# CategoryRank - AI Memory Tracking Platform

## What is CategoryRank?

CategoryRank measures how AI models (GPT, Claude, Gemini, etc.) remember and recommend brands. We track 10+ AI models weekly across 2,000+ categories.

## Key Concepts

### AI Memory
How AI models remember and recommend brands, products, or companies. When users ask AI for recommendations, your brand either gets mentioned or it doesn't.

### Pre-Click AI Intent Layer
The invisible layer of digital influence that controls discovery before clicks, traffic, or analytics exist. 60% of AI answers generate zero clicks - the recommendation IS the destination.

### Category Consensus
Agreement across multiple AI models on brand recommendations. High consensus (80%+) = market truth. Low consensus (<50%) = opportunity zones where you can influence AI perception.

### Model Drift
Changes in how AI models remember or recommend brands over time. Positive drift = increased visibility. Negative drift = decreased visibility.

## What We Track

- **10+ AI Models**: GPT-4, GPT-4o-mini, Claude, Gemini, DeepSeek, Mistral, Cohere, Perplexity, xAI Grok, AI21, Groq
- **2,000+ Categories**: From "analog semiconductors" to "fitness wearables"
- **16,000+ Brands**: Tracked weekly with full historical data
- **Weekly Updates**: Fresh data every week to track drift and changes

## Core Metrics

1. **AI Visibility Score**: Weighted average across models based on user reach (GPT has 200M users, so it weights 10x more than AI21 with 20M)
2. **Category Coverage**: How many categories a brand appears in
3. **Ranking Position**: Where brands appear in AI recommendations (1-15 scale)
4. **Model Consensus**: Agreement level across different AI models

## Use Cases

1. **Brand Managers**: Track your brand's AI memory score vs competitors
2. **SEO/Marketing**: Understand the pre-click AI layer that owns discovery
3. **Investors**: Analyze AI perception as a leading indicator of brand strength
4. **Agencies**: Monitor portfolio of client brands across AI models

## Pages to Explore

- /about - Company mission and methodology overview
- /methodology - Detailed scoring methodology
- /glossary - AI visibility terminology definitions
- /categories/explorer - Browse categories by consensus level
- /brands - Browse all tracked brands
- /pricing - Free, Pro ($79/mo), Team ($299/mo) plans

## Contact

Website: https://www.categoryrank.ai
Email: hello@categoryrank.ai

## Technical Notes

- Data is collected weekly using standardized prompts across all models
- Scores are normalized using exponential decay (Rank 1 = 95%, Rank 2 = 75%, etc.)
- Consensus is computed by measuring agreement across model responses
- Historical data enables drift tracking and trend analysis