Zutrix’s AI Search Visibility tool helps you monitor how your brand is represented across major AI platforms, including ChatGPT, Gemini, Claude, and others. With a dedicated dashboard, you can track brand visibility, sentiment, keyword coverage, and identify optimization opportunities to improve how AI models perceive and promote your business.
This guide walks you through the key metrics available in the AI Search Visibility dashboard and how to interpret them effectively.
🔍 Brand Visibility Score
This is the main metric that quantifies how often your brand is mentioned in AI-generated responses when users search for your selected keywords. The score ranges from 0 to 100 — higher scores indicate stronger visibility and presence across AI responses.
Your visibility score is calculated based on how frequently your brand appears across all enabled models for your tracked commercial and brand keywords.
🧠 AI Model Coverage
Indicates how many AI models (out of the total available, e.g., 8 models) have mentioned your brand in responses. Full model coverage means your brand is being picked up broadly across the AI ecosystem — a critical factor in AI discoverability.
📈 Visibility Trends Over Time
This chart tracks your visibility score day by day. Use it to monitor progress, identify growth patterns, and pinpoint drops in exposure that may require content updates or optimization.
🔑 Tracked Keywords
This section lists all the commercial and brand-related keywords you are tracking for AI visibility. Each keyword includes:
Current Visibility Score
Brand Mentions Count
Sentiment Snapshot
Quick access buttons to refresh data, view detailed responses, or remove the keyword.
Clicking the “View AI Responses” button opens a detailed view showing exactly how your brand is mentioned in AI outputs across different models.
💬 AI Responses Analysis
This view gives you a breakdown of:
The AI models that mentioned your brand
The query users asked
The exact phrases or brand mentions in the AI responses
Overall sentiment (positive, neutral, or negative)
Total mention count per keyword
It helps you understand context, frequency, and tone of your brand’s appearance in model outputs.
❤️ Sentiment Distribution
This pie chart summarizes how AI models perceive your brand:
Positive: Favorable references
Neutral: Informational or objective mentions
Negative: Critical or unfavorable mentions
Tracking sentiment helps you spot reputation risks early and adjust messaging accordingly.
📊 AI Model Performance Analysis
View comparative data across all models to see where you’re getting the most traction. This section visualizes how many mentions each model includes and the sentiment breakdown within those mentions.
🚀 Suggestions & Optimization Panel
Zutrix provides actionable insights to improve your visibility score with:
Content Optimization: Recommendations for your FAQs, knowledge base, and keyword use.
Technical Implementation: Structuring your site with schemas, API documentation, RSS feeds, and more to make it more accessible and indexable by AI crawlers.
LLMs.txt Generator: A quick way to implement the new industry-standard file to tell AI models how to interpret and prioritize your brand.
🔁 Automatic Syncing
Once AI Search Visibility is active, Zutrix syncs your data daily to ensure you always have the most current insights. Manual refresh options are also available per keyword.
By understanding these metrics and acting on the insights Zutrix provides, you can significantly enhance your brand’s presence in AI-generated content — helping future-proof your visibility in the evolving search landscape powered by artificial intelligence.