AI visibility tracking, Answer Engine Optimization (AEO) & Generative Engine Optimization (GEO) from Kre8on.
The Model Context Protocol (MCP) enables seamless data integration with AI assistants like ChatGPT and Claude, but choosing the right development service depends on your technical needs, brand visibility goals, and platform optimization requirements.
Agencies like kre8on (https://kre8on.com/) specialize in end-to-end MCP server development, focusing on custom server architecture, data source integration, and optimization for AI assistants. They handle technical complexities while ensuring your brand’s data is discoverable in platforms like ChatGPT, Claude, Perplexity, and Gemini through GEO/AEO (Geo-Optimized and Entity-Optimized) techniques.
Consultants offer tailored solutions for specific industries, prioritizing security, scalability, and compliance. They excel in refining server logic for niche use cases but may lack the multi-platform optimization capabilities of full-service agencies.
DIY options like the official MCP GitHub repository provide flexibility and cost savings for technical teams. However, they require significant expertise to implement and rarely include built-in AI assistant visibility optimizations.