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Visibility Metrics

Updated July 30, 2026

1. Prompt Coverage 


Definition and improvement 

Prompt Coverage measures the percentage of prompts in which your brand appears across a defined set of prompts.  

How GoVISIBLE Calculates Prompt Coverage 

GoVISIBLE calculates Prompt Coverage by analyzing brand visibility across a structured set of prompts mapped to intent, funnel stage, and topic clusters. The analysis includes: 

  • Total Prompts Analyzed
    The complete set of prompts evaluated for your brand within the selected scope. 
  • Covered Prompts
    The number of prompts where your brand appears in at least one AI-generated answer. 
  • Missed Prompts
    Prompts where your brand does not appear, despite being relevant to the category or intent. 
  • Prompt Coverage Rate
    A percentage-based score calculated as:
    Covered Prompts ÷ Total Prompts × 100, indicating overall coverage completeness. 
  • Coverage by Intent
    Breakdown of prompt coverage across informational, commercial, and navigational queries. 
  • Coverage by Cluster
    Visibility distribution across topic clusters, showing where coverage is strong or thin. 

This approach ensures that Prompt Coverage reflects intent-aligned completeness rather than random visibility. 

This section consists of: 

Engine Performance – Provides an engine-wise breakdown of your brand’s visibility across AI platforms. It reflects engine market share to highlight where visibility gaps matter most based on usage.  

It includes:   

Engine-wise Visibility Breakdown – Shows how often your brand appears across different AI engines.
Share of Voice by Engine – Compares your brand’s visibility with the leading competitor on each engine. 

2. Share of Voice

Definition 

Share of Voice represents how frequently a brand appears in AI-generated answers compared to competing brands across a defined set of prompts. 

Share of Voice is calculated as:  

 SOA % = Your Brand Mentions / Total Mentions (All Brands) ×100 

3. Sentiment Analysis

Interpretation 

Sentiment Analysis measures the tone and perception with which AI engines describe a brand in generated answers. It evaluates whether a brand is referenced in a positive, neutral, or negative context, providing insight into how AI systems interpret and present brand reputation. 

How GoVISIBLE Calculates Sentiment Analysis 

GoVISIBLE performs Sentiment Analysis by evaluating brand mentions across AI-generated answers and classifying them based on contextual tone and language. The analysis includes: 

  • Sentiment Score
    The average sentiment score of brand mentions across all monitored AI engines. 
  • Positive Brand Mentions
    The percentage of AI responses where the brand is referenced with favorable or trust-building language. 
  • Negative Brand Mentions
    The percentage of AI responses where the brand appears in an unfavorable or critical context. 
  • Neutral or Unclear Mentions
    Mentions that are informational, ambiguous, or lack a clear positive or negative signal. 

This includes:
Overall Sentiment – The overall tone of AI-generated responses referencing your brand, calculated as a weighted perception across different AI engines, where each engine’s influence is adjusted based on its relative usage and impact. 
Sentiment by AI Engine – How sentiment varies across different AI platforms.  
Sentiment by Prompt Cluster – How your brand is framed across different prompt topics or clusters.  
Competitor Sentiment Comparison – Compares how your brand’s sentiment stacks up against competitors in AI-generated answers.  

4. Visibility Strength

Visibility Strength measures the quality, clarity, and reliability of a brand’s presence in AI-generated answers. 

How GoVISIBLE Calculates Visibility Strength 

GoVISIBLE evaluates Visibility Strength by analyzing brand mentions across AI-generated answers and classifying them into three core visibility signals: 

  • Strong Mentions
    Instances where the brand is clearly named, accurately positioned, and contextually aligned with the user’s intent. 
  • Weak Mentions
    Mentions where the brand appears with limited confidence, incomplete context, or weak association with the primary answer. 
  • Missed Mentions
    Prompts where the brand is not mentioned by any generative engine, despite being relevant to the query.