Moving beyond the limitations of single-prompt analysis, we simulate the full decision-making dialogue. This approach delivers metrics that quantify your brand's competitive advantage not just at the start of a search, but at the critical moment of making decisions.

Here is the proprietary science behind our comprehensive measurement system:

Visibility Metrics

Visibility Score

• Percentage of conversations where the brand is mentioned at least once.
• Measures the brand's fundamental reach and broad overall visibility.

Conversational Integrity Score

• A weighted average brand presence across multiple responses in the full conversation. Mentions closer to the final decision are weighted more heavily (e.g., message 3 is 0.4 points)
• Measures brand salience and consistency by rewarding mentions that appear closer to the AI's final, conclusive response.

Full Conversation Presence

• The percentage of conversations where your brand was mentioned in every single AI message
• Measures authority and saturation. A higher rate indicates greater brand consistency throughout the entire discussion.

Final Decision Rate (FDR)

• The percentage of conversations where your brand was the single, final decision or recommendation in the last AI response
• Measures conclusive "wins." This is the ultimate metric for measuring conversions within the zero-click environment.
  

Competition Metrics

Average Position

• The average message position (index) where the brand first appears in a conversation
• Measures how quickly your brand establishes dominance. A lower index (closer to 1.0) means your brand is mentioned earlier in the flow.

Share of Model

• The percentage of mentions a brand earns compared to competitors for a specific AI model (e.g., ChatGPT or Gemini)
• Enables cross-model benchmarking. This provides the insights necessary to strategize content specifically for the unique environment of each LLM

Share of Voice

• TrioSens provides multiple views, including SoV in Conversation, SoV in Messages (total message volume), and SoV in Final Decision (competitive share of final recommendations)
• Quantifies your brand’s competitive market share across key decision points, allowing users to see if they are winning against rivals

Brand Perception Metrics 

Key Decision Driver

• Identifies the key elements (e.g., "affordability," "durability") that influenced the AI model to recommend your brand in the final decision response
• Ensures your desired brand narrative aligns with the reasons the AI is recommending you, confirming if your core messaging is pulling through

Citation

• The specific domains and URLs referenced by the LLM when generating the answer
• Pinpoints exactly which sources are driving the AI to recommend your brand. This is critical for channel planning and optimizing content on high-influence channels like top-tier publications or Reddit

Sentiment

• The classification of emotional tone (Positive, Negative, Neutral) associated with brand mentions
• Determines the qualitative narrative being created around your brand—quantifying where brand equity is won or lost

Understanding these metrics is the first step. The power of TrioSens lies in identifying the gap between your Visibility Score (Reach) and your Final Decision Rate (Conversion).

If you have a high visibility score but low conversational integrity, your content is failing mid-funnel. If you have high integrity but low FDR, you are losing on specific competitive differentiators like price or features.