Glossary

Structured data / JSON-LD

Structured data is machine-readable markup based on the schema.org vocabulary, rendered as JSON-LD in a <script> tag, that lets search engines and AI engines extract and cite page content with precision.

Also known as

  • structured data
  • structured data
  • JSON-LD
  • schema.org

The most useful schema types for a 2026 B2B SaaS are: **Organization** (company identity), **WebSite** (Google sitelinks search box), **SoftwareApplication** (with Offers for pricing), **Article** (with datePublished / dateModified for freshness), **FAQPage** (expandable rich results in SERPs), **HowTo** (procedural steps), **BreadcrumbList** (breadcrumb navigation), **DefinedTerm** (glossary entries). Pages with advanced structured data receive **3.2× more AI citations** than those with basic or absent markup (2026 AEO research).

Best practices: stack multiple schemas per page (up to 6 on Brandyze's featured product pages), use `@id` to cross-reference entities (e.g., the home page Organization referenced as the publisher of each Article), and keep `dateModified` updated with every content change.

In the getchatsocial.com product

getchatsocial.com stacks 3–5 schemas per programmatic page: Organization + WebSite + SoftwareApplication (baseline layout) + BreadcrumbList + Article + FAQPage + HowTo (per page). Inspectable via DevTools on any compare or use-case page.

FAQ

  • JSON-LD or microdata — which format should I choose?

    JSON-LD, recommended by Google since 2015: it sits in a dedicated <script> tag, does not pollute the HTML, and is easier to maintain. Microdata remains valid but is in steady decline.

  • Can you stack multiple schemas on the same page?

    Yes, and it is actually recommended. A page can combine Organization + WebSite (baseline) + BreadcrumbList + Article + FAQPage — either as multiple <script type="application/ld+json"> blocks or as a single @graph.