How to Use GetMint Explorer

What is the AI Explorer Section?

The Explorer section provides complete transparency into AI model behavior by showing intermediate queries generated after prompts and all sources consulted during research. This visibility helps you understand exactly how AI systems gather and process information to create responses.

Explorer Database Overview

Comprehensive Prompt Analysis

The Explorer displays an overview of all executed prompts with customizable filtering options. Users can adjust time periods and model selections to focus their analysis. For example, viewing over 500 prompts executed across models with 1,526 total links provides substantial data for optimization insights.

Database Functionality

The Explorer functions as a proper database with advanced filtering capabilities. Key features include:

• Export to CSV for data analytics integration

• Excel-compatible data formats

• Comprehensive filtering by multiple criteria

• Real-time data updates and tracking

Intermediate Query Intelligence

Understanding AI Research Patterns

The Explorer automatically retrieves intermediate queries for Anthropic and Google Gemini models. When AI processes prompts, it generates research queries to gather relevant information from various sources and indexes.

SEO Strategy Enhancement

Intermediate queries represent a new category of search behavior that differs from traditional human keyword searches. These automated queries are:

• Generated automatically by AI models

• Increasing dramatically in volume

• Critical for future content optimization

• Different from natural human search patterns

Strategic Content Optimization

Understanding intermediate queries helps create content optimized for AI research patterns. This represents a significant addition to existing SEO strategies, targeting how AI systems actually search for and evaluate information.

Source and Domain Analysis

Multi-Dimensional Filtering

The Explorer allows analysis by various dimensions including:

• Source domains and websites

• Specific AI models used

• Time periods and date ranges

• Prompt categories and types

Granular Data Extraction

Users can extract specific data sets for targeted optimization work. Whether focusing on owned assets or third-party sources, the Explorer provides granular access to:

• Individual prompt performance

• Model-specific behavior patterns

• Source credibility and usage frequency

• Domain authority and citation patterns

Strategic Applications

Content Strategy Development

The Explorer helps identify content gaps and optimization opportunities by showing exactly which sources AI models consult. This enables strategic improvements to competitive positioning in AI search results. 

Third-Party Relationship Building

By analyzing third-party sources frequently consulted by AI models, brands can identify potential partnership opportunities and influential platforms in their industry. 

Future Optimization Preparation

The Explorer provides foundational data for upcoming optimization features, helping users understand current AI behavior patterns before implementing strategic improvements.