How to Read GetMint Visibility Insights

What Are Visibility Insights?

Visibility insights analyze your brand’s organic mentions across AI platforms based on the visibility prompts and competitive set you configured in your project setup. These insights measure natural brand discovery without paid promotion or brand-specific queries.

The analysis tracks how frequently AI models mention your brand when responding to generic, unbranded queries related to your industry or business objectives

Understanding Your Visibility Score

• Core Visibility Metric: Your visibility score represents the percentage of AI responses that naturally mention your brand. This score indicates how often AI systems recommend or reference your company when users ask relevant questions without specifically naming brands.

• Competitive Benchmarking: Compare your visibility score directly against selected competitors to understand your relative market position. Higher scores indicate stronger AI search presence and better organic brand discovery.

• Time Period Analysis: Adjust the analysis timeframe to track visibility trends over different periods. Monitor score evolution to identify improvement patterns or declining performance that requires attention.

• Model-Specific Filtering: View results across all five AI models or filter by specific platforms like Perplexity, ChatGPT, or Claude. Each model may show different visibility patterns based on training data and response algorithms. 

Industry Share of Voice Analysis

• Comprehensive Market View: Industry share of voice extends beyond your selected competitors to include all brands mentioned organically by AI models. This broader analysis reveals the complete competitive landscape in AI search results.

• Top 10 Brand Rankings: Review the leading brands in your industry based on organic AI mentions. Calculate share of voice by dividing individual brand mentions by total industry mentions across all responses.

• Market Position Context: Understand where your brand ranks within the broader industry ecosystem, not just against direct competitors. Identify unexpected competitors or industry leaders gaining AI visibility.

Source Consultation Analysis

• Domain Authority Tracking: Monitor which domains AI models consult most frequently when generating responses to your visibility prompts. Understanding source preferences helps identify influential content sources in your industry.

• Content Source Strategy: Analyze whether AI models frequently reference YouTube, community platforms, or specific media outlets. This insight guides content distribution strategies and partnership opportunities.

• Influential Domain Identification: Discover the most consulted domains across your industry analysis. These high-influence sources represent potential partnership or content collaboration opportunities.

Owned vs. External Source Distribution

• Source Ownership Analysis: Track the split between content sources you own versus external sources consulted by AI models. Higher owned source consultation indicates stronger content authority and AI platform trust.

• Third-Party Influence Opportunities: Identify external sources you can potentially influence through partnerships, guest content, or relationship building. These represent strategic opportunities to increase AI visibility.

• Competitor Source Share: Monitor how frequently AI models consult competitor content versus your owned sources. This comparison reveals content authority gaps and competitive content opportunities.

Key Performance Indicators

• Visibility Score Trends: Track score changes over time to measure AI optimization efforts’ effectiveness. Consistent improvement indicates successful AI search optimization strategies.

• Competitive Position: Monitor your ranking relative to competitors across different time periods and AI models. Position changes signal market share shifts in AI search results.

• Source Authority Growth: Measure increases in owned source consultation rates, indicating growing AI platform trust and content authority recognition.

Interpreting Visibility Results

• Strong Performance Indicators: High visibility scores, increasing mention rates over time, and frequent consultation of owned sources indicate effective AI search optimization.

• Areas for Improvement: Low visibility scores, declining trends, or minimal owned source consultation suggest opportunities for content optimization and AI platform strategy enhancement.

• Competitive Gaps: Significant visibility score differences between your brand and competitors highlight optimization opportunities and competitive content analysis needs.

Strategic Actions Based on Insights

• Content Optimization: Use source consultation data to understand which content types and formats AI models prefer. Optimize your content strategy to align with these preferences.

• Competitive Analysis: Monitor competitor visibility trends to identify successful strategies worth adapting or differentiating factors to emphasize in your content.

• Industry Positioning: Leverage industry share of voice data to identify market positioning opportunities and potential partnership targets for increased visibility.

Advanced Analysis Options

For deeper data exploration and CSV exports, utilize the Explorer analysis feature. This advanced functionality enables detailed query analysis, response examination, and custom data extraction for strategic planning.

Monitor visibility insights regularly to track AI search performance changes and optimize your strategy based on evolving AI platform behaviors and competitive dynamics.