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.