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One of the most frequent questions by novice SEOs is, ‘Should I put the 100+ most searched keywords on my website and optimize them all?’ The answer to this would be no. The key to beating broader, more established authority sites is in creating not just content that matches keyword needs of consumers but also content that ranks useful for solving common problems. Another way to rank higher despite lower ranking keywords is through building links, leveraging other sources of traffic (SEM/SEO), and competing in organic search results through the use of long tail keyword strategy. Thanks for sharing your video , Koray

You can find the questions and their answers here. Welcome to the #SEOChat! Let’s talk about “RankLab”. RankLab is a Machine Learning platform for configuring Google’s Ranking Algorithms for resources and sources. Today, we will dive into the “Predictive Ranking”. Just a few ground rules before we get #SEOChat off the ground. 1. I'll ask questions with Q1, Q2, so make sure to respond w/ the corresponding A1, A2, etc. 2. Don't forget the #SEOChat hashtag or we won't be able to see your responses/comments. 3. As always, be nice or else. giphy.com/embed/XLIWxLU3KsmNM3Wt8w Q1 What is the difference between Query-dependent and Query-independent Ranking Criteria? A1 Query-dependent and Query-independent ranking criteria are fundamentals for re-ranking algorithms. A document can be relevant for a query, but query-independent factors can make it eliminated. Information Retrieval Score can be a factor for Query-dependent ranking, and PageRank can be Query-independent factor. Q2 If the query is “Protein Powder”, which one would have more weight, Query-dependent, or Query-Independent Ranking Factors? A1 Answer is related to “Relative Ranking”. In an Inverted Index, the most quality document and less quality document will have different types of scores. The thresholds are determined “relatively” based on threshold sources. For “Protein Powder”, the Query-independent Factors will have more weight. The search intents are ordered as: Buy Protein Powder Find Protein Powder Reviews Find Protein Powder Brand Reviews Compare Protein Powders How to use Protein Powders What are Protein Powders Q3 What is Query Processing? What is Processed Query? Does a Search Engine re-rewrite queries? Does it generate questions from queries? A3 Query Processing is the parsing of the query for calculating the term weights for possible search intents and activities. Processed Query is the query’s rewritten, and optimized versions. The processed query can be a question. The Search Intents for “Protein Powder” are its processed version. Q4 For the Query “X Stadium”, which SERP Features would you think to appear more? Local Map Pack, Images, PAA, Team Score Results, News, etc? Can you give me an order? A4 SERP Features are relevant to the Search Intent Distribution. For “X Stadium” Query Template with popularity order: - Entity Relation Refinement - Knowledge Panel - GBP Panel - Image Pack - PAA - Video Pack - Web Results Q4 How would you rank “Major and Minor search intents” for the Query of “Home Renovation”? A4 “Home Renovation” is a “service-seeking query”. For the “Noun Renovation” Query Template: Major Search Intents: Find an X Renovation Service Near Me, Review X Renovation Services, How I do Renovate X and Cost… Minor Search Intents: X Renovation Definition, Difference, Comparison… Q5 What is the Semantic Distance between two Queries? A5 Semantic Distinctiveness and Similarity are different. Armour can be semantically relevant but different from the sword. The distance between two queries represents how the documents need to be shaped. Semantic Distance between queries is determined by edges and nodes between concepts in a graph network. Q6 What is the difference between Query and Lexical Semantics? A6 Query Semantics rely on Query Co-occurrence and Correlation along with “interchangeability” The Lexical Semantics rely on dictionary meanings. A query word can have a different meaning than a dictionary definition. Two words can be irrelevant, but they can appear in queries together with no concrete reason. Q7 Can an SEO change what a search engine thinks about a concept? Can we register non-existing things into their knowledge base? Can we change a brand’s relevance to a concept with a positive sentiment? A7 Yes*3. A search engine learns always-on. It can change opinion, or recognize something new. Without search demand, documents are collected and classified. A brand can make a Knowledge Domain more expanded, and it can affect all other brands’ Topical Authority/Categorical Quality. Q8 “Predictive Document Ranking”: How to determine PageRank need per web page? How many declarations are necessary to create enough Information gaps? How many pages should change for a Re-ranking Event? A8: “Predictive Information Retrieval” relies on introductory sections of documents for initial relevance calculations. Predictive Document Ranking relies on Query-dependent and independent factors with pre-determined thresholds. For a New SEO Project: The PageRank, Relevance, and Comprehensiveness thresholds should be determined. This section is relevant to “Relative Ranking”. Q9 Can change word order affect Information Retrieval Score? Should results change from “Vision Board” to “Board Vision”. A9 This section is about “Probabilistic Ranking”. Yes, Word Order affects IR Score. No, it shouldn’t change, but it changes. Phrase-based Indexing works with Phrase Lists, Co-occurrences, and Proximities. Initial, central, and context words will have more weight. Word Order changes these. Q10 Which one is more important? Indigenous or Exogenous Ranking Factors? A10 It depends. The direction of the Google search engine is from Exogenous Ranking Factors to Indigenous R. Factors. Why? Because, it is more controllable, and manipulation possibility is harder. Quality can be seen from content better, rather than external link flow. Q 11 Which order is better for external anchor texts? A- Branded, Generic, Branded + Generic B- Branded, Branded + Generic, Generic C- Generic, Branded, Branded + Generic A11 Brand Name => X, Branded + Generic Anchor Text => X Brand Y Product If there is a high level of content production, choose B. If there is not enough content, Choose C and consolidate PageRank for higher historical data earlier. Q12 Should we restrict the internal link count within the main content? A12 Yes, every internal link will divide the PageRank while diluting the main purpose of the content. According to the internal link count, the content’s length, or purpose can change from an article to hub-type content. Q13 Does internal link position matter? A13 For Crawling, No. For PageRank Flow, Yes. For Relevance, Yes. Q14 What is the similarity threshold? Why is it important for SEO? A14 Similarity threshold is to determine whether two documents are similar enough or not. If two documents are too similar to each other, one of them will be canonical. Search engines can cluster documents and choose one of them cross-domain canonical, as representative content. Being shadowed by another source can be seen during broad core algorithm updates. Q15 Do you think that Search Engine Optimization is harder than programming or not? A15 This is an opinion-based question. For me, SEO is harder than coding and programming. Because SEO also involves programming. And, there is no school for SEO. Search engines do not give, what they do, what you should do. Results come 6 months after. In programming, everything works in 5 seconds with clear documentation. SEO is harder than web development. Q16 What would you change in Google’s algorithm. And, what would you like to tell @John Mueller for that? How do you feel about small websites? Or, news publishers? Are you happy with non-given voice search data? Or, should Google try to keep users on SERP? Should we be paid for this by Google? A16 Thank you to John Mueller, for every question that he answers for all these years. From my point of view, I would like to see voice search data. I know Google sends more traffic to the websites every year, but the percentage gets smaller too. #SEOChat with RankLab and Predictive Ranking is ended. Thanks for joining, and sharing your information with us. giphy.com/embed/KAKgpCLJDnzeU

Waiting...

waiting

heyecanla bekliyoruz...

That's great, I'm waiting

I've started machine learning and NLP course to better understand Koray's upcoming course :))

WAITING WAITING!

Great agenda ;)

Koray, you are my new favorite SEO Guru.

@TopicalAuthority

2 жыл бұрын

So happy to hear, thank you!

Koray's way of explaining things is so convoluted that no one really understands him. Only a small group of people think that he's saying something important because they can't understand it.

It was exciting to hear a few more details about your course! We are eagerly waiting for it! I've already told my SEO to try to get a bit ahead with our client work so that he will have time to take your course once it's released...being 40 hours long i see it might take him a couple weeks at least i guess, but I'm excited to see what he can learn from it. I also look forward to doing it myself. This video you made here was interesting as well. It's nice to have the context behind what is written online, and with videos like this I think that it allows for explanations that are harder to express in writing, so i'm glad you plan on making more of these. -Stephan

@TopicalAuthority

2 жыл бұрын

Thank you!

I'm confusing. You guys here are too smart for me.

Great stuff, thank you.

@TopicalAuthority

2 жыл бұрын

Thanks for watching.

@mdseo705

2 жыл бұрын

@@TopicalAuthority Do you have a date to launch your Course?

@TopicalAuthority

2 жыл бұрын

@Mark Does Not a concrete date, yet. But it is ready.

Koray, this is another amazing video! Can't wait to see the course

@TopicalAuthority

2 жыл бұрын

Thank you, it means a lot.🎉

Will you take questions? If so, can you tell us more about Keyword clustering techniques you use. How do you prioritize kws? Such as: For a new site which kws will target first for writing? Do you base it on ranking probability?

@TopicalAuthority

2 жыл бұрын

Hello Syeed, we are chatting in the chat section already. We have answered this question in the chat as well. I said, I prioritize topics based on the centrality of the specific entity, and contextual domain by mentioning David C. Taylor.

Great video! When is the course expected to drop and is there a price tag yet? Thanks and all the best, Koray!

@TopicalAuthority

2 жыл бұрын

Waiting for a peaceful environment. And, price will be friendly.

Hi Koray, Is it possible to Trigger a re-ranking event for a website that has lost rankings over time without updating old content, or updating content is mandatory?

@TopicalAuthority

Жыл бұрын

Try to break the website, change URLs, or design, then fix it back.

Will you also explain these technical terms in your course. I have an idea for course: Please create a glossary section defining all the terms in 3-5 lines.

@TopicalAuthority

2 жыл бұрын

Already did it :)

Hey, Koray, I'm very much interested in your course. Is it available yet? Is it the same course as the one that will be released as one of The Affiliate Lab module?

@TopicalAuthority

2 жыл бұрын

The course that I have created is longer than 40 hours, and many articles. It is separate. At the moment, I wait for a proper ground to publish it.

Wait is over

@TopicalAuthority

2 жыл бұрын

It is just starting :)

"You will need to optimize sentence lenght" How would you know what the optimimal sentence lenght is?

@TopicalAuthority

2 жыл бұрын

The shortest sentences are the best for Information Extraction. Try to not use the "nested propositions", and "conditional declarations". Ideally, a shorter dependency-tree is better for computation.

@nicolaskeith8945

2 жыл бұрын

@@TopicalAuthority Thanks Koray, that makes sense, and I do that anyway. So it's not so much a "length" per se, then?

In Koray's case studies, he never gives a domain name because he doesn't do anything other than produce nonsensical content and backlinks. He's a scammer.

Koray is no Bill Slawski. He's just a clown who tries to copy him but doesn't know how to follow the right patents at the right time.

Koray has even threatened his employees who want to quit, according to @LaweskhoAna. This kind of behavior is unacceptable in any workplace.