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The battle to AI-enable the web: NLweb and what enterprises need to know
- Anthropic’s Model Control Protocol (MCP), Google‘s Agent2Agent, and LLMs.txt are protocols emerging for AI-enablement, focusing on making websites accessible for AI.
- Microsoft’s NLWeb, linked to the first-generation web protocols, allows easy integration of AI-powered conversational interfaces, essentially transforming websites into AI apps.
- NLWeb utilizes existing structured data formats like RSS, enabling websites to become AI-powered through a process that leverages modern AI technologies.
- NLWeb simplifies the integration of AI capabilities on websites by processing structured data, enhancing it with external knowledge using LLMs, and creating a universal natural language interface for users and AI agents.
- Different AI protocols such as Google’s Agent2Agent and LLMs.txt serve specific purposes like agent communication and improved access to web content, distinct from NLWeb’s focus.
- NLWeb offers advantages in controlling how AI systems interpret website content and interact, providing better navigation and understanding.
- Enterprises like Chicago Public Media, Eventbrite, and O’Reilly Media are already leveraging NLWeb to enhance their websites and AI capabilities.
- NLWeb presents a valuable opportunity for enterprises to optimize internal AI capabilities for tasks like data retrieval and content understanding.
- While NLWeb is in early stages, leading-edge companies can pilot it for internal use, but substantial adoption may still take a few years to mature.
- Enterprise AI leaders should consider NLWeb as a crucial technology for AI-enabling their websites, paving the way for enhanced user experience and AI interaction.
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