What the Agent Does
The Share of Model Agent provides three primary capabilities:
Brand Perception Insights: Analyzes how your brand is perceived across different LLMs (Claude, Gemini, GPT, Deepseek, etc.
Improvement Recommendations: Provides insights on how to improve brand perception based on data analysis
Content Optimization Guidance: Offers insights on improving content (images, PDP, etc.) for specific LLMs
Once insights are obtained, you can switch to specialized content generation agents (Image Generation, Video Generation, etc.) to create the recommended assets.
Data Sources
The agent uses data from Share of Model analyses executed on the . For each analysis, the agent
has access to the following data:
Share of Model Application
Brand Perception Data
Brand Perception Attributes: Each attribute represents either a positive (strength) or negative (weakness) perception of the brand
Brand Perception Cluster Groups: Groups of similar attributes that cluster together, helping identify thematic patterns in brand perception
Brand Perception by Source: Detailed perception data (strengths and weaknesses) broken down by each LLM source (Claude, Gemini, GPT, etc.)
Brand Perception by Brand: Comparative analysis showing your brand’s perception alongside competitors
Target Audience Data
Audience Segments: Detailed audience profiles including:
Demographics (gender, age range, area type, household type)
Behavioral attributes (challenges, decision-making patterns, purchase influences)
Media consumption (media channels, preferred sources)
Age Range Distribution: Statistical distribution of target audience across different age ranges
Analysis Metadata
Brand Information: The brand being analyzed
Countries: Geographic scope of the analysis
Category: Product/service category
Competitors: List of competitor brands included in the analysis
Personas: Target personas defined for the analysis
Sources: LLM providers included in the analysis (e.g., Anthropic, Google, OpenAI, Deepseek)
Getting Started
Prerequisites
When starting to use the Share of Model Agent, you need to:
Select a Brand: The agent will list all available brands. If only one brand is available, it will be selected automatically.
Select an Analysis: Choose a specific Share of Model analysis to work with. If only one analysis exists, it will be selected automatically.
Initial Setup Workflow
When you first interact with the agent:
The agent will automatically list available brands
If multiple brands exist, you’ll be prompted to select one
The agent will then list available analyses for the selected brand using
If multiple analyses exist, you’ll be prompted to select one
Once selected, the analysis is stored in context using
Key Capabilities
1.Brand Perception Analysis
The agent can analyze brand perception across multiple dimensions:
Overall Cluster Share: Understand the distribution of perception clusters (strengths and weaknesses)
Cluster Share by Brand: Compare your brand’s perception clusters against competitors
Cluster Share by Source: See how different LLMs perceive your brand differently
Attributes Hierarchy: Explore the detailed hierarchy of attributes within clusters
Example Queries:
“What are the main strengths and weaknesses of my brand?”
“How does my brand compare to competitors in terms of perception?”
“Which LLM sources have the most positive perception of my brand?”
2.Source-Specific Insights
Analyze how your brand is perceived on specific LLM platforms:
Identify which sources have the most favorable perception
Understand source-specific strengths and weaknesses
Get recommendations for optimizing content for specific LLM platforms
Example Queries:
“What are my brand’s strengths on Claude vs Gemini?”
“How should I optimize my content for GPT?”
3. Audience Analysis
Understand your target audience segments:
Demographic breakdowns
Behavioral patterns and preferences
Media consumption habits
Age distribution analysis
Example Queries:
“Who is my target audience?”
“What are the main challenges of my audience segments?”
“What media channels does my audience prefer?”
4. ContentImprovement Recommendations
Based on the analysis, the agent provides actionable recommendations:
Specific attributes to emphasize in content
Content themes that align with brand strengths
Areas to address to improve weaknesses
LLM-specific content optimization strategies
Example Queries:
“How can I improve my brand perception through content?”
“What should my next image campaign focus on?”
“What messaging should I use for my PDP?”
Integration with Content Generation Agents
The Share of Model Agent is designed to work in conjunction with content generation agents:
Typical Workflow
Analysis Phase (Share of Model Agent):
Analyze brand perception
Identify strengths and weaknesses
Get content recommendations
Content Generation Phase (Specialized Agents):
Use insights to create image campaigns
Generate video content aligned with brand strengths
Create optimized PDPs
Develop email copy and other marketing materials
Example : Creating Assets
User: "I want to create an image campaign to improve my brand perception"
1. Share of Model Agent analyzes:
- Identifies key strengths: "innovative", "sustainable", "premium quality"
- Identifies weaknesses: "price perception", "accessibility"
- Recommends: Focus on innovation and sustainability in visuals
2. User switches to Image Generation Agent:
- Uses insights from SOM Agent
- Generates images emphasizing innovation and sustainability
- Creates content that addresses accessibility concerns
Example: Improving Existing Assets
User: "I have an existing product image. How can I improve it based on brand perception?"
1. Share of Model Agent analyzes:
- Reviews current brand perception across LLM sources
- Identifies that "premium quality" is a strength but not well represented
- Finds that "accessibility" is a weakness that needs addressing
- Recommends: Enhance visual elements to emphasize premium quality while making the product appear more
accessible
2. User switches to Image Generation Agent with existing image:
- Provides the existing product image as input
- Uses SOM insights to guide improvements
- Agent edits/regenerates the image with:
- Enhanced premium quality visual cues (better lighting, refined textures)
- More accessible presentation (clearer product visibility, approachable styling)
- Creates an improved version that better aligns with brand perception goals
Best Practices
Start with Broad Analysis
Begin with overall brand perception before diving into specific dimensions.Compare Across Sources
Always compare how different LLMs perceive your brand to identify platform-specific opportunities.Use Competitive Context
Leverage competitor comparisons to understand your relative positioning.Link Insights to Content
Always connect insights to actionable content recommendations.Iterate Based on Results
Use the agent’s recommendations to create content, then analyze the impact and iterate.
Response Format
The agent provides:
Executive Summary: High-level insights and key findings
Detailed Analysis: Breakdown of data with specific metrics
Actionable Recommendations: Clear next steps for content creation
Context: Information about data sources, time periods, and limitations
All shares and percentages are expressed as percentages for clarity.
Language Support
The agent can translate insights and recommendations into your desired language. Simply request translation when needed.
Error Handling
If data is unavailable or incomplete, the agent will:
Transparently report limitations
Suggest alternative approaches
Continue analysis with available data while noting gaps
Estimate the impact of missing data on conclusions
API Documentation
For detailed API information, refer to the Share of Model API Documentation.
Terminology
Strengths: Positive brand perception attributes (preferred term over “pros”)
Weaknesses: Negative brand perception attributes (preferred term over “cons”)
Cluster Groups: Thematic groupings of similar attributes
Source: LLM provider (e.g., Claude, Gemini, GPT)
Analysis: A Share of Model analysis containing brand perception data
Persona: Target audience persona defined in the analysis
Example Use Cases
Use Case 1: Brand Perception Audit
User: "Analyze my brand's perception across all LLM sources"
Agent Response:
- Lists strengths and weaknesses
- Compares perception across different sources
- Provides percentage breakdowns
- Recommends focus areas for improvement
Use Case 2: Competitive Analysis
User: "How does my brand compare to competitors?"
Agent Response:
- Cluster share comparison by brand
- Identifies competitive advantages
- Highlights areas where competitors outperform
- Suggests differentiation strategies
Use Case 3: Content Strategy Development
User: "What content should I create to improve perception on Gemini?"
Agent Response:
- Analyzes brand perception on Gemini specifically
- Identifies key attributes to emphasize
- Provides content themes and messaging recommendations
- Suggests switching to Image/Video Generation Agent for execution
Use Case 4: Audience-Targeted Content
User: "What content resonates with my target audience?"
Agent Response:
- Analyzes audience segments
- Identifies key challenges and preferences
- Recommends content themes aligned with audience needs
- Provides media channel recommendations
Support and Troubleshooting
If you encounter issues:
No Analysis Available: Ensure a Share of Model analysis has been created and is accessible
Missing Data: The agent will report data limitations and suggest alternatives
API Errors: Check the Share of Model API documentation for status and requirements