Koray Tuğberk GÜBÜR

In this comprehensive feminist SEO case study, we examine the case of Emek Külür, a dentist who was inaccurately associated with the "ex-wife" attribute in Google's knowledge base. Using GUBUR's innovative semantic SEO methods, we'll demonstrate how we successfully altered this perception by publishing a series of authoritative content, including podcasts, interviews, photographs, news articles, and official website content related to Emek Külür's family, business, and professional… Daha fazla göster

In this comprehensive feminist SEO case study, we examine the case of Emek Külür, a dentist who was inaccurately associated with the "ex-wife" attribute in Google's knowledge base. Using GUBUR's innovative semantic SEO methods, we'll demonstrate how we successfully altered this perception by publishing a series of authoritative content, including podcasts, interviews, photographs, news articles, and official website content related to Emek Külür's family, business, and professional life.

Throughout the video, we'll explore the following key aspects:

The science behind entity identity management and creation
The role of trustworthiness and source credibility in influencing Google's Knowledge Graph, Knowledge Base, and Knowledge Panel
The impact of various types of content on changing entity attributes and associations, fighting against misinformation and spam news
Step-by-step guide on implementing GUBUR's semantic SEO techniques for optimal results
The importance of maintaining a positive and accurate online reputation for individuals and businesses, with a focus on feminist SEO principles
Case analysis on how low PageRank sources with proper semantics can influence Google's perception, even when faced with high PageRank sources stating the opposite
By the end of this extensive tutorial, you'll have gained invaluable insights into the world of entity identity management, semantic SEO, and feminist SEO principles, empowering you to take control of your online presence and ensure Google's search engine result pages display accurate, authoritative, and reputable information about you or your business. Daha az göster

Entity Identity resolution is the process of recognizing an entity with its type, attributes, and values. Entity-Idendity Resolution is distinct from named entity recognition, but it is a necessary step in the process. Entities are living things inside the Knowledge Bases with different attribute-value pairs, which means that their identity changes with other types of associations. The optimization and control of identity shifts and changes in knowledge bases based on document statistics is… Daha fazla göster

Entity Identity resolution is the process of recognizing an entity with its type, attributes, and values. Entity-Idendity Resolution is distinct from named entity recognition, but it is a necessary step in the process. Entities are living things inside the Knowledge Bases with different attribute-value pairs, which means that their identity changes with other types of associations. The optimization and control of identity shifts and changes in knowledge bases based on document statistics is known as entity identity management. Document statistics represent the entity values and their definitions with certain types of linguistic statistics, such as statements, declarations, or dense, that are retrieved from content items. Daha az göster

Koray Tuğberk GÜBÜR is the founder and owner of Holistic SEO & Digital. Koray regularly attends webinars, conferences, and SEO-related events. Koray Tuğberk publishes SEO Case Studies, researches, and detailed A/B tests along with their results.

He focuses on data science, machine learning, web development, entity-based contextual search, semantic content network creation, and Reputation Management. Koray worked with more than 300 companies for their SEO Projects since 2015. To get more… Daha fazla göster

Koray Tuğberk GÜBÜR is the founder and owner of Holistic SEO & Digital. Koray regularly attends webinars, conferences, and SEO-related events. Koray Tuğberk publishes SEO Case Studies, researches, and detailed A/B tests along with their results.

He focuses on data science, machine learning, web development, entity-based contextual search, semantic content network creation, and Reputation Management. Koray worked with more than 300 companies for their SEO Projects since 2015. To get more SEO insights from Koray, follow him on Twitter or LinkedIn. Daha az göster

The exact match domain refers to a domain name that involves phrases with the search demand from the web search engines. An exact match domain can have multiple keywords with search volume in the domain name. Exact match domains involve brandinizing the query for ranking purposes. An exact match domain can rank higher than other branded term domains. Thus, SEOs prefer Exact Match Domains (EMDs) for ranking purposes. Search engines, like Google and Microsoft Bing, made several explanations… Daha fazla göster

The exact match domain refers to a domain name that involves phrases with the search demand from the web search engines. An exact match domain can have multiple keywords with search volume in the domain name. Exact match domains involve brandinizing the query for ranking purposes. An exact match domain can rank higher than other branded term domains. Thus, SEOs prefer Exact Match Domains (EMDs) for ranking purposes. Search engines, like Google and Microsoft Bing, made several explanations related to the exact match domains’ functionality and usage purposes. Daha az göster

When it comes to choosing an EMD for your business or website, there are several factors you should consider including keyword relevancy and competition level among other things. You want to make sure you choose keywords that accurately reflect what your business offers so people searching those terms will find exactly what they need when visiting your site; this is especially important if you plan on using pay per click advertising as well because having relevant keywords within your ad copy… Daha fazla göster

When it comes to choosing an EMD for your business or website, there are several factors you should consider including keyword relevancy and competition level among other things. You want to make sure you choose keywords that accurately reflect what your business offers so people searching those terms will find exactly what they need when visiting your site; this is especially important if you plan on using pay per click advertising as well because having relevant keywords within your ad copy can lead to better conversions rates from potential customers who clicked through from those ads specifically looking for something related to those words used in the ad itself. Additionally, considering how much competition exists around certain keywords is essential too since it could mean investing time and money into optimizing a particular keyword phrase only leads nowhere due solely high levels of existing competition already ranking at top positions making it difficult or impossible even after lots of optimization efforts done over long periods of time trying to get rank above them all which makes no sense whatsoever. Daha az göster

E-A-V is a different triple model from Subject-Predicate-Object. In other words, EAV Model brings a new understanding to the entity-related SEO practices. It states that attributes are key for ontology construction and values of attributes are important to get the accuracy and quality of a document, while satisfying the Information Retrieval (IR) Systems. The relevance of a document is seen with term retrieval, probabilistic term distribution, co-occurrence metrics, and sequence modeling in… Daha fazla göster

E-A-V is a different triple model from Subject-Predicate-Object. In other words, EAV Model brings a new understanding to the entity-related SEO practices. It states that attributes are key for ontology construction and values of attributes are important to get the accuracy and quality of a document, while satisfying the Information Retrieval (IR) Systems. The relevance of a document is seen with term retrieval, probabilistic term distribution, co-occurrence metrics, and sequence modeling in Natural Language Modeling that involves Query-Term Retrieval. The E-A-V brings a new challenge for SEO for including the correct attribute with accurate information and value in the document which helps for relevance further.

In other words, the terms do not appear in the queries, and search terms might increase the value of a document thanks to contextually related attributes, their definition, and connected other ontology components. For example, a document that is about Abraham Lincoln might have many attributes such as "human", "person", "politician", "biography", "political ideas", "votes for acts", "speeches", "quotes", "spouse", "children", but only some of these are to define the entity in the best way. A document that mentions the "assassination" might be outranked easily a document that focuses on "political career" based on the query-processing model of the search engine. If the query "Abraham Lincoln" is interpreted with "Who", it is inefficient for relevance to define the entity with "assassination". The "attribute set" and "values" for Entities are stored, changed, updated, connected. Daha az göster

The entity, Attribute, Value (EAV) Architecture for SEO involves different types of entities, their attributes, and values within the data model to encode a space-efficient knowledge base. Knowledge representation includes different types of methodologies such as semantic networks, frames, and production rules. The entity, Attribute, Value (EAV) model is to provide a better knowledge representation for different topics and applications. EAV is called an object-attribute-value model, a vertical… Daha fazla göster

The entity, Attribute, Value (EAV) Architecture for SEO involves different types of entities, their attributes, and values within the data model to encode a space-efficient knowledge base. Knowledge representation includes different types of methodologies such as semantic networks, frames, and production rules. The entity, Attribute, Value (EAV) model is to provide a better knowledge representation for different topics and applications. EAV is called an object-attribute-value model, a vertical database, and lastly, an “open schema”.

Choosing the right attributes with accurate values from text involves different types of attribute prioritization to provide better contextual relevance, and to specify for the search engine. Deciding the right attributes, or prominent-popular-relevant attributes, for question generation and answer pairing helps a search engine process the text and meaning that can come from content.

In this SEO Case Study, attribute types, and their prominence for providing a better semantic content network, along with context flow, are explained via a real-world SEO success that comes from a training and “document template” creation based on the “query-intent” templates. Daha az göster

Frame semantics is a powerful theory of meaning that has been gaining traction in the field of linguistics and natural language processing. It proposes that words are understood not only by their dictionary definitions, but also in terms of their relationships to other words within a frame. A frame consists of structured networks or concepts and relationships which provide context for understanding the meaning behind any given word or phrase. For example, when considering the word “eat” one… Daha fazla göster

Frame semantics is a powerful theory of meaning that has been gaining traction in the field of linguistics and natural language processing. It proposes that words are understood not only by their dictionary definitions, but also in terms of their relationships to other words within a frame. A frame consists of structured networks or concepts and relationships which provide context for understanding the meaning behind any given word or phrase. For example, when considering the word “eat” one might consider related concepts such as food, hunger, restaurant and cutlery; all these elements form part of its overall semantic meaning within this particular frame. Daha az göster

Topical Authority is a positive ranking state. The concept of Topical Authority is founded, and integrated into the semantic SEO discipline with the “Importance of Topical Authority Case Study”. The same case study explained concepts within the scope of Semantic SEO, such as Topical Borders, Topical Coverage, Topical Maps, and Historical Data.

All these concepts proved that Topical Authority is a reality, and many concepts such as RankMerge and Knowledge-based Trust, and Contextual… Daha fazla göster

Topical Authority is a positive ranking state. The concept of Topical Authority is founded, and integrated into the semantic SEO discipline with the “Importance of Topical Authority Case Study”. The same case study explained concepts within the scope of Semantic SEO, such as Topical Borders, Topical Coverage, Topical Maps, and Historical Data.

All these concepts proved that Topical Authority is a reality, and many concepts such as RankMerge and Knowledge-based Trust, and Contextual Search Engines are integrated into the ranking systems of Popular Search Engines.

To further deepen and explain the Topical Authority concept, Semantic Content Networks, Quality Thresholds, Topical Borders, Topical Gaps, Topical Prioritization, Contextual Vectors, Contextual Coverage, Contextual Layers, and Hierarchy, Cross-lingual Information Retrieval, Contextual Domains, Semantic SEO Introduction, Broad Index Refresh, Topical Consolidation, Initial Ranking, Re-ranking Used, Ranking Signal Consolidation in SEO Case Studies explain the concepts of Selection Satisfaction, Search Engine Trust, Author Authority and Rank, Context Sharpening, and Signalling. To deepen the Semantic SEO with Multilingual SEO and Multiregional SEO, guides are written because Semantic SEO is language-agnostic, but it works differently for Cross-lingual Information Retrieval.

The latest research to explain the concept of Topical Authority, Lexical Relations, and Lexicosemantics for SEO, is the most controlled and rich case study published in SEO history, with 26 sample full-scale SEO studies, and open search console data. Later, I published articles for specific industries by using semantics and Holistic SEO approach such as B2B SEO Guide.

To extend the concept of Topical Authority and make it fully usable by SEOs, the concepts that will be unveiled today are “Source Context, Brand Identity, and Contextual Bridges”. Daha az göster

What is Topical Authority?

A individual or organization's competence or understanding on a certain topic or issue is referred to as topical authority. It gauges a person's or an organization's level of trustworthiness and credibility within a specific sector or industry. Topical authority in the context of search engines can play a significant role in affecting how highly a website appears in search results for a specific topic. For instance, a website that is regarded as the foremost… Daha fazla göster

What is Topical Authority?

A individual or organization's competence or understanding on a certain topic or issue is referred to as topical authority. It gauges a person's or an organization's level of trustworthiness and credibility within a specific sector or industry. Topical authority in the context of search engines can play a significant role in affecting how highly a website appears in search results for a specific topic. For instance, a website that is regarded as the foremost authority on a given subject may appear higher in search results for that subject than a website that is less knowledgeable about the subject.

Why is topical authority important?

Topical authority is significant since it contributes to the development of credibility and dependability. People are more likely to trust and rely on sources that are regarded as authoritative on a given topic when they are looking for information about it. Therefore, having topical authority can aid in boosting website traffic, positioning a business as a thought leader in its sector, and luring potential clients or customers.

Topical authority is crucial in the context of search engines since it can raise a website's placement in search results for a specific topic. This is so because algorithms are used by search engines to evaluate the quality and relevancy of a website's content in light of a particular search query. Due to its reputation as a dependable and trustworthy source of information on the subject, a website that is regarded as the leading authority on a given subject is more likely to appear higher in search results for that subject.

In general, topical authority is crucial because it contributes to the development of credibility, reliability, and knowledge, all of which can be advantageous for both people and organizations. Daha az göster

What is Semantic SEO? How to start Topical Research?
Semantic SEO is the practice of writing content in search engines optimized around topics, not just individual keywords.
The webinar was all about deep understanding of What is Semantic SEO and how Semantic SEO can change the digital market.
Here we have our guest who will help you understand more about semantic SEO and the benefits of optimizing the webpages accordingly.

SaaS SEO involves improvement and development of Service or Software Companies' organic search performance and rankings by providing web search engine strategies related to semantic, technical, local and brand building. Understanding the SaaS SEO projects and their needs for increasing the search engine rankings require understanding the knowledge domain of the SaaS SEO Projects. The Topical Authority, and the help of the Semantic SEO provide further optimization for the SaaS SEO.

The… Daha fazla göster

SaaS SEO involves improvement and development of Service or Software Companies' organic search performance and rankings by providing web search engine strategies related to semantic, technical, local and brand building. Understanding the SaaS SEO projects and their needs for increasing the search engine rankings require understanding the knowledge domain of the SaaS SEO Projects. The Topical Authority, and the help of the Semantic SEO provide further optimization for the SaaS SEO.

The SaaS SEO Case Study video involves two different websites with over 4000% organic click increase, and the naked data for all these ranking improvements are provided.

Both of the SaaS SEO Case Studies focus on English Language, and International Markets which means that the specific case study projects are multilingual and multiregional. Daha az göster

Business to Business (B2B) Search Engine Optimization (SEO) is organic search visibility increasing strategy to increase the revenue, conversions, brand value, and organic traffic on search engines such as Google, Yandex, Microsoft Bing, DuckDuckGo, and Yep. B2B SEO involves business analysis, and content marketing for key decision-makers such as CEOs, CMOs, and CFOs. Business to Business Search Engine Optimization helps small and big businesses to achieve their sales targets. B2B SEO focuses… Daha fazla göster

Business to Business (B2B) Search Engine Optimization (SEO) is organic search visibility increasing strategy to increase the revenue, conversions, brand value, and organic traffic on search engines such as Google, Yandex, Microsoft Bing, DuckDuckGo, and Yep. B2B SEO involves business analysis, and content marketing for key decision-makers such as CEOs, CMOs, and CFOs. Business to Business Search Engine Optimization helps small and big businesses to achieve their sales targets. B2B SEO focuses on industrial businesses as buyers and sellers to create revenue. B2B SEO is different from Business Consumer (B2C) SEO.

What is B2B SEO? B2B SEO is the optimization of Business Websites for better search rankings on Google, and Bing-like search engines. B2B SEO provides better business economics by increasing sales for industrial channels. B2B SEO has its own challenges such as low search demand for keywords, the requirement of expert authors, intense corporate communication, small and lesser-known markets, and the requirement of multilingual content for different countries. To exceed the B2B SEO challenges with B2B SEO Strategies, using various search engine optimization verticals such as Local, Technical, Semantics, and PageSpeed optimizations are required. Daha az göster

B2B SEO differs from consumer-focused SEO in several ways. For example, B2B companies often have longer sales cycles and target a smaller, more specialized audience. As a result, B2B SEO strategies often involve targeting more technical, long-tail keywords and working to build trust and authority in a specific industry or niche.

Common tactics used in B2B SEO include conducting keyword research, optimizing website content and structure, building high-quality backlinks, and creating… Daha fazla göster

B2B SEO differs from consumer-focused SEO in several ways. For example, B2B companies often have longer sales cycles and target a smaller, more specialized audience. As a result, B2B SEO strategies often involve targeting more technical, long-tail keywords and working to build trust and authority in a specific industry or niche.

Common tactics used in B2B SEO include conducting keyword research, optimizing website content and structure, building high-quality backlinks, and creating valuable and informative content such as blog posts, white papers, and case studies.

- The B2B marketing conversion funnel is a model that represents the journey a potential customer takes from initial awareness of a product or service to making a purchase. The stages of the B2B marketing conversion funnel typically include:
- Awareness: This is the first stage of the funnel, where potential customers become aware of a company's products or services. This can be through various channels such as search engines, social media, or paid advertising.
- Interest: At this stage, potential customers show interest in a company's products or services and may visit the company's website or request more information.
- Evaluation: In this stage, potential customers evaluate whether a company's products or services are a good fit for their needs. This may involve comparing the company's offerings to those of its competitors.
- Decision: At this stage, potential customers make a decision to purchase a company's products or services.
- Purchase: This is the final stage of the funnel, where potential customers complete the purchase process and become paying customers. Daha az göster

Lexical Semantics (lexicosemantics) is the relationship of words to each other. Lexical Semantics include different types of word relations such as meronyms, holonyms, antonyms, synonyms, hypernyms, and hyponyms. Semantic Similarity means the closeness and relevance between two words. Semantic relations between words (lexical semantics) and distance between words’ meanings (semantic closeness) are used by semantic search engines with Natural Language Processing and Natural Language… Daha fazla göster

Lexical Semantics (lexicosemantics) is the relationship of words to each other. Lexical Semantics include different types of word relations such as meronyms, holonyms, antonyms, synonyms, hypernyms, and hyponyms. Semantic Similarity means the closeness and relevance between two words. Semantic relations between words (lexical semantics) and distance between words’ meanings (semantic closeness) are used by semantic search engines with Natural Language Processing and Natural Language Understanding.

Lexical Semantics and Semantic Similarity (Closeness) are used to understand the Main Context and Micro-contexts within a document. Search Intent Coverage, Related Search Activity Prediction, Query Anchor, and Query Completion Predictions are affected by the word’s association with another word within semantics.

In this Lexical Semantics and Semantic Closeness Guide and SEO Case Study, the definitions of the related concepts, their usage methodologies, and some concrete-early SEO effects will be demonstrated.

Before continuing further, let me introduce you to myself. I am Koray Tuğberk GÜBÜR, the Owner and Founder of Holistic SEO and Digital. In this article, I will try to fill some gaps between my previous SEO Case Studies with the Lexical Semantics and Semantic Relevance. From my Semantic SEO Course, and the other guides and tutorials, you can learn more about my SEO Case Studies.

The Importance of Lexical Relations for SEO Case Study with 24 different websites have been written one year ago. It is not published to protect some websites. The active start and end dates of the projects are given transparently. The organic search performance after the active working end date comes from the search engines’ historical data, trust that is caused by the quality increase of the SEO campaign. Every project had at least 80 content briefs before the active project management’s end date. Daha az göster

In this video, we'll be exploring how to convince a search engine to change the meaning of a query. We'll be looking at two separate cases where the search engine changed the meaning of a query, and how we were able to convince the search engine to change its mind.

What is Query Semantics?

Query Semantics focus on the meaning of a search query for Information Retrieval to increase the overall relevance and responsiveness of the information on the web page to the… Daha fazla göster

In this video, we'll be exploring how to convince a search engine to change the meaning of a query. We'll be looking at two separate cases where the search engine changed the meaning of a query, and how we were able to convince the search engine to change its mind.

What is Query Semantics?

Query Semantics focus on the meaning of a search query for Information Retrieval to increase the overall relevance and responsiveness of the information on the web page to the query.

Query semantics is different from the lexical semantics. Lexical semantics have different meaningful connections than the query semantics. Query semantics change the meaning of the specific words in the query to annotate the context of the query better.

For example, the search query "What is a Soda?" is related and similar to "What is a Pop Drink?". Technically, "Soda" and "Pop Drink" are different from each other in the lexical, but in query semantics, they represent the substitute query.

Why is Query Semantics Important?

Query Semantics help search engines to understand the similarities between the words, and how search language differs from the natural language. Lexical semantics is leveraged by the natural language that is used in daily life while query semantics is leveraged by the search query language as stated in Cranfield Experiments for Information Retrieval Systems.

What are the Lexical Relations for Query Semantics?

Lexical relations involve hypernyms, hyponyms, meronymy, homonyms, antonyms, synonyms for creating a hierarchical and part-whole relations between concepts. Lexical relations are important for creating the same query network connections between the search query terms so that search engines can organize the information need of the web search engine users. Daha az göster

SaaS (Software as a service) SEO refers to an SEO Project and effort for improving the organic search performance of a SaaS website. SaaS B2B and SaaS B2C SEOs differ from each other in terms of SEO strategies and tactics. SaaS SEO takes support from the different sub-verticals of SEO, such as Local SEO, Semantic SEO, and Technical SEO. SaaS SEO Guide explains which SEO verticals, methods, strategies, and tactics are implemented to increase the SaaS B2B and B2C companies’ organic search… Daha fazla göster

SaaS (Software as a service) SEO refers to an SEO Project and effort for improving the organic search performance of a SaaS website. SaaS B2B and SaaS B2C SEOs differ from each other in terms of SEO strategies and tactics. SaaS SEO takes support from the different sub-verticals of SEO, such as Local SEO, Semantic SEO, and Technical SEO. SaaS SEO Guide explains which SEO verticals, methods, strategies, and tactics are implemented to increase the SaaS B2B and B2C companies’ organic search performance, along with user experience and conversion rates. Daha az göster

This case study will demonstrate how clear lines of communication between software development and marketing teams can positively impact SEO results. The Encazip SEO Project achieved:

155% Organic Traffic increase in 6 months
110% Organic Traffic Increase in YoY Comparison for the same three months ( November to January)
To achieve this increase in Organic Traffic, the only targeted keywords were “Relevant and Possible Search Activities” with Semantic SEO Conception.

In this video, I'm going to show you how to optimize your website for holistic search engine optimization (SEO). I'll start by explaining what holistic search engine optimization is and why it's important. I'll then show you how to set up your website for holistic SEO and walk you through a step-by-step case study. By the end of this tutorial, you'll know how to optimize your website for organic growth and achieve 500,000 or more organic clicks a month!

Holistic SEO Tutorial teaches how… Daha fazla göster

In this video, I'm going to show you how to optimize your website for holistic search engine optimization (SEO). I'll start by explaining what holistic search engine optimization is and why it's important. I'll then show you how to set up your website for holistic SEO and walk you through a step-by-step case study. By the end of this tutorial, you'll know how to optimize your website for organic growth and achieve 500,000 or more organic clicks a month!

Holistic SEO Tutorial teaches how to Rank on Google compared to strong competitors with every Technical SEO, Semantic SEO, Local SEO, and Image-Video SEO Components and practices. The Holistic SEO tutorial explains how a beginner can audit a website, and create a brand for further authority with expertise-authoritveness-trustworthiness (EAT) signals for Google algorithms.

What is Holistic SEO?

Holistic SEO is the unification of page speed improvements, user experience optimization, brand building and positioning, content marketing and production, technical and semantic SEO along with local and image SEO. Holistic SEO focuses on every possible optimization for the organic growth of a brand while changing the culture of the organization for a better SEO focused business strategy and methodology.

How to explain Holistic SEO Mindset in one sentence?

Holistic SEO is "optimizing every pixel, byte, user experience, milliseconds for a better digital brand."

Is Holistic SEO hard?

Yes, Holistic SEO is the hardest SEO mindset compared to other SEO verticals. Daha az göster

This video teaches you how to use lexical semantics and lexical relations to improve your SEO campaign. We'll use a semantic SEO case study to explore how to use these principles to improve a website's ranking in Google. By the end of this video, you'll have a better understanding of how to use lexical semantics and lexical relations to improve your SEO campaign.

What is Lexical Semantics?

Lexical Semantics involves lexical relations between words such as hypernym, hyponym… Daha fazla göster

This video teaches you how to use lexical semantics and lexical relations to improve your SEO campaign. We'll use a semantic SEO case study to explore how to use these principles to improve a website's ranking in Google. By the end of this video, you'll have a better understanding of how to use lexical semantics and lexical relations to improve your SEO campaign.

What is Lexical Semantics?

Lexical Semantics involves lexical relations between words such as hypernym, hyponym, holonym, meronymy, synonym, antonym, polysemy, homonymy. The lexical semantics help search engines, and Natural Language Processing to understand natural language. Study of lexical semantics involve classification, and decomposition of lexical units inside the sentences. Lexicosemantics is part of universal linguistics for every language.

Lexical Semantics and relations are used in semantic SEO to express the connections between words, sentence discourse, overall topicality of a document for better relevance and responsiveness. The Lexical Semantics involve syntax and free, bound morphemes in semantic fields to show word and concept boundaries.

Why is Lexical Relation Important for Search Engine Optimization?

Lexical Relations are important for Search Engine Optimization because Search Engines use lexical relations for constructing an information graph while processing the query search terms. Lexical semantics and Query Semantics are bound to each other to understand and match the context of query to the context of the document.

Matching search terms to the document terms is fundamental of Information Retrieval, but semantic and contextual search engines match the meaning that derives from the context of the search session to the document purpose. To increase the click satisfaction, and improve click satisfaction rate, contextual search engines use lexical semantics to re-write search queries of users, and cluster web documents for indexing, and ranking. Daha az göster

This video teaches you how to use lexical semantics and lexical relations to improve your SEO campaign. We'll use a semantic SEO case study to explore how to use these principles to improve a website's ranking in Google. By the end of this video, you'll have a better understanding of how to use lexical semantics and lexical relations to improve your SEO campaign.

What is Lexical Semantics?

Lexical Semantics involves lexical relations between words such as hypernym, hyponym… Daha fazla göster

This video teaches you how to use lexical semantics and lexical relations to improve your SEO campaign. We'll use a semantic SEO case study to explore how to use these principles to improve a website's ranking in Google. By the end of this video, you'll have a better understanding of how to use lexical semantics and lexical relations to improve your SEO campaign.

What is Lexical Semantics?

Lexical Semantics involves lexical relations between words such as hypernym, hyponym, holonym, meronymy, synonym, antonym, polysemy, homonymy. The lexical semantics help search engines, and Natural Language Processing to understand natural language. Study of lexical semantics involve classification, and decomposition of lexical units inside the sentences. Lexicosemantics is part of universal linguistics for every language.

Lexical Semantics and relations are used in semantic SEO to express the connections between words, sentence discourse, overall topicality of a document for better relevance and responsiveness. The Lexical Semantics involve syntax and free, bound morphemes in semantic fields to show word and concept boundaries.

Why is Lexical Relation Important for Search Engine Optimization?

Lexical Relations are important for Search Engine Optimization because Search Engines use lexical relations for constructing an information graph while processing the query search terms. Lexical semantics and Query Semantics are bound to each other to understand and match the context of query to the context of the document.

Matching search terms to the document terms is fundamental of Information Retrieval, but semantic and contextual search engines match the meaning that derives from the context of the search session to the document purpose. To increase the click satisfaction, and improve click satisfaction rate, contextual search engines use lexical semantics to re-write search queries of users, and cluster web documents for indexing, and ranking. Daha az göster

The questions that are answered in the "Keyword Difficulty SEO Case Study" video are below.

- Can a small website take traffic from global authorities?
- Can a small Topical Map be good enough to take traffic from big websites?
- How to outrank the main authoritative sources and websites?
- How to create E-A-T Signals with authoritative and algorithmic authorship?
- Why is keyword difficulty a misleading metric?
- What should be used instead of keyword… Daha fazla göster

The questions that are answered in the "Keyword Difficulty SEO Case Study" video are below.

- Can a small website take traffic from global authorities?
- Can a small Topical Map be good enough to take traffic from big websites?
- How to outrank the main authoritative sources and websites?
- How to create E-A-T Signals with authoritative and algorithmic authorship?
- Why is keyword difficulty a misleading metric?
- What should be used instead of keyword difficulty?

Definition of Keyword Difficulty: Keyword difficulty is a metric from Ahrefs and SEMrush used to describe the ranking possibilities for a specific web page.
Definition of Ranking Difficulty: The ranking difficulty is another name for the keyword difficulty with a broader aspect. Rather than focusing on a specific keyword, it focuses on broader aspects.

Why is Keyword Difficulty a Misleading Metric? Keyword Difficulty is a misleading factor because it doesn't provide search engine understanding, or search engine communication. Since semantics and semantic SEO are more important for overall rankings and authority signals, it is hard to show a keyword difficulty metric. The better option is Quality Threshold.

What is Quality Threshold? The quality threshold involves a quality score to be exceeded for being ranked for certain queries in the main index, rather than a supplemental index. Being served and being indexed are not the same thing.

What is Relevance Threshold? The relevance threshold and quality threshold are not the same things. A web page can exceed the relevance score, but it might not be quality at all. The relevance threshold should be exceeded to be a candidate; the quality threshold should be exceeded to be a representative web page for the other candidates. Daha az göster

A website with high historical data that entails positive user feedbacks rank higher even if there are no articles published, or there is no brand mentions, and links. A seasonal SEO event is used for 350% organic click increase over a year as an SEO strategy with semantics and search engine understanding.

What is Search Engine Trust?

Search Engine Trust involves the reliability of a web entity in the eyes of a search engine for giving information, and helping the web search… Daha fazla göster

A website with high historical data that entails positive user feedbacks rank higher even if there are no articles published, or there is no brand mentions, and links. A seasonal SEO event is used for 350% organic click increase over a year as an SEO strategy with semantics and search engine understanding.

What is Search Engine Trust?

Search Engine Trust involves the reliability of a web entity in the eyes of a search engine for giving information, and helping the web search engine users to perform their search intent. The search engine trust is a concept used by Bill Slawski, and Shaun Anderson to express the trust systems of Google. Google has algorithmic collections to understand the E-A-T of a source. Links, mentions, grammar, accuracy, and historical feedbacks for the source are some of the main components of E-A-T related algorithms' input. Output of E-A-T algorithms is a representation of trust of search engine for ranking the source higher.

How does a Search Engine trust a website, or a declaration?

According to John Mueller, the spokesperson of Google search engine, it takes long time for Google algorithms to trust a website for a topic. It requires continuous and long-term tests, and positive feedbacks from the users. If a website loses the trust of the search engine by performing any kinds of web spam, or presenting wrong information, Google systems demote the website gradually, and during the Broad Core Algorithm Updates (BCAU), demotion becomes stronger.

Why does a search engine need to rank sources according to trust?

Embarrassment Factor means that a search engine may be shamed due to its results. Result consists of web pages. Any web page with a wrong, and ridiculous answer harms the trust of the users to the search engine. Thus, search engines reflect their trust on the web sources, and entities so that search engine's users continue to trust itself. Daha az göster

Semantic SEO is the practice of writing content in search engines optimized around topics, not just individual keywords.
The webinar was all about What is Semantic SEO and how Semantic SEO can change the digital market.
Here we have our guest who will help you understand more about semantic SEO and the benefits of optimizing the webpages accordingly.

Semantic SEO is to create a content network in a relevant and meaningful structure for each entity within a subject. Semantic SEO is connecting terms, entities, facts to each other within a factual accuracy and relational relevance. By focusing on meanings and topics instead of words, it has the purpose of satisfying the search intent of the user better and being the authority for the Search Engine and the User on a particular subject. Google is a Semantic Search Engine that creates connections… Daha fazla göster

Semantic SEO is to create a content network in a relevant and meaningful structure for each entity within a subject. Semantic SEO is connecting terms, entities, facts to each other within a factual accuracy and relational relevance. By focusing on meanings and topics instead of words, it has the purpose of satisfying the search intent of the user better and being the authority for the Search Engine and the User on a particular subject. Google is a Semantic Search Engine that creates connections between entities, searches intents and organizes the information on the web. Thus, creating an already organized content structure with clearly connected entities is important for Semantic Search Engine and Semantic SEO. Daha az göster

Entity SEO (Entity-based SEO) is an SEO technique involves understanding search engines with semantic principles to optimize web pages, and sites around certain topics, entities, attributes and associations for higher relevancy and rankings on the search engine result pages. Entity-oriented SEO focuses on entities rather than keywords while explaining, defining, connecting the entities to each other under certain contexts by providing responsive and accurate information. Semantic Search Engines… Daha fazla göster

Entity SEO (Entity-based SEO) is an SEO technique involves understanding search engines with semantic principles to optimize web pages, and sites around certain topics, entities, attributes and associations for higher relevancy and rankings on the search engine result pages. Entity-oriented SEO focuses on entities rather than keywords while explaining, defining, connecting the entities to each other under certain contexts by providing responsive and accurate information. Semantic Search Engines index and rank web pages according to their entities, predicates, and attributes to demonstrate their relevance to each other, and search query by increasing click satisfaction on the SERP. The Entity-oriented Search relies on Sergey Brins and Larry Page's Google Search Engine design. Sergey Brin patented the first entity-oriented search design in 1999 with the title of "Extracting Patterns and Relations from Scattered Databases such as the World Wide Web".

The World Wide Web involves a scattered database with structured and unstructured data. A semantic search engine parses the queries, and evaluate the text of the documents with natural language understanding and processing techniques such as using Neural Networks and Machine Learning algorithms to organize the information on the WEB with a higher accuracy. Daha az göster

Entity-oriented Search Understanding is an important part of Search Engine Understanding or Search Engine Communication. These terms might be new to the traditional understanding of SEO, but the process of understanding a search engine is a daily routine for any SEO to analyze the search engines’ decision trees that create their result pages. Entity-oriented Search Understanding is the understanding of a SERP Instance based on entities, their types, attributes, and connections to each other. A… Daha fazla göster

Entity-oriented Search Understanding is an important part of Search Engine Understanding or Search Engine Communication. These terms might be new to the traditional understanding of SEO, but the process of understanding a search engine is a daily routine for any SEO to analyze the search engines’ decision trees that create their result pages. Entity-oriented Search Understanding is the understanding of a SERP Instance based on entities, their types, attributes, and connections to each other. A search engine might choose only certain types of pages that include a type of entity along with particular attributes and phrase variations for these attributes with the most related facts. Or, a search engine might filter the results according to the sources’ N-Grams for certain entities. If they don’t have enough numbers, or if they don’t have the relevant facts and external references for these entities, they might be outranked. Daha az göster

This SEO Case Study has been written with 27 articles, by taking traffic from Healthline.com, Webmd.com, and Medicalnewstoday.com in 30 days. The early results are below.

20,000 New Queries in 30 days.
3,000 New Queries on the first web page.
13,000 New Queries between 10-50 rankings.
847% Organic Impression Increase
142% Organic Click Increase


The latter results are even better, but we will focus on the first 30 days with 27 articles. The rest of the article… Daha fazla göster

This SEO Case Study has been written with 27 articles, by taking traffic from Healthline.com, Webmd.com, and Medicalnewstoday.com in 30 days. The early results are below.

20,000 New Queries in 30 days.
3,000 New Queries on the first web page.
13,000 New Queries between 10-50 rankings.
847% Organic Impression Increase
142% Organic Click Increase


The latter results are even better, but we will focus on the first 30 days with 27 articles. The rest of the article might be more academic for search engine understanding. But since this is an SEO Case Study section from my future Semantic SEO Course, it will have a lighter explanation. Daha az göster

Semantic SEO is one of the hottest SEO topics right now. In this episode, Koray Tuğberk Gübür, Founder of Holistic SEO, goes into detail about how SEOs can optimise for semantic search engines and mentions some useful resources to learn and keep up with the future developments of semantic SEO.

Google Author Rank is a concept to explain how and why the Google perceives the authors for ranking algorithms. Google Author Rank is announced by Google in their research papers to explain the authorship concept. Google Authorship had been used with different Google Products such as Google Knol, Google Sidewiki, Google Answers, Google Plus, Google Talk, Google Groups and more. Google author rank is explained in this video for showing how the Google improves their understanding for the authors… Daha fazla göster

Google Author Rank is a concept to explain how and why the Google perceives the authors for ranking algorithms. Google Author Rank is announced by Google in their research papers to explain the authorship concept. Google Authorship had been used with different Google Products such as Google Knol, Google Sidewiki, Google Answers, Google Plus, Google Talk, Google Groups and more. Google author rank is explained in this video for showing how the Google improves their understanding for the authors since the 2005. Google explained many aspects of authorship such as author's writing style, author's official website, author's official social media accounts, author's relevance to a topic. Having real-world domain experts for explaining a topic is always an advantage for the content quality. But, it is also important for the corroboration of the web answers. Corroboration of the web answers represent how the search engine understands the specific types of answers, use them as the facts and the truths. Having grammar errors, information errors, and reputation flaws for an author are harmful states for the overall authority of the author. A bad website with a good author can balance to each other's overall end quality score. Thus, using important person names, and their talents for the Google Authorship is prominent. Daha az göster

Topical Authority: Being a Representative Source for Better Rankings and Traffic

Topical Authority consists of topical coverage and historical data by provide deeper and better information for a topic. Topical authority is a methodology from search engine optimization to convince the search engines that the website is actual authority and trustworthy with high-level of expertise and relevance for a topic. Covering all the entities, words, phrases and the attributes from a topic help a… Daha fazla göster

Topical Authority: Being a Representative Source for Better Rankings and Traffic

Topical Authority consists of topical coverage and historical data by provide deeper and better information for a topic. Topical authority is a methodology from search engine optimization to convince the search engines that the website is actual authority and trustworthy with high-level of expertise and relevance for a topic. Covering all the entities, words, phrases and the attributes from a topic help a website to be indexed faster, and ranked better. Topical authority can also be used as backlink attraction, by forming trust and relationships with authorities in a specific field. Topical authority building is important for any website in order to have a competitive edge over their competitors. Having better rankings, and creating a rank-worth website, contains the topical authority understanding. Daha az göster

Google has its own Knowledge Graph and Base, while Microsoft Bing has its own Satori, which means "understanding" in Japanese. Richard Quien chose the word "Satori" for the Microsoft Bing knowledge base because semantics is about "understanding meaning", and connections between things.

But, entities, attributes, values and predicates, nouns and verbs, query templates, and word sequences are not just about Information Retrieval and Extraction. It is about becoming an authority on a topic.… Daha fazla göster

Google has its own Knowledge Graph and Base, while Microsoft Bing has its own Satori, which means "understanding" in Japanese. Richard Quien chose the word "Satori" for the Microsoft Bing knowledge base because semantics is about "understanding meaning", and connections between things.

But, entities, attributes, values and predicates, nouns and verbs, query templates, and word sequences are not just about Information Retrieval and Extraction. It is about becoming an authority on a topic. And, who is the absolute authority in a world where anyone can write anything while Artificial Intelligence can generate one million words a day? Daha az göster

This article will show how to record and analyze an example of SERP with Python to understand the search engine's perspective and character better. You will also see Topical Search Engine (Semantic Search Engine) features and other possible ways to understand different SERP groups for similar entity types and categorize the documents on the SERP according to various data points.
It is important to save Google search results, compare for different dates, geographies, languages, response… Daha fazla göster

This article will show how to record and analyze an example of SERP with Python to understand the search engine's perspective and character better. You will also see Topical Search Engine (Semantic Search Engine) features and other possible ways to understand different SERP groups for similar entity types and categorize the documents on the SERP according to various data points.
It is important to save Google search results, compare for different dates, geographies, languages, response times, schema markups, content-related details, or SEO-related tags, to understand the search engine's algorithmic requests and what needs to be done in an SEO project. Daha az göster

SEO for SaaS involves the search engine optimization efforts, strategies, planning, analysis, diagnosing, training and implementation for increasing the organic visibility of a SaaS Company. SEO for SaaS is related to the millions of SaaS business models. B2B SEO and DTC SEO are related to SaaS SEO. Design companies, AI Content writers, keyword research tools, text to speech tools, or more other things are parts of the SaaS SEO.

In this case study, we will see that in two months, despite 200% of organic traffic growth, a web entity will not win the Google Core Algorithm Update. The causes of a sudden increase in organic traffic and the effects of Core Algorithm Update are transferred scientifically, showing successes and failures.

Google Author Rank involves the Google search engine’s methodologies to understand, define and rank an author for a topic for the author’s expertise, authority, and validity. Google can understand the author’s vectors, language, and even accent from the audio recordings. Facial recognition, voice recognition, or even action recognition help search engines to differentiate a person from another. Thus, a search engine can use only specific users’ search sessions to understand the click… Daha fazla göster

Google Author Rank involves the Google search engine’s methodologies to understand, define and rank an author for a topic for the author’s expertise, authority, and validity. Google can understand the author’s vectors, language, and even accent from the audio recordings. Facial recognition, voice recognition, or even action recognition help search engines to differentiate a person from another. Thus, a search engine can use only specific users’ search sessions to understand the click satisfaction models, like using only specific authors to understand the expertise threshold for a topic. Especially, in the News of SEO, the authors increase their SEO Value as Google search engine continues to add more Search Engine Result Pages just for author named entities along with specific features. Daha az göster

What is semantic SEO? What are the key points to look for and to work on? What work needs to be done? And last (and definitely not least): How to use Semantic SEO and Entity-oriented Search Understanding for creating better topical authority and categorical quality with historical data... and convince semantic search engines' new click satisfaction models.

The Deepcrawl SEO interview series continues this week with Koray Tuğberk GÜBÜR, founder of Holistic SEO.

Deepcrawl’s Senior Technical SEO, Jamie Indigo, spoke with Koray at BrightonSEO last month in a sprawling discussion of how search engines seek to understand humans and how humans, in turn, seek to understand search engines.

What is an Entity Attribute Value (EAV) Model?

Entity Attribute Value (EAV) is a data structure that leverages knowledge bases for defining things, extracting information, and classifying entities. EAV is used in Information Retrieval Systems for understanding semi-structured or unstructured text. Search Engine Optimization leverages E-A-V structure to understand Semantics of Search Engines for optimizing web sources.

How does E-A-V Help to SEO?

E-A-V is a different triple… Daha fazla göster

What is an Entity Attribute Value (EAV) Model?

Entity Attribute Value (EAV) is a data structure that leverages knowledge bases for defining things, extracting information, and classifying entities. EAV is used in Information Retrieval Systems for understanding semi-structured or unstructured text. Search Engine Optimization leverages E-A-V structure to understand Semantics of Search Engines for optimizing web sources.

How does E-A-V Help to SEO?

E-A-V is a different triple model from Subject-Predicate-Object. In other words, EAV Model brings a new understanding to the entity-related SEO practices. It states that attributes are key for ontology construction and values of attributes are important to get the accuracy and quality of a document, while satisfying the Information Retrieval (IR) Systems. The relevance of a document is seen with term retrieval, probabilistic term distribution, co-occurrence metrics, and sequence modeling in Natural Language Modeling that involves Query-Term Retrieval. The E-A-V brings a new challenge for SEO for including the correct attribute with accurate information and value in the document which helps for relevance further.

In other words, the terms do not appear in the queries, and search terms might increase the value of a document thanks to contextually related attributes, their definition, and connected other ontology components. For example, a document that is about Abraham Lincoln might have many attributes such as "human", "person", "politician", "biography", "political ideas", "votes for acts", "speeches", "quotes", "spouse", "children", but only some of these are to define the entity in the best way. A document that mentions the "assassination" might be outranked easily a document that focuses on "political career" based on the query-processing model of the search engine. Daha az göster

Holistic SEO Uzmanı Koray Tuğberk Gübür'ün konuk olduğu webinarımızın kaydı yayında!

Semantic search is a search behavior that relies on the meanings of concepts, words, and sentences. Semantic search is a mutual feature between semantic search engines and semantic searches. Semantic search sessions involve understanding the meaning of every word, and sentence in web documents and queries based on human language and neural nets. Semantic web and Semantic SEO derive from semantic search.

A Semantic Network is connected to the concept of a knowledge base that can represent real-world information for things that have relational connections. A knowledge base can have thousands of relation types with billions of entities, and trillions of facts. A semantic network can be created from any real-world existence with mutual features such as weight, size, type, smell, or color. The relationship between Semantic Networks and the Semantic Web is created by semantic search engines and… Daha fazla göster

A Semantic Network is connected to the concept of a knowledge base that can represent real-world information for things that have relational connections. A knowledge base can have thousands of relation types with billions of entities, and trillions of facts. A semantic network can be created from any real-world existence with mutual features such as weight, size, type, smell, or color. The relationship between Semantic Networks and the Semantic Web is created by semantic search engines and optimization.

Semantic Networks are used in Semantic Parsing, Word-sense Disambiguation, WordNet Creation, Graph Theory, Natural Language Processing, Understanding, and Generation. The perspective of a Semantic Network can be used within Semantic Search Engine Optimization by providing a semantic content network.

In this SEO Case Study, two different websites with two different methods with the same perspective will be explained based on the Query, Document, Intent templates and the entity-attribute pairs behind them.

Using an understanding of how search engines represent knowledge and how they expand their representation of knowledge, I am able to leverage that to produce incredible ranking results. Once you understand the basic concepts, I’ll explain how I applied them to the two different websites, and then I’ll detail the methods I used. Daha az göster

Semantic SEO Strategy involves semantic SEO practices with different perspectives. A semantic SEO strategy can focus on entity connections or content publication frequencies. The Semantic Content Networks are the focus of the semantic SEO strategies. A semantic SEO Case Study can focus on how semantic search engines parse the queries, or how they process them.

In this context, the semantic SEO Case Studies and Strategies reflect the angle of the SEO Project. In this Semantic SEO Case… Daha fazla göster

Semantic SEO Strategy involves semantic SEO practices with different perspectives. A semantic SEO strategy can focus on entity connections or content publication frequencies. The Semantic Content Networks are the focus of the semantic SEO strategies. A semantic SEO Case Study can focus on how semantic search engines parse the queries, or how they process them.

In this context, the semantic SEO Case Studies and Strategies reflect the angle of the SEO Project. In this Semantic SEO Case Study, the project focused on the publication frequency, and the bulk publishing methodology.

Semantic SEO Strategy with the different publication of content frequency can work together for a better initial and better re-ranking process. Publishing a Semantic Content Network in bulk can make a search engine evaluate the source better and faster, and it can delay some other checks such as duplication of the content, or the accuracy of the declarations.

A semantic SEO Strategy represents the sentence structures, relevance points, order of the facts, and the order of the heading structures. Based on all these aspects, the Semantic SEO Case Study focused on the publication frequency for re-ranking and initial ranking along with the definitions of the Semantic Networks. Daha az göster

Using semantic search engine optimization, you make words in your content more meaningful. Rather than just responding to a query, you must optimize for your users' true intent. After answering the first question, you need to answer the second, third, fourth, and fifth questions directly afterward.

Semantic SEO is the process of optimizing a website to create a Semantic Network that contains the internet of things. Every website can have a different semantic network design. Every… Daha fazla göster

Using semantic search engine optimization, you make words in your content more meaningful. Rather than just responding to a query, you must optimize for your users' true intent. After answering the first question, you need to answer the second, third, fourth, and fifth questions directly afterward.

Semantic SEO is the process of optimizing a website to create a Semantic Network that contains the internet of things. Every website can have a different semantic network design. Every semantic network design can be broken, hyperstructures, or unclear. Thus, creating the connections and the definitions with important attributes is a must.

A search engine can use different types of selection criteria, or different types of text processing methodologies according to the owner of the website. Semantic SEO Case Studies show how to arrange a semantic network, and the internet of things to have a better trust from the search engine side.

A search engine might wait until the source shows its difference from the others. A semantic search engine expands the queries, rewrites the search sessions to give them a better meaning.

A semantic search engine focus on Question and Answer pairing along with the generation. A semantic search engine optimization SEO Case Study has to generate questions and textual data for satisfaction.

Even if a website is an E-commerce website, still, semantic SEO will show its benefits and value. E-commerce web pages can have different types of web page layouts, and even product grids. A search engine can use BERT-like algorithms to give the cells and the rows different meanings. Such as, the VIPS algorithm can be used to give more meaning to the specific web page layout elements. Or, a candida passage answer locator and position scorer can be used. Inferring the visual elements, and alignments of the visually distinct web page content components with separate code entities can signal the sentence structures between the entities and their attributes. Daha az göster

Questions that David asks in this episode include:
Semantic SEO is the process of building more meaning into the words you use in your content - how do you do that in practice?
By focusing on natural language processing I presume that you mean that Google will continue to get better at understanding the true meaning behind all of your content?

Win cool SEO prizes and get weekly knowledge bomb recaps in your inbox! https://seo.video/recap ▷ SEO Video Show EP060: Koray Tuğberk GÜBÜR - Founder @ Holistic SEO & Digital | Semantic SEO

Want to rank in Google news?

Danny Sullivan, Google Search Liaison, gave a special presentation on the Google News Initiative channel.

Multilingual and Multiregional SEO Guide will be told over a concrete SEO Success Case Study and example with 41 different languages, and countries in the context of international SEO. ForexSuggest.com is the subject of the Multilingual SEO Case Study. During the Multilingual and Multiregional SEO Case Study, nearly a new content is not being published, but all the different regional and language sections of the website (source) are synchronized and semanticized with each other with the help of… Daha fazla göster

Multilingual and Multiregional SEO Guide will be told over a concrete SEO Success Case Study and example with 41 different languages, and countries in the context of international SEO. ForexSuggest.com is the subject of the Multilingual SEO Case Study. During the Multilingual and Multiregional SEO Case Study, nearly a new content is not being published, but all the different regional and language sections of the website (source) are synchronized and semanticized with each other with the help of internal links and hreflang tag. Daha az göster

Multilingual SEO is optimizing a website’s SEO process for multiple languages and multiple regions. Multilingual SEO focuses on a websites’ different sections, or a brand entity’s multiple domains for different regions and languages. It includes technical SEO, semantic SEO, local SEO, content related metrics, and contextual search principles. Since multilingual websites are larger, costly but also more informative for search engine users, search engines’ perspective for multilingual websites… Daha fazla göster

Multilingual SEO is optimizing a website’s SEO process for multiple languages and multiple regions. Multilingual SEO focuses on a websites’ different sections, or a brand entity’s multiple domains for different regions and languages. It includes technical SEO, semantic SEO, local SEO, content related metrics, and contextual search principles. Since multilingual websites are larger, costly but also more informative for search engine users, search engines’ perspective for multilingual websites focuses on the categorical quality, topical authority, and cost of document retrieval across different languages. Daha az göster

No backlinks! Let's get to know how this SEO grew a site from nothing to 300k of organic traffic in just 5 months just by using Topical Authority and Semantic SEO!

Koray Tugberk is the SEO behind one of the best case studies I've ever read! Let's get to know him, his thesis, and why his strategies challenge the typical SEO knowledge that many people take for granted...

Contextual Search is searching on the web based on the different contexts for the same queries. A query can deliver different results on a rainy, or sunny day. A search engine results page design can change from winter to summer, or even from morning to evening.


The latest search trend increases and search demand changes can hint a Search Engine for a new meaning for a query, and a Search Engine can process a query for different search intents based on possible contexts. Contextual… Daha fazla göster

Contextual Search is searching on the web based on the different contexts for the same queries. A query can deliver different results on a rainy, or sunny day. A search engine results page design can change from winter to summer, or even from morning to evening.


The latest search trend increases and search demand changes can hint a Search Engine for a new meaning for a query, and a Search Engine can process a query for different search intents based on possible contexts. Contextual Search Engine understands different contexts on a web page, image or text content, web page sections or user’s historical query log, and last search attempts. Daha az göster

In this case study, we will see that in two months, despite 200% of organic traffic growth, a web entity will not win the Google Core Algorithm Update. The causes of a sudden increase in organic traffic and the effects of Core Algorithm Update are transferred scientifically, showing successes and failures.

Koray Tuğberk Gübür, "Semantic Search İlkeleri: Algorithmic Düzeyde Google Brain Ekibiyle İletişim Kurmak" konulu sunumu ile İçerik Bulutu Content Marketing Summit'te bizlerleydi.

This article has been prepared as a tutorial to show how to Retrieve Google SERP with regular periods, animate the differences to see Google Search Engine’s preference and experiment algorithms. In this article, we will use Semantic Search Queries to understand the topical coverage and topical authority of certain domains. We will retrieve all of the related Search Engine Result Pages (SERP) for these queries, crawl landing pages, blend the crawl data with also Google Search Engine’s SERP… Daha fazla göster

This article has been prepared as a tutorial to show how to Retrieve Google SERP with regular periods, animate the differences to see Google Search Engine’s preference and experiment algorithms. In this article, we will use Semantic Search Queries to understand the topical coverage and topical authority of certain domains. We will retrieve all of the related Search Engine Result Pages (SERP) for these queries, crawl landing pages, blend the crawl data with also Google Search Engine’s SERP dimensions and third-party page information to find different correlations and insights for the SEO via Data Science. Daha az göster

Topical Authority is a semantic SEO methodology to rank higher on search engine result pages by processing connected topics and entailed search queries with accurate, unique, and expert information. The topical Authority concept was founded by Koray Tugberk GUBUR on 18 May 2022 for conceptualizing semantic content marketing.

In the Topical Authority SEO Case Study, using Contextual and Conceptual Hierarchies along with Topical Graphs to satisfy every macro and micro Search Intent within… Daha fazla göster

Topical Authority is a semantic SEO methodology to rank higher on search engine result pages by processing connected topics and entailed search queries with accurate, unique, and expert information. The topical Authority concept was founded by Koray Tugberk GUBUR on 18 May 2022 for conceptualizing semantic content marketing.

In the Topical Authority SEO Case Study, using Contextual and Conceptual Hierarchies along with Topical Graphs to satisfy every macro and micro Search Intent within a Semantic Search Network will be shown through mainly a real-world SEO Case Study. This SEO Case Study includes four different SEO Success Stories and Projects. The main SEO Project has the result of 0 to 128,000 Organic Traffic in 123 days and 12,000 Organic Clicks per day in 162 days. Daha az göster

While writing this guide for this SEO case study with four different SEO projects, I have tried to keep things simple as much as possible. And I have told everything with complete honesty. If you can endure long theoric articles with a deep analytical analysis for SEO, I recommend you read the article that I recommended in the beginning that explains more than 40 different lesser-known SEO terms to understand everything behind this methodology.

As you have seen, in order to focus on an… Daha fazla göster

While writing this guide for this SEO case study with four different SEO projects, I have tried to keep things simple as much as possible. And I have told everything with complete honesty. If you can endure long theoric articles with a deep analytical analysis for SEO, I recommend you read the article that I recommended in the beginning that explains more than 40 different lesser-known SEO terms to understand everything behind this methodology.

As you have seen, in order to focus on an initial, rapid gain in traffic, I neglected a lot of SEO improvements for these sites. Working on these different technical SEO elements that you have seen in screenshots throughout the article will also improve traffic even more, but I wanted to be able to clearly show you the effects of semantic SEO alone.

Thanks to deep learning and machine learning, semantic SEO will soon become a more popular strategy. And I believe that technical SEO and branding will give more power to the SEOs who give value to the theoretical side of SEO and who try to protect their holistic approach.

See you in the future SEO case studies and experiments. Daha az göster

In this SEO case study, I'll show how to implement an effective technical SEO and authoritative content and increase a site's organic traffic by 195% in two months. This case will be shared in a series of three articles. The first part is primarily focused on technical and analytical SEO elements and search engine theories and principles. We will examine the Unibaby project, and I will explain the most pressing problems identified and the processes we followed to resolve them. We'll also take a… Daha fazla göster

In this SEO case study, I'll show how to implement an effective technical SEO and authoritative content and increase a site's organic traffic by 195% in two months. This case will be shared in a series of three articles. The first part is primarily focused on technical and analytical SEO elements and search engine theories and principles. We will examine the Unibaby project, and I will explain the most pressing problems identified and the processes we followed to resolve them. We'll also take a look at the May 2020 Core Algorithm update's effect on the brand. Daha az göster

Arama Motoru Teorileri Uzmanı Koray Tuğberk Gübür, İçerik Bulutu Akademi’deki yeni yazısında Google’ın Local Search Spam Detection sistemleri, patentleri ve Google’ın bir görsel ile adres çözümlemesi yapabilen yapay zekasını pratik örneklerle işlerken Local Search Spam örnekleri ve onlara karşı Google’ın aldığı önlemleri yazdı. Kendisine bu değerli bilgi paylaşımları için teşekkür ediyoruz. Ve sizi bu makale ile baş başa bırakıyoruz.

Bir Search Engine için en tehlikeli olgu, “Game… Daha fazla göster

Arama Motoru Teorileri Uzmanı Koray Tuğberk Gübür, İçerik Bulutu Akademi’deki yeni yazısında Google’ın Local Search Spam Detection sistemleri, patentleri ve Google’ın bir görsel ile adres çözümlemesi yapabilen yapay zekasını pratik örneklerle işlerken Local Search Spam örnekleri ve onlara karşı Google’ın aldığı önlemleri yazdı. Kendisine bu değerli bilgi paylaşımları için teşekkür ediyoruz. Ve sizi bu makale ile baş başa bırakıyoruz.

Bir Search Engine için en tehlikeli olgu, “Game System” veya “Gaming the System” diye ifade edilen, sistemin oyun haline getirilerek, Search Engine Optimizasyonu yapan kişiler tarafından manipüle edilmesidir. Bu nedenle Google, özellikle 2011 yılından itibaren belirli noktalarda, Search Community için söylem değiştirerek Algoritma Profilini UX ile ilgisi olmayan her noktada gizlemeye gitmiştir. Daha az göster

In this SEO Case Study, with the help of SEO Theories, Practices, and Concepts, we will explain how a simple URL structure, a clear and logical Site Hierarchy including Faceted Navigations and Filter Structure, and Technical SEO can create 296% Organic Traffic Growth concretely with an example of Health Products Brand’s SEO Project.

This SEO Case Study belongs to Turkey’s largest sexual health products manufacturer. Censorship has been used to conceal the identity of the firm and secure… Daha fazla göster

In this SEO Case Study, with the help of SEO Theories, Practices, and Concepts, we will explain how a simple URL structure, a clear and logical Site Hierarchy including Faceted Navigations and Filter Structure, and Technical SEO can create 296% Organic Traffic Growth concretely with an example of Health Products Brand’s SEO Project.

This SEO Case Study belongs to Turkey’s largest sexual health products manufacturer. Censorship has been used to conceal the identity of the firm and secure its internal data. We will mostly refer to the relevant company with the term “brand”.

Ranking Signal Dilution (or Consolidation) is an important SEO Term that is related to the outcomes below:

You will see how SEO Theories and Theoretical Information and Technical SEO can create 296% Organic Traffic Growth in YoY Comparison. (Between 1 Jun – 1 September 2019 and 1 Jun and 1 September 2020.)
It can increase your organic traffic by 35,51% in one month.
It can create 33,33% Organic Traffic Growth in one month and 66,24% in four-month.
Also, we will see an organic based Direct Traffic increase of 40% annually.
Also, during the SEO Case Study, you will see how I use JetOctopus for a better SEO Analysis for a deeper and more critical analysis.

Below you will see the organic traffic increase coming to 300% on an annual basis and how the Ranking Signal Dilution temporarily reduced Organic Traffic in 2020 in a concave form. Daha az göster

Entity’ler, 2018 itibari ile sıklıkla Search Community tarafından konuşuldu. 2019’da ise tüm Search Engine Teorilerinin ana gündemi haline geldi. Aynı dönemde Google, dil algoritmasını değiştirdi, kendi domaininden local domain uzantılarını kaldırdı, sesli aramalara (eye-free search) ve milyonlarca değişkeni bulunan yapay zeka programlarına ağırlık verdi, internete bağlanabilen her cihaza yerleşerek (ambient computing) kendisini bir yaşam zorunluluğu haline getirmenin ilk aşamasını… Daha fazla göster

Entity’ler, 2018 itibari ile sıklıkla Search Community tarafından konuşuldu. 2019’da ise tüm Search Engine Teorilerinin ana gündemi haline geldi. Aynı dönemde Google, dil algoritmasını değiştirdi, kendi domaininden local domain uzantılarını kaldırdı, sesli aramalara (eye-free search) ve milyonlarca değişkeni bulunan yapay zeka programlarına ağırlık verdi, internete bağlanabilen her cihaza yerleşerek (ambient computing) kendisini bir yaşam zorunluluğu haline getirmenin ilk aşamasını gerçekleştirdi. Peki, Entity’ler Google’ın bir arama motorundan, kişisel yaşam rehberi haline gelişinde hangi noktada devreye girdi? Entity-based Search’ü, Keyword-based Search’ten ayıran temel farklar nedir?

Ben Koray Tuğberk GÜBÜR, her zaman Holistic SEO Expertise’ın yarattığı farka inandım. Makalenin temel konusunu anlamak için Search Engine Theories hakkında bilgi sahibi olunması gerektiği için bu kounda da ihtiyaç duyacağınız bilgileri Guideline içine yerleştirdim. Academic ve Holistic bir Search Engine kaynağının bulunması amacıyla bu içeriği yazarken oldukça haz aldım. Read-o-Meter’a göre makalenin toplam okunma süresi 63 Dakika 45 saniyedir. Toplamda 63 alt başlıktan oluşan Complete, Comprehensive, Entity-based Content Optimization Guideline’ı okuduğunuzda, Search Engine Building hakkında da bazı fikirleriniz olacak. Daha az göster

In this case study, we will continue to look at Hangikredi.com which is one of the biggest financial and digital assets of Turkey. We will see technical SEO subheadings and some graphics.

This case study is presented in two articles. The first article handled the 12 March Google Core Update, which had a strong negative effect on the website, and what we did to counteract it.

This article looks deeper into how I applied learning from this update to become a winner from every Google… Daha fazla göster

In this case study, we will continue to look at Hangikredi.com which is one of the biggest financial and digital assets of Turkey. We will see technical SEO subheadings and some graphics.

This case study is presented in two articles. The first article handled the 12 March Google Core Update, which had a strong negative effect on the website, and what we did to counteract it.

This article looks deeper into how I applied learning from this update to become a winner from every Google Core Update. Daha az göster

In this case study, I will look at Hangikredi.com which is one of the biggest financial and digital assets of Turkey. We will see technical SEO subheadings and some graphics.

This case study is presented in two articles. This article handles the 12 March Google Core Update, which had a strong negative effect on the website, and what we did to counteract it. We will look at 13 technical problems and solutions, as well as holistic issues.

Read the second installment to see how I… Daha fazla göster

In this case study, I will look at Hangikredi.com which is one of the biggest financial and digital assets of Turkey. We will see technical SEO subheadings and some graphics.

This case study is presented in two articles. This article handles the 12 March Google Core Update, which had a strong negative effect on the website, and what we did to counteract it. We will look at 13 technical problems and solutions, as well as holistic issues.

Read the second installment to see how I applied learning from this update to become a winner from every Google Core Update. Daha az göster