Guide to Creating Semantic Content Briefs

hi everyone this is Muhammad Hamed Khan and today I'm back with another practical tutorial on semantic SEO so I've been producing some good content on semantic SEO on my YouTube channel and covering topics like how to achieve topical Authority stairs by building topical maps from scratch some semantic Su components and some in-depth guides as well like how btic SEO differs from traditional SEO so I'm really happy that you guys are finding my content useful and that's why I'm here and creating another exciting tutorial on semantic SEO this time I'm going to cover a very important component of semantic SEO which I've seen people facing hard times and difficulties making that component right and that component is semantic content prove exactly I'm going to cover my practical step-by-step approach of creating semantic content brief for any any topic based on cores methodologies and other semantic s Frameworks so this going to be a very lengthy video probably jump up to uh two hours or three hours I don't know because I just started recording this video and my goal is to make this video very transparent and clear for you guys to understand the step-by-step approach or the methodology or the strategies I've been following for creating content briefs and uh I hope you will like this tutorial just plug in your headphones sit back and relax and uh see you in the Practical part [Music] bye all right so welcome to the Practical part and in just a few minutes I'm going to create a real semantic content brief based on uh semantic ass methodologies so before moving forward uh if you are new to my YouTube channel I've just started a channel and uh I posted bunch of videos uh helpful videos on semantics by the way some are very practical some are some beginner level Concepts I mean how it differs from traditional SE and some master class sessions as well so my main focus is to cover uh upcoming videos in English now because mainly uh the concepts methodologies are easy to explain in in English as compared to the Udu and Hindi language so uh definitely would love to create more content so you can see uh my channel and you can watch some videos and maybe get some idea how semantic is working and how you could benefit from it and uh do let me know what you think about my channel and also what type of videos you want me to create in future and just uh my LinkedIn is also active and uh I've been producing some content here as well um the workflows my favorite workflows have some created on Myro some created with just a pen like the paper pen combination which I mostly like and uh again let me know what type of content and in in which form you would like me to create further Facebook is also very active and uh once again thank you for watching my video and just drop your feedback in the comment section see you in the Practical part okay so today uh right now I'm going to create a practical uh semantic content brief and uh I like created more than I mean if if I'm not wrong more than 500 to 1,000 briefs and still it's like weekly we create 20 to 30 briefs for multiple clients for my own portfolio websites and uh we have mastered this process and uh uh you can maybe replicate the same process I've been following and improve it definitely so let me open the Google Sheets and uh also I would like to choose a random topic so let's pick a topic for example best what about best protein powder and I would like to rank this topic in United States and for geoc code I'll put Los Angeles I'll just hit the search button and we'll see what type of contents are already ranking there the search intent the overall research we're going to start from here so I can clearly see the product is dominant here like protein PO is here is a product and best is the attribute I mean for protein powder entity someone searching means looking to purchase or looking to uh you can say is more likely to purchase in the decision stage he is in so the type of pages organic reserves this is our main target as you guys know so we can see that aysal is ranking on the number one and 11 best fa protein powders according to I don't know what the title is okay but uh the next one okay the next one has a different angle how to choose the best protein powder so this one has clearly mentioned the best protein way Po in it title the clear expectation of the user it has clearly answered that the direct thing that user wanted to see the best way protein powder 11 best but it has uh the title is totally different like how to choose the best protein powder so anyways we'll dive into these surp analysis a bit later but let me formulate this Google sheet and uh introduce you the Core Concepts on which our semantic brief going to going to build on so first all let me make it like brief and then I would make it like best protein powder okay I will make it like brief or you can say methodology make sense so now I will uh construct the uh the column names first of all it would be headings me make it a bit bigger make it like proper format it pull make it yellow headings then headings here Arch key or simply or simply you can write hierarchy I guess that's more convenient then you can write here some more things methodology some more here like anchor text and some rules if you want to create for this brief for the writers basically I've uh I have lot of rules for the writers and I've shared with them but for for a brief there are some specific rules as well like here for this brief some rules are like common or you can say generic that apply to every brief for example definition format how to answer a definition we have a set of rules we follow a specific format like we start with um we start with a very uh basic thing like first is X is like for example what is coffee so we'll start like coffee is a we'll use that modality and then we use uh classification I mean entity type like coffee is a beverage beverage is the entity type so this is how we formulate our definition and then we write the unique attribute of the entity like uh like the same attribute is basically the same class or the same entity types but a specific entity has a unique attribute but not all other entities in the same class or in the same entity type has that kind of attribute I mean buj Khalifa is the unique attribute of Dubai um and you can say there are like three types of attribute let me write here uh we'll I'll let me create uh another tab of foundation or you can say intro whatever makes sense more I'll drag it to the top and uh now let me uh write here some Concepts like for example you first I have to understand the three main types of attributes here actually there are I mean more than 30 40 types of attributes depending upon the need you are trying to cover and uh whether you're finalizing topical map right uh the topical map finalized based on different types of attributes whether you writing content different types of attributes being used and in semantic content brief also the attributes have some has very important thing to do with your approach and methodology so first of all three types of attributes I would let me make the sheet a bit Zoom like this okay three types of attributes you have to focus on this first one is root attributes uh then unique attributes then rare attributes so root attributes are basically the attribute that um that appears in the in all the entities in the same entity type for example if entity type is vehicle and all the vehicles like car like you can say other vehicles like U other type of vehicles like truck like bus they all have same attribute for example tire tire is a root attribute of vehicle entity type make sense so car so uh tire is uh basically root attribute of vehicle entity type okay so one more attribute we can discuss here unique attribute unique attributes are those attributes that only appears in that specific entity in but not in any other entities in the same entity type or same entity class as I mentioned uh for example BR kifa as I mentioned is a unique attribute of Dubai uh Eiffel to you can say is the unique attribute of par Paris if we say Eiffel to it implied it automatically means that we are talking about Paris so unique attributes are those rare attributes are actually those who are very uh uncommon in any uh entity in the same entity type for example Museum in museum is a like you can say a rare attribute because it not every city has a museum right so it's a rare attribute all you can also say that uh some more attributes like like like like Parks Parks rare root attribute or you can say that [Music] uh like parliament of office right because Parliament office uh or courts you can say not every city has its own court maybe you can say that as well so I guess you get the foundation for the attributes now let me move towards again I always in my lectures mentioned that you have to learn and these things I mean you cannot master in a in a in a single day or after watching a set of videos you have to experience them you have to learn I mean for every topic this thing change right for every topic and it's a very Dynamic thing query semantics as you can see in my uh background is also talking about understanding the context of the query understanding the meaning of the query the query definition the query aspect how query is being processed how query is being passed by machines and also in query processing there are some other Concepts as well okay so queries semantics one more thing we will explain lexical relations or you can say lexical semantics and one thing I would also add here Authority hacking or let me make it more like distributional semantics like you can say our brief will mainly be in uh evolved d uh around these three Core Concepts and I will practically show you don't worry also some more Concepts like representative questions repented question some more Concepts like Boolean question and some main uh you can say the glossery of semantic content brief I mean in simple words let me uh explain here glossery of uh semantic content brief I mean first of all you have to understand that first start with contextual vector then we start with contextual hierarchy uhhuh let me check the spell uh if I've written the right or not okay cool some more Concepts like contextual parters contextual Bridges some more Concepts like uh let me write it right in article methodology methodology we have contextual flow contextual [Music] Direction uh format some more things like contextual connection tonality of the cont and and uh also uh every time I also give context terms and all things actually could become a contextual structure in simple words and in contextual structure we could have uh like phrase tonomy uh taxonomies and also phrase sequences these are I mean some of the important things we can say and uh yeah exactly and also you have to one more thing you have to understand in the foundation let me make this here Clos threee some Foundation Concepts Concepts and make it like uh here like this and sorry uhhuh all right one more thing which is the main thing we're going to discuss question generation and in question generation we're going to first discuss about uh how Google generates question and match questions and make or you can say match those questions with answers in simple word we can also say that question answer pair yeah so question generation we have to understand after understanding the common thing which Google do normally Google does normally and uh uh we're going to start it right now just I'm opening up my sheet [Music] and this one okay so first of all let me briefly explain about these things contextual Vector first of all contextual Vector I mean mostly people are confused and uh it's a very technical concept but let me explain you in a simple word it's actually coming from Google patents and a vector could be a very uh for a unique term right a unique context that could be a vector and uh for for a unique term you can say there could be uh multiple variation to explain uh to to write down a same con context right I mean so every unique term has its own kind of vocabulary and own kind of vocabulary that could maybe group together and they ultim ultimately make a vector right so vectors are basically first uh before understanding vectors you have to understand the word to Vector model which is actually used by machines most of the machines like Google as well to calculate and determines or understand the relevancy of a document and worldto approach basically uh from a machine perspective machine actually reads your content and converts or embed that content into vectors and that's very important for machine to understand the context connections the relationships with the information the meanings throughout the content the flow of the information initely and everything and then connects with the users queries right so Google's uh or machine basically understand your cont content from top to bottom approach then bottom to top approach again like first understand your title slug URL your H1 your summary the anram you have used there it actually understand what you're talking about and then how overall information is being connected with the context the main theme which is in semantic we called m macro context and one more thing I would like to hear macro context and micro context let me make it like this and I probably hope that you understand uh One More Concept which is macro semantics and micro semantics yeah okay so Google uh use word to V uh model to understand the determine the relevancy of a document so we in in it's it's a uh concept coming from Google Patent so we say that like we create heading vectors here which means we are giving Google is definitely converting each heading into its own Vector with set of vocabulary terms and connect those information together and form a macro context and to understand the overall relationships of the entities linked together through their shared attributes the ontologies the texies so everything happens after uh embedding information into vectors format so that's why we say contextual Vector to make things very relatable with Google's own patent knowledge uh patent uh uh knowledge or research papers so let me start one by one I'll just explain in a couple of minutes macros semantics basically deals with the top level components I mean why it's important to understand these Concepts to help you understand the semantic content Brave methodology so we create like topical Maps we basically uh finalize the uh context we're going to cover that their main H1s their main titles and their main met description and the other components like image um all tag or image title image URL so these components that Google Sees in the first place and the HTML components that help Google understand the macro level uh understanding of a page or or of a website or even a specific section that actually a macr semantics whole field is macros semantics um you can say the sitewide andrs like which specific words one word two word three word four words are being used throughout the site like the engrams this kind of study could also come in macros semantics then we have micros semantics micros semantics deals with teeny optimization even if you changing a sentence structure if you putting a full stop at the end of a sentence or even you're just capitalizing the content it's totally whatever you're doing in the content a stey optimization in the content configurations that we refer to micro micro semantics so semantic content brief basically is a part of micr semantics that's why I have to explain this concept here so we understand contextual vecture as well like the goal is to create maximum unique and uh uh accurate and also meaningful contextual Vector with some connections hierarchy uh by forming a whole meaning of the information we're trying to provide and helping machine and user at the same time to understand what we are talking about contextual hierarchy simply the H1 H2 the in which hierarchy the information is being flow uh flowing borders I will explain it bit later contextual is borders are basically uh how where macro and micro contexts are being separated or in simple words where main content is being added and and supplementary content is being started let me give you a very uh quick uh very quick example here to understand you these four Concepts in a in a very quick way the four Concepts means macro sorry um macro context micro context main content and supplementary content these four concept I will help you understand in a very very very quick way so for example the topic for this page is this is by the way cor's website the topic for this page is 20 health benefits of water which means the macro context is actually the need of the user to understand the topic is basically the health benefits this is the attribute someone writing for this specific entity drinking water here is an entity not only water is entity but water is also an entity but drinking water now here is an entity someone searching for health benefits of water which means wherever health benefits being mentioned in a proper format or order are the macro context because that's the main need of the user and micro context is basically about dealing with related search activities of the same user who who's uh who's uh looking for information on health benefits of water dealing with related search activities like if someone searching for like Health benit water might be looking for how many water he should drink a day or what are the cons over water disadvantages over water for example so these are the stuff or the concepts that someone is additionally looking for for after reading on health benefits of water that comes in micro semantics sorry micro context as you can see in table of contents that page is talking about number one health benefit of water number two health benefit of water until 20 which means till here there are 20 health benefits of water and we can safely say that this is the as this is the macro context so this is the main content of this document this is the main content for which user is searching the query and Google is ranking this page if yes then that's good so this is the main content and Main content addresses only the macro context of the topic but where the main content ends there must be a border a contextual border that separates the main and supplementary content from each other and that border question serve as a representative question between Main and micro content Main and supplementary content and it serve as a contextual border to to cover represented information this is the representative version you probably know about representative and represented right if no then I will explain so this basically serving after it's it's a l border how much water should we drink a day then it's starting with benefits of drinking water in the morning so these are the uh subsequent or additional questions someone could have who is searching on health benefit benefits of water so this page has covered that very sophisticated okay so main content and micro supplementary content is the that area and macro context basically a subjective context uh that you have to answer on your page so we'll definitely um uh understand for our topic as well these four methodologies article methodology is simply about telling the writer going to the person who going to work on the content what how to approach the topic which directions to follow which specific instruction you're going to cover and how and aligning with the search objective or the conversion objective for each heading vector or each contextual Vector you actually Define that how to cover this heading and which format which contextual structure which contextual tone which contextual connection which contextual flow which contextual D Direction which contextual connection you have to create here and which context terms you have to use to formulate the information by helping both machines and users so in uh article methodology these are the main components when it comes to article methodology I'll explain them uh right now let me explain contextual flow is basically let me open up my already constructed brief uh to help you sorry drug addiction let me eat guava mhm okay so this topics is mainly about what is drug addiction a definitive gu right it mainly deals with the main entity let me make it a bit Zoom drug addiction here is the main entity it has discussed the main then the main attributes that are coming in the macro context of the document symptoms causes effects not effects so this means that that this um actually signal signaling Google that this page going to discuss these three main attributes and in the same order and these attributes are Rel ated with drug addiction definitely and how users are perceiving this topic their search behaviors coming from their search Behavior not uh based on uh you can say Based On Tools volume or any anything else now the heading level simpl hierarchy we created the taxonomy you can say simply H1 H2 the information is being uh classified or you can say structured in that way then the methodology which is explained exping how the specific heading is covered for example after H1 we generally has we generally have intro and in intro we WR like implied definition of drug addiction then main symptoms main causes main effects main characteristics main treatment methodology which means these are the important vector or the contexts or you can say the attributes of drug addiction we going to cover in their individual headings and it's always a good practice to summarize the whole page heading vectors in the summary so Google if Google is not U willing to spend cost on the page and trying to use predictive ranking for example so Google get the whole picture of the content by just reading the summary and understand what your page is talking about okay so also uh it helps Google if Google is like reading the below part as well it helps Google connect every time the information with the intro summary and gives credit to the content creator that hey this content creator is following a very structured approach and helping machine machine is you can understand machine is like a 5-year-old child I mean don't do anything you have to feed everything like you have to spoon feed everything and like like to a five-year-old like a Toler and you have to explain and you have to use a very basic language like it does that and which helps you achieve that not using very jgun very uh forceful verbs not I mean yeah sometimes important to use forceful verbs to help user um uh relate with with your solution or maybe uh with what you're trying to say but not every time it's necessary so easy to understand language is necessary at at always this is from machine's perspective some context terms as well here like I asked writer to use these context terms that are coming under that are coming in coures okay and uh then we have uh specific question format heading what is drug addiction right after the intro this is where uh we are defining the main entity of the page where we are setting the direction for the macro context through from where the context will flow throughout the page so what we are defining here and I mentioned explicitly like to define the drag addtion in an explicit format in the above you can see we have mentioned implied which means do not use the exact format or just write uh the definition I mean not in that exact pattern or format or the more uh attributes just explain it as a part of intro so or you can say the summary of the definition not the whole definition like in this format so explicit definition once again and then uh I've also mentioned like you can say one more definition of drug addiction according to a study don't use the definitive format for this definition you can see three there are three types of definitions for the same entity uh which is drug addiction one is the summary as uh we are summarizing the whole heading vectors in this introduction so one for that purpose one for the complete definition and let me tell you uh one more thing and uh just let me finish this first and then I will tell you that one definition for exact to rank this uh question the specific purpose for this definition is to rank against this question and then one more definition is basically the topic is related to health or very important uh drug addiction is a very important condition very severe so I've als I've als always mentioned my writer to give a specific definition through some study which shows the expertise that uh this source is basically talking through its expert not just through its opinion expertise but based on uh based on the consensus or the top authoritative sources or the research papers who are who has some kind of agreement okay so one more thing here is uh in our semantic content brief every section has it its own kind of objective to rank uh objective uh in terms of rank as well in terms of conversion as well like we know that which specific section will be ranked with the with with specific heading or with which specific question so we all we all already do the hard work to match the question and answer pair of with the with the like purpose of helping Google and throughout the topical map throughout the spanic content Network there might be a chances that you have the you you are like explaining same thing over and over again so you know already that with specific section you will you will you will want to rank with with what specific question okay so each heading in a Content has some specific type of objective a objective could be winning a feature snipp but an objective could be U triggering or showing up in people also ask objective could be uh you can say a knowledge graph a knowledge panel right so every content I mean the type it it based on the type of the content based on the how headings are structured and how the information is being provided we fulfill that objective so once again this is a Content brief you can maybe probably uh see that later I'm just covering it whole okay so now we are moving to our content so first of all I have to explain the main concept here lexical Authority hacking and query semantics actually query semantics is very important because it's the user ultimately who going to click on your page and to make user click on your page you first have to understand the challenge es the problem of the user why why user is searching this query or why user will search this query on Google not just one query but all the other queries connected with this topic whether the whether with different angles with different perspectives with with different query formats with the different order order of words even in the query so you understand basically which specific uh uh phase the user is coming from and what user is expecting and you understand this through multiple ways first of all you read the top pages first of all you read the queries I mean you read what top pages are talking about I mean and what queries they've been ranking on and what data is available on Google search in terms of queries and definitely I will show you later on so you connect everything which is available on Google in terms of queries query semantics then uh some tools will help you as well like HFS give you the data in bul then you relate that queries with what top pages are ranking you definitely read the top pages I always uh even if I'm am also creating brief I read the top three four pages completely even one Wikipedia page on that topic couple of authoritative sites pages on that topic as well even if they're not ranking on top on that specific phrase so this is my goto practice and once I read all the available information I also uh then connect that either is it satisfying the uh real problem or the real challenge of the user if partially yes then I figure out the ways what are the gaps there and then how I can fulfill that gaps so basically uh in simple words if you the attributes uh basically methodology if you want higher relevance you prioritize unique attributes and if you want uh more you can say consensus or uh classification with the authoritative sources you prior you prioritize root attributes and if you want uh to classify yourself with the authoritative sources or you can say the top page is being ranked you prioritize on Ro root attributes first as I've written here okay so this is the main uh Concepts and The Lex relations are mainly about uh the scientific names or how uh words or con Concepts or contexts are connected with each other uh through dictionaries and they have like you can say the two things here as well like semantic similarity and semantic relevance semantic similarity is basically how two things are close to each other in uh in dictionaries or in General but relevance means if two things even are not uh close to each other they could be relevant as well for example in in uh you can say taxonomy of like animal there there are animal in animals there are like if I write here animals there are like you can say reptiles and in reptiles there is alligator alligator okay and in for example countries there is for example Australia and there is for example Sydney okay so the one tonomy is this and one tonomy is this in semantic similarity these three are very close to each other and again these three are close to each other but when it come to semantic relevance things can relate with each other even if they are not close to each other for example the most dangerous alligators are found in Sydney this is the context that is connecting two main entities as you can see here so it's the relevancy that is connecting two entities together through their shared attributes and which is living basically attribute alligator in Sydney that lives in is very uh dangerous so uh relevance is basically how two things are connected with each other and semantic similarity is basically how two things are close to each other even if they are not relevant uh so for example next thing we're going to cover is Authority hacking so basically uh if I'm starting my brief then I will basically tell that what it actually means to reverse inuring the top competitors or the top Sur pages and uh making more structured information than those uh than those competitor pages okay um I think it's all right so let me start the brief now and and uh before starting the brief I would like to have some research data or information or in simple words data mining or research on the topic this is how I proceed first of all as I mentioned I understand the topic by reading the top pages and most importantly one vik pdia page some Top Authority sources that are already on that specific topic and mainly now collecting the information through multiple sources and that information is basically what type of attributes what type of context what type of query terms what type of verbs what type of nouns what type of adjectives and other currencies and Crums we're going to optimize throughout our content not everything will'll be getting through tools like in the in the form of keywords but we'll be doing our own research and using our brain and to understand the whole story and the whole story behind the users this uh behind this query of the user okay so first of all if I write here there are multiple uh ways we can ex uh extract information for first one is basically search suggestions other one is can say query typ templates other one could be main sub tabs and some more like Ser titles Ser descriptions image tabs and paaa people also ask related searches then competitor one and competitor to and then Authority Source One is great but if you want more then you can maybe add two but I guess one is always a preferable choice you all you should know which specific source s that is Authority on the on the whole topic that on which you are trying to rank for which specific source is that and you always focus on that source and bring more relevance bring more responsiveness in your information so you can outrank that Source after a broad go algorithm update of Google which normally happens after like 6 months one year and also so the main topical Authority maybe you can get that Google completely replace a specific website so it always good to uh basically follow a specific Source uh in terms of information responsiveness and making your content more optimized than that website so let me explain what I've written here and what they have to do and we have to find the context basically and context could could could could could come in in the form of attribute verbs noun adjectives and everything so basically or even simple phrases or Texon or or phrase taxonomies or context terms even but there are multiple sources we have to like find the information so first start with search suggestion I mean first what you do you write here best protein powder and you see what Google is suggesting already just take a screenshot from here like take this go to the your sheets just paste it here and try to break it down accordingly like best protein powder for so there are like nine or 10 I guess 3 6 9 just make it like nine I guess two or three or more yeah 10 one less so write the rest ones here manually for weight loss now what I'm getting I'm getting the query mantics the behavior of the users from Google I think now you are connecting the dots what I was saying previously and there's lot more by the way if you watch till the end I hope you can get some thing new out of this video Reddit I think it's not necessary for men for weight gain and for smoothies I don't know what smoothies mean here diabetes diabetics wow pregnancy okay so these are the actually suggestion Google showing which means people are asking information around these mainly has I written for no it it automatically showing for but if I remove for still all the results have four in the query template which means best is a qualifier basically of this query template yeah this attribute basically you can see the context could be changed based on the attribute you are targeting with your uh main Center main main entity of the page okay so now we have the search suggestions let's move to the query template I mean in when it comes to query template I've have created some query templates by default like uh four into around of versus with in in I have covered I guess um some more could be also there like um and or okay so basically these are the query templates the common ones basically that appears in normal queries of user in any knowledge domain or in specific knowledge domains like in SAS tools mostly people use versus in SAS knowledge domain I mean like like marketing tool like marketing automation tools like HubSpot versus mail anyways uh you have to figure out this query templat for your uh main knowledge domain and if it would be good if you add more okay so what we have to do now we have to find these query templates values for protein powder like we have to write here like this I got all these just the last one I guess it's the new here like weight loss female I think we have mentioned uh woman as well itself and uh weight loss as well so I think it's not necessary to Target these two together we have already covered so four is done now we will write two best protein powder to mix with coffee yeah to lose weight to let me write this as well there might be some not macro context things here but mainly maybe about the micro context we can create around these based on actually it it also depends on your Source context I mean if your Source context is for example selling different uh supplements not just protein powder and uh you mainly maybe focus on the supplements but if your Source context is for example coffee and you are covering a topic like a source context is like you're selling coffee machines or coffee products like beans Etc and uh you are covering a topic like best protein powder to mix with coffee which means people searching for this might also be looking for also looking to purchase coffee so you are relating this with your Source context somehow if you are selling coffee so what you do uh you prioritize the document according to your Source context in that case not every business model who is writing on best protein pow will write in the same way or uh it's not a good approach basically you prioritize information definitely uh first basically the macro context will remain same I mean the need to know of the user will remain same throughout the document uh because you want to classify yourself with the with the with the authorit authoritative sources but the supplementary content will mainly be uh changed around what you offer as a business anyways uh let me write here some good ones are also there best protein powder two and I'll just drag it down further I'll see which is more to lose weight it's done so I don't make it repetition to build muscle is also done muscle gain build muscle same bake width bake width it's also a query template mix with water yeah I mean now I as I'm totally new by the way I'm really honestly saying I'm new to this protein powder I I haven't even written a single content on this topic so I even don't know that which query templates are more uh relevant or important so I cannot read all of the pages at in this video like top 10 and Wikipedia page it might take two to three hours more and I don't want to increase the watch time of my videos but um I will s just you should do this and now I'm telling you the top level approach if you are like new then probably you have to research or double check the information and uh you have you need you must have the product knowledge if you are trying to create brief you must need to get the product knowledge it's very very uh 100% recommended in any case so anyways uh uh mix with water so now based on the query template I assuming that the protein powder is not Tak Chon uh raw the way protein like raw maybe people getting mostly but it also mix with some uh other beverages like coffee or maybe with alcohol as well if I'm not wrong anyways with smoothies as well yeah so now I got why smoothies were there yeah anyways mix with water mix with water add to smooth is done in the First Column a yeah mix with yogurt mix with yogurt yogurt sorry okay to buy so in general I think it's okay let me write to buy here as well so we can cover the bu verb as well as a verb now what I'm doing uh the other query template let me do one more time of the query [Music] template versus would not be applying here because best is all already there best protein powder around best protein powder in I would try let me try it best protein powder in Walmat in the mcet in pregnancy in coffee Amazon Target so now I have to see that if uh the topic is basically the Ecom siter ranking basically because these are the online retailers mostly here like Walmart Amazon Target Target is also and uh online retailer e-commerce not e-commerce a Marketplace anyway e-commerce Marketplace so what I'm trying to see here uh you can see there's a product intent so which means the the retailer names like you can see the stores name uh you can see here are relatable or relevant with protein powder so probably we'll create a specific section or heading around like uh where to buy uh protein powder and then we'll maybe cover these anrs or these vectors through through that section so let me write it down for the later uh later decision whether I should cover these or not it's always necessary to write everything down or and then make use of the information according to your Source content and objective and because if you write everything you are every time you are like increasing your product knowledge and you towards also increasing the topic knowledge to uh and you are approaching towards more I mean uh holistic approach so maybe if you do everything in terms of research and finalize things at the end it it's always good so I always recommend or do that if you know that one thing is in uh irrelevant at in any case then you should remove yourself like uh I removed couple one like uh I don't know I remember the exact one but yeah I removed a couple one here okay um I will write here best protein powder in yeah this is the query template I will next write Walt wall M um what I'm thinking is not covering these I I'm probably getting that I I should not cover these like this phrase tonomy like past you know what phrase taxonomies let me make it clear for you like protein then protein is basically a an entity and phrase basically as well not phase I mean but yeah protein powder this is a phrase so this is a taxonomy now from protein it it has become protein powder now if I write best protein powder this is another phrase and the taxonomy is basically U going from top to bottom and if you write here best protein powder in Walmart yeah so this is a taxonomy we say in simple but you can also say that if you have like uh uh uh uh glasses you write men glasses you write Man glasses face shapes or you write Man glasses types then you write men glasses uh teenager men glasses I mean this is a proper phrase taxonomy I mean you have to follow this approach throughout your content and within your topical map as well so I'm I'm not thinking to cover Walmart like with this phrase tonomy because I'm not uh basically the topic is not uh basically we have to create a specific context or heading for this so probably I will merge all these retailers names into one subheading so I will simply write the their names here Walt Walmart Amazon then Target yeah these three needs to be go in the section I'm going to create so I will not include this but maybe I'll include the locations so this is another query template locations best protein p in I mean if someone searching for best protein poter and uh might not be looking for uh best protein pter in lore or a city they cannot search that they will simply uh if they're like ordering online they will not care about the city they will care about the quality of the product so I again believe that covering these cities in the page is not uh sorry cities or countries in the uh content is not important if you are like just targeting USA your Market is USA then you have to cover that as well only in let me do one more best part check from the quity temperature we have already created for example best protein four is done in is done two is also done around couldn't be maybe make sense best protein powder around let me see if there's anything to cover about this around yeah near me which means not relevant of have we checked this of uh all are done here couldn't be yeah here could be something we can do so I will just write here I will write here for myself basically to focus on ears mention ear at least one time I don't know where uh I have to mention or I ask writer to mention but I'll figure it out when I'm constructing the brief okay so of is done done as well uh let me move to the next part main subtabs main subtabs are basically these tabs Main sub like V protein this is the proper noun someone may be searching in their uh query like best V protein so I will write here V sorry V proein then the next one is plant-based protein plantbased sorry protein next one is under $30 so price is also mention price for each product it's important or for like price is an important attribute of with that coupled with best I mean someone searching for best protein prod might also be looking for price as a consideration so if you understand the search behavior of the of the user you might need to you might uh feel that price needs also be covered on the page someone searching for best okay so under let me write the context here under 30 under do30 uh P protein pea yeah okay then there's mil meal shakes and drinks meal shakes and drinks this is maybe a entity type mhm cassine protein then there is without artificial sweeteners these are the important contexts we have to cover mhm is there anyone uh okay list is very long get it fast soy protein soy protein now I will also group together like V and soy could be grouped together P could also be grouped together casine could also be without artificial sweeteners I mean I mean next I have to group things together and that's the most important and challenging part organic is an adjective or attribute protein next I have hair skin and Nails basically the benefit of maybe probably we'll cover these three in the benefits skin and Nails yeah so protein helps you to grow hairs maybe something to do with skin as well I don't know Nails as well so yeah glutenfree as you can see without artfield sweeteners it can be grouped together like glutenfree in this type of uh I mean information sequence not maybe in the page but in just grouping or classifying the information what I'm researching right now gluten glutenfree protein uh yeah K keto keto okay I will see what engram or what combination I have to try with keto maybe keto protein or keto diet or best protein for Keto or uh in maybe in the benefits probably I have to see what so every time if you miss this every time when I have to cover a specific context I have to double check that in what relationship I or which relationship I can create for a specific context with my macro context or with my context because two things can be connected with each other through multiple ways multiple relationships can occurred between two entities so you have to figure out which relationship you have to cover in your page by connecting and which definitely makes more sense so you have to do double check this later and I have a specific formula for that as well low cab these are just the context coming into my sheet then I will see how to connect lcab with my topic maybe uh like lcab protein powder or maybe best protein powder to low your cob I actually don't know anything about it yet so I'll just pass it down okay so main subtab there are like now subtitles subtitles are simply starting from here or even you can start from these transparent lab 100% grassfed way Protein Isolate two lbs milk chocolate so I would also add a couple more entity types like flavor needs to be mentioned one more thing like lbs is about the quantity quantity I'm just writing the main attributes here that I have to cover somehow maybe for each product I'm uh I'm offering or maybe in any context okay so next this is what I'm getting from here 100% grassfed it means something coming from organic uh as like you can see we have covered this attributes so coming maybe these could be connected with each other like 100% organic 100% grass fat okay V isolate I don't know what isolate means let me check what is an isolate isolate cause a person to be okay protein a protein isolate is a type of protein product that has undergo more processing than a concentrate okay processing Protein Isolate invols separating and collecting the purest protein fractions the additional PR helps isolate the protein that you want separating it from the ah I got it now the natural proteins are isolated ones I guess because they have they been or grouped combined with other things as well so they've been isolated they've been segregated or separated and then they've been sold [Music] separately okay then then I have like impact way isolate so isolate way protein is one important thing definitely but we isolate this is the nram I have to Target ve protein as well way I should probably I'll combine everything together what about if I combine everything together just I'll combine query template like this or maybe at the end of this yeah at the end of this I'll combine it would be good because I just want to fill that the tabs more quickly um we we isolate then we have chocolate so I've covered the flavored ones but now I will write the value chocolate is very popular as you can see here as you can see here so I have to cover this specific uh flavor in my content to classify myself with the behavior as well and with the consensus providing unique information is not necessary always I mean it's necessary but having the required information that someone is looking for is always good option so chocolate way protein or isolate so chocolate is uh chocolate brownie milk chocolate chocolate brownie I mean I will just write the chocolate the main theme is chocolate so I will see for which it will be coupled with then I have gaaa a brand name probably allinone daily super Bland meal replacement shake protein and vanilla vanilla is another flavor and one more concept or the context I got Shake I will write wave protein or I will just write protein shake here yeah for now okay then I have Optimum nut uh Optimum Nutrition gold standard 100% we protein double rich chocolate 74 serving yeah servings is also uh Main entity type or the attribute of V protein I have to cover as well yeah now moving to the next one what about if we see these as well like filter byy price I've covered price I can see in my sheet uh I've have covered price I know no I mentioned price yeah this one this one yeah okay so these are some distributions probably I'll also copy them and I will uh I will maybe explain them in a paragraph here I where I'm explaining the price and the main price I don't know was under 30 is there under 13 under 30 now I'm grouping already you can see here okay category yeah this is what I was thinking before let me copy them me pass them through a software extension and then let me write here like this V protein these are the categories I mean these are the main nouns we have to focus on not just proteins but these engrams as well yeah okay stores I've covered wmat Target 16 more stores as well probably I will not cover everyone I'll just maybe cover a store entity entity type store or um platform not platform store is fine here because they're selling directly these are the main features I believe yeah so I will just make it like this remove the links and these are the features let me make it this color these are the features these are the main categories okay these are the names of onl r colors just making them different with different colors probably I'll combine them later these are the top attributes so yeah attributes are as well more there in the in the sheet as well so I'll combine attributes later on and flavors as well like vanilla chocolate maybe casin probably don't know is a flavor or what uh let me see okay the soy is covered here and so is repeating I will remove from here all also p is also repeating I'll also under 30 is come in already cing coming in here probably remove that as well uh plant-based keto okay now I'm doing okay is there anything left uh Brands optimal yeah these are top brands so I will cover maybe an type here as well like Brands uh I will maybe probably create a separate heading Vector for this context like what are the top brands of protein powder what are the top protein powder Brands and also what are the top uh protein powder uh stores I mean just I will find a way to connect my attribute or context um um attribute with this specific uh context and make another context and sh the context accordingly so benefit benefits as well I will make very important attributes benefits okay then there are two main benefits uh hair skin nails Bone and Joint sport I will also uh copy the name here and probably I will do this and the other one which I just wrote above this one I will copy it as well I'll just as it's coming above so I will put it here I'll delete it from here so yeah flavor I've covered flavor yeah so what I will do now I will put them under here and and now what I do I also try to follow the same order here first is features then brand then benefit then flavor so flavor is at the end why I don't know but I'm just Mimi uh mimicing or imitating the Google uh because Google has done a lot of testing and that's why Google has figured out that hey this is the specific order I have to follow for showing the attributes and this is the very very biggest I mean the topic if I'm not wrong I don't I haven't even checked the volume I'm just thinking and doing everything in front of you manually and randomly okay so flavor is uh flavor needs to go at the end so I will copy it and move it to end uh last is Flavor then there is benefit on the top then there is brand as I can see and above brand there are features and features are yeah have I got it features uh uh I think yes yeah these are the features I will just maybe copy them or cut them put them be before Brands uh like this features features is more important than brand attribute people do not care maybe about brand more they care about more more about features like organic protein this is the main concern probably not about a brand specific just uh explaining based on my gut feeling right now as I'm not expert on this topic so this is a good disclaimer to have so features and above feature there are uh stores so probably uh yeah there are stores then above stores there is uh category and category we have written here way and yeah what I will do now I will above store there is category I can see once again yeah category and under category I will place them like this okay cool then above category I have price price is the main factor quantity serving is basically basically I've get the information from these but let me imitate what Google has to do price and quantity I will again uh sorry quantity serving I will push above maybe or maybe down we see that later quantity and serving and the stores these are the online retailers I mean stores and retailers uh sorry Brands and stores are to different so if I've written store here I will just copy them right here I will just push them here probably I'll maybe get all these store names and I will see uh which store has like more popularity or being more suchar demand sorry I just mistaken click on that I'll just sorry I'll just copy L them I'll just uh maybe after which I've sorted out like this now I will maybe change the order as well and later on anyways I'll now remove these two things quantity serving me put it here for now and these are the attributes by the way and organic protein have we covered it I think yes yeah in category we have covered organic uh I'll remove it from here casine let me check it is it being duplicated no uh plant base is yes I guess is being duplicated you can see here okay plant paste way protein meal shakes okay gluten flea probably also be covered below yeah you can see now you can relate that why Google was showing all these here as these are coming from probably most of the coming from these and from these list and Google showing them here for the ease of user so it was good that if we copy all these in the first place but anyways we find some unique as well like keto probably not there let me find is there okay my bad but these tabs help us anyway to casing is there or not okay yeah this one we only get from Main subtab which means every section has its own signifance we cannot ignore any specific section and focus on anymore so okay sub description is basically

hi everyone this is Muhammad Hamed Khan and today I&#39;m back with another practical tutorial on semantic SEO so I&#39;ve been producing some good content on semantic SEO on my YouTube channel and covering topics like how to achieve topical Authority stairs by building topical maps from scratch some semantic Su components and some in-depth guides as well like how btic SEO differs from traditional SEO so I&#39;m really happy that you guys are finding my content useful and that&#39;s why I&#39;m here and creating another exciting tutorial on semantic SEO this time I&#39;m going to cover a very important component of semantic SEO which I&#39;ve seen people facing hard times and difficulties making that component right and that component is semantic content prove exactly I&#39;m going to cover my practical step-by-step approach of creating semantic content brief for any any topic based on cores methodologies and other semantic s Frameworks so this going to be a very lengthy video probably jump up to uh two hours or three hours I don&#39;t know because I just started recording this video and my goal is to make this video very transparent and clear for you guys to understand the step-by-step approach or the methodology or the strategies I&#39;ve been following for creating content briefs and uh I hope you will like this tutorial just plug in your headphones sit back and relax and uh see you in the Practical part [Music] bye all right so welcome to the Practical part and in just a few minutes I&#39;m going to create a real semantic content brief based on uh semantic ass methodologies so before moving forward uh if you are new to my YouTube channel I&#39;ve just started a channel and uh I posted bunch of videos uh helpful videos on semantics by the way some are very practical some are some beginner level Concepts I mean how it differs from traditional SE and some master class sessions as well so my main focus is to cover uh upcoming videos in English now because mainly uh the concepts methodologies are easy to explain in in English as compared to the Udu and Hindi language so uh definitely would love to create more content so you can see uh my channel and you can watch some videos and maybe get some idea how semantic is working and how you could benefit from it and uh do let me know what you think about my channel and also what type of videos you want me to create in future and just uh my LinkedIn is also active and uh I&#39;ve been producing some content here as well um the workflows my favorite workflows have some created on Myro some created with just a pen like the paper pen combination which I mostly like and uh again let me know what type of content and in in which form you would like me to create further Facebook is also very active and uh once again thank you for watching my video and just drop your feedback in the comment section see you in the Practical part okay so today uh right now I&#39;m going to create a practical uh semantic content brief and uh I like created more than I mean if if I&#39;m not wrong more than 500 to 1,000 briefs and still it&#39;s like weekly we create 20 to 30 briefs for multiple clients for my own portfolio websites and uh we have mastered this process and uh uh you can maybe replicate the same process I&#39;ve been following and improve it definitely so let me open the Google Sheets and uh also I would like to choose a random topic so let&#39;s pick a topic for example best what about best protein powder and I would like to rank this topic in United States and for geoc code I&#39;ll put Los Angeles I&#39;ll just hit the search button and we&#39;ll see what type of contents are already ranking there the search intent the overall research we&#39;re going to start from here so I can clearly see the product is dominant here like protein PO is here is a product and best is the attribute I mean for protein powder entity someone searching means looking to purchase or looking to uh you can say is more likely to purchase in the decision stage he is in so the type of pages organic reserves this is our main target as you guys know so we can see that aysal is ranking on the number one and 11 best fa protein powders according to I don&#39;t know what the title is okay but uh the next one okay the next one has a different angle how to choose the best protein powder so this one has clearly mentioned the best protein way Po in it title the clear expectation of the user it has clearly answered that the direct thing that user wanted to see the best way protein powder 11 best but it has uh the title is totally different like how to choose the best protein powder so anyways we&#39;ll dive into these surp analysis a bit later but let me formulate this Google sheet and uh introduce you the Core Concepts on which our semantic brief going to going to build on so first all let me make it like brief and then I would make it like best protein powder okay I will make it like brief or you can say methodology make sense so now I will uh construct the uh the column names first of all it would be headings me make it a bit bigger make it like proper format it pull make it yellow headings then headings here Arch key or simply or simply you can write hierarchy I guess that&#39;s more convenient then you can write here some more things methodology some more here like anchor text and some rules if you want to create for this brief for the writers basically I&#39;ve uh I have lot of rules for the writers and I&#39;ve shared with them but for for a brief there are some specific rules as well like here for this brief some rules are like common or you can say generic that apply to every brief for example definition format how to answer a definition we have a set of rules we follow a specific format like we start with um we start with a very uh basic thing like first is X is like for example what is coffee so we&#39;ll start like coffee is a we&#39;ll use that modality and then we use uh classification I mean entity type like coffee is a beverage beverage is the entity type so this is how we formulate our definition and then we write the unique attribute of the entity like uh like the same attribute is basically the same class or the same entity types but a specific entity has a unique attribute but not all other entities in the same class or in the same entity type has that kind of attribute I mean buj Khalifa is the unique attribute of Dubai um and you can say there are like three types of attribute let me write here uh we&#39;ll I&#39;ll let me create uh another tab of foundation or you can say intro whatever makes sense more I&#39;ll drag it to the top and uh now let me uh write here some Concepts like for example you first I have to understand the three main types of attributes here actually there are I mean more than 30 40 types of attributes depending upon the need you are trying to cover and uh whether you&#39;re finalizing topical map right uh the topical map finalized based on different types of attributes whether you writing content different types of attributes being used and in semantic content brief also the attributes have some has very important thing to do with your approach and methodology so first of all three types of attributes I would let me make the sheet a bit Zoom like this okay three types of attributes you have to focus on this first one is root attributes uh then unique attributes then rare attributes so root attributes are basically the attribute that um that appears in the in all the entities in the same entity type for example if entity type is vehicle and all the vehicles like car like you can say other vehicles like U other type of vehicles like truck like bus they all have same attribute for example tire tire is a root attribute of vehicle entity type make sense so car so uh tire is uh basically root attribute of vehicle entity type okay so one more attribute we can discuss here unique attribute unique attributes are those attributes that only appears in that specific entity in but not in any other entities in the same entity type or same entity class as I mentioned uh for example BR kifa as I mentioned is a unique attribute of Dubai uh Eiffel to you can say is the unique attribute of par Paris if we say Eiffel to it implied it automatically means that we are talking about Paris so unique attributes are those rare attributes are actually those who are very uh uncommon in any uh entity in the same entity type for example Museum in museum is a like you can say a rare attribute because it not every city has a museum right so it&#39;s a rare attribute all you can also say that uh some more attributes like like like like Parks Parks rare root attribute or you can say that [Music] uh like parliament of office right because Parliament office uh or courts you can say not every city has its own court maybe you can say that as well so I guess you get the foundation for the attributes now let me move towards again I always in my lectures mentioned that you have to learn and these things I mean you cannot master in a in a in a single day or after watching a set of videos you have to experience them you have to learn I mean for every topic this thing change right for every topic and it&#39;s a very Dynamic thing query semantics as you can see in my uh background is also talking about understanding the context of the query understanding the meaning of the query the query definition the query aspect how query is being processed how query is being passed by machines and also in query processing there are some other Concepts as well okay so queries semantics one more thing we will explain lexical relations or you can say lexical semantics and one thing I would also add here Authority hacking or let me make it more like distributional semantics like you can say our brief will mainly be in uh evolved d uh around these three Core Concepts and I will practically show you don&#39;t worry also some more Concepts like representative questions repented question some more Concepts like Boolean question and some main uh you can say the glossery of semantic content brief I mean in simple words let me uh explain here glossery of uh semantic content brief I mean first of all you have to understand that first start with contextual vector then we start with contextual hierarchy uhhuh let me check the spell uh if I&#39;ve written the right or not okay cool some more Concepts like contextual parters contextual Bridges some more Concepts like uh let me write it right in article methodology methodology we have contextual flow contextual [Music] Direction uh format some more things like contextual connection tonality of the cont and and uh also uh every time I also give context terms and all things actually could become a contextual structure in simple words and in contextual structure we could have uh like phrase tonomy uh taxonomies and also phrase sequences these are I mean some of the important things we can say and uh yeah exactly and also you have to one more thing you have to understand in the foundation let me make this here Clos threee some Foundation Concepts Concepts and make it like uh here like this and sorry uhhuh all right one more thing which is the main thing we&#39;re going to discuss question generation and in question generation we&#39;re going to first discuss about uh how Google generates question and match questions and make or you can say match those questions with answers in simple word we can also say that question answer pair yeah so question generation we have to understand after understanding the common thing which Google do normally Google does normally and uh uh we&#39;re going to start it right now just I&#39;m opening up my sheet [Music] and this one okay so first of all let me briefly explain about these things contextual Vector first of all contextual Vector I mean mostly people are confused and uh it&#39;s a very technical concept but let me explain you in a simple word it&#39;s actually coming from Google patents and a vector could be a very uh for a unique term right a unique context that could be a vector and uh for for a unique term you can say there could be uh multiple variation to explain uh to to write down a same con context right I mean so every unique term has its own kind of vocabulary and own kind of vocabulary that could maybe group together and they ultim ultimately make a vector right so vectors are basically first uh before understanding vectors you have to understand the word to Vector model which is actually used by machines most of the machines like Google as well to calculate and determines or understand the relevancy of a document and worldto approach basically uh from a machine perspective machine actually reads your content and converts or embed that content into vectors and that&#39;s very important for machine to understand the context connections the relationships with the information the meanings throughout the content the flow of the information initely and everything and then connects with the users queries right so Google&#39;s uh or machine basically understand your cont content from top to bottom approach then bottom to top approach again like first understand your title slug URL your H1 your summary the anram you have used there it actually understand what you&#39;re talking about and then how overall information is being connected with the context the main theme which is in semantic we called m macro context and one more thing I would like to hear macro context and micro context let me make it like this and I probably hope that you understand uh One More Concept which is macro semantics and micro semantics yeah okay so Google uh use word to V uh model to understand the determine the relevancy of a document so we in in it&#39;s it&#39;s a uh concept coming from Google Patent so we say that like we create heading vectors here which means we are giving Google is definitely converting each heading into its own Vector with set of vocabulary terms and connect those information together and form a macro context and to understand the overall relationships of the entities linked together through their shared attributes the ontologies the texies so everything happens after uh embedding information into vectors format so that&#39;s why we say contextual Vector to make things very relatable with Google&#39;s own patent knowledge uh patent uh uh knowledge or research papers so let me start one by one I&#39;ll just explain in a couple of minutes macros semantics basically deals with the top level components I mean why it&#39;s important to understand these Concepts to help you understand the semantic content Brave methodology so we create like topical Maps we basically uh finalize the uh context we&#39;re going to cover that their main H1s their main titles and their main met description and the other components like image um all tag or image title image URL so these components that Google Sees in the first place and the HTML components that help Google understand the macro level uh understanding of a page or or of a website or even a specific section that actually a macr semantics whole field is macros semantics um you can say the sitewide andrs like which specific words one word two word three word four words are being used throughout the site like the engrams this kind of study could also come in macros semantics then we have micros semantics micros semantics deals with teeny optimization even if you changing a sentence structure if you putting a full stop at the end of a sentence or even you&#39;re just capitalizing the content it&#39;s totally whatever you&#39;re doing in the content a stey optimization in the content configurations that we refer to micro micro semantics so semantic content brief basically is a part of micr semantics that&#39;s why I have to explain this concept here so we understand contextual vecture as well like the goal is to create maximum unique and uh uh accurate and also meaningful contextual Vector with some connections hierarchy uh by forming a whole meaning of the information we&#39;re trying to provide and helping machine and user at the same time to understand what we are talking about contextual hierarchy simply the H1 H2 the in which hierarchy the information is being flow uh flowing borders I will explain it bit later contextual is borders are basically uh how where macro and micro contexts are being separated or in simple words where main content is being added and and supplementary content is being started let me give you a very uh quick uh very quick example here to understand you these four Concepts in a in a very quick way the four Concepts means macro sorry um macro context micro context main content and supplementary content these four concept I will help you understand in a very very very quick way so for example the topic for this page is this is by the way cor&#39;s website the topic for this page is 20 health benefits of water which means the macro context is actually the need of the user to understand the topic is basically the health benefits this is the attribute someone writing for this specific entity drinking water here is an entity not only water is entity but water is also an entity but drinking water now here is an entity someone searching for health benefits of water which means wherever health benefits being mentioned in a proper format or order are the macro context because that&#39;s the main need of the user and micro context is basically about dealing with related search activities of the same user who who&#39;s uh who&#39;s uh looking for information on health benefits of water dealing with related search activities like if someone searching for like Health benit water might be looking for how many water he should drink a day or what are the cons over water disadvantages over water for example so these are the stuff or the concepts that someone is additionally looking for for after reading on health benefits of water that comes in micro semantics sorry micro context as you can see in table of contents that page is talking about number one health benefit of water number two health benefit of water until 20 which means till here there are 20 health benefits of water and we can safely say that this is the as this is the macro context so this is the main content of this document this is the main content for which user is searching the query and Google is ranking this page if yes then that&#39;s good so this is the main content and Main content addresses only the macro context of the topic but where the main content ends there must be a border a contextual border that separates the main and supplementary content from each other and that border question serve as a representative question between Main and micro content Main and supplementary content and it serve as a contextual border to to cover represented information this is the representative version you probably know about representative and represented right if no then I will explain so this basically serving after it&#39;s it&#39;s a l border how much water should we drink a day then it&#39;s starting with benefits of drinking water in the morning so these are the uh subsequent or additional questions someone could have who is searching on health benefit benefits of water so this page has covered that very sophisticated okay so main content and micro supplementary content is the that area and macro context basically a subjective context uh that you have to answer on your page so we&#39;ll definitely um uh understand for our topic as well these four methodologies article methodology is simply about telling the writer going to the person who going to work on the content what how to approach the topic which directions to follow which specific instruction you&#39;re going to cover and how and aligning with the search objective or the conversion objective for each heading vector or each contextual Vector you actually Define that how to cover this heading and which format which contextual structure which contextual tone which contextual connection which contextual flow which contextual D Direction which contextual connection you have to create here and which context terms you have to use to formulate the information by helping both machines and users so in uh article methodology these are the main components when it comes to article methodology I&#39;ll explain them uh right now let me explain contextual flow is basically let me open up my already constructed brief uh to help you sorry drug addiction let me eat guava mhm okay so this topics is mainly about what is drug addiction a definitive gu right it mainly deals with the main entity let me make it a bit Zoom drug addiction here is the main entity it has discussed the main then the main attributes that are coming in the macro context of the document symptoms causes effects not effects so this means that that this um actually signal signaling Google that this page going to discuss these three main attributes and in the same order and these attributes are Rel ated with drug addiction definitely and how users are perceiving this topic their search behaviors coming from their search Behavior not uh based on uh you can say Based On Tools volume or any anything else now the heading level simpl hierarchy we created the taxonomy you can say simply H1 H2 the information is being uh classified or you can say structured in that way then the methodology which is explained exping how the specific heading is covered for example after H1 we generally has we generally have intro and in intro we WR like implied definition of drug addiction then main symptoms main causes main effects main characteristics main treatment methodology which means these are the important vector or the contexts or you can say the attributes of drug addiction we going to cover in their individual headings and it&#39;s always a good practice to summarize the whole page heading vectors in the summary so Google if Google is not U willing to spend cost on the page and trying to use predictive ranking for example so Google get the whole picture of the content by just reading the summary and understand what your page is talking about okay so also uh it helps Google if Google is like reading the below part as well it helps Google connect every time the information with the intro summary and gives credit to the content creator that hey this content creator is following a very structured approach and helping machine machine is you can understand machine is like a 5-year-old child I mean don&#39;t do anything you have to feed everything like you have to spoon feed everything and like like to a five-year-old like a Toler and you have to explain and you have to use a very basic language like it does that and which helps you achieve that not using very jgun very uh forceful verbs not I mean yeah sometimes important to use forceful verbs to help user um uh relate with with your solution or maybe uh with what you&#39;re trying to say but not every time it&#39;s necessary so easy to understand language is necessary at at always this is from machine&#39;s perspective some context terms as well here like I asked writer to use these context terms that are coming under that are coming in coures okay and uh then we have uh specific question format heading what is drug addiction right after the intro this is where uh we are defining the main entity of the page where we are setting the direction for the macro context through from where the context will flow throughout the page so what we are defining here and I mentioned explicitly like to define the drag addtion in an explicit format in the above you can see we have mentioned implied which means do not use the exact format or just write uh the definition I mean not in that exact pattern or format or the more uh attributes just explain it as a part of intro so or you can say the summary of the definition not the whole definition like in this format so explicit definition once again and then uh I&#39;ve also mentioned like you can say one more definition of drug addiction according to a study don&#39;t use the definitive format for this definition you can see three there are three types of definitions for the same entity uh which is drug addiction one is the summary as uh we are summarizing the whole heading vectors in this introduction so one for that purpose one for the complete definition and let me tell you uh one more thing and uh just let me finish this first and then I will tell you that one definition for exact to rank this uh question the specific purpose for this definition is to rank against this question and then one more definition is basically the topic is related to health or very important uh drug addiction is a very important condition very severe so I&#39;ve als I&#39;ve als always mentioned my writer to give a specific definition through some study which shows the expertise that uh this source is basically talking through its expert not just through its opinion expertise but based on uh based on the consensus or the top authoritative sources or the research papers who are who has some kind of agreement okay so one more thing here is uh in our semantic content brief every section has it its own kind of objective to rank uh objective uh in terms of rank as well in terms of conversion as well like we know that which specific section will be ranked with the with with specific heading or with which specific question so we all we all already do the hard work to match the question and answer pair of with the with the like purpose of helping Google and throughout the topical map throughout the spanic content Network there might be a chances that you have the you you are like explaining same thing over and over again so you know already that with specific section you will you will you will want to rank with with what specific question okay so each heading in a Content has some specific type of objective a objective could be winning a feature snipp but an objective could be U triggering or showing up in people also ask objective could be uh you can say a knowledge graph a knowledge panel right so every content I mean the type it it based on the type of the content based on the how headings are structured and how the information is being provided we fulfill that objective so once again this is a Content brief you can maybe probably uh see that later I&#39;m just covering it whole okay so now we are moving to our content so first of all I have to explain the main concept here lexical Authority hacking and query semantics actually query semantics is very important because it&#39;s the user ultimately who going to click on your page and to make user click on your page you first have to understand the challenge es the problem of the user why why user is searching this query or why user will search this query on Google not just one query but all the other queries connected with this topic whether the whether with different angles with different perspectives with with different query formats with the different order order of words even in the query so you understand basically which specific uh uh phase the user is coming from and what user is expecting and you understand this through multiple ways first of all you read the top pages first of all you read the queries I mean you read what top pages are talking about I mean and what queries they&#39;ve been ranking on and what data is available on Google search in terms of queries and definitely I will show you later on so you connect everything which is available on Google in terms of queries query semantics then uh some tools will help you as well like HFS give you the data in bul then you relate that queries with what top pages are ranking you definitely read the top pages I always uh even if I&#39;m am also creating brief I read the top three four pages completely even one Wikipedia page on that topic couple of authoritative sites pages on that topic as well even if they&#39;re not ranking on top on that specific phrase so this is my goto practice and once I read all the available information I also uh then connect that either is it satisfying the uh real problem or the real challenge of the user if partially yes then I figure out the ways what are the gaps there and then how I can fulfill that gaps so basically uh in simple words if you the attributes uh basically methodology if you want higher relevance you prioritize unique attributes and if you want uh more you can say consensus or uh classification with the authoritative sources you prior you prioritize root attributes and if you want uh to classify yourself with the authoritative sources or you can say the top page is being ranked you prioritize on Ro root attributes first as I&#39;ve written here okay so this is the main uh Concepts and The Lex relations are mainly about uh the scientific names or how uh words or con Concepts or contexts are connected with each other uh through dictionaries and they have like you can say the two things here as well like semantic similarity and semantic relevance semantic similarity is basically how two things are close to each other in uh in dictionaries or in General but relevance means if two things even are not uh close to each other they could be relevant as well for example in in uh you can say taxonomy of like animal there there are animal in animals there are like if I write here animals there are like you can say reptiles and in reptiles there is alligator alligator okay and in for example countries there is for example Australia and there is for example Sydney okay so the one tonomy is this and one tonomy is this in semantic similarity these three are very close to each other and again these three are close to each other but when it come to semantic relevance things can relate with each other even if they are not close to each other for example the most dangerous alligators are found in Sydney this is the context that is connecting two main entities as you can see here so it&#39;s the relevancy that is connecting two entities together through their shared attributes and which is living basically attribute alligator in Sydney that lives in is very uh dangerous so uh relevance is basically how two things are connected with each other and semantic similarity is basically how two things are close to each other even if they are not relevant uh so for example next thing we&#39;re going to cover is Authority hacking so basically uh if I&#39;m starting my brief then I will basically tell that what it actually means to reverse inuring the top competitors or the top Sur pages and uh making more structured information than those uh than those competitor pages okay um I think it&#39;s all right so let me start the brief now and and uh before starting the brief I would like to have some research data or information or in simple words data mining or research on the topic this is how I proceed first of all as I mentioned I understand the topic by reading the top pages and most importantly one vik pdia page some Top Authority sources that are already on that specific topic and mainly now collecting the information through multiple sources and that information is basically what type of attributes what type of context what type of query terms what type of verbs what type of nouns what type of adjectives and other currencies and Crums we&#39;re going to optimize throughout our content not everything will&#39;ll be getting through tools like in the in the form of keywords but we&#39;ll be doing our own research and using our brain and to understand the whole story and the whole story behind the users this uh behind this query of the user okay so first of all if I write here there are multiple uh ways we can ex uh extract information for first one is basically search suggestions other one is can say query typ templates other one could be main sub tabs and some more like Ser titles Ser descriptions image tabs and paaa people also ask related searches then competitor one and competitor to and then Authority Source One is great but if you want more then you can maybe add two but I guess one is always a preferable choice you all you should know which specific source s that is Authority on the on the whole topic that on which you are trying to rank for which specific source is that and you always focus on that source and bring more relevance bring more responsiveness in your information so you can outrank that Source after a broad go algorithm update of Google which normally happens after like 6 months one year and also so the main topical Authority maybe you can get that Google completely replace a specific website so it always good to uh basically follow a specific Source uh in terms of information responsiveness and making your content more optimized than that website so let me explain what I&#39;ve written here and what they have to do and we have to find the context basically and context could could could could could come in in the form of attribute verbs noun adjectives and everything so basically or even simple phrases or Texon or or phrase taxonomies or context terms even but there are multiple sources we have to like find the information so first start with search suggestion I mean first what you do you write here best protein powder and you see what Google is suggesting already just take a screenshot from here like take this go to the your sheets just paste it here and try to break it down accordingly like best protein powder for so there are like nine or 10 I guess 3 6 9 just make it like nine I guess two or three or more yeah 10 one less so write the rest ones here manually for weight loss now what I&#39;m getting I&#39;m getting the query mantics the behavior of the users from Google I think now you are connecting the dots what I was saying previously and there&#39;s lot more by the way if you watch till the end I hope you can get some thing new out of this video Reddit I think it&#39;s not necessary for men for weight gain and for smoothies I don&#39;t know what smoothies mean here diabetes diabetics wow pregnancy okay so these are the actually suggestion Google showing which means people are asking information around these mainly has I written for no it it automatically showing for but if I remove for still all the results have four in the query template which means best is a qualifier basically of this query template yeah this attribute basically you can see the context could be changed based on the attribute you are targeting with your uh main Center main main entity of the page okay so now we have the search suggestions let&#39;s move to the query template I mean in when it comes to query template I&#39;ve have created some query templates by default like uh four into around of versus with in in I have covered I guess um some more could be also there like um and or okay so basically these are the query templates the common ones basically that appears in normal queries of user in any knowledge domain or in specific knowledge domains like in SAS tools mostly people use versus in SAS knowledge domain I mean like like marketing tool like marketing automation tools like HubSpot versus mail anyways uh you have to figure out this query templat for your uh main knowledge domain and if it would be good if you add more okay so what we have to do now we have to find these query templates values for protein powder like we have to write here like this I got all these just the last one I guess it&#39;s the new here like weight loss female I think we have mentioned uh woman as well itself and uh weight loss as well so I think it&#39;s not necessary to Target these two together we have already covered so four is done now we will write two best protein powder to mix with coffee yeah to lose weight to let me write this as well there might be some not macro context things here but mainly maybe about the micro context we can create around these based on actually it it also depends on your Source context I mean if your Source context is for example selling different uh supplements not just protein powder and uh you mainly maybe focus on the supplements but if your Source context is for example coffee and you are covering a topic like a source context is like you&#39;re selling coffee machines or coffee products like beans Etc and uh you are covering a topic like best protein powder to mix with coffee which means people searching for this might also be looking for also looking to purchase coffee so you are relating this with your Source context somehow if you are selling coffee so what you do uh you prioritize the document according to your Source context in that case not every business model who is writing on best protein pow will write in the same way or uh it&#39;s not a good approach basically you prioritize information definitely uh first basically the macro context will remain same I mean the need to know of the user will remain same throughout the document uh because you want to classify yourself with the with the with the authorit authoritative sources but the supplementary content will mainly be uh changed around what you offer as a business anyways uh let me write here some good ones are also there best protein powder two and I&#39;ll just drag it down further I&#39;ll see which is more to lose weight it&#39;s done so I don&#39;t make it repetition to build muscle is also done muscle gain build muscle same bake width bake width it&#39;s also a query template mix with water yeah I mean now I as I&#39;m totally new by the way I&#39;m really honestly saying I&#39;m new to this protein powder I I haven&#39;t even written a single content on this topic so I even don&#39;t know that which query templates are more uh relevant or important so I cannot read all of the pages at in this video like top 10 and Wikipedia page it might take two to three hours more and I don&#39;t want to increase the watch time of my videos but um I will s just you should do this and now I&#39;m telling you the top level approach if you are like new then probably you have to research or double check the information and uh you have you need you must have the product knowledge if you are trying to create brief you must need to get the product knowledge it&#39;s very very uh 100% recommended in any case so anyways uh uh mix with water so now based on the query template I assuming that the protein powder is not Tak Chon uh raw the way protein like raw maybe people getting mostly but it also mix with some uh other beverages like coffee or maybe with alcohol as well if I&#39;m not wrong anyways with smoothies as well yeah so now I got why smoothies were there yeah anyways mix with water mix with water add to smooth is done in the First Column a yeah mix with yogurt mix with yogurt yogurt sorry okay to buy so in general I think it&#39;s okay let me write to buy here as well so we can cover the bu verb as well as a verb now what I&#39;m doing uh the other query template let me do one more time of the query [Music] template versus would not be applying here because best is all already there best protein powder around best protein powder in I would try let me try it best protein powder in Walmat in the mcet in pregnancy in coffee Amazon Target so now I have to see that if uh the topic is basically the Ecom siter ranking basically because these are the online retailers mostly here like Walmart Amazon Target Target is also and uh online retailer e-commerce not e-commerce a Marketplace anyway e-commerce Marketplace so what I&#39;m trying to see here uh you can see there&#39;s a product intent so which means the the retailer names like you can see the stores name uh you can see here are relatable or relevant with protein powder so probably we&#39;ll create a specific section or heading around like uh where to buy uh protein powder and then we&#39;ll maybe cover these anrs or these vectors through through that section so let me write it down for the later uh later decision whether I should cover these or not it&#39;s always necessary to write everything down or and then make use of the information according to your Source content and objective and because if you write everything you are every time you are like increasing your product knowledge and you towards also increasing the topic knowledge to uh and you are approaching towards more I mean uh holistic approach so maybe if you do everything in terms of research and finalize things at the end it it&#39;s always good so I always recommend or do that if you know that one thing is in uh irrelevant at in any case then you should remove yourself like uh I removed couple one like uh I don&#39;t know I remember the exact one but yeah I removed a couple one here okay um I will write here best protein powder in yeah this is the query template I will next write Walt wall M um what I&#39;m thinking is not covering these I I&#39;m probably getting that I I should not cover these like this phrase tonomy like past you know what phrase taxonomies let me make it clear for you like protein then protein is basically a an entity and phrase basically as well not phase I mean but yeah protein powder this is a phrase so this is a taxonomy now from protein it it has become protein powder now if I write best protein powder this is another phrase and the taxonomy is basically U going from top to bottom and if you write here best protein powder in Walmart yeah so this is a taxonomy we say in simple but you can also say that if you have like uh uh uh uh glasses you write men glasses you write Man glasses face shapes or you write Man glasses types then you write men glasses uh teenager men glasses I mean this is a proper phrase taxonomy I mean you have to follow this approach throughout your content and within your topical map as well so I&#39;m I&#39;m not thinking to cover Walmart like with this phrase tonomy because I&#39;m not uh basically the topic is not uh basically we have to create a specific context or heading for this so probably I will merge all these retailers names into one subheading so I will simply write the their names here Walt Walmart Amazon then Target yeah these three needs to be go in the section I&#39;m going to create so I will not include this but maybe I&#39;ll include the locations so this is another query template locations best protein p in I mean if someone searching for best protein poter and uh might not be looking for uh best protein pter in lore or a city they cannot search that they will simply uh if they&#39;re like ordering online they will not care about the city they will care about the quality of the product so I again believe that covering these cities in the page is not uh sorry cities or countries in the uh content is not important if you are like just targeting USA your Market is USA then you have to cover that as well only in let me do one more best part check from the quity temperature we have already created for example best protein four is done in is done two is also done around couldn&#39;t be maybe make sense best protein powder around let me see if there&#39;s anything to cover about this around yeah near me which means not relevant of have we checked this of uh all are done here couldn&#39;t be yeah here could be something we can do so I will just write here I will write here for myself basically to focus on ears mention ear at least one time I don&#39;t know where uh I have to mention or I ask writer to mention but I&#39;ll figure it out when I&#39;m constructing the brief okay so of is done done as well uh let me move to the next part main subtabs main subtabs are basically these tabs Main sub like V protein this is the proper noun someone may be searching in their uh query like best V protein so I will write here V sorry V proein then the next one is plant-based protein plantbased sorry protein next one is under $30 so price is also mention price for each product it&#39;s important or for like price is an important attribute of with that coupled with best I mean someone searching for best protein prod might also be looking for price as a consideration so if you understand the search behavior of the of the user you might need to you might uh feel that price needs also be covered on the page someone searching for best okay so under let me write the context here under 30 under do30 uh P protein pea yeah okay then there&#39;s mil meal shakes and drinks meal shakes and drinks this is maybe a entity type mhm cassine protein then there is without artificial sweeteners these are the important contexts we have to cover mhm is there anyone uh okay list is very long get it fast soy protein soy protein now I will also group together like V and soy could be grouped together P could also be grouped together casine could also be without artificial sweeteners I mean I mean next I have to group things together and that&#39;s the most important and challenging part organic is an adjective or attribute protein next I have hair skin and Nails basically the benefit of maybe probably we&#39;ll cover these three in the benefits skin and Nails yeah so protein helps you to grow hairs maybe something to do with skin as well I don&#39;t know Nails as well so yeah glutenfree as you can see without artfield sweeteners it can be grouped together like glutenfree in this type of uh I mean information sequence not maybe in the page but in just grouping or classifying the information what I&#39;m researching right now gluten glutenfree protein uh yeah K keto keto okay I will see what engram or what combination I have to try with keto maybe keto protein or keto diet or best protein for Keto or uh in maybe in the benefits probably I have to see what so every time if you miss this every time when I have to cover a specific context I have to double check that in what relationship I or which relationship I can create for a specific context with my macro context or with my context because two things can be connected with each other through multiple ways multiple relationships can occurred between two entities so you have to figure out which relationship you have to cover in your page by connecting and which definitely makes more sense so you have to do double check this later and I have a specific formula for that as well low cab these are just the context coming into my sheet then I will see how to connect lcab with my topic maybe uh like lcab protein powder or maybe best protein powder to low your cob I actually don&#39;t know anything about it yet so I&#39;ll just pass it down okay so main subtab there are like now subtitles subtitles are simply starting from here or even you can start from these transparent lab 100% grassfed way Protein Isolate two lbs milk chocolate so I would also add a couple more entity types like flavor needs to be mentioned one more thing like lbs is about the quantity quantity I&#39;m just writing the main attributes here that I have to cover somehow maybe for each product I&#39;m uh I&#39;m offering or maybe in any context okay so next this is what I&#39;m getting from here 100% grassfed it means something coming from organic uh as like you can see we have covered this attributes so coming maybe these could be connected with each other like 100% organic 100% grass fat okay V isolate I don&#39;t know what isolate means let me check what is an isolate isolate cause a person to be okay protein a protein isolate is a type of protein product that has undergo more processing than a concentrate okay processing Protein Isolate invols separating and collecting the purest protein fractions the additional PR helps isolate the protein that you want separating it from the ah I got it now the natural proteins are isolated ones I guess because they have they been or grouped combined with other things as well so they&#39;ve been isolated they&#39;ve been segregated or separated and then they&#39;ve been sold [Music] separately okay then then I have like impact way isolate so isolate way protein is one important thing definitely but we isolate this is the nram I have to Target ve protein as well way I should probably I&#39;ll combine everything together what about if I combine everything together just I&#39;ll combine query template like this or maybe at the end of this yeah at the end of this I&#39;ll combine it would be good because I just want to fill that the tabs more quickly um we we isolate then we have chocolate so I&#39;ve covered the flavored ones but now I will write the value chocolate is very popular as you can see here as you can see here so I have to cover this specific uh flavor in my content to classify myself with the behavior as well and with the consensus providing unique information is not necessary always I mean it&#39;s necessary but having the required information that someone is looking for is always good option so chocolate way protein or isolate so chocolate is uh chocolate brownie milk chocolate chocolate brownie I mean I will just write the chocolate the main theme is chocolate so I will see for which it will be coupled with then I have gaaa a brand name probably allinone daily super Bland meal replacement shake protein and vanilla vanilla is another flavor and one more concept or the context I got Shake I will write wave protein or I will just write protein shake here yeah for now okay then I have Optimum nut uh Optimum Nutrition gold standard 100% we protein double rich chocolate 74 serving yeah servings is also uh Main entity type or the attribute of V protein I have to cover as well yeah now moving to the next one what about if we see these as well like filter byy price I&#39;ve covered price I can see in my sheet uh I&#39;ve have covered price I know no I mentioned price yeah this one this one yeah okay so these are some distributions probably I&#39;ll also copy them and I will uh I will maybe explain them in a paragraph here I where I&#39;m explaining the price and the main price I don&#39;t know was under 30 is there under 13 under 30 now I&#39;m grouping already you can see here okay category yeah this is what I was thinking before let me copy them me pass them through a software extension and then let me write here like this V protein these are the categories I mean these are the main nouns we have to focus on not just proteins but these engrams as well yeah okay stores I&#39;ve covered wmat Target 16 more stores as well probably I will not cover everyone I&#39;ll just maybe cover a store entity entity type store or um platform not platform store is fine here because they&#39;re selling directly these are the main features I believe yeah so I will just make it like this remove the links and these are the features let me make it this color these are the features these are the main categories okay these are the names of onl r colors just making them different with different colors probably I&#39;ll combine them later these are the top attributes so yeah attributes are as well more there in the in the sheet as well so I&#39;ll combine attributes later on and flavors as well like vanilla chocolate maybe casin probably don&#39;t know is a flavor or what uh let me see okay the soy is covered here and so is repeating I will remove from here all also p is also repeating I&#39;ll also under 30 is come in already cing coming in here probably remove that as well uh plant-based keto okay now I&#39;m doing okay is there anything left uh Brands optimal yeah these are top brands so I will cover maybe an type here as well like Brands uh I will maybe probably create a separate heading Vector for this context like what are the top brands of protein powder what are the top protein powder Brands and also what are the top uh protein powder uh stores I mean just I will find a way to connect my attribute or context um um attribute with this specific uh context and make another context and sh the context accordingly so benefit benefits as well I will make very important attributes benefits okay then there are two main benefits uh hair skin nails Bone and Joint sport I will also uh copy the name here and probably I will do this and the other one which I just wrote above this one I will copy it as well I&#39;ll just as it&#39;s coming above so I will put it here I&#39;ll delete it from here so yeah flavor I&#39;ve covered flavor yeah so what I will do now I will put them under here and and now what I do I also try to follow the same order here first is features then brand then benefit then flavor so flavor is at the end why I don&#39;t know but I&#39;m just Mimi uh mimicing or imitating the Google uh because Google has done a lot of testing and that&#39;s why Google has figured out that hey this is the specific order I have to follow for showing the attributes and this is the very very biggest I mean the topic if I&#39;m not wrong I don&#39;t I haven&#39;t even checked the volume I&#39;m just thinking and doing everything in front of you manually and randomly okay so flavor is uh flavor needs to go at the end so I will copy it and move it to end uh last is Flavor then there is benefit on the top then there is brand as I can see and above brand there are features and features are yeah have I got it features uh uh I think yes yeah these are the features I will just maybe copy them or cut them put them be before Brands uh like this features features is more important than brand attribute people do not care maybe about brand more they care about more more about features like organic protein this is the main concern probably not about a brand specific just uh explaining based on my gut feeling right now as I&#39;m not expert on this topic so this is a good disclaimer to have so features and above feature there are uh stores so probably uh yeah there are stores then above stores there is uh category and category we have written here way and yeah what I will do now I will above store there is category I can see once again yeah category and under category I will place them like this okay cool then above category I have price price is the main factor quantity serving is basically basically I&#39;ve get the information from these but let me imitate what Google has to do price and quantity I will again uh sorry quantity serving I will push above maybe or maybe down we see that later quantity and serving and the stores these are the online retailers I mean stores and retailers uh sorry Brands and stores are to different so if I&#39;ve written store here I will just copy them right here I will just push them here probably I&#39;ll maybe get all these store names and I will see uh which store has like more popularity or being more suchar demand sorry I just mistaken click on that I&#39;ll just sorry I&#39;ll just copy L them I&#39;ll just uh maybe after which I&#39;ve sorted out like this now I will maybe change the order as well and later on anyways I&#39;ll now remove these two things quantity serving me put it here for now and these are the attributes by the way and organic protein have we covered it I think yes yeah in category we have covered organic uh I&#39;ll remove it from here casine let me check it is it being duplicated no uh plant base is yes I guess is being duplicated you can see here okay plant paste way protein meal shakes okay gluten flea probably also be covered below yeah you can see now you can relate that why Google was showing all these here as these are coming from probably most of the coming from these and from these list and Google showing them here for the ease of user so it was good that if we copy all these in the first place but anyways we find some unique as well like keto probably not there let me find is there okay my bad but these tabs help us anyway to casing is there or not okay yeah this one we only get from Main subtab which means every section has its own signifance we cannot ignore any specific section and focus on anymore so okay sub description is basically

Transcript for:Guide to Creating Semantic Content Briefs

Transcript for:
Guide to Creating Semantic Content Briefs