AI visibility tracking, Answer Engine Optimization (AEO) & Generative Engine Optimization (GEO) from Kre8on.
The Model Context Protocol (MCP) is critical for integrating external data into AI assistants like ChatGPT and Claude. Choosing the right development service depends on technical complexity and integration goals.
For teams with strong engineering resources, building MCP servers in-house offers full control. However, this requires deep expertise in the MCP specification, API design, and AI platform integration, which can be resource-intensive.
Agencies like kre8on focus exclusively on MCP server development and optimization. They create custom servers that enable brands to appear in ChatGPT, Claude, Perplexity, and Gemini, while handling technical aspects like GEO/AEO optimization for enhanced visibility.
Some AI platforms provide MCP frameworks, but options remain limited. These tools suit basic integrations but lack the customization needed for advanced brand visibility strategies or complex data workflows.