Date Created: June 30, 2025
Getting Started with Your MINT Dashboard
When you first access MINT, your home dashboard displays all current and future projects you'll create. This centralized hub serves as your command center for AI search optimization activities across multiple brands or campaigns.
Key Dashboard Features:
- Project overview and status tracking
- Quick access to recent analysis reports
- Performance snapshot across all monitored brands
Project Settings Configuration
Your project settings form the foundation of accurate AI search analysis. Access these settings to establish the analytical framework that will guide all subsequent insights and recommendations.
Domain and Market Setup
Configure your primary domain name for comprehensive content analysis. Select your focused market region to ensure location-relevant AI search results that match your target audience's geographic context.
Set your main language preference to optimize prompt effectiveness and ensure AI models process your content using appropriate linguistic parameters for maximum accuracy.
Competitor Set Management
Dynamic Competitor Configuration: Add and modify competitor brands throughout your analysis period. You can update competitor sets by editing single entries or adding multiple new brands to track emerging competitive threats.
Visibility Prompt Expansion: Enhance your visibility analysis by adding new tracking topics and keywords. This flexibility allows you to monitor additional search queries as your business priorities evolve.
Brand Alignment Analysis Setup
Configure specific brand attributes that AI models will fact-check across their responses. This feature ensures your brand messaging remains consistent and accurate in AI-generated content.
Common Brand Attributes to Track:
- Key company information and positioning
- Pricing structures and commission rates
- Product specifications and unique selling points
- Company values and mission statements
Customize fact-checking alignment prompts to match your brand's specific verification needs while maintaining the standard analysis framework.
Sentiment Analysis Customization
While MINT provides robust generic sentiment analysis, you can fine-tune sentiment detection parameters to match your industry's unique language patterns and customer communication styles.
Account Settings Management
Access account settings to adjust subscription plans, add team members, or select different AI models for analysis. This flexibility ensures your MINT configuration scales with your organization's growing needs.
Core Analytics and Insights
MINT's analytics section provides comprehensive insights into your brand's AI search performance across multiple dimensions. These insights help you understand current visibility, identify improvement opportunities, and track progress over time.
Visibility Score Tracking
Primary Metric: Your visibility score represents the percentage of mentions your brand receives across all configured visibility prompts. This metric provides a clear benchmark for AI search performance.
Competitive Analysis: Compare your brand's visibility against defined competitors and monitor overall industry share of voice. This analysis includes both specified competitors and additional brands discovered during AI search processes.
Temporal Analysis: Track visibility trends over custom date ranges to identify seasonal patterns, campaign impacts, or competitive movements. Filter results by specific AI models to understand platform-specific performance variations.
Domain Ranking Analysis
Examine the sources AI models consult when generating responses about your brand and industry topics. This analysis reveals whether information comes from your owned properties or third-party sources.
Source Authority Assessment:
- Identify high-authority domains citing your brand
- Monitor third-party content accuracy and messaging
- Track citation frequency across different AI models
Sentiment Analysis Deep Dive
Monitor how AI models perceive and present your brand across their responses. MINT tracks whether AI-generated content portrays your brand positively, neutrally, or negatively.
Detailed Sentiment Insights:
- Overall sentiment trend analysis
- Model-specific sentiment variations
- Individual response examination with specific examples
Response Analysis Example: Access individual AI responses like "What do you think about [Brand]?" to review specific positive elements and identified limitations or weaknesses that models communicate to users.
Advanced Response Investigation
Intermediate Query Analysis: Examine the sub-queries AI models formulate when researching your brand. This reveals how AI systems break down complex questions into component research tasks.
Citation Network Mapping: Review all websites and sources cited in AI responses to understand your brand's information ecosystem and identify potential content optimization opportunities.
Source Filtering: Filter citation analysis by AI model type and sentiment to focus on specific platforms or response categories for targeted optimization efforts.
Brand Alignment and Protection
Alignment Score Monitoring
Track your overall alignment score, calculated as the average accuracy across all monitored brand attributes and AI model responses. This metric indicates how consistently AI systems present your brand information correctly.
Attribute-Level Analysis: Examine individual brand attributes across different AI models to identify specific messaging inconsistencies or factual errors requiring attention.
Detailed Response Review: Access complete AI responses with intermediate queries and citation sources to understand how specific brand information gets processed and presented.
Source Misalignment Investigation
Misaligned Source Identification: Discover which third-party sources provide information that contradicts your desired brand messaging. For example, identify why certain industry publications might not align with your preferred positioning.
Content Optimization Opportunities: Use misalignment data to guide content creation and SEO efforts targeting specific sources and topics where your brand messaging needs reinforcement.
Competitive Landscape Analysis
Compare your brand directly against selected competitors to understand relative positioning in AI search results. This analysis reveals how prospects researching your brand versus competitors will encounter comparative strengths and weaknesses.
Competitive Insights Include:
- Side-by-side brand comparison results
- Relative visibility across different query types
- Competitive advantage and weakness identification
- Source authority comparison between brands
Data Explorer: Advanced Analytics
The Data Explorer provides comprehensive access to MINT's complete database of AI interactions, citations, and source analysis across all monitored prompts and models.
Database Filtering Capabilities
Multi-Dimensional Filtering: Filter the complete citation database by intermediate queries, indexes, sources, AI models, and prompt categories. This granular access enables sophisticated analysis of specific factors influencing AI responses.
Visibility-Specific Analysis: Focus on organic visibility prompts to understand how naturally-occurring searches present your brand versus paid or promotional content.
Platform-Specific Insights: Examine whether major platforms like Wikipedia or Reddit significantly influence AI responses about your brand and industry.
Export and Advanced Analysis
CSV Data Export: Export filtered datasets for deeper analysis using external tools. This enables advanced statistical analysis, custom visualization creation, and integration with existing business intelligence systems.
Content Optimization Guidance: Use Data Explorer insights to identify content optimization opportunities on both owned properties and third-party platforms where your brand messaging could benefit from enhancement.
FAQ Section
What appears on my MINT dashboard when I first log in?
When you first access MINT, your home dashboard displays all current and future projects you'll create, serving as your centralized command center for AI search optimization activities across multiple brands or campaigns.
How do I set up my domain and market preferences?
Configure your primary domain name for comprehensive content analysis, select your focused market region for location-relevant AI search results, and set your main language preference to optimize prompt effectiveness.
Can I change my competitor list after initial setup?
Yes, you can add and modify competitor brands throughout your analysis period by editing single entries or adding multiple new brands to track emerging competitive threats.
What does my visibility score mean?
Your visibility score represents the percentage of mentions your brand receives across all configured visibility prompts, providing a clear benchmark for AI search performance against competitors.
How does brand alignment analysis work?
Brand alignment tracks how consistently AI systems present your brand information correctly by monitoring specific brand attributes that AI models fact-check across their responses.
What is the Data Explorer used for?
The Data Explorer provides comprehensive access to MINT's complete database of AI interactions, citations, and source analysis, allowing you to filter and analyze data across multiple dimensions for advanced insights.
Can I export data from MINT for further analysis?
Yes, you can export filtered datasets as CSV files for deeper analysis using external tools, enabling advanced statistical analysis and integration with existing business intelligence systems.
How often should I check my MINT analytics?
Regular monitoring helps track visibility trends, identify seasonal patterns, campaign impacts, and competitive movements, with the flexibility to filter results by custom date ranges and specific AI models.
Getting started with MINT provides immediate insights into your AI search presence while establishing the foundation for ongoing optimization efforts. The platform's flexibility allows you to adapt monitoring parameters as your business priorities evolve, ensuring continued relevance and actionable intelligence for AI search optimization.