How to Structure JSON-LD
JSON-LD describes a page to machines. Valid, honest structured data helps representation; invalid or fake markup can be ignored or counterproductive.
Looking for the complete reference? Read Structured Data — Complete JSON-LD Guide — the long-form authoritative guide on this topic.
The issue
Markup has JSON syntax errors, missing @context/@type, or fabricated review/rating/price data.
Why it matters
Broken JSON-LD is dropped; fake ratings/pricing violate guidelines and erode trust.
Common mistakes
- Invalid JSON (trailing commas, unescaped quotes).
- Missing @context or @type.
- Inventing aggregateRating/offers that don't exist.
- Multiple unrelated objects without @graph.
Practical recommendations
- Validate JSON first; one @context per document.
- Pick a specific, accurate @type (Article, TechArticle, Organization, BreadcrumbList, FAQPage).
- Use @graph for multiple related entities.
- Never fabricate ratings, reviews, or pricing.
Check your pages
Check syntax with the free JSON-LD Validator and the common errors guide.
FAQ
Is this guaranteed to improve rankings?
No. This is technical hygiene that helps machines parse and trust pages; no ranking outcome is guaranteed.
Do I need a backend?
No. The linked tools run entirely in your browser; nothing is uploaded.
How often should I check?
After every significant deploy, and periodically as content changes.
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