Behzad Hussain

31/10/2024

𝑰𝒔 𝒀𝒐𝒖𝒓 𝑾𝒆𝒃𝒔𝒊𝒕𝒆'𝒔 𝑵𝒂𝒎𝒆 𝑺𝒉𝒐𝒘𝒏 𝒐𝒏 𝒕𝒉𝒆 𝑮𝒐𝒐𝒈𝒍𝒆 𝑺𝒆𝒂𝒓𝒄𝒉?

❌ 𝕀𝕗 ℕ𝕠;

𝘏𝑒𝘳𝑒'𝑠 𝑡𝘩𝑒 𝑠𝘪𝑚𝘱𝑙𝘦𝑠𝘵 𝘴𝑜𝘭𝑢𝘵𝑖𝘰𝑛 𝑓𝘰𝑟 𝑦𝘰𝑢𝘳 𝘸𝑒𝘣𝑠𝘪𝑡𝘦!

✔️ Add 𝚆𝚎𝚋𝚂𝚒𝚝𝚎 Schema Markup on your website.

Hopefully, within 2-3 days, your website's Name will be shown on SERP. 👌

🌼 I've a recent experience on 2 Websites of our clients where we saw Site Name changed on the Google Search within 2-3 days.

⬇️ In the attached image from one of the Google's Post, there are simple instructions to keep your website name up to date in;

✔️ Title Tag of Home Page

✔️ Content on Home Page

✔️ Structured Data on Your Website

It's clearly mentioned that 𝚂𝚝𝚛𝚞𝚌𝚝𝚞𝚛𝚎𝚍 𝙳𝚊𝚝𝚊 is the most Important to show your website's name on the Google Search.

Examples of 𝚆𝚎𝚋𝚂𝚒𝚝𝚎 Schema Markup has been mentioned in Google's post.

Link has been given in the comments for further knowledge and examples:

🌹 𝑭𝒆𝒆𝒍 𝒇𝒓𝒆𝒆 𝒕𝒐 𝒅𝒊𝒔𝒄𝒖𝒔𝒔 𝒎𝒐𝒓𝒆 𝒊𝒇 𝒚𝒐𝒖 𝒇𝒂𝒄𝒆 𝒂𝒏𝒚 𝒊𝒔𝒔𝒖𝒆 𝒊𝒏 𝑺𝒕𝒓𝒖𝒄𝒕𝒖𝒓𝒆𝒅 𝑫𝒂𝒕𝒂 𝑰𝒎𝒑𝒍𝒆𝒎𝒆𝒏𝒕𝒂𝒕𝒊𝒐𝒏 𝒐𝒏 𝒚𝒐𝒖𝒓 𝒘𝒆𝒃𝒔𝒊𝒕𝒆!

✅ By the way,
👉 if you love Structured Data addition on your website through Schema Mark Up JSON-LD code,

✔️ let's 𝙲𝚘𝚗𝚗𝚎𝚌𝚝 𝚊𝚗𝚍 𝙵𝚘𝚕𝚕𝚘𝚠 each other for more 𝚂𝚌𝚑𝚎𝚖𝚊 𝙼𝚊𝚛𝚔𝚞𝚙 discussion in coming days!

20/07/2024

𝑩𝒆𝒏𝒆𝒇𝒊𝒕𝒔 𝒐𝒇 𝒂𝒅𝒅𝒊𝒏𝒈 𝑼𝒏𝒊𝒒𝒖𝒆 𝑰𝒎𝒂𝒈𝒆𝒔 𝒊𝒏 𝒚𝒐𝒖𝒓 𝑪𝒐𝒏𝒕𝒆𝒏𝒕:

🌼 𝐼𝑛𝑐𝑟𝑒𝑎𝑠𝑒𝑠 𝚙𝚊𝚐𝚎𝚀𝚞𝚊𝚕𝚒𝚝𝚢 (𝙿𝚀) as revealed by Latest Google API Leaks (Thanks to Erfan Azimi). Google is using an LLM to estimate "effort" for webpages. Images are one of the many sources to show "effort" to Google.

🌼 𝐼𝑛𝑐𝑟𝑒𝑎𝑠𝑒𝑠 𝙽𝚊𝚟𝙱𝚘𝚘𝚜𝚝 score as revealed by Google API Leaks. NavBoost is an algorithm to measure impressions & clicks for a certain documents (or say; Google's mechanism to collect Historical Data of Webpages). For certain topics only, where SERP is showing visuals/images, your unique image may be a cause of more impressions and clicks, ultimately boosting NavBoost for overall document.

🌼 𝐼𝑛𝑐𝑟𝑒𝑎𝑠𝑒𝑠 𝙸𝚖𝚊𝚐𝚎𝚀𝚞𝚊𝚕𝚒𝚝𝚢𝙲𝚕𝚒𝚌𝚔𝚂𝚒𝚐𝚗𝚊𝚕𝚜 as revealed by Google API Leaks. Image quality measured by click (usefulness, presentation, attractiveness). These signals are considered as Search CPS Personal data.

🌼 𝐼𝑛𝑐𝑟𝑒𝑎𝑠𝑒𝑠 𝙸𝚗𝚏𝚘𝚛𝚖𝚊𝚝𝚒𝚘𝚗 𝙶𝚊𝚒𝚗 𝚂𝚌𝚘𝚛𝚎 as mentioned in the Google Patent. This patent reveals that fresh documents are compared with the class of existing ranking documents. An "Information Gain Score" is assigned to the Fresh Documents on the basis of New & Unique information provided in the form of Text & Visuals. This is why Koray Tugberk Gubur always recommends to ad Unique Images.

Thanks my Master; Koray Tuğberk Gübür for Upgrading Our Mindsets to understand Search Engines from Source Documents.

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Ref. Find Links in Comments
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𝐏.𝐒.
BTW, What are the Best Ways to Create Unique Images for your WebPages?
Please Share Your Ideas!

Send a message to learn more

27/05/2024

𝟑𝐫𝐝 𝐏𝐨𝐬𝐭: 𝐄𝐱𝐩𝐥𝐚𝐢𝐧𝐢𝐧𝐠 𝐒𝐞𝐦𝐚𝐧𝐭𝐢𝐜 𝐒𝐄𝐎 𝐂𝐨𝐧𝐜𝐞𝐩𝐭𝐬 𝐟𝐫𝐨𝐦 𝐊𝐨𝐫𝐚𝐲’𝐬 𝐅𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤

➡️ Concept: 𝑺𝒆𝒎𝒂𝒏𝒕𝒊𝒄 𝑺𝑬𝑶
Source: “Importance of Topical Authority for SEO” SEO Case Study by Koray Tuğberk Gübür.

💥 𝑾𝒉𝒂𝒕 𝒊𝒔 𝑺𝒆𝒎𝒂𝒏𝒕𝒊𝒄 𝑺𝑬𝑶?
An advanced approach to search engine optimization that focuses on
- improving the relevance, clarity, and responsiveness of content
- by leveraging the semantic relationships between words, phrases, entities, and contexts.

In Other Words:
↪️ An advanced approach to Search Engine Optimization that focuses on understanding and leveraging the meanings, relationships, and contexts of words and phrases to improve the relevance and comprehensiveness of web content.

🔆 According to Koray Tuğberk Gübür; Semantic SEO is "Closing the gap between query and natural languages by using meaningful compounds between the concepts, and lexemes to help information retrieval systems to organize knowledge better for a cheaper cost." (Comment in FB Group)

𝑯𝒐𝒘 𝑫𝒐𝒆𝒔 𝑺𝒆𝒎𝒂𝒏𝒕𝒊𝒄 𝑺𝑬𝑶 𝑾𝒐𝒓𝒌?

✅ Understanding User Intent:
Semantic SEO prioritizes understanding the user's search intent, which is the reason behind a query. This involves analyzing the context and purpose of the search to provide more accurate and helpful results.

✅ Entity Recognition and Relationships:
Entities are the people, places, things, or concepts mentioned in the content. Semantic SEO involves recognizing these entities and understanding their relationships to one another.

✅ Content Depth and Breadth:
Semantic SEO emphasizes creating content that covers a topic comprehensively. This means addressing all relevant aspects, subtopics, and related entities to provide a complete and authoritative source of information.

✅ Contextual Relevance:
Contextual relevance is about ensuring that the content matches the context in which it appears. This involves aligning the content with the broader topic and subtopics, as well as the specific user query.

✅ Topical Coverage and Content Networks:
Building topical coverage involves creating a network of interconnected content that covers a subject extensively. This network should include main articles, supplementary articles, and related content that collectively enhance the site's authority on the topic.

✅ Micro and Macro Semantics:
Macro semantics involve the overall theme and context of a content piece, while micro semantics focus on the detailed relationships between individual words and phrases within the content.

🦸♂️ Fun Fact: We're featuring our Team Member: Zain in the below Image.
We believe: 𝑶𝒖𝒓 𝑻𝒆𝒂𝒎 𝒊𝒔 𝑶𝒖𝒓 𝑺𝒕𝒓𝒆𝒏𝒈𝒕𝒉! 💪

Let's Learn, Implement & Grow Together!
Happy Learning!

Follow me for more about:
- Semantic SEO
- Topical Authority
- Schema Markups
- Knowledge Panel
- E-E-A-T
- Content Writing &
- Link Building

24/05/2024

𝟐𝐧𝐝 𝐏𝐨𝐬𝐭: 𝐄𝐱𝐩𝐥𝐚𝐢𝐧𝐢𝐧𝐠 𝐒𝐞𝐦𝐚𝐧𝐭𝐢𝐜 𝐒𝐄𝐎 𝐂𝐨𝐧𝐜𝐞𝐩𝐭𝐬 𝐟𝐫𝐨𝐦 𝐊𝐨𝐫𝐚𝐲’𝐬 𝐅𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤

➡️ Concept: 𝑺𝒆𝒎𝒂𝒏𝒕𝒊𝒄 𝑺𝒆𝒂𝒓𝒄𝒉 𝑬𝒏𝒈𝒊𝒏𝒆
Source: “Importance of Topical Authority for SEO” SEO Case Study by Koray Tuğberk Gübür.

💥 𝑾𝒉𝒂𝒕 𝒊𝒔 𝑨 𝑺𝒆𝒎𝒂𝒏𝒕𝒊𝒄 𝑺𝒆𝒂𝒓𝒄𝒉 𝑬𝒏𝒈𝒊𝒏𝒆?
A Semantic Search Engine is a type of search engine that focuses on understanding a user's intent and the contextual meaning of a query, rather than just matching keywords.

Semantic Search Engines, like Google and Bing, save billions of "facts" and "millions of entities" in their Knowledge Base to provide the most accurate information to the users.
-
↪️ You can relate it with Google’s announcement of Knowledge Graph on 16th May 2012 in a blog post with title: “Introducing the Knowledge Graph: things, not strings”

That blog post declared that google can understand the context and meaning of the search queries. Search results will not be based on just matching the words (Strings). Google will understand the underlying context and then show the results from its knowledge graph that contains the connected entities with their possible attributes.
-
🪔 Example of Semantic Search Engine’s Working
If you search “Apple” on Google, before this Knowledge Graph announcement, Google used to show all the related pages that contain word apple in it. It means SERP used to show results about apple fruit, apple company, apple products’ review pages and any page containing 'apple'.

✔️ It means just matching the words without understanding the context or user intent.

✅ But after becoming a Semantic Search Engine, now Google seeks for clues to understand the context and underlying user intent.

✔️ Now if you search ‘Apple’ in Google, you’ll not see any result on SERP about apple fruit because from users’ search pattern, search demand and behavior, Google has concluded that users don’t search for apple by only writing word ‘apple’.

👉 Now, Google does not show apple fruit in search results until there is a proper clue/hint for that. For example, until you add word “fruit” with apple as an entity type to apple (entity) or you add any attribute of apple, Google will not show apple fruit related results.

👌 This is the simplest example how a Semantic Search Engine works by understanding the context and underlying intent of the user before giving the results.

🪝 Wait for the next concept.

🦸‍♂️ Fun Fact: We're featuring our Team Member: Muhammad Muaz in the below Image.
We believe: 𝑶𝒖𝒓 𝑻𝒆𝒂𝒎 𝒊𝒔 𝑶𝒖𝒓 𝑺𝒕𝒓𝒆𝒏𝒈𝒕𝒉! 💪

Let's Learn, Implement & Grow Together!
Happy Learning!

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- Semantic SEO
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24/05/2024

With Koray Tuğberk Gübür – I just made it onto their weekly engagement list by being one of their top engagers! 🎉

23/05/2024

𝟏𝐬𝐭 𝐏𝐨𝐬𝐭: 𝐄𝐱𝐩𝐥𝐚𝐢𝐧𝐢𝐧𝐠 𝐒𝐞𝐦𝐚𝐧𝐭𝐢𝐜 𝐒𝐄𝐎 𝐂𝐨𝐧𝐜𝐞𝐩𝐭𝐬 𝐟𝐫𝐨𝐦 𝐊𝐨𝐫𝐚𝐲’𝐬 𝐅𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤!

➡️ Concept: 𝑲𝒏𝒐𝒘𝒍𝒆𝒅𝒈𝒆 𝑫𝒐𝒎𝒂𝒊𝒏𝒔
Source: “Importance of Topical Authority for SEO” SEO Case Study by Koray Tuğberk Gübür.

💥 What are Knowledge Domains?
Knowledge Domains are the domains of:
- specific queries,
- entities,
- layout designs,
- search patterns, and
- user segments.

🪔 Let’s make it simpler.
A knowledge domain is a way to categorize and organize web content into specific areas of expertise, enabling more accurate, relevant, and contextually appropriate search results.

💡 Example of Knowledge Domains:
For a specific topic like “Weight Loss”, search engines arrange:
- All the related entities of Weight Loss, their attributes and related queries’ along with all the possible contexts, connected with semantically and contextually-optimized connections
- All the related users’ clusters who search weight loss related queries, users’ search patterns, users’ behaviors, user segments and user satisfaction model for weight loss queries etc.
- All the related websites and webpages covering weight loss topics and contexts, sentence-information structure and layout designs for weight loss related websites along with healthcare professionals’ information and their relevant information semantically and contextually optimized for weight loss

Why Are Knowledge Domains Important for Search Engines❓

✔️ Categorization and Organization:
Knowledge domains enable search engines to categorize vast amounts of information into distinct areas or topics. This organization helps in structuring data in a way that is logical and accessible.

✔️ Entity Recognition & Relationship Mapping:
Search engines use knowledge domains to recognize entities (people, places, things) and understand the relationships between them. This involves identifying attributes and associations that define these entities.

✔️ Semantic Understanding:
Knowledge domains facilitate semantic understanding, allowing search engines to comprehend the context and meaning of queries. This goes beyond mere keyword matching to understanding the intent behind a query.

✔️ Improved Relevance & Responsiveness:
By leveraging knowledge domains, search engines can enhance the relevance and responsiveness of search results. This means providing users with precise and contextually appropriate answers to their queries.

✔️ Knowledge Graphs & Rich Results:
Search engines build knowledge graphs that visually represent the connections within a knowledge domain. These graphs help in generating rich results like featured snippets, knowledge panels, and entity cards.

🪝 Wait for the next concept.
Let's Learn, Implement & Grow Together!
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22/05/2024

🤦🏻‍♂️Feeling Difficulty in Understanding Koray’s Framework?
Do You Also Think Koray Tuğberk Gübür Uses Difficult Language?

👍 Yes, it’s true!

⚠️ Koray’s Framework is not easy because SEO is not easier anymore!
You must have seen the latest cruel & brutal Algo Updates from Google ruining and de-indexing full websites.

👉 In its simplest form, Koray’s Framework is all about understanding Search Engines’ mechanisms and structuring your website to meet Search Engine’s needs for higher & sustainable rankings.

🔆 Remember, Koray’s Framework is only for passionate learners who are open to change their mindsets and adapt to new concepts.

📖 I’m learning and implementing Semantic SEO and Topical Authority Concepts from Koray’s written case studies on different websites. I’ve not attended Koray’s Topical Authority Course yet.

♻ In the coming posts, I’m going to explain some important concepts of Koray’s Framework with the help of Koray’s written Case Study; “Importance of Topical Authority for SEO”, published on Holistic SEO Blog.

💎 Following is the list of Theoretical Concepts of Koray’s Framework that We’ll cover:
1️⃣ Topical Coverage
2️⃣ Topical Graph
3️⃣ Topical Authority
4️⃣ Topical Connections
5️⃣ Topical Hierarchy
6️⃣ Topical Borders
7️⃣ Semantic SEO
8️⃣ Semantic Search
9️⃣ Contextual Hierarchy – Conceptual Hierarchy
1️⃣0️⃣ Entity Type Matching
11. Neural Matching
12. Neural Nets – Sub-topics
13. Dominant Search Intent
14. Sub-Search Intent
15. Contact Section of Initial Contact
16. Content Format
17. Update Score
18. Update Amount
19. Update Frequency
20. Content Publishing Frequency
21. Link Types (S-Nodes, I-Nodes, C-Nodes)
22. Heading Vectors
23. Context Vectors
24. Candidate Passage Answer
25. Dependency Tree
26. Part of Speech Tag
27. Sentiment Structure
28. Named Entity Recognition
29. Entity Association (Connections)
30. Entity Attributes
31. Complex Adaptive System
32. Knowledge Domain
33. Query/SERP Mapping
34. Crawl Efficiency
35. Search Engine Trust
36. Search Engine Communication
37. PageRank Sharing of Hreflang
38. Semantic (Structured) Search Engine
39. Question Generation from Content
40. Unique Information Gain Score
41. Initial Ranking
42. Page Segmentation
43. Topic Cluster – Neighbor Contents
44. Website Segmentation
45. Featured Snippet Oriented Content Network
46. Content Similarity Level – Boilerplate Content
47. Ranking Signal Dilution and Consolidation
48. Canonical Query
49. Canonical Search Intent

➤ Wait for the next posts of this series where I’ll cover all these concepts step by step with examples.

📣 Koray’s Topical Authority Course is set to be launched on 25th May 2024 at 18:00 GMT+3, get prepared before jumping into the battlefield!

✅ Let's Learn, Implement & Grow Together!
Happy Learning!

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- Semantic SEO
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19/05/2024

Confused: How to Implement Semantic SEO on Your Website?

Read here 15 Actionable Tips from Koray Tuğberk Gübür to implement Semantic SEO.

In the ocean of floating concepts and knowledge about Semantic SEO, it's a bit confusing "Where to start?" and "How to start this blessed Semantic SEO's implementation?"

Legendary Innovator & Founder of Holistic SEO & Digital; Koray Tuğberk GÜBÜR have provided 15 actionable tips in his case study published on Oncrawl website. In that case study, he explained 4 websites where he solely focused and experimented the power of Semantic SEO and Topical Authority.

Following are the 15 actionable tips to implement Semantic SEO:
1- Create a Topical Map Before Starting Publishing
2- Determine the Link Count per Page
3- Determine the Anchor Texts Semantically Optimized
4- Determine the Contextual Vectors
5- Determine the Content Count be Written and Published
6- Determine the URL Categories and Hierarchy
7- Create a Topical Hierarchy with Contextual Vectors
8- Adjust Heading Vectors
9- Connect Related Entities for a Topic within a Context
10- Generate Questions & Answers for Possible Search Intents
11- Find Information Gap Instead of Keyword Gap
12- Stop Caring About Keyword Volume or Difficulty
13- Focus on Topical Coverage and Historical Data
14- Use Natural Language Processing Terms
15- Educate Your Customers

Read the summarized details about the above tips on LinkedIn here: https://www.linkedin.com/posts/behzad-hussain_15-actionable-tips-to-implement-semantic-activity-7197272620038283266-QMtq?utm_source=share&utm_medium=member_desktop.

Read the Full Article:
Title: Importance of Topical Authority: A Semantic SEO Case Study
Published on: oncrawl

The following detailed version of the above case study contains 15,000+ words and 50+ important Semantic SEO concepts with easy-to-understand explanations from Koray.

I believe, no other Koray's Case Study contains such an easy explanations of such a huge number of complex concepts.

(You'll surely forget your math's teacher's teaching skills after reading Koray's teaching style here)

Title: Importance of Topical Authority for SEO
Published on: holisticseo. digital

Let's Learn, Implement & Grow Together!
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10/05/2024

Are you worried about declining traffic of your Website/Store?

Do you want to increase B2C or B2B traffic?

Here's an interesting advice for B2C/B2B SEO from "Query Semantics SEO case Study" by Koray Tuğberk Gübür.

"To be able to be successful on the search engine optimization, sometimes, you have to Augment the Queries, and you need to Connect Them to Your Own Context that's why it is important to understand the Query Semantics."

(These are Koray's words in Video Case Study, Listen Yourself from 03:20)

Let's explain Koray's words:

What is Query Augmentation?
(Search Engine's Perspective)
Query augmentation refers to the process of enhancing or modifying a search query to improve the relevance and accuracy of the results shown by a search engine. This process can involve various techniques to expand or refine the original query based on additional information, user intent, or contextual data.
Relevant Google Patent: Query Augmentation (Search & Find on Google)

How to Augment Queries for B2B Ecommerce?
The concept of "augmenting the queries" refers to the practice of enhancing or expanding the queries to include additional search intents and contexts that might not be explicitly stated by the user but are inferred from the user's search intent.

For a B2B e-commerce website, this might involve anticipating broader or adjacent needs and interests of the business customers and incorporating these into the SEO strategy.


Connecting Queries to Your Own Context:
Koray emphasizes the importance of connecting these augmented queries to the specific context of your own business. This means aligning the queries with the nature, products, and services of the B2B e-commerce platform. By doing so, the website can better address the specific needs and search behaviors of its business customers.

Importance of Understanding Query Semantics:
The successful implementation of these strategies is connected with deep understanding of query semantics. Query semantics involves comprehending not just the literal meaning of the words in the search queries but also grasping the broader context, intentions, and nuances behind these queries. This understanding allows for a more effective mapping of user searches to the content and offerings on the B2B e-commerce site.

Here's the Complete Article with Easy Explanation of "Query Semantics SEO Case Study": https://lnkd.in/dDZQnB-2

This case study discusses some important concepts for B2B and B2C Ecommerce SEO.

Let's Learn, Implement & Grow Together!
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,

07/05/2024

Hello Everyone,

As I've already mentioned that I'm working on writing easy explanation of "Query Semantics SEO Case Study" by Koray Tuğberk Gübür!

Thanks for such a generous sharing!

Link in the first comment for the complete article with Easy Explanation of "Query Semantics SEO Case Study - Convince Search Engine to Change Meaning of a Query - Two Websites"

It took my 7 days to understand and write easy explanations of this 22:41 minutes long case study.

Due to length of this article (10,000 words), it has been published on Linkedin. Link in the first comment.

This article contains:
- Video Transcript
- Easy Explanations
- Definitions of Technical Terms and Concepts

Let's Learn, Implement & Grow Together!

Happy Learning!

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- Semantic SEO
- E-E-A-T
- Topical Map
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