AgilePress

AgilePress Schema JSON-LD Block is a sophisticated block for adding Schema.org structured data to your WordPress posts and pages. It provides a clean, user-friendly interface for managing JSON-LD markup without cluttering your content editor.
Key Features:
<ul>
<li>Clean Editor Interface: Displays only a visual placeholder in the editor, keeping your workspace uncluttered</li>
<li>Sidebar Editing: All JSON-LD editing happens in the Block Sidebar via InspectorControls</li>
<li>Template Library: Pre-built templates for common schema types including LocalBusiness, Organization, and FAQ</li>
<li>Real-time Validation: Instant JSON validation feedback as you type</li>
<li>Dynamic Placeholders: Support for WordPress core placeholders and ACF custom fields</li>
<li>SEO Optimized: Outputs clean JSON-LD markup via wp_head for optimal search engine parsing</li>
</ul>
Supported Placeholders:
<ul>
<li><code>{{title}}</code> – Post/page title</li>
<li><code>{{excerpt}}</code> – Post excerpt</li>
<li><code>{{date}}</code> – Publication date</li>
<li><code>{{url}}</code> – Current post URL</li>
<li><code>{{featured_image_url}}</code> – Featured image URL</li>
<li><code>{{acf:field_name}}</code> – Any ACF field (supports strings and arrays)</li>
</ul>
Template Options:
<ol>
<li>Blank – Start from scratch</li>
<li>LocalBusiness – Perfect for local business listings</li>
<li>Organization – For company/organization information</li>
<li>FAQ – Structured FAQ markup</li>
</ol>
The block uses dynamic rendering to process placeholders on the frontend, ensuring your structured data always reflects current content.
<h3>Technical Details</h3>
The block uses a dynamic rendering approach with <code>render_callback</code> to process placeholders server-side. This ensures that:
<ul>
<li>Placeholders are replaced with current data on every page load</li>
<li>ACF fields are safely accessed and formatted</li>
<li>Invalid JSON never reaches the frontend</li>
<li>Search engines receive clean, valid JSON-LD markup</li>
</ul>
The frontend output is optimized with no extra paragraph or break tags, outputting only the pure JSON-LD script tag.

AgilePress Schema JSON-LD Block

A powerful WordPress block for managing Schema.org structured data markup with template support and dynamic placeholder replacement.

Fabio Biocchetti

SchemaSense automatically scans your WordPress posts and pages to identify question and answer pairs, then generates proper FAQ schema markup (FAQPage JSON-LD). This structured data helps AI systems and Large Language Models (LLMs) better understand and surface your content in AI-generated responses, while also improving search engine visibility (SEO) with rich snippets in search results.
The plugin also optionally formats existing FAQ blocks as minimalistic accordions (collapsible/expandable), providing an improved user experience for visitors browsing your Q&A content.
<h3>Key Features</h3>
<ul>
<li>GEO, AIO & SEO Ready – Structured data optimized for AI systems, LLMs and traditional SEO</li>
<li>Automatic Detection – Intelligently identifies Q&A patterns in your content</li>
<li>Universal Compatibility – Works with Classic Editor, Gutenberg, and all page builders (Elementor, Beaver Builder, Divi, WPBakery, etc.)</li>
<li>Multiple Formats – Supports headings, paragraphs (including bold), HTML5 details/summary accordions, and Q:/A: format</li>
<li>Multilingual Support – Works with 15+ languages (Latin-based question marks)</li>
<li>Smart Exclusions – Won’t interfere with Yoast or other FAQ plugins that add their own schema</li>
<li>Automatic for Posts – Posts auto-process on save; pages require manual scanning</li>
<li>Separate Batch Processing – Individual scan buttons for posts and pages</li>
<li>Optional Collapsible UI – Enhance Q&A with expand/collapse functionality</li>
<li>Performance Optimized – Schema cached in post meta, not regenerated on every load</li>
</ul>
<h3>How It Works</h3>
The plugin uses multiple detection strategies:
1. FAQ Section Detection (standard HTML – works with all editors/builders) 
* Looks for headings containing FAQ keywords (e.g., “FAQ”, “Frequently Asked Questions”, “Common Questions”) 
* Scans headings and paragraphs within that section for Q&A pairs 
* Works with Classic Editor, Gutenberg, and all page builders
2. HTML5 Details/Summary Detection (modern page builders) 
* Detects accordion widgets using <code><details></code> and <code><summary></code> elements 
* Commonly used by Elementor, Beaver Builder, and other modern page builders
3. Gutenberg Block Detection 
* Native support for WordPress blocks 
* Parses block structure directly for optimal accuracy
<h3>What schema types does the plugin support?</h3>
Currently, the plugin supports FAQ (FAQPage) schema only. It generates JSON-LD structured data with the <code>@type: "FAQPage"</code> format, which includes <code>Question</code> and <code>Answer</code> entities. Support for additional schema types (HowTo, Recipe, Product, etc.) may be added in future versions.
<h3>Does this work with Gutenberg?</h3>
Yes! The plugin supports both Classic Editor and Gutenberg (Block Editor). It can parse both Gutenberg blocks and HTML content.
<h3>How does the plugin detect questions and answers?</h3>
The plugin uses intelligent pattern detection with strict scoping to avoid false positives:
FAQ Section Detection: 
* Looks for headings containing FAQ keywords (e.g., “FAQ”, “FAQs”, “Frequently Asked Questions”, “Common Questions”) 
* Supports 15+ languages with multilingual FAQ heading recognition 
* Once an FAQ section is detected, the plugin scans content within that section only
Question Detection (within FAQ sections only): 
* Heading-based questions: Sub-headings at deeper levels than the FAQ heading (e.g., h3/h4 under an h2 FAQ heading) are treated as questions 
 – No punctuation required 
 – Minimum 5 characters 
* Paragraph-based questions: Paragraphs ending with “?” 
 – Must be between 5-250 characters 
 – Automatically handles bold (<code></code>), italic (<code></code>), or plain text formatting 
 – Example: <code>What is this?</code>
Answer Detection: 
* Any paragraph following a detected question is treated as the answer 
* Multiple consecutive paragraphs are combined into a single answer
Section Boundaries: 
* FAQ section ends when a heading at the same level or higher than the FAQ heading is encountered 
* This prevents false detection of questions in subsequent sections 
* Example: If FAQ section starts with <code><h2></code>, any other <code><h2></code> or <code><h1></code> ends the FAQ section
Additional Format: 
* Q:/A: Format: Explicit “Q:” and “A:” patterns are supported anywhere in content (not limited to FAQ sections)
<h3>Which languages are supported?</h3>
The plugin supports 15+ languages including English, Spanish, French, German, Italian, Portuguese, Dutch, Polish, Russian, Swedish, Danish, Norwegian, Finnish, Czech, and Turkish. All supported languages use the standard Latin question mark (?) for question detection.
<h3>Will it conflict with Yoast SEO or other FAQ plugins?</h3>
No. The plugin automatically detects and skips content managed by Yoast FAQ blocks, Elementor FAQ widgets, and other popular FAQ plugins to prevent duplicate schema markup.
<h3>Can I customize the styling?</h3>
Yes. Override the <code>.ssd-*</code> CSS classes in your theme to customize the collapsible FAQ appearance.
<h3>Which languages are supported for FAQ detection?</h3>
The plugin supports 15+ languages (all use standard Latin question mark <code>?</code> for paragraph-based questions):
<ul>
<li>English</li>
<li>Spanish (Español)</li>
<li>French (Français)</li>
<li>German (Deutsch)</li>
<li>Italian (Italiano)</li>
<li>Portuguese (Português)</li>
<li>Dutch (Nederlands)</li>
<li>Polish (Polski)</li>
<li>Russian (Русский)</li>
<li>Swedish (Svenska)</li>
<li>Danish (Dansk)</li>
<li>Norwegian (Norsk)</li>
<li>Finnish (Suomi)</li>
<li>Czech (Čeština)</li>
<li>Turkish (Türkçe)</li>
</ul>
Note: Languages using non-Latin question marks (Arabic, Greek, Hebrew, CJK languages) are not currently supported for paragraph-based question detection.

SchemaSense – Smart Structured Data

Auto-detects FAQ content and generates valid JSON-LD schema for LLMs, GEO (Generative Engine Optimization), and SEO.

AgilePress Schema JSON-LD Block vs SchemaSense – Smart Structured Data