Google Adds AI Content Labels to Structured Data: Practical Guide for Optimizing Foreign Trade Website Forums and Q&A Pages

Google recently updated the structured data documentation for Discussion Forum and Q&A Page, adding several important attributes, with the most notable being digitalSourceType—an attribute that can label whether content is generated by AI. For foreign trade websites operating community forums, product Q&A, or user review systems, this is a technical SEO update that requires serious attention.

Core Change Analysis

New Attribute One: digitalSourceType (AI Content Source Labeling)

This is the most important new attribute in this update. It uses IPTC digital source enumeration values to indicate how content was created, with Google supporting two values:

• TrainedAlgorithmicMediaDigitalSource: Content generated by trained AI models (e.g., large language models/LLMs)
• AlgorithmicMediaDigitalSource: Content generated by simpler algorithmic processes (e.g., automated reply bots)

This attribute is listed as "recommended" rather than "required," applicable to DiscussionForumPosting and Comment types in Discussion Forum, and Question, Answer, and Comment types in Q&A Page.

Code Example

{
  "@type": "Comment",
  "text": "Based on specifications, Model X has 20% higher efficiency...",
  "author": {
    "@type": "Person",
    "name": "AI Assistant"
  },
  "digitalSourceType": "https://cv.iptc.org/newscodes/digitalsourcetype/trainedAlgorithmicMedia"
}

Key Detail: If this attribute is omitted, Google defaults to assuming the content is human-created.

New Attribute Two: commentCount (Comment Count)

This seemingly simple attribute actually addresses an important data integrity issue. When your forum or Q&A page has comment pagination or truncation, commentCount can inform Google of the actual total number of comments, even if not all comments are included in the structured data.

For Q&A Page, Google also provides a calculation formula: answerCount + commentCount = total replies.

New Attribute Three: Expanded sharedContent Support

The Discussion Forum documentation expands the sharedContent attribute, now explicitly supporting four subtypes:

• WebPage: Shared links
• ImageObject: Posts primarily consisting of images
• VideoObject: Posts primarily consisting of videos
• DiscussionForumPosting / Comment: Quoted or forwarded other posts

Among these, DiscussionForumPosting and Comment as accepted types for sharedContent are new, and Google provides code examples on how to label quoted comments.

Impact on Foreign Trade Websites

If Your Website Has Product Forums or Communities

Many foreign trade B2B websites have product discussion areas, technical support forums, or buyer communities. This update directly affects the structured data implementation for such pages:

AI Customer Service Replies Need Labeling: If your forum has AI automated replies (increasingly used by foreign trade businesses), you should now use digitalSourceType to label these replies. Although currently a recommended attribute, implementing it early can avoid passivity if Google upgrades it to a required attribute in the future.

Comment Pagination Issue: Foreign trade website product pages often have numerous user reviews, but the front-end typically displays only some. The commentCount attribute allows you to inform Google of the full review count, positively impacting social proof signals in search displays.

If Your Website Has FAQ or Q&A Modules

Q&A Quality Signals: The answerCount + commentCount formula provides Google with more complete page activity signals. Active Q&A pages are more likely to receive rich results in search displays.

Transparency for AI-Generated Answers: If your FAQ page uses AI to generate answers (e.g., automated Q&A based on product documentation), using digitalSourceType labeling can build transparency credibility.

Complete Practical Optimization Steps

Step One: Audit Existing Structured Data

Use Google's Rich Results Test tool to check the current structured data implementation status of your forum and Q&A pages.

https://search.google.com/test/rich-results

Step Two: Add digitalSourceType Attribute

Add the corresponding digitalSourceType value to all AI-generated or bot-automated reply content:

• AI/LLM-generated content → TrainedAlgorithmicMediaDigitalSource
• Automated reply bots → AlgorithmicMediaDigitalSource
• Human-created content → No need to add (defaults to human content)

Step Three: Implement commentCount

Add the commentCount attribute to DiscussionForumPosting and Answer nodes, ensuring the value reflects the actual total number of comments:

{
  "@type": "DiscussionForumPosting",
  "headline": "Product comparison: Model A vs Model B",
  "commentCount": 47,
  "comment": [
    // Only include structured data for the first 10 comments
  ]
}

Step Four: Upgrade sharedContent Labeling

If your forum supports sharing links, images, or quoting other posts, use more specific subtypes instead of the generic CreativeWork:

{
  "sharedContent": {
    "@type": "WebPage",
    "url": "https://example.com/product-spec",
    "name": "Product Specification Sheet"
  }
}

Step Five: Verify and Monitor

1. Use the Rich Results Test again to verify the updated structured data
2. Monitor changes in rich result displays for forum and Q&A pages in Google Search Console
3. Regularly check for updates to Google's structured data documentation

Why Did Google Make This Change?

From a broader perspective, this update reflects several industry trends:

Response to AI Content Proliferation: As more websites use AI to generate content, Google needs a mechanism to distinguish between human and machine content. digitalSourceType is the structured data implementation of this mechanism.

Refinement of Search Quality Signals: commentCount and expanded sharedContent allow Google to more accurately assess a page's true interaction level and content richness.

Alignment with IPTC Standards: Google's choice to use IPTC digital source enumeration values (previously used for image metadata) indicates it is building a unified source labeling system across content types.

01CodeTech Professional Perspective

This update may seem like just a few new attributes, but the underlying signal is very clear: Google is systematically establishing an AI content identification and labeling system. For foreign trade websites, implementing these labels early is not only a best practice in technical SEO but also demonstrates to Google your emphasis on content transparency—a positive signal in E-E-A-T assessments.

We particularly recommend that foreign trade businesses using AI customer service or automated Q&A functions implement digitalSourceType labeling as soon as possible. Proactively labeling during Google's explicit "optional" window is better than reacting passively when it becomes "required."

---

Need help implementing structured data optimization? Follow 01CodeTech for professional foreign trade website technical support and SEO optimization solutions.