Content Transparency Statement
We are committed to building a trustworthy content ecosystem. This page explains Yunbian Tech website content creation process,
review standards and quality inspection mechanisms, ensuring every article can withstand verification.
AI-Assisted Creation Statement
Some content on this website is created through human-AI collaboration
Our Principles
- • Do not pretend pure human creation, honestly label AI participation level
- • All AI-generated content must undergo human review
- • Key data and facts must provide verifiable sources
- • Author attribution clear, accountability assigned
Quality Commitment
- • Factual errors corrected within 24 hours of discovery
- • Regularly update outdated content, label update time
- • Accept reader feedback, continuously improve content quality
- • Do not publish unverifiable claims or data
Human-AI Collaborative Creation Process
Four-step quality control from first draft to publication
AI-Assisted Drafting
Use AI tools for content framework generation, material organization and first draft writing to improve content production efficiency.
Human Fact-Checking
Domain experts fact-check AI-generated content, verify data sources, ensure information accuracy.
Human Editorial Review
Professional editors polish content, organize logic and optimize expression to ensure content quality.
Add Source Links
Add clickable original source links for all data, viewpoints and citations for reader verification.
Three-Layer Quality Inspection
Standard inspection process before publication
Can AI access this content?
PassedEnsure pages are normally accessible to AI crawlers, content is readable in HTML, robots.txt does not block.
robots.txt Configuration Check
PassedCheck if /robots.txt allows AI crawler access
Page Crawlability
PassedImportant body text exists in initial HTML, not only JS-loaded
HTTP Status Code
PassedPages return 200 normal status code
sitemap.xml Configuration
Passedsitemap contains all indexable URLs
Can AI understand this content?
PassedUse clear heading hierarchy, structured data and consistent entity descriptions to help AI understand content.
Organization Schema
PassedHomepage contains Organization structured data
Article Schema
PassedArticle pages contain Article structured data
Clear Heading Hierarchy
PassedH1-H6 hierarchy correct, unique H1 per page
Entity Consistency
PassedCompany name, brand name consistent across site
Multi-language hreflang
PassedChinese and English pages correctly set hreflang
Can AI trust this content?
PassedProvide verifiable source links, accurate author information and transparent editorial process to build credibility.
Author Attribution
PassedArticle pages display author name, position
Publication Time Labeling
PassedDisplay publication time and update time
Clickable Source Links
PassedAll data/viewpoints provide verifiable sources
Content Transparency Statement
PassedIndependent page explaining creation process
Content Verifiability
How to verify the credibility of our content
Sources Clickable
Each article bottom provides complete reference list, all external links directly accessible.
Authors Traceable
Each article labels author name, position and bio, ensuring content accountability.
Update Time Transparent
Each article labels publication time and last update time, helping readers judge information timeliness.
Editorial Process Public
This page details content creation process, letting readers understand how content is produced.
Third-party Citations & Media Coverage
Independent reports and citations of Yunbian Tech GEO services on external platforms
Zhihu Column: GEO Optimization Practical Guide
Detailed introduction to GEO optimization core methodology and execution steps, including real case analysis
Sohu News: New Opportunities for Enterprise Global Expansion in AI Search Era
Report on how generative engine optimization helps Chinese brands gain overseas visibility
Sina News: Yunbian Tech Helps Over 100 Brands Go Global
Report on Yunbian Tech milestone of cumulatively serving 100+ global brands
Cnblogs: Deep Analysis of GEO Technology
Technical analysis of generative engine optimization implementation principles and best practices
Found content issues?
If you find any factual errors, outdated information or unverifiable claims, please contact us through the following channels. We commit to responding within 24 hours and correcting promptly after confirmation.