A Practical Guide to Implementing JSON-LD Structured Data on Personal Websites
By
Ethan Hawksley
Summary
A practical guide to implementing JSON-LD structured data on personal websites for improved SEO and richer link previews. The article covers fundamental JSON-LD schemas including WebSite, Person, BlogPosting, and Article, with ready-to-use code snippets. It explains how structured data helps search engines understand page semantics and provides implementation strategies for personal sites, including the author's own experience building their site over ~100 hours of coding.
Source
Hacker NewsA Practical Guide to Implementing JSON-LD Structured Data on Personal Websiteshawksley.devKey quotes
· 3 pulledJSON-LD, also known as JSON Linked Data, is a format for adding structured data to webpages.
It can aid web crawlers in understanding the semantic structure of your site, qualifying you for richer link previews, and even potentially improving your search ranking.
Wakatime estimates I've spent ~100 hours coding now, not including time spent researching and testing.
You might also wanna read
Structured outputs guide
Google and Schema.org release first public dataset on structured data adoption across millions of domains
Schema.org, in collaboration with Google, has published its first public dataset of aggregate usage statistics for structured data vocabular
ppc.land·28d ago
Experiment reveals LLMs fabricate schema markup data rather than genuinely parsing it
An experiment testing whether large language models actually parse schema markup or simply fabricate responses. The author placed fake compa
searchenginejournal.com·18d ago
Structured outputs samples
Why Treating LLMs as Black-Box Problem Solvers Fails: Lessons from Processing 100 Compliance PDFs
The article discusses the author's experience transforming 100 messy compliance PDFs into structured JSON rules. It critiques the common app
towardsdatascience.com·1mo ago
LinkedIn Researchers Propose Unified SLM Framework for Industrial Semantic Search Query Understanding
This paper presents a unified structured query understanding framework for industrial semantic search, developed and deployed at LinkedIn. T
arxiv.org·1mo ago
Comments
Sign in to join the conversation.
No comments yet. Be the first.