---
source_url: "https://llmpulse.ai/features/sentiment-tracking"
title: "AI Sentiment Analysis: How AI Models See Your Brand | LLM Pulse"
mirrored_at: 2026-08-30T01:08:42.841Z
host: llmpulse.ai
cited_in_42a: true
mirror_canonical: "https://index.42a.ai/llmpulse.ai/features/sentiment-tracking"
---

> **Original source:** https://llmpulse.ai/features/sentiment-tracking

1.  [Home](https://llmpulse.ai/)
2.  Run AI sentiment analysis for tracked brand mentions

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.

## How Sentiment Tracking Works

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

1.  1
    
    ### Configure Brand Tracking
    
    Set up monitoring for your brand, products, executives, and key topics across major AI platforms.
    
2.  2
    
    ### AI Analyzes Brand Mentions
    
    Classified responses receive a 5-point sentiment score and topic labels.
    
3.  3
    
    ### Identify Patterns & Trends
    
    See sentiment trends over time, drill down into specific topics, and understand what drives positive or negative perception.
    
4.  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.

> "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."

## 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 from 1 to 5, where 1 is very negative, 2 is somewhat negative, 3 is neutral, 4 is somewhat positive, and 5 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 suddenly starts portraying your brand negatively, perhaps due to a news event or competitor campaign, you'll know immediately. 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.

14-day free trial

Cancel anytime