pricing, giving you actionable insights.
: Sentiment tracking is an early warning system. If AI starts portraying your brand negatively, perhaps due to a news event or competitor campaign, you'll see the shift in your sentiment trends. This lets PR teams respond with corrective content before negative perception spreads.
: Our sentiment analysis is trained to understand business context and nuanced language. It distinguishes between genuine criticism and comparative statements, handles sarcasm and hedging, and provides explanation notes so you understand why each score was assigned.

Protect your brand reputation in AI

Start tracking sentiment today and ensure AI models represent your brand accurately.