Unique Data Sources - Strategic Content Distribution for AI Search

Problem

Each AI Service builds its models off of different data sources, some of which they heavily favor. By taking the opportunities that reporting on competitive rankings shows, you can then build content and strategically distribute it to help rank your brand.

Action

For example, if you want to rank in ChatGPT beyond just having your site accessible, you should put your content on LinkedIn as they have a partnership with Microsoft (who also owns LinkedIn); if it’s technical content, also put it on GitHub (owned by Microsoft).

However, both Claude and ChatGPT have signed agreements to access data on Reddit.

Track which services rely on which data sources in order to out-distribute and outrank your competitors.

Platform-Specific Distribution Strategy

ChatGPT / OpenAI

• LinkedIn - Microsoft partnership, professional content
• GitHub - Technical documentation, code samples
• Reddit - Community discussions, Q&A
• Your website - Direct crawling via GPTBot

Claude / Anthropic

• Reddit - Partnership for community content
• Your website - Direct crawling via ClaudeBot
• Academic sources - Research papers, technical content

Perplexity

• Real-time web - Recent published content
• News sources - Current events, announcements
• Your website - Direct crawling via PerplexityBot

Key Takeaways

• Each AI service has preferred data sources due to partnerships and licensing
• Multi-platform distribution is essential—your website alone isn’t enough
• Match content types to platforms (LinkedIn for professional, GitHub for technical, Reddit for community)
• Track which platforms each AI service favors to optimize your distribution strategy

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