> ## Documentation Index
> Fetch the complete documentation index at: https://docs.trysight.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Understanding Sentiment

> Analyze how positively or negatively AI models describe your brand.

## What Is Sentiment?

Sentiment measures the tone and attitude AI models use when discussing your brand. It goes beyond whether you're mentioned to capture *how* you're described -- positively, neutrally, or negatively. Sentiment analysis examines the language, context, and framing of every AI response that mentions your brand.

## Why Sentiment Matters

A mention isn't always a good thing. If an AI model mentions your brand but describes it negatively, that can actively harm your reputation and drive potential customers away. Understanding sentiment helps you:

* **Protect your reputation** -- Catch negative sentiment early before it spreads
* **Measure brand perception** -- Understand how AI models frame your brand
* **Guide your strategy** -- Focus on improving areas where sentiment is weak
* **Benchmark against competitors** -- See if AI models favor your competitors' brands over yours
* **Track improvements** -- Measure how content changes affect AI perception

## Reading the Sentiment Dashboard

### Overall Sentiment Score

Your sentiment score is displayed as an aggregate across all tracked prompts and AI models:

* **0.7 to 1.0** -- Strongly positive. AI models consistently speak favorably about your brand.
* **0.3 to 0.69** -- Positive. Most AI responses are favorable with minor neutral or negative mentions.
* **-0.29 to 0.29** -- Neutral. AI models describe your brand without strong positive or negative bias.
* **-0.69 to -0.3** -- Negative. AI responses frequently highlight concerns or drawbacks.
* **-1.0 to -0.7** -- Strongly negative. AI models consistently frame your brand unfavorably.

### Sentiment Breakdown

View the distribution of sentiment across your tracked prompts:

* **Positive** -- Responses where AI models describe your brand favorably, highlight strengths, or recommend you
* **Neutral** -- Responses where AI models mention your brand factually without strong opinion
* **Negative** -- Responses where AI models highlight drawbacks, concerns, or unfavorable comparisons

### Sentiment by Platform

Different AI models may have different perceptions of your brand. The platform breakdown shows sentiment scores for each tracked model -- ChatGPT, Claude, Perplexity, Gemini, Grok, and Google AI Overview -- so you can identify platform-specific issues or strengths.

## What Affects Sentiment

### Positive Factors

These tend to improve how AI models describe your brand:

* Strong customer reviews and testimonials across the web
* Positive press coverage and media mentions
* High-quality, helpful content on your website
* Industry awards and recognition
* Active community engagement and support
* Consistent, reliable product or service delivery

### Negative Factors

These can lead to negative AI sentiment:

* Unresolved customer complaints on public forums
* Negative reviews on major review platforms
* Controversial press coverage or PR incidents
* Outdated or inaccurate information on your website
* Poor comparison against competitors in independent reviews
* Security incidents or data breaches

## How to Improve Sentiment

### Address Negative Signals

* **Monitor and respond** to negative reviews on public platforms
* **Resolve complaints** that appear in forums and social media
* **Update outdated content** that may be feeding AI models inaccurate information
* **Publish corrections** if your brand has been misrepresented

### Build Positive Signals

* **Encourage satisfied customers** to leave reviews on major platforms
* **Publish case studies** and success stories
* **Earn positive press coverage** through thought leadership
* **Create helpful, educational content** that positions you as an industry leader
* **Maintain transparency** about your products, pricing, and practices

### Benchmark Against Competitors

* Compare your sentiment scores with tracked competitors
* Identify areas where competitors have better sentiment and analyze why
* Use competitor analysis to set realistic sentiment improvement goals
* Learn from competitors with high sentiment -- what are they doing differently?

### Track Trends Over Time

* Monitor sentiment on a weekly basis to catch changes early
* Correlate sentiment shifts with specific events (product launches, press coverage, content updates)
* Set sentiment improvement targets and measure progress
* Celebrate wins when sentiment improves -- it validates your GEO efforts

## Sentiment's Role in GEO

Sentiment is a critical component of Generative Engine Optimization. When AI models have positive sentiment about your brand:

* They're more likely to **recommend you** in response to relevant queries
* They tend to **position you higher** in recommendation lists
* They use **more favorable language** when describing your products and services
* They're more likely to **cite your content** as a trusted source

Improving sentiment isn't just about reputation management -- it directly impacts your visibility and positioning across all AI platforms.