Article Schema Generator

An Article Schema Generator creates JSON-LD describing an editorial article: its headline, canonical page, author and publication or modification dates. It is useful for blogs, news-style resources and other editorial pages when the site already has accurate byline and date information.

Article metadata is often assembled from several CMS fields, which can lead to mismatches between visible bylines, Open Graph data and structured data. Generating from known fields helps teams see exactly what they are declaring and avoid invented authors or dates.

1. 1Enter the visible article headline and canonical URL.
2. 2Add the real author name exactly as the page presents it.
3. 3Use the actual publication date and modification date if the content was materially updated.
4. 4Generate the JSON-LD and compare it with the page metadata.
5. 5Validate after deployment and keep dates synchronized with editorial updates.

• `headline` describes the article title.
• `mainEntityOfPage` identifies the canonical page being described.
• `author` should represent a real person or organization responsible for the content.
• `dateModified` should change when the article meaningfully changes, not on every render.

• Using a fictional expert name for credibility.
• Resetting dateModified every day.
• Schema headline differs from the visible H1 because fields are maintained separately.
• Article URL points to a tracking or preview version.

• Feed schema from the same content record that renders the visible article.
• Use organization authorship honestly when an editorial team writes collectively.
• Keep canonical URL generation centralized.
• Only update modification dates for substantive editorial changes.

• Make authorship transparent.
• Connect publisher or organization data consistently if you add those fields.
• Use image properties only for real representative images.
• Avoid adding review or rating fields that do not belong to the article.

The generator covers a practical base set of Article fields. Specific search features may expect additional properties such as images or publisher details, and those should be added only when accurate.