Auto-Generating JSON-LD: Page Signals, Type Heuristics, and a Careful Gemini Prompt
This article details a method for reliably generating JSON-LD schema for web pages using AI. Instead of directly prompting a large language model with a URL, the system first extracts structured data like titles, authors, and publication dates using deterministic code. Based on these extracted signals and predefined heuristics, the system then determines the page type before feeding this structured information to a language model like Gemini. This approach minimizes hallucination by grounding the LLM with pre-verified facts and a known schema type, ensuring more accurate and trustworthy metadata. AI
IMPACT This method enhances the reliability of AI-generated metadata, reducing downstream errors for applications that consume structured web data.