Show HN: agent-asearch – Go CLI, 18 sources, session-based search for AI agents

izzzzzi's release of agent-asearch, a Go CLI tool with 18 sources for session-based search for AI agents, marks a significant development in the accessibility of large language model (LLM) search capabilities. This means that website owners can now leverage agent-asearch to efficiently search and manage AI-related content across multiple platforms, including web, Reddit, GitHub, and YouTube, all from a single binary. The session-based workflow and JSON contract features enable a more streamlined and structured approach to searching for AI agents, which can be particularly useful for tracking AI bot traffic and understanding how LLMs interact with their websites. To take advantage of this development, website owners can start by using agent-asearch to monitor AI-related discussions on platforms like Reddit and Twitter, and then update their llms.txt files accordingly to reflect any changes in AI bot traffic patterns. Additionally, they can utilize agent-asearch to explore new sources of AI-related content, such as Tavily and Exa, and adjust their content policies to better accommodate LLM-generated content. By doing so, website owners can gain a better understanding of how AI agents interact with their online presence and make data-driven decisions to optimize their AI bot tracking and management strategies.