Model Analytics - GEO Style Feature

What is Model Analytics?

Model-specific behavior analysis and strategies. Tracks performance per model including presence rates, citation rates, win rates, and model-specific patterns with cross-model presence tracking.

Key Benefit: Optimize per AI model

Subscription Tier: PRO

Feature Category: Analytics

How Model Analytics Works

Different AI models (ChatGPT, Claude, Gemini, Perplexity, Copilot) have different behaviors and preferences. Model Analytics provides deep insights into how you perform in each model, including presence rates, citation rates, win rates, and model-specific patterns. This helps you understand which models favor your brand and develop model-specific optimization strategies.

Why Model Analytics Matters for AI Visibility

Model Analytics is essential for optimizing your brand's visibility in AI-powered search results and recommendations. As AI systems like ChatGPT, Claude, Gemini, Perplexity, and Microsoft Copilot become primary sources of information for B2B buyers, understanding and optimizing for AI discovery is critical. Model Analytics helps you optimize per ai model, making it easier for AI systems to find, understand, and recommend your brand when users ask relevant questions.

AI Models Supported

Model Analytics works across all major AI platforms including OpenAI ChatGPT, Anthropic Claude, Google Gemini, Perplexity AI, Microsoft Copilot, and DeepSeek. This ensures comprehensive coverage of how your brand appears in AI-generated responses across different models and use cases.

Use Cases for Model Analytics

Here are the primary ways businesses use Model Analytics to improve their AI visibility:

• Use Case 1: See how you perform in each AI model
• Use Case 2: Develop model-specific optimization strategies
• Use Case 3: Identify which models drive the most value
• Use Case 4: Track cross-model presence and consistency

Getting Started with Model Analytics

To start using Model Analytics, sign up for a pro account on GEO Style. The PRO tier provides full access to Model Analytics along with advanced features and higher limits.

Related Features

• Decision Feed: Command queue of buying decisions you're winning or losing, ranked by impact score. Shows status (LOST, WEAK, COMPETITIVE, WON), winning competitor, explanation, and suggested actions. Prioritize high-impact opportunities
• GEO Maturity Model: Assess decision intelligence maturity (0-5 scale) with actionable next steps. Calculates level based on presence rate, citation rate, share of voice, recommendation weight, first position rate, and cross-model presence. Know your AI discovery maturity
• Competitive Intelligence: Head-to-head comparisons showing who AI chooses and why. Tracks share of recommendations, win rates, prompt dominance, and competitor movements (gains/losses). Understand competitive position

GEO and Generative Engine Optimization

Model Analytics is part of GEO Style's comprehensive suite of Generative Engine Optimization (GEO) tools. Unlike traditional SEO which optimizes for search engine rankings, GEO optimizes for AI discovery and recommendations. This means your content, brand information, and expertise are structured and presented in ways that AI systems can easily understand, cite, and recommend to users asking relevant questions.

Keywords and Topics

Relevant keywords: model analytics, AI visibility, GEO, Generative Engine Optimization,analytics, AI recommendations, ChatGPT optimization, Claude optimization, Gemini optimization, Perplexity optimization, AI discovery, B2B AI visibility, pro tier features.