Semantic SEO

3.9. Semantic Content Item Briefs

Tk 2,500

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🚀 Stop Chasing Keywords—Start Owning Topics! 🔥

Google’s algorithms have evolved, and so should your SEO strategy! Semantic SEO is the key to dominating search results by focusing on topics, intent, and context—not just keywords. Learn how to create content that ranks higher, drives organic traffic, and future-proofs your SEO. Are you ready to master Semantic SEO? 🚀

resently

Instructor

Pijush Saha

Pijush Saha is the Digital Marketing Consultant, Coach and Ex Google Employee. He has been working for 12 years in the digital marketing sector involving predominantly in Performance Marketing including SEO, Media Buying, & Web Analytics.

Syllabus

Introduction to Semantic SEO

14 Lessons

Semantic SEO

3.9. Semantic Content Item Briefs

Tk 2,500

Instructor

Pijush Saha

Syllabus

Introduction to Semantic SEO

1.1. Welcome To Semantic SEO

Semantic SEO Foundation Guideline

1.2. What is Semantic SEO

1.3. When Did Semantic SEO Start at Google?

1.4. What Should Be Learned in Semantic SEO?

1.5. Traditional SEO vs Semantic SEO

1.6. What is Semantic Search?

1.7. How Search Engine Works

1.8. How Does Google Ranks Article

1.9. Google helpful content guidelines

1.10. What is AEO?

1.11. How Cost-of-Retrieval Impact SEO?

1.12. How Crawl Budget Impacts SEO

1.13. How Structured Data Impacts SEO?

Entities in Semantic SEO

2.1. What is Entities & Types?

2.2. Attribute Types

2.3. Entity Attribute Value (EAV)

2.4. Find Entities Manually - Part 01

2.5. Find Entities from Google NLP Tool - Part 02

2.6. Find Entities from This FREE Tool - Part 03

2.7. How Google Detects Entities using NLP?

2.8. How Google Use Entities after Extraction?

2.9. Help Google Find Entities on Content Page

2.10. Query Semantics

2.11. Entity Recognition

2.12. Entity Based Content

2.13. What is Entity SEO?

Topical Map & Authority

3.1. Understanding of Topical Map

3.2. Understanding of Topical Authority

3.3. Topical Map Components

3.4. Examples of Topical Map Components

3.5. Topical Map Practical Example

3.6. Topical Coverage

3.7. Semantic Content Network

3.8. Macro Context, Micro Context, Main Content, Supplementary Content & Contextual Border

3.9. Semantic Content Item Briefs

Semantic SEO Core Features

4.1. Knowledge Domain

4.2. Contextual Domain

4.3. Contextual Layer

4.4. What is Semantic Triple?

4.5. What is Ontology & Taxonomy?

4.6. What Is Onomastics?

4.7. What is Content Configuration?

4.8. What are Quality Nodes?

4.9. What is Semantic Distance, Semantic Similarity & Semantic Relevance?

4.10. Relevance, Responsiveness, and Representative vs. Represented Queries

4.11. What is Attribute Prominence, Attribute Popularity & Attribute Relevance?

4.12. Publication Frequency (Momentum)

4.13. Contextual Coverage

4.14. Contextual Flow

4.15. Contextual Hierarchy

4.16. Contextual Border

4.17. Contextual Bridge

4.18. Vastness-Depth-Momentum

Lexical Semantics & Relations

5.1. Lexical Semantics

5.2. Lexical Relations: Synonym & Antonym?

5.3. Lexical Relations: What is Hyponym, Co-hyponym & Hypernym?

5.4. Lexical Relations: What is Meronym & Holonym?

5.5. Lexical Relations: What is Homonym, Homophone & Homograph?

5.6. Lexical Relations: What is Polysemy, Paronymy & Collocation?

5.7. Lexical Relations: What is Troponymy, Converse & Autonymy?

5.8. Lexical Relations: What is Capitonymy, Lexical Field, Pertainym, Metonymic & Metaphorical

5.9. Wrap Up Lexical Relations

Role of N-Grams

6.1. What is N-Gram & it's types

6.2. How N-Grams Strengthen Semantic SEO: Relevance, Intent, and Optimization Without Keyword Stuffing

6.3. How Do N-Gram Help in Article Writing for Semantic SEO?

6.4. Run a N-gram analysis using LLM

6.5. Run a N-gram analysis using Tools