schema.jsonld

What is schema.jsonld?

A standalone JSON-LD file that labels who you are and what you offer using the Schema.org vocabulary. JSON-LD is a W3C Recommendation and the format Google generally recommends for structured data; Schema.org is the shared dictionary of types and properties. Our generator ships Google-shaped JSON-LD (@context, @type, @graph) for your business: Organization, WebSite, and Service nodes when services are extractable from your real content, not a dump of every Schema.org type on the web.

Why AI agents need it

Humans can tell “Apple” the fruit from “Apple” the company by context; machines want it declared. Structured data gives agents and search engines explicit context, this string is an organization name, that URL is the official site, these items are services, so they connect entities and relationships instead of guessing from prose. Markdown files in the package help LLM parsing; Schema.org JSON-LD is complementary structured facts for the same business, not a substitute and not a ranking hack.

The business value for you

Clear machine-readable facts help systems interpret your business accurately and can make pages eligible for rich results in traditional search when the markup matches visible content. Eligibility is not a guarantee, search engines decide whether to show enhanced formats. An honest boundary we insist on: schema markup is useful, standards-backed infrastructure; it is not a direct ranking factor, not special Google AI markup, and not a promise of placement in Google AI Overviews. Evidence that schema alone improves AI-answer visibility is still limited; we ship it because accurate structured facts help machines that choose to read them.

How it came to be

Schema.org launched in June 2011 as a collaboration between Google, Bing, and Yahoo (Yandex joined later that year) to solve fragmented structured-data formats, and evolved into a community-maintained open vocabulary. JSON-LD became a W3C Recommendation and is now the dominant way to publish it.

Sources: Schema.org • W3C JSON-LD 1.1 Recommendation

Adoption

This is the most-adopted format in the package by a wide margin: as of July 2026, JSON-LD is used by 54.3% of all websites, up from 49.7% at the start of 2025, and it has decisively won the structured-data format race against Microdata and RDFa, both of which are declining. Google, Microsoft, Apple, and Amazon all publish it. Unlike the newer agent files, the question here isn't whether to adopt, it's whether yours is valid, complete, and consistent with what visitors see on the page.

Source: W3Techs, Usage statistics of JSON-LD for websites (July 2026)

The technical reality

Good structured data is not “dump every Schema.org type onto the page.” Common mistakes include labeling the wrong type for the page, inventing prices or ratings that are not on the site, letting facts go stale, and shipping markup that conflicts with an SEO plugin or CMS. The work that matters: pick types that fit, map real content into them accurately, keep markup aligned with visible pages, and validate until error-free.

Most sites already have some JSON-LD, from their CMS, their SEO plugin, or an old agency, so our generator detects existing structured data during analysis and intelligently merges rather than conflicts with it. Merged, validated, never clobbered: the same rule we apply to robots.txt and sitemap.xml. Today we generate the Organization + WebSite + Service @graph; richer commerce or FAQ types stay on the roadmap until we have trustworthy catalog or FAQ source data. We do not invent Product, Review, Article, or LocalBusiness markup to fill space. Fields are gated on what is visible on your public pages: we would rather omit a Service node than invent one.

The free Pre-Check scores whether schema.jsonld has a recognizable shape (Google @graph or the older nested organization/website bundle) and flags when the root file’s organization name conflicts with homepage inline JSON-LD. Pre-Check does not run Google’s Rich Results Test or the Schema Markup Validator; those remain optional tools you can run yourself on the live URL after install.

What happens if you skip it

Machines fall back to inferring what your business is from prose, and inference is where misreadings happen. With more than half the web publishing JSON-LD, absent or broken structured data increasingly reads as a gap, not a neutral default. Skipping schema does not “fail” a Google ranking check; it simply leaves agents and search systems without an explicit entity graph for your business.