Skip to main content

Executive Dashboard: Your AI Performance Command Center

Written by Ishita Mishra
Updated yesterday

The Dashboard is a new module designed to provide a consolidated, executive view of AI performance from the Search Visibility analyses

Key Capabilities

  • Multi-Dimensional Comparison: Benchmark LLM visibility by brand, specific product categories, and global markets.

  • Unified Metrics: Access a single view of the three pillars of AI presence: Visibility, Perception, and Influence.

  • Trend Monitoring: Identify performance gaps and high-priority opportunities before they impact your market share.

  • Strategic Alignment: Support pre-activation decision-making with data pulled directly from live search results.

Metrics and Definitions:

  1. Visibility Score: Score based on top position ranks and presence across search results. The greater the presence and the higher the position of a domain or brand in search results, the closer the visibility score will be to 100.

  2. Brand Mention Presence Rate: Percentage of prompt results in which a specific brand is ranked.

  3. Domain Presence Rate: Percentage of prompt results in which a specific domain is ranked as a link.

  4. Sentiment Score: Indicates whether sources mention the brand(s) in a positive, neutral, or negative context. The score ranges from -100 to +100 depending on the ratio of positive to negative mentions.

Overview Charts & Tables:

  1. Category Visibility Performance
    ​


    This chart helps you analyze how your brand performs across your own category structure. Categories are defined during the creation of analyses and can be aligned with your internal product segmentation.
    ​

    The chart compares visibility metrics across categories, allowing you to quickly identify where your brand is strongly represented in AI-generated answers and where competitors may dominate. It highlights categories with strong presence, weaker visibility, or potential optimization opportunities.
    ​

    This view is particularly useful for marketing, SEO, and product teams who want to prioritize actions based on category performance and align AI visibility insights with their internal product and market structure.

  2. Global Visibility Performance
    ​


    ​This view compares brand performance across markets using two key metrics: Visibility Score and Brand Mention Presence Rate. It helps identify the countries where your brand is most visible in AI-generated results and where performance is weaker. Use this overview to detect regional gaps, highlight top-performing markets, and prioritize optimization efforts where visibility is lower.
    ​

  3. Model vs Brand Performance
    ​


    ​This heatmap compares brand Visibility Scores across AI engines. It highlights where each brand performs strongly or weakly depending on the model. Use it to quickly identify performance gaps between AI platforms and detect which engines offer the strongest visibility opportunities for your brand.

  4. Performances at Category, Brand, Engines and Country level:
    ​

    ​
    ​Users can analyze performance at multiple levels including Category, Brand, Engine, and Country. This granular view helps identify where visibility is strong or weak and where optimization efforts should be prioritized across markets and AI platforms.
    ​
    ​

Did this answer your question?