## Brand Sentiment Analysis

Understand how AI portrays your brand

Track whether AI mentions your brand positively, negatively, or neutrally

## 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.

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## 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

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## 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...")

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## 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. **Detect Brand Mentions**: We identify where your brand appears in the AI's response text.
2. **Analyze Context**: We examine the surrounding text to understand how your brand is being described.
3. **Classify Sentiment**: Each mention is classified as positive, neutral, or negative based on language patterns.
4. **Extract Evidence**: We identify the specific phrases that determined the sentiment classification.
5. **Determine Dominant Sentiment**: For each prompt, we calculate the overall dominant sentiment across all mentions.

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## 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

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## 6. Interpreting Your Results

### What Your Sentiment Data Tells You

#### Mostly Positive

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

#### Mixed Sentiment

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

#### 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

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## 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.

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## 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.

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## 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.