How to Create Valid JSON-LD Structured Data for an Ar

Gather canonical facts

Before generating markup, confirm the canonical page URL, headline or organization name, public logo or image URL, author, publication date, modification date, and publisher. Use absolute HTTPS URLs that load without a private session. The headline and dates should match the rendered page. If the article was substantially updated, expose that information visibly rather than changing structured data alone.

For an organization, use the durable legal or public brand name and only include profiles that genuinely belong to it. Do not invent ratings, awards, locations, or contact details.

Generate the JSON-LD

Open the [FinderPress JSON-LD Generator](/utilities/schema-generator), choose Article or Organization, and complete the relevant fields. Copy the generated script and add it through one controlled template or metadata component. The generator escapes the values for JSON output and runs in the browser.

Avoid publishing multiple conflicting objects from a theme, SEO plugin, tag manager, and custom template. When several systems emit structured data, map the intended graph and remove duplicates at the source.

Keep markup synchronized with visible content

A reader should be able to find the important structured claims on the page. If JSON-LD names an author, show an author byline or profile. If it identifies a logo, the image should represent the organization. If it supplies a breadcrumb trail, the hierarchy should make sense to a visitor. Hidden or misleading markup can make the page ineligible and undermine trust.

Update templates when URLs, brand names, article ownership, or content models change. Hard-coded staging hosts and obsolete logos are common sources of errors.

Validate syntax and eligibility

First parse the JSON to catch syntax errors, then use Google’s Rich Results Test for supported search features and Schema.org’s validator for vocabulary checks. Inspect the final public URL, because server rendering, escaping, caching, and consent tools can alter the deployed markup. Search Console reports may take time to refresh after a fix.

Warnings can indicate recommended fields; errors indicate invalid or missing requirements for the tested feature. Read the current documentation for the exact type rather than adding unrelated properties until the warning disappears.

Avoid fake ratings and review markup

Do not create a five-star aggregateRating unless the page displays genuine, eligible reviews collected under the relevant platform and search policies. An organization marking up reviews about itself may not qualify for self-serving review features. Similarly, directory source ratings should not be presented as FinderPress customer reviews.

Structured data is not a mechanism to request sitelinks or force category pages beneath a branded result. Clear navigation, stable architecture, useful titles, internal links, and crawlable pages provide the underlying signals.

Source and editorial note

Primary reference: Google Search Central—Understand how structured data works. Also consult the current documentation for the specific feature you implement. FinderPress generates a starting object; it does not certify eligibility, accuracy, policy compliance, ranking, or rich-result display.