Key Takeaways

Sentiment analysis reveals whether AI portrays your brand positively, negatively, or neutrally
Track sentiment across all your prompts to identify potential reputation issues early
Use sentiment data to understand how AI interprets and presents your brand to users

What is Brand Sentiment Analysis?

Brand sentiment analysis examines how AI chatbots talk about your brand, not just whether they mention it. When AI systems like ChatGPT, Claude, or Perplexity mention your brand, they do so with a certain tone - positive, negative, or neutral. Understanding this tone is crucial for managing your brand's reputation in the AI-driven search landscape.

Definition: Sentiment analysis determines whether AI-generated mentions of your brand carry a positive, negative, or neutral tone based on the context and language used.

Why Brand Sentiment Matters

Getting mentioned by AI is only half the story. A negative mention can be worse than no mention at all. Here's why tracking sentiment is essential:

Reputation Protection

Identify when AI systems are presenting your brand negatively so you can take action to improve your online presence and content.

Quality Over Quantity

A 50% mention rate with positive sentiment is far more valuable than 80% mentions with mixed or negative sentiment.

Content Insights

Understand which aspects of your brand AI emphasizes - and whether those aspects are presented in a favorable light.

Understanding Sentiment Types

Positive Sentiment

AI describes your brand using favorable language, recommendations, or praise.

Example: "Acme is widely regarded as an industry leader with excellent customer support..."

Negative Sentiment

AI describes your brand using critical language, warnings, or unfavorable comparisons.

Example: "Some users have reported issues with reliability and slow customer response times..."

Neutral Sentiment

AI mentions your brand factually without positive or negative language.

Example: "Acme offers project management software with features including task tracking, team collaboration, and reporting..."

How Ayzeo Analyzes Sentiment

When Ayzeo runs an AI visibility check on your prompts, it analyzes the AI's response to determine how your brand is portrayed. Here's what happens:

Brand Detection

We identify where your brand is mentioned in the AI's response text.

Context Analysis

We analyze the surrounding text to understand the context in which your brand is mentioned.

Sentiment Classification

Each mention is classified as positive, negative, or neutral based on language analysis.

Dominant Sentiment

We determine the overall dominant sentiment for each prompt based on all mentions.

Where to Find Sentiment Data

Sentiment information appears in several places throughout Ayzeo:

AI Visibility Dashboard

View aggregate sentiment metrics showing positive and negative counts across all your prompts. The breakdown helps you quickly assess your brand health.

Prompts List

Each prompt displays a sentiment badge (Positive, Negative, or Neutral) so you can quickly identify which topics generate favorable or unfavorable AI responses.

Prompt Details Modal

Click on any prompt to see the full AI response with sentiment keywords highlighted. Positive phrases appear in green, negative in red, and brand mentions in blue.

White-Label Reports

PDF reports include sentiment summaries and per-prompt sentiment badges, making it easy to share brand health insights with clients.

How to Improve Brand Sentiment

If you're seeing negative sentiment in AI responses, here are actionable steps to improve it:

Strengthen Positive Signals

Collect and publish customer testimonials and case studies
Highlight awards, certifications, and industry recognition
Share positive reviews on your website with structured data

Address Negative Content

Respond professionally to negative reviews online
Fix any legitimate issues that customers complain about
Create content addressing common misconceptions

Build Authoritative Content

Publish thought leadership content and original research
Get featured in reputable industry publications
Maintain an accurate Wikipedia/Wikidata presence

Optimize Technical Elements

Add structured data with positive attributes (aggregateRating, awards)
Create an LLMS.txt file that highlights your strengths
Ensure your "About" page clearly communicates your value proposition

Check Your Brand Sentiment

Run an AI visibility check on your prompts to see how AI chatbots are portraying your brand. View sentiment data in your project dashboard.

Go to Your Projects

Frequently Asked Questions

Q: Is sentiment analysis available for all prompts?

A: Sentiment is analyzed only when your brand is mentioned in the AI's response. If there's no mention, there's no sentiment to analyze for that prompt.

Q: How accurate is sentiment analysis?

A: Our sentiment analysis uses advanced AI to understand context. While highly accurate, we recommend reviewing specific prompts manually when making important decisions.

Q: What if I have mostly neutral sentiment?

A: Neutral sentiment isn't bad - it means AI is mentioning you factually. To shift toward positive, focus on building more distinctive positive signals online.

Q: Can I see the exact phrases that determined sentiment?

A: Yes! Click on any prompt to open the details modal. You'll see the AI response with sentiment-related phrases highlighted in green (positive) or red (negative).

Brand Sentiment Analysis