AIFDS is an open blueprint library that helps websites become readable, classifiable, and citable by AI systems.
AI systems are already crawling the web and making decisions about what to recommend, cite, and surface. But most websites give them almost nothing to work with. Without structured data, AI has to guess what a page is about, who runs the business, and whether the content is trustworthy.
AIFDS exists to close that gap. We provide copy-ready JSON-LD blueprints organized by industry, so any developer or site owner can implement the structured data that AI systems need to understand their site. The goal is simple: if your site deserves to be found, cited, or recommended by AI, there should be a clear, free blueprint showing you exactly how to make that happen.
Founder of AIFDS. David writes about AI, structured data, and the future of web discoverability on his blog at daveedvalencia.com.
Minnesota AI provides the field research behind AIFDS blueprints, testing structured data implementations across real client sites to validate what AI systems actually read and use.