Structured Data and JSON-LD
Structured data helps search engines and AI systems interpret entities, offers, FAQs, and page types. Primenza Schema Intelligence analyzes coverage, generates JSON-LD recommendations, and can deploy approved markup via Smart Agent.
What Primenza audits
Schema audits detect existing JSON-LD and microdata, validate common issues, and highlight missing types relevant to your pages — aligned with Primenza supported schema catalog.
JSON-LD generation
Primenza can generate JSON-LD for eligible page types based on crawl analysis and configured templates. Generated markup should be reviewed before deployment.
Supported schema types
Primenza works with common schema.org types including Organization, Person, Product, FAQ, Service, Article, WebSite, WebPage, Breadcrumb, SoftwareApplication, Dataset, and others in the platform catalog.
Deployment options
Teams can export recommendations manually or use optional Smart Agent for signed deployment of approved schema files alongside robots.txt and llms.txt.
Limitations
Valid JSON-LD is a prerequisite many engines use, but it does not guarantee rich results, AI citations, or specific SERP treatments. Primenza validates and recommends markup from crawled pages.
Primenza schema capabilities
- Schema Intelligence analysis and generation
- JSON-LD on Primenza marketing pages as reference patterns
- API endpoints for schema analyze, generate, and deploy
- Integration with entity and GEO structure metrics
References
Frequently asked questions
Will JSON-LD guarantee rich results?
No. Valid structured data is a prerequisite many engines use, but rich result eligibility is decided by each platform.
Is JSON-LD separate from structured data?
JSON-LD is one structured data format. This page covers JSON-LD as Primenza primary deployment format.