Generate BlogPosting Schema for B2B Blogs
✓ Tested
Works with CSV, Excel, Google Sheets → JSON-LD Schema
By dataclean.to team · 2026-02-05
B2B blog content converts to BlogPosting schema for blog search visibility. Blog posts contain publication metadata that maps to BlogPosting properties. This specialized Article subtype provides blog-specific search features.
The Problem
B2B blogs publish posts without BlogPosting schema markup. Blog CMS platforms store metadata separately from content pages. Multi-author blogs need consistent schema across different writers. Bulk conversion applies BlogPosting schema to entire content libraries. Schema.org BlogPosting specification
How to Fix It
1
Export Blog Metadata
Extract blog post information from CMS including titles, authors, dates, categories, tags, and URLs.
2
Map BlogPosting Fields
Assign metadata to BlogPosting schema including headline, author, datePublished, dateModified, and keywords.
3
Configure Author Profiles
Create Person schema objects for each blog author with name, job title, and author bio URLs.
4
Add Category Information
Include blog categories and tags using articleSection and keywords properties.
5
Export Blog Schema
Generate BlogPosting JSON-LD for all blog posts with consistent publisher and author information.
Frequently Asked Questions
How is BlogPosting different from Article schema?
BlogPosting is a specialized type of Article schema specifically for blog posts. It inherits all Article properties while indicating the content is from a blog context.
Can I include comment counts in the schema?
BlogPosting schema supports commentCount and comment properties to indicate reader engagement through comments on blog posts.
How do I handle multi-author posts?
Use an array of Person objects in the author property to credit multiple authors on collaborative blog posts.
Example: Input → Output
| title | author | date | category | url |
|---|---|---|---|---|
| 10 Tips for Better Data | Jane Smith | 2026-03-01 | Technology | https://example.com/tips |
| 10 tips for better data | jane smith | March 1 2026 | technology | https://example.com/tips |
Red rows show common data quality issues. dataclean.to normalizes and generates JSON-LD automatically.
{
"@context": "https://schema.org",
"@type": "Article",
"headline": "10 Tips for Better Data",
"author": {"@type": "Person", "name": "Jane Smith"},
"datePublished": "2026-03-01",
"articleSection": "Technology"
}
💡 How it works: Article schema can enable rich results with author, date, and breadcrumb in Google Search.
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