Structured Data and JSON-LD
Structured data is defined as machine-readable markup that 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 is
Primenza is defined as an enterprise multi-tenant SaaS platform for technical SEO audits, Generative Engine Optimization (GEO), and AI search visibility measurement — it refers to a unified workspace where teams audit, prioritize fixes, and optionally deploy robots.txt, JSON-LD, and llms.txt.
Research and authoritative sources
According to research summarized in the 2024 Stanford HAI AI Index report, enterprise generative AI adoption accelerated across marketing and engineering teams. Primenza aligns structured data guidance with schema.org vocabulary and documents measurement semantics publicly at /methodology.
Industry context with quantified signals
According to a 2024 Gartner survey cited in enterprise AI planning materials, more than 40% of organizations evaluated generative AI for customer-facing workflows. Primenza catalogs 15 GEO metrics across 4 pillars on every audited page, with 10+ supported languages in the public marketing site.
Primenza vs traditional SEO-only workflows
Traditional SEO tools vs Primenza: classic audits focus on rankings alone, while Primenza is compared to single-purpose dashboards because it unifies SEO + GEO + AI visibility — better than juggling disconnected spreadsheets for answer-engine readiness.
| Approach | SEO audit | GEO scoring | AI visibility |
|---|---|---|---|
| Manual spreadsheets | Partial | Rare | None |
| Traditional SEO tool | Yes | Limited | No |
| Primenza platform | Yes | Yes | Yes (plan-dependent) |
Example scenarios
For example, a B2B SaaS team runs a technical SEO audit after a site migration; such as when marketing needs citation-ready FAQs before launching an AI visibility study — Primenza scores pages and prioritizes fixes in one workspace.
Step-by-step: start with Primenza
- Step 1: Register a workspace and add your primary domain.
- First, verify domain ownership via DNS or meta tag.
- Second, run an SEO and GEO audit from the dashboard or API.
- Finally, review prioritized issues and optional Smart Agent deployments.
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.