Zhihe GrowthSchema.org defines types such as organizations, services, and articles; JSON-LD is a common way to express them. Markup offers clearer semantic cues, but pages still need accessible, clear content and compliance with platform quality rules. Copying one FAQPage block across the site cannot replace missing answers. Putting unpublished capabilities only in JSON-LD creates conflicts between visible content and machine-readable data.
Describe the appropriate entity on each page
| Page | Appropriate Tags | Fields that must be consistent with the visible body |
|---|---|---|
| About or brand entity page | Organization | Legal name, brand, official website, and address |
| service page | Service | Name, intended customers, and service limits |
| Technical guide | TechArticle or Article | Title, author, publication date, and modification date |
| Short FAQ Page | FAQPage (when applicable) | Questions and complete answers |
| Hierarchical navigation | BreadcrumbList | Clickable hierarchy and final URLs |
A page may describe multiple related objects, but do not force every service, case, and product into one article. Zhihe Growth's About page, GEO service page and knowledge-center guides have different primary subjects. Stage-specific values in the named case studies need their own public definitions; Organization markup must not turn them into universal company guarantees. Referenced @id values should be stable, with URLs consistent with canonicals and internal links.
Verification in three layers.
First validate JSON syntax and Schema types; then verify that visible content supports each fact; finally check current platform support for the relevant rich result. Google's Introduction to structured data describes markup as an explicit semantic signal, not a guarantee of enhanced display; its general policies require truthful, page-consistent content. According to Google's Search documentation changelog, FAQ rich results stopped appearing in Google Search on May 7, 2026. FAQPage can still describe visible Q&A semantically, but it is not a promise of rich results, AI citations, or rankings.
If visible text says a patent application was accepted while JSON-LD says a patent was granted, the markup is factually wrong even if it parses. Similarly, a new modification date based only on an automated footer change may not represent a substantive revision. Read approved values from the SSOT field table, update the page and accurate change dates in metadata and sitemaps, then sample for consistency.
How Zhihe Growth uses Schema in delivery
Identify page types and primary entities, select necessary markup, and map each field to visible content. Check source, browser output, and validation tools, then observe parsing and enhancement reports in platform dashboards. Semantically correct markup may remain even without a supported rich result, but delivery reports must not promise display. Stable identities, explainable facts, and verifiable evidence matter more than maximum property counts. For the full process, see entity disambiguation and explanatory-link design.
Three markup failures that may pass syntax checks
First, author or date fields can conflict with visible content: a new JSON-LD date may reflect only a template change. Second, an ordinary service introduction may be mislabeled Product, with invented prices, reviews, or inventory to seek an inapplicable rich result. Third, FAQPage may not match real Q&A: the page shows only question headings while markup supplies unrelated or invisible answers. Tools may not detect these factual conflicts, so editors must compare the markup with the body.
After each change, record URL, markup type, key fields, visible locations, validation time, and result. Sample mobile/desktop consistency. If valid markup produces no enhancement, review official eligibility and site-quality restrictions before changing it. Zhihe Growth prioritizes accuracy and maintainability, not Schema counts or promises of one-click AI indexing.