JSON-LD schema translates your content into a language search engines and AI models trust implicitly. We implement it correctly, validate it against every relevant spec, and monitor it continuously.
Google's Rich Results Test rejects schema with missing required properties, incorrect nesting, or mismatched page content. Invalid markup earns zero SERP enhancements and may trigger manual review. We audit every type, fix every error, and ensure schema stays in sync as your site changes.
All structured data is written in JSON-LD as Google recommends, injected cleanly into the document head, and scoped precisely to match visible on-page content.
We implement every eligible type — Article, Product, Review, FAQ, HowTo, Event, BreadcrumbList, Sitelinks Searchbox, and VideoObject — based on your content inventory.
Every schema entity is validated in Google's Rich Results Test and Schema.org validator before deployment. Required and recommended properties are completed in full.
We structure entities, relationships, and sameAs references to make your content machine-readable for ChatGPT, Perplexity, and Google's AI Overviews.
We track rich result status in Search Console's Enhancements reports and set up alerts for any validation errors introduced by CMS or template changes.
For e-commerce and publishing sites, we build template-level schema logic that generates valid, content-matched markup for thousands of URLs automatically.
We crawl every page type, map content to eligible schema types, and cross-reference Search Console for existing rich result errors. Every invalid or missing entity is documented with its revenue impact.
JSON-LD is written, reviewed against Google's developer documentation, validated in the Rich Results Test, and deployed through your CMS or template layer. No markup goes live with a validation error.
Schema breaks when templates change. We run weekly validation crawls and Search Console checks, patching any regressions before they cost you rich results in the SERP.
A fast-growing marketplace was leaking authority through duplicate URLs and slow templates. We re-architected crawling, halved load times, and rebuilt their internal linking.
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