Most Squarespace site owners figure the platform handles structured data for them. It injects the schema automatically, so what's the problem? The issue is that there's a real difference between JSON and JSON-LD, and Squarespace's built-in output doesn't go far enough. This piece explains what that difference is, where the platform falls short, and why it matters for how a site shows up in search.
JSON vs JSON-LD: What’s the Difference?
JSON (JavaScript Object Notation) is a general-purpose data format used in APIs, config files, and app communication. It's clean and readable, but it carries no meaning on its own. If a file contains "name": "Harlow Studio", a machine sees two strings. It doesn't know if that's a business name, a product name, or someone's first name.
JSON-LD uses the same syntax but adds two fields that change everything: @context and @type. The @context links the data to Schema.org, a shared vocabulary built by Google, Microsoft, Yahoo, and Yandex together. The @type tells crawlers exactly what kind of entity the page is about, a local business, a product, a blog post, a FAQ page. That combination is what turns raw data into something a search engine can actually interpret and act on.
JSON-LD also lives in a < script type="application/ld+json" > tag in the page head, separate from the HTML. On Squarespace, where page templates are locked, schema can be updated without touching any visible content on the page.
Limitations of Squarespace’s Default Schema Markup
Squarespace has been auto-injecting structured data since 2016. Blog posts get basic Article markup, headline, author, and publish date. Product pages get Product schema. Events get Event markup. It's all server-side rendered, so it's clean and crawlable without any JavaScript dependency. That's genuinely useful as a starting point.
The trouble is what Squarespace doesn't generate. There's no FAQPage schema, even on pages built entirely around questions and answers. No HowTo markup on step-by-step guides. No AggregateRating on review content. The detailed LocalBusiness fields that power Knowledge Panels and Maps listings, hours, service area, and coordinates are also absent. So are nested Person details for author credentials, which carry real weight for E-E-A-T.
Google doesn't hand out rich results just because schema is present somewhere on the page. The markup has to match the exact structure tied to each feature. A generic Article block will never earn FAQ dropdowns in search results, which requires a properly nested FAQPage block, which Squarespace simply doesn't create. A good Squarespace schema markup tool is designed specifically to fill in those missing pieces.
What Schema Squarespace Generates Automatically
Squarespace does generate some structured data automatically, but it’s fairly limited in scope. Basic Article schema is usually added for blog posts, covering simple fields like the headline and publish date. That’s helpful as a starting point, but most of the schema types that actually improve rich results and AI visibility still need to be added manually.
For example, the FAQPage schema is not automatically created by Squarespace, even if a page contains FAQ-style content. The same goes for detailed LocalBusiness schema, AggregateRating or review markup, HowTo schema, and Person schema for author credentials or expertise signals. These all require manual implementation if the goal is to give search engines a clearer context and improve how pages appear in search results.
How JSON-LD Improves Rich Results and CTR
Pages with rich result features consistently outperform plain blue links. Rotten Tomatoes found a 25% higher click-through rate on pages with structured metadata versus unstructured ones. At scale, that difference adds up quickly.
It's not complicated, why? A rich result takes up more space on the page, shows ratings or pricing or expandable FAQs before anyone clicks, and reads as more credible than a plain listing next to it.
Three near-identical pages were tested with structured data as the only variable. Only the page with proper JSON-LD appeared in a Google AI Overview, the no-schema page wasn't even indexed. With AI Overviews now appearing on 50-60% of searches, and tools like Gemini and Perplexity using structured context to build answers, that's a result worth paying attention to.
A Real Example of JSON-LD on a Squarespace Site
Here's a LocalBusiness block that a Squarespace service site would need to add on its own; the platform won't produce this level of detail automatically:
{
"@context": "https://schema.org",
"@type": "LocalBusiness",
"name": "Harlow Studio",
"url": "domain name",
"telephone": "+1-512-555-0174",
"address": {
"@type": "PostalAddress",
"streetAddress": "318 South Congress Ave",
"addressLocality": "Austin",
"addressRegion": "TX",
"postalCode": "78704",
"addressCountry": "US"
},
"openingHours": "Mo-Fr 09:00-18:00",
"priceRange": "$$"
}
Take out @context and @type, and this becomes plain JSON. Google's structured data parser won't touch it, and no rich result becomes possible.
Getting it onto a Squarespace page takes two routes. For schema that applies everywhere, Organization, WebSite, go to Settings → Advanced → Code Injection → Header and paste it there. For page-specific types like FAQPage or Product, use a Code Block inside the page editor instead. Paste the JSON-LD, turn off "Display Source Code," and it stays invisible to visitors but fully readable to crawlers.
Before calling it done, run everything through Google's Rich Results Test or schema.org/validator. Missing required fields are the single most common reason technically correct markup still fails to show rich results in search.
Why Manual JSON-LD Management Becomes Difficult
Hand-coding JSON-LD for one or two pages is manageable. On a site with dozens of service pages, blog posts, and product listings, it becomes a real maintenance problem. The schema needs to stay current, wrong business hours or outdated pricing generate Search Console warnings and quietly cost rich result eligibility.
A good Squarespace schema markup tool scans pages, generates valid JSON-LD, and deploys via script injection without requiring any coding. The critical feature is that it checks Squarespace's existing auto-generated schema before adding anything new. Custom markup that overlaps with the platform's output causes Google to discard both, and that's easy to miss. Understanding how to add schema in Squarespace correctly includes knowing that an overlap issue exists.
Frequently Asked Questions
Is JSON same as JSON-LD for SEO?
No. JSON is just a data format with no semantic meaning, search engines don't interpret it as structured data. JSON-LD adds @context and @type that link the content to Schema.org, which is what makes rich result eligibility possible.
Does Squarespace automatically add structured data?
It adds the basics, articles, products, events. But FAQPage, HowTo, detailed LocalBusiness, and AggregateRating markup all need to be added separately, either manually or through a schema tool.
Does JSON-LD help with appearing in Google AI Overviews?
Based on current evidence, yes. The 2025 Search Engine Land experiment found that the page with proper JSON-LD appeared in AI Overview citations while the no-schema page went unindexed entirely.
