Topical Authority SEO Case Study explains 88x growth in 6 months with Helpful Content System Update of Google, by leveraging semantic SEO. The Topical Authority methodology relies on semantic SEO, and advanced natural language processing methodologies by using algorithmic authorship rules. Algorithmic authorship rules are designed to communicate to search engines and users better while decreasing the cost of retrieval, and increasing the information quality. Information quality for YMYL Niches and high E-E-A-T required industries is defined based on the uniqueness, completeness, comprehensiveness, and accuracy of the knowledge. The English Language SEO Case Study focuses on telehealth, and marketing as a Shopify web store. Thus, the SEO Case Study involves semantics, topical authority, e-commerce SEO contexts.
Topical Authority SEO: This refers to the credibility and expertise of a website or content in a specific topic or niche. Websites with high topical authority are often considered trusted sources of information on their specific topics.
Helpful Content System Update of Google: While not a widely recognized term, this likely refers to a Google algorithm update that prioritizes helpful and relevant content in its search results.
Semantic SEO: This is the practice of building more meaning into the words you use in your content. It involves optimizing content based on intent and meaning rather than just specific keywords.
Topical Authority Methodology: A strategy that focuses on building authority in a specific niche or topic by producing high-quality, relevant content.
Advanced Natural Language Processing (NLP): NLP is a field of artificial intelligence that focuses on the interaction between computers and humans through natural language. In the context of SEO, advanced NLP methodologies would involve understanding and processing human language to improve search results.
Algorithmic Authorship Rules: These are likely rules or guidelines designed to help content creators structure and present their content in a way that's both user-friendly and search engine-friendly.
Long Form Question Answeing: The term typically refers to a process or system in which complex or detailed questions are answered in a comprehensive and detailed manner.
Cost of Retrieval: Refers to the resources (time, effort, money) required to retrieve specific information or data as a web search engine.
Information Quality: The value of information based on its accuracy, completeness, reliability, and relevance.
YMYL Niches: "Your Money or Your Life" niches refer to topics that can have a direct impact on a person's health, happiness, safety, or financial stability. Google holds these niches to higher standards because of their potential impact on users.
E-E-A-T: Stands for "Expertise, Authoritativeness, Trustworthiness." It's a set of criteria that Google uses to evaluate the quality of web pages.
Telehealth: The use of digital information and communication technologies, like computers and mobile devices, to access health care services remotely.
E-commerce SEO: The practice of optimizing online stores and product pages to rank higher in search engine results pages (SERPs), driving more traffic and sales.
Semantics: In the context of SEO, semantics refers to the study of meanings in language, especially the relationship between signs and what they represent.
Topical Authority: The degree to which a website or piece of content is considered an authority on a particular topic.
00:45 Introduction to Topical Authority SEO Case Study
2:30 Analysis of Semantic SEO for Helpful Content System
03:45 Organic Growth Comparison with GSC
04:07 100x SEO Performance Increase in YoY
04:23 Long-form Question Answering
10:02 Importance of Uniqueness for Helpful Content
14:41 Citations for E-E-A-T
16:14 Research for Long-form Questions
19:20 TensorFlow and Natural Language Processing
21:24 Satori and Microsoft Bing for Semantics
22:01 Entity Relations for SEO
23:28 Outro for Topical Authority Case Study
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