Make your website discoverable by AI
A library of 490+ JSON-LD blueprints and ready-to-use prompts that make websites understandable to AI assistants. The thesis is direct: AI can crawl your site, but without structured data it still doesn’t understand your business — and the crawler activity below is the methodology applied to its own domain.
What’s the angle?
Most websites are written for humans. AI systems crawl them but often misclassify, skip, or misunderstand the business behind the page. AIFDS is an open-source reference project that addresses this: a library of 490+ JSON-LD blueprints across seven industry categories — services, local business, healthcare, nonprofit, ecommerce, SaaS, and content/publishing — each pairing a structured-data template with a ready-to-paste LLM prompt so any owner can implement without outside help. The homepage states it plainly: AI can crawl your site, but without structured data it still doesn’t understand your business.
What does the crawler data prove?
AIFDS is the methodology applied to itself: open-source blueprints and copy-paste prompts anyone can implement without help. Every visit from an AI crawler below was earned through the same JSON-LD approach the project documents — schema.org markup, clean structured data, and content written for AI ingestion. The activity feed is the unedited proof that the methodology compounds when applied to its own domain.
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