Schema.org Generator – Structured data in 2 clicks
Create JSON-LD markup without coding knowledge
The Problem
Schema.org markup is essential for modern SEO and AEO, but manual implementation is complex, error-prone, and time-consuming. You need to understand JSON-LD syntax, know the right schema types, and manually maintain updates.
Existing plugins often only offer basic schemas (Article, Product) and force you to fill out complex forms. Advanced schemas like FAQPage, HowTo, Organization with nested entities are practically impossible without developer knowledge.
The result: 95% of all WordPress websites have incomplete or faulty schema markup, miss rich snippets, and are understood worse by AI search engines than optimized competitors.
The Solution
The Schema.org Generator helps teams keep important structured data consistent without hand-maintaining every JSON-LD structure.
- Common types: key schema types for editorial pages, products, and organizations
- Combinations: combine matching types on one page
- Mapping: reuse existing WordPress fields in a more structured way
- Preview: inspect markup before publishing
- Maintenance: keep structured data closer to the editorial workflow
The emphasis here is consistency and maintainability, not an unlimited template universe.
See it in action
Source
Direct screenshot from the local WordPress test installation with AEO Pro active.
Context
Where only PRO lock states are currently visible, the module is presented as an existing expansion area rather than as a freely usable interface.
Benefits
Less manual schema work
Common Schema.org structures can be maintained more consistently without rebuilding them by hand.
More maintainable structure
Recurring schema work becomes easier to maintain when common mappings and structures are already available.
Google validation integrated
Generated markup can be reviewed before publishing so structural mistakes are easier to catch.
Automatic updates
When content is updated, structured output stays closer to the underlying data and needs less separate follow-up work.
Multi-schema support
Several suitable types can be combined on a page in a more controlled way.
Template library
Recurring structures can be handled more consistently instead of being rebuilt every time.
Use Cases
Blog: Article schema for better AI citations
A tech blog adds Article schema with Author, Publisher, and datePublished to all 1,200 articles. ChatGPT and Claude can now correctly cite articles including author and date. Citations increase by 220% in 6 weeks.
E-Commerce: Product schema with offers & reviews
An online store maintains price, availability, review, and brand data more consistently across a large product catalog.
Local business: LocalBusiness with opening hours
A restaurant chain creates LocalBusiness schema for all 50 locations with address, opening hours, phone, and menu link. Google Assistant can now directly state opening hours. Reservations via voice increase by 45%.
SaaS: FAQ schema for support pages
A software provider adds FAQPage schema to all 80 FAQ pages. The most common questions now appear as rich snippets in Google and are directly answered by ChatGPT. Support tickets decrease by 30%.