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New Feature AI Visibility

Brand Sentiment Analysis: Know How AI Talks About Your Brand

Ayzeo Team • January 20, 2026

Getting mentioned by AI is only half the story. Is ChatGPT praising your brand or warning users about it? Brand Sentiment Analysis reveals the tone behind every AI mention — positive, negative, or neutral.

Brand Sentiment Analysis

Understand how AI portrays your brand

Track whether AI mentions your brand positively, negatively, or neutrally
Table of Contents
1. Why Sentiment Matters
2. What is Brand Sentiment Analysis?
3. The Three Sentiment Types
4. How Ayzeo Analyzes Sentiment
5. Where to Find Sentiment Data
6. Interpreting Your Results
7. How to Improve Negative Sentiment
8. Frequently Asked Questions

1. Why Sentiment Matters

You've worked hard to get your brand mentioned by AI chatbots. Your visibility score is climbing. But have you stopped to ask: What is AI actually saying about you?

Consider these two scenarios:

Positive Mention

"Acme CRM is widely regarded as an industry leader with excellent customer support and intuitive interface. Many businesses consider it their top choice for..."

Negative Mention

"Acme CRM has received criticism for its steep learning curve and limited integrations. Some users report frustrating support experiences..."

Both scenarios count as "mentions" — but their impact on your brand couldn't be more different.

A negative mention can be worse than no mention at all. If AI is warning users away from your brand, high visibility becomes a liability rather than an asset.

That's why we built Brand Sentiment Analysis — to help you understand not just if AI mentions your brand, but how it portrays you.

2. What is Brand Sentiment Analysis?

Brand Sentiment Analysis examines the language AI uses when it mentions your brand and classifies it as:

  • Positive — Praising, recommending, or highlighting strengths
  • Neutral — Factual, objective, neither good nor bad
  • Negative — Criticizing, warning, or highlighting weaknesses

This goes beyond simple mention tracking. Instead of just counting how often your brand appears, sentiment analysis reveals the quality and tone of those appearances.

The Complete AI Visibility Picture

Visibility
Brand in search results
Citations
AI visited your URL
Mentions
Brand named in response
Sentiment NEW
How AI portrays you

3. The Three Sentiment Types

Positive Sentiment

AI describes your brand using favorable language, recommendations, or praise. This is the gold standard — you want as many positive mentions as possible.

Example: "HubSpot is widely considered the best CRM for small businesses, offering excellent free tier features and exceptional educational resources."

Positive signals include:

  • Recommendations ("I recommend...", "best choice for...")
  • Praise ("excellent", "outstanding", "industry leader")
  • Trust indicators ("reliable", "trusted by...", "award-winning")
  • Comparative advantages ("better than alternatives", "stands out")

Neutral Sentiment

AI mentions your brand factually without positive or negative language. This is fine — you're being presented as an option without bias.

Example: "HubSpot offers a CRM platform with features including contact management, email marketing, and sales pipeline tracking. Pricing starts at $0 for the free tier."

Neutral signals include:

  • Feature descriptions without opinion
  • Factual information (pricing, locations, capabilities)
  • Lists of options without ranking
  • Objective comparisons

Negative Sentiment

AI criticizes your brand, warns users, or highlights weaknesses. This is a red flag that requires attention.

Example: "HubSpot has been criticized for aggressive upselling and can become expensive as you scale. Some users find the interface overwhelming."

Negative signals include:

  • Criticism ("has been criticized for...", "drawbacks include...")
  • Warnings ("be aware that...", "one concern is...")
  • Negative comparisons ("unlike competitors...", "falls short")
  • Customer complaints ("users report...", "common issues include...")

4. How Ayzeo Analyzes Sentiment

When you run an AI visibility check, Ayzeo now performs sentiment analysis on every prompt where your brand is mentioned:

  1. 1
    Detect Brand Mentions

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

  2. 2
    Analyze Context

    We examine the surrounding text to understand how your brand is being described.

  3. 3
    Classify Sentiment

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

  4. 4
    Extract Evidence

    We identify the specific phrases that determined the sentiment classification.

  5. 5
    Determine Dominant Sentiment

    For each prompt, we calculate the overall dominant sentiment across all mentions.

5. Where to Find Sentiment Data

Sentiment information appears throughout Ayzeo:

AI Visibility Dashboard

The dashboard now shows a Sentiment card displaying:

  • Counts of positive and negative prompts at a glance
  • Breakdown summary (e.g., "3 positive · 1 negative · 2 neutral")
  • Card hides automatically when no sentiment data is available

Prompts List

Each prompt in the list displays a sentiment badge:

  • Positive — AI portrayed your brand favorably
  • Neutral — Factual mention without opinion
  • Negative — AI criticized or warned about your brand

Prompt Details Modal

Click any prompt to see the full AI response with highlighted sentiment keywords:

  • Blue — Brand mentions
  • Green — Positive sentiment phrases
  • Red — Negative sentiment phrases

White-Label Reports

PDF reports now include sentiment data:

  • Sentiment summary in the Executive Summary
  • Sentiment badges on each prompt
  • Positive/Negative/Neutral counts

6. Interpreting Your Results

What Your Sentiment Data Tells You

5

Mostly Positive

When positive mentions significantly outnumber negative ones, AI is consistently portraying your brand favorably. Keep doing what you're doing!

3 · 2

Mixed Sentiment

A mix of positive and negative mentions indicates room for improvement. Review the negative prompts to identify what AI is criticizing.

4

Needs Attention

When negative mentions exceed positive ones, AI is frequently critical of your brand. Review the specific prompts and take action — see improvement strategies below.

Important context:

  • Neutral sentiment isn't bad — it just means factual reporting
  • Some negative sentiment is normal, especially for established brands
  • Focus on the trend over time, not just the current number
  • Review specific prompts to understand why sentiment is positive or negative

7. How to Improve Negative Sentiment

If you're seeing negative sentiment, here's how to address it:

Strengthen Positive Signals

  • Publish customer testimonials and success stories
  • Create case studies with measurable results
  • Highlight awards, certifications, and recognition
  • Add aggregateRating schema to your website

Address Legitimate Concerns

  • Respond professionally to negative reviews
  • Fix actual product/service issues that customers mention
  • Create FAQ content addressing common concerns
  • Update outdated information that may cause negative perceptions

Build Authoritative Content

  • Publish thought leadership and original research
  • Get featured in industry publications
  • Maintain accurate Wikipedia/Wikidata presence
  • Create comparison content that fairly addresses competitors

Optimize Technical Elements

  • Add structured data with positive attributes
  • Create an LLMS.txt file highlighting your strengths
  • Ensure your About page communicates your value proposition
  • Include clear, quotable statements about your expertise
Pro tip: Focus on the specific prompts showing negative sentiment. Understanding which topics trigger criticism helps you create targeted content to address those issues.

8. Frequently Asked Questions

Q: Is sentiment analysis available on all plans?
A: Yes! Sentiment analysis is included with AI Visibility tracking on all plans. You'll see sentiment data automatically when running visibility checks.
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.
Q: How accurate is the sentiment analysis?
A: Our sentiment analysis uses advanced AI to understand context. While highly accurate, we recommend reviewing specific prompts manually when making important business 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 distinctive positive signals through testimonials, awards, and thought leadership.
Q: Can I see the exact phrases that determined sentiment?
A: Yes! Click any prompt to open the details modal. The AI response shows sentiment keywords highlighted in green (positive) or red (negative).
Q: Does sentiment affect my visibility score?
A: No, sentiment is a separate metric. A prompt counts as a "mention" regardless of sentiment. However, we believe sentiment is just as important as visibility for your brand's success.
Q: Can I track sentiment trends over time?
A: Currently, we show the latest sentiment for each prompt. Historical sentiment trends are on our roadmap for future updates.

Conclusion: Quality Over Quantity

AI visibility is no longer just about getting mentioned. With Brand Sentiment Analysis, Ayzeo now helps you understand the quality of those mentions.

  • Track all four metrics — Visibility, Citations, Mentions, and Sentiment
  • Catch issues early — Identify negative sentiment before it impacts your brand
  • Take action — Use insights to improve how AI portrays your brand
  • Report comprehensively — Show clients the complete picture in white-label reports
Being mentioned by AI is only valuable if the mention helps your brand. Sentiment analysis ensures you know the difference.

Check Your Brand Sentiment Read the Help Guide

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