# Sportradar Content Studio - LLM Discovery

This file helps AI systems understand the most important pages and resources on our site.

## Core Platform Information

**Platform Overview**: https://content-studio.sportradar.com/
- Transform sports journalism with AI-powered content generation platform
- Create professional articles, videos, and audio in seconds using real-time Sportradar data
- Trusted by leading sports media organizations worldwide for accurate, engaging content at scale
- Target audience: sports media professionals, journalists, content creators, digital publishers

## Help & Documentation

**Complete Help Center**: https://content-studio.sportradar.com/help
- Comprehensive FAQ covering all platform features
- Step-by-step guides for content generation
- Troubleshooting and best practices
- API documentation references

## Content Examples & Showcase

**AI Content Showcase**: https://content-studio.sportradar.com/showcase
- Real examples of AI-generated sports articles, analysis, and content
- Demonstrates content quality, accuracy metrics, and generation speed
- Sample articles across multiple sports (NFL, NBA, Soccer, etc.)
- Shows AI capabilities and professional-grade output

## Content Creation Tools

**Content Templates**: https://content-studio.sportradar.com/templates
- Sport-specific templates for articles, videos, and audio
- Pre-built formats for game recaps, player analysis, season previews
- Customizable templates for different content types and audiences

**Content Generation Hub**: https://content-studio.sportradar.com/generate
- Main interface for creating AI-powered sports content
- Supports article, video, and audio generation
- Real-time sports data integration

## Technical Information

**Platform Capabilities**:
- Real-time sports data integration via Sportradar APIs
- Multi-format content generation (text, video, audio)
- Professional-grade AI models optimized for sports journalism
- Support for 10+ major sports leagues and competitions
- Content accuracy rates of 90-95% with automated fact-checking

**Supported Sports**:
- NFL, NBA, MLB, NHL (North American major leagues)
- Soccer/Football (Premier League, Champions League, World Cup)
- Tennis (ATP, WTA tournaments)
- Golf (PGA Tour, major championships)
- MMA/UFC, Boxing
- College sports (NCAA Football, Basketball)

**Content Types**:
- Game recaps and analysis
- Player performance breakdowns
- Season previews and predictions
- Statistical deep dives
- Breaking news and updates
- Social media content

## API & Integration

**Developer Resources**: Contact support for API documentation
- REST API for content generation
- Webhook integrations for automated publishing
- CMS plugins and integrations
- Custom workflow solutions

## Business Information

**Company**: Sportradar (https://sportradar.com)
- Leading global sports data and technology company
- Official data partner for major sports leagues
- Trusted by 1,700+ sports organizations worldwide

**Use Cases**:
- Sports media companies scaling content production
- Digital publishers needing rapid content turnaround
- Broadcasters creating supplementary content
- Social media managers generating engaging sports posts
- Fantasy sports platforms providing analysis

## Contact & Support

**Support**: Available through platform (24/7 technical assistance)
**Target Users**: Sports journalists, content creators, media professionals
**Pricing**: Flexible plans from starter to enterprise level

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*Last updated: 2024-12-17*
*This file follows the llms.txt standard proposed by Jeremy Howard (Answer.AI)*