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Koray Tugberk GUBUR – Semantic SEO Course for Topical Authority

Original price was: ₹82,751.00.Current price is: ₹4,680.00.

-94%

What You Get:
 
87 Semantic SEO Lectures (9 Hours, 13 Minutes, 27 Seconds) from Zero to Hero
 

Develop Comprehensive Topical Maps for Enhanced Ranking Performance
Analyze and Evaluate Top-performing Topical Maps in Current Rankings
Gain Expertise in Key Components of Effective Topical Map Design
Boost Relevance and Responsiveness for Increased Visibility
Outperform Established Authorities through Advanced Semantic Search Engine Optimization Techniques.

 
This comprehensive course consists of 87 in-depth lectures, totaling 9 hours, 13 minutes, and 27 seconds of content, designed to take you from novice to expert in semantic search engine optimization. There is no refund implemented in Semantic SEO Course, because the mindset, and approach will change your life.
 
 
Acquire knowledge from the pioneer of Topical Maps and Topical Authority in SEO Directly
Develop Effective Semantic Content Networks for Dominating Your Niche
 

Master the Fundamentals and Practical Applications of Topical Authority
Gain Insight into the Importance of Topical Coverage and Historical Data
Create Semantically Optimized Content Briefs for Maximum Impact
Comprehend Algorithmic Enhancements for Improved Content Network Performance

 
Acquire knowledge directly from the pioneer of Topical Maps and the Topical Authority Approach for SEO, ensuring a solid foundation in cutting-edge techniques and industry best practices.
 
 
Utilize Algorithmic Authorship and Content Engineering Techniques for Topical Authority
 

Comprehend the Principles of Algorithmic Authorship Rules
Apply Microsemantics to Boost Relevance and Responsiveness in Content Creation
Optimize Content Networks Utilizing Macro and Micro Contexts
Leverage Search Engine Algorithms to Outperform Search Quality Teams
Gain In-depth Understanding of Search Engine Principles, Mirroring the Expertise of Their Engineers

 
Gain a competitive edge in SEO by mastering the principles of algorithmic authorship rules and applying macro and  microsemantics to increase content relevance and improve responsiveness.