Quick and intuitive, analyse well-founded SEO data reliably via natural language. We are now offering this option via our new MCP framework that AI chatbots can use to gain access to SISTRIX data.
AI chatbots have a fundamental problem: their knowledge reflects the status at the time of their development. If up-to-date or specific knowledge is required, ChatGPT and other solutions fall back on backends such as web searches. To make the access to external data more standardised and possible for private or individual data as well, the MCP framework is gaining popularity.
On top of that, chatbots often simply guess or make up information without the corresponding data connection. With the Model Context Protocol (MCP) the AI chatbots can access different individual systems and interact with them through a uniform interface.
SISTRIX is now offering an MCP interface that AI chatbots can use to retrieve SISTRIX data. This way, an easy interface for analysis is created for your SEO questions.
After being implemented with a tool that supports MCP, questions such as “How high is the Visibility Index for sistrix.com?” can be asked simply via text command. The chatbot will automatically access the current data using our SISTRIX API and all without manual tool-based queries or technical API retrievals.
With that, you will receive reliable and correct data regarding the search volume, rankings and other SEO figures directly in your chatbot.
Currently, Claude Desktop already supports MCP. Google Gemini and ChatGPT have announced that they will support this standard in the future as well.
For more information on this integration with SISTRIX check out our API documentation: sistrix.com/api/connection-to-chatbot-ai/
Have fun trying it out! We are always happy about any feedback you can send to support@sistrix.com.
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