Description
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.
Key Features
- GEO, AIO & SEO Ready – Structured data optimized for AI systems, LLMs and traditional SEO
- Automatic Detection – Intelligently identifies Q&A patterns in your content
- Universal Compatibility – Works with Classic Editor, Gutenberg, and all page builders (Elementor, Beaver Builder, Divi, WPBakery, etc.)
- Multiple Formats – Supports headings, paragraphs (including bold), HTML5 details/summary accordions, and Q:/A: format
- Multilingual Support – Works with 15+ languages (Latin-based question marks)
- Smart Exclusions – Won’t interfere with Yoast or other FAQ plugins that add their own schema
- Automatic for Posts – Posts auto-process on save; pages require manual scanning
- Separate Batch Processing – Individual scan buttons for posts and pages
- Optional Collapsible UI – Enhance Q&A with expand/collapse functionality
- Performance Optimized – Schema cached in post meta, not regenerated on every load
How It Works
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 <details> and <summary> 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
What schema types does the plugin support?
Currently, the plugin supports FAQ (FAQPage) schema only. It generates JSON-LD structured data with the @type: "FAQPage" format, which includes Question and Answer entities. Support for additional schema types (HowTo, Recipe, Product, etc.) may be added in future versions.
Does this work with Gutenberg?
Yes! The plugin supports both Classic Editor and Gutenberg (Block Editor). It can parse both Gutenberg blocks and HTML content.
How does the plugin detect questions and answers?
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 (<strong>), italic (<em>), or plain text formatting
– Example: <p><strong>What is this?</strong></p>
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 <h2>, any other <h2> or <h1> ends the FAQ section
Additional Format:
* Q:/A: Format: Explicit «Q:» and «A:» patterns are supported anywhere in content (not limited to FAQ sections)
Which languages are supported?
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.
Will it conflict with Yoast SEO or other FAQ plugins?
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.
Can I customize the styling?
Yes. Override the .ssd-* CSS classes in your theme to customize the collapsible FAQ appearance.
Which languages are supported for FAQ detection?
The plugin supports 15+ languages (all use standard Latin question mark ? for paragraph-based questions):
- English
- Spanish (Español)
- French (Français)
- German (Deutsch)
- Italian (Italiano)
- Portuguese (Português)
- Dutch (Nederlands)
- Polish (Polski)
- Russian (Русский)
- Swedish (Svenska)
- Danish (Dansk)
- Norwegian (Norsk)
- Finnish (Suomi)
- Czech (Čeština)
- Turkish (Türkçe)
Note: Languages using non-Latin question marks (Arabic, Greek, Hebrew, CJK languages) are not currently supported for paragraph-based question detection.
Screenshots
Installation
- Upload the plugin files to
/wp-content/plugins/smart-structured-data - Activate the plugin through the ‘Plugins’ screen in WordPress
- Navigate to Settings Smart Structured Data to configure
FAQ
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What does SchemaSense do?
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SchemaSense automatically scans and detects FAQ content in your existing posts and pages using intelligent pattern recognition. It optionally transforms detected FAQ blocks into minimalistic, user-friendly accordions with expand/collapse functionality for improved UX, and it generates and adds valid FAQPage JSON-LD structured data to your page templates, making your content more accessible to search engines and AI platforms.
All of this happens automatically based on your content structure—no manual markup required!
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Does this work with Gutenberg?
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Yes! The plugin supports both Classic Editor and Gutenberg.
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What’s the difference between posts and pages?
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Posts are automatically processed when you save them. Pages require manual scanning using the «Scan All Pages» button in Settings SchemaSense Smart Data.
⚠️ Important: When you update FAQ content on a page, you must manually re-scan pages to update the schema. This is by design to prevent performance issues with large sites.
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Will it conflict with Yoast SEO?
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No. The plugin detects and avoids conflicts with Yoast FAQ blocks and other plugins that add FAQ-specific schema.
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Can I customize the styling?
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Yes. Override the
.ssd-*CSS classes in your theme. -
What happens to my data if I uninstall the plugin?
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All plugin data is preserved if you simply deactivate the plugin. However, if you fully uninstall the plugin, all FAQ schema data and settings will be permanently removed from your database.
Reviews
There are no reviews for this plugin.
Contributors & Developers
“SchemaSense – Smart Structured Data” is open source software. The following people have contributed to this plugin.
ContributorsTranslate “SchemaSense – Smart Structured Data” into your language.
Interested in development?
Browse the code, check out the SVN repository, or subscribe to the development log by RSS.
Changelog
1.1.5
- Split batch processing into separate «Scan All Posts» and «Scan All Pages» buttons
- Posts now auto-process on save; pages require manual scanning for better performance
- Improved existing FAQ schema detection to only check for FAQ-specific schemas
1.1.4
- Added support for HTML5 details/summary elements (i.e. Elementor accordion widgets)
- Improved FAQ detection for modern page builders
1.1.3
- Fixed accordion rendering for paragraph-based questions
1.1.2
- Minor fixes
1.1.1
- Fixed paragraph-based question detection in FAQ sections with bold/strong formatting
1.1.0
- Added support for paragraph-based questions (bold, italic, or plain text)
- Enhanced FAQ detection logic
- Updated documentation
1.0.0
- Initial release




