BottleTrail is an AI brand analytics platform that provides real-time insights on brand sentiment, share of voice, and perception across multiple AI models such as GPT, Claude, Perplexity, and Gemini.
Features
Multi-Model Analysis
Access brand metrics across four leading AI models and track how each model discusses your brand with detailed comparisons.
Share of Voice
Analyze and measure the amount of conversation attributed to your brand compared to competitors within AI model interactions.
Sentiment Tracking
Track and analyze the sentiment of AI-generated content discussing your brand to understand positivity, negativity, or neutrality in perception.
Trait Analysis
Identify key traits and characteristics that AI models attribute to your brand, providing insight into brand personality and positioning.
Custom Organization
Set up Workstreams and Campaigns for tailored brand analysis focused on specific marketing goals or product lines.
Chat Simulation
Conduct automated chat simulations to see how AI discusses your brand in conversation, providing actionable insights on brand representation.
Market Intelligence
Gather comprehensive data to inform strategy by analyzing brand presence and competitiveness across the AI model landscape.
AI Search Optimization
Provides strategies to optimize online presence for AI search engines like ChatGPT, boosting visibility in AI-generated responses.
Generative Engine Optimization
Explains the concept of Generative Engine Optimization and how it differs from traditional SEO, helping businesses adapt to AI-driven search engines.
AI Tokens Explained
Offers an understanding of AI tokens, their role in AI models like ChatGPT, and their impact on efficiency, costs, and performance.
Brand Visibility Analysis
Provides insight into whether and how your brand appears in AI-generated responses, offering real visibility instead of guesswork.
AI-Driven Summaries
AI search engines generate concise responses based on aggregated information, differing from traditional ranking of pages.
Conversational & Contextual
Optimizes for natural language and context-aware responses, aligning with AI search priorities for more user-friendly interactions.