Show HN: I built a tool to check website access for 14 AI crawlers (floxolab.com)

A developer has introduced a new tool that checks website accessibility for 14 AI crawlers, significantly enhancing the ability of webmasters to understand how different crawlers interact with their sites. The tool evaluates a URL based on several factors, including the site's `robots.txt` file, HTTP status codes, meta tags, and the availability of content without JavaScript. By applying standardized rules and constraints from various crawlers, the tool categorizes access as allowed, partially allowed, blocked, or unknown for each agent, providing a detailed verdict on crawler access. This tool is particularly relevant for the AI/ML community as it addresses critical concerns regarding data accessibility and ethical web scraping practices. With more businesses relying on AI-driven insights, the ability to monitor and control how training and search crawlers access content is vital. Key technical features include the support for crawler-specific user agents, the impact of server responses, and the limitations of user-initiated requests. This innovation empowers developers and site owners to make informed choices about their web content's discoverability, balancing the needs of AI training with traditional indexing tasks.