Command the SERPs with engineered structured data.
Dominate search results with rich snippets. We engineer complex JSON-LD schema architectures to help search engines understand your exact entity relationships.
What this page covers
Avelize engineers JSON-LD structured data for Shopify, ecommerce, service, FAQ, product, breadcrumb, organization, and article entities so search engines can interpret page purpose accurately.
When this matters
Schema matters when pages are eligible for richer search features, AI extraction, product understanding, local entity clarity, or cleaner page relationships across a complex site.
What Avelize improves
- JSON-LD implementation
- Product and FAQ schema
- Breadcrumb and organization schema
- Validation and monitoring
How Avelize works
- Diagnose: We review the current storefront, crawl paths, analytics, customer journey, and business constraints before recommending changes.
- Prioritize: We rank fixes by revenue impact, crawlability, conversion risk, implementation effort, and launch safety.
- Implement: We ship controlled improvements in code, content, UX, schema, internal links, or integrations depending on the page goal.
- Measure: We validate the outcome through Search Console, analytics, QA checks, and follow-up optimization.
Connecting the Knowledge Graph
We map out your entire digital ecosystem using Schema.org vocabulary. By nesting elements correctly—showing exactly how your Product relates to your Brand, which relates to your authoritative Author—we build a web of trust that Google rewards with premium visibility.
Which schema types still produce rich results
Google has narrowed rich result eligibility several times, and a great deal of published advice predates those changes. Implementing a deprecated type is wasted work that also makes a validation report look busy.
| Type | Status in Google Search |
|---|---|
| Product and merchant listings | Active and valuable. Price, availability and shipping detail can appear in results. |
| Breadcrumb | Active. Replaces the URL line in results. |
| Article | Active, supports Top Stories and Discover eligibility. |
| FAQPage | Restricted since August 2023 to authoritative government and health sites. Still useful for machine understanding; it will not produce a rich result for a commercial store. |
| HowTo | Deprecated. No longer shown. |
| Review and AggregateRating about your own business | Ineligible. Self-serving reviews on the entity’s own page are excluded. |
Why schema fails in practice
Most broken markup we find is syntactically valid. It fails for reasons a validator does not always surface:
- Dangling entity references. A node points at an
@idthat is not defined anywhere on the page. The reference resolves to nothing and the relationship is lost. - Markup describing content that is not visible. Structured data must represent what is on the page. FAQ markup whose questions appear nowhere in the rendered body is a policy violation, not a clever shortcut.
- Competing graphs from apps. Review apps, theme markup and an SEO app each emit their own Product node. Google sees several conflicting descriptions of one product.
- Prices and availability going stale because the markup is hardcoded rather than bound to live product data.
We build a single consolidated graph per page with explicit @id relationships between the organisation, the page, the primary entity and the breadcrumb trail, then verify that every reference resolves and every marked-up fact is present in the rendered HTML.