Article and HowTo are two of the most common structured data types on the web, and both help machines — search engines and AI assistants alike — understand what a page contains beyond raw text: who wrote it, when, and (for HowTo) what the ordered steps actually are.
Why it matters for AI search: when an AI assistant needs to summarize or cite a piece of content, structured metadata (author, publish date, headline) gives it verifiable, unambiguous facts to work with instead of having to guess from page layout. HowTo's step-by-step structure is especially valuable for instructional queries — "how do I do X" is one of the most common query patterns AI assistants handle, and content that's already broken into named, ordered steps is easier for a model to extract and present accurately.
How this tool works: switch between the Article and HowTo tabs. For Article, fill in headline, description, author, publisher, URL, and publish date; for HowTo, fill in a name, description, optional total time, and an ordered list of named steps. Both tabs generate a complete <script type="application/ld+json"> block you can copy or download, updating live as you type.
Limitations: this tool generates markup from the fields you provide — it doesn't crawl your page to auto-fill values or verify that the markup matches your actual page content, which is your responsibility to maintain. It also doesn't cover every schema.org property (for example, Article's articleSection or HowTo's optional tool/supply lists) — for advanced use cases, use this tool's output as a starting point and extend it manually. Validate your final markup with Google's Rich Results Test before publishing.