How to Write the Perfect Blog Post for 10X MORE TRAFFIC? What is Query Group Post?

We have developed a method to get 10 times more traffic to a single blog post than even our own average blog post. Let me show you how we do it.

The best way to maximize our income is to make sure that we get the highest return on the investment that we put into it. When it comes to blogging, that means getting the most traffic and making the most money from the pieces of content that we create. Spending a little bit less time on the creation for the amount of money we make. That's why in this article, we taught you how to write a blog post a good one in under an hour and in this article we showed you how to write blog posts that earn the most money and in this one i'm showing you how you can spend a little more time on an individual piece of content but drive substantially more traffic to the website. Each one of these is a different tool in our tool belt we shouldn't use only one or the other or the other and there are other tools still available to us. This type of blog post is called a query group blog post. To those of you in project 24, you already know what i'm talking about. That's because in search analysis we teach you about how to create query groups and when those are appropriate. As well as how to write content based upon query groups. That's exactly what that we're talking about today in this article. 

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Query Group

A query group is essentially what it sounds like and that is it's a group of closely related search queries. Those are things people are actually searching for on the web. Now oftentimes we'll end up creating a group of search queries, instead of creating individual pieces of content individual articles about each and every one.

So in this article i want to walk through several principles that will help you determine when that's the best approach to do, as well as some good principles for how to create this type of content. So that it can rank for all of these different search queries. 

Query Group Post

Principal #1

The first principle is probably the most important one in terms of actually grouping these together and that is that the search queries need to be highly related. When we do our search analysis oftentimes we'll end up grouping these together and finding out hey you know what these five search queries, they're really close, they're like really on the same topic. They're just kind of different variations of the question.

Let me provide you an example of what this may look like. Maybe it's for a decision-based or kind of a curiosity-based question. Where depending on the situation, the answer is going to be different. An example might be, what type of fertilizer is best to use for acidic soil? and then the next question is, what type of fertilizer is best to use for alkaline soil? What type of fertilizer is best to use for nitrogen deficient soil? 

You can see where i'm going. Here, there are a lot of different potential soil conditions and different ideal fertilizers or products to use in each case. Now there are other ways that we could group this content as well. We could write an entire article about a complete guide to gardening in acidic soil and we could go through what products to add. We could talk about what types of plants do best in acidic soil and cover acidic soil as the thing that ties it all together.

In this case or the example that i gave you, what we did is we talked about fertilizer, what fertilizer to use. Let's say in a vegetable garden or a flower garden, we're going to pick one situation and say for the different soil types. You see, there has to be that one thing that ties it all together.

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Another example of kind of this situation based or almost decision based type of search query group would be the article that we've written. In our article that we wrote, how many tables you need for 200 guests? Now we chose 200 as the number because that's the one that came up first when we did an auto suggest search. So if i type how many tables for, now right now what's coming up first is 100 and then 150 then 200 but when we did our search analysis, 200 came up at the top. So that was the one that we figured was probably being searched the most, so that's the one that we answered with an answer target. 

We know that a lot of events that where people want to know how many tables they need, don't have 200 guests. So what have we done? We've created this table here👇

This table answers the same question for events with 100 guests, 50 guests, 25 and 10. We've also answered that same question depending on what size and type of table that people are using. In this case a table was a great format for answering that question, because we could list the number of guests along one axis as well as the size or the type of table on the other axis. In other situations we could answer that sort of repeated question, that just has a slightly different nuances to it. We could answer that in the form of a list. The format or the structure of the article doesn't matter. There's not just one that works best, you should tailor it to the specific content. 

The next type of sort of highly related search query for these query groups is when the different search queries you identify are so closely related and a significant portion of the maybe the explanation of the answer is going to be the same for all of them.

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Let's say you have a website about ways to make money and you talk about franchising and you want to write an article about financing a franchise. Well some specific queries could be things like, can you finance a franchise using borrowed money. Now that's not necessarily a query, that's going to merit its own article and it's going to be very closely related to other questions about ways to finance your franchise. So what do we do?We write an article that's a guide to financing a franchise and in that article, we address all of those specific search queries that we've identified around financing a franchise. Guide articles like this can be a great place to tuck in some of those additional search queries that don't seem to have enough search volume or where the answer is really small that leads me to my next principles.

Query Group Post

Principal #2

The next one is when the search volume is too small to mirror its own article. In our process of search analysis, we don't rely on keyword tools because they're just really really wrong, especially when we're talking about some of these specific search queries with relatively low search volume. Relatively low often means like less than 10,000 pages a month. Which is still plenty for a blog. So instead we've come up with numerous different principles and ways to sort of validate what the search volume might be at least relatively and in that process we often identify search queries where the search volume probably doesn't mirror its own article. tlthat's fine, we take those search queries, we set them aside and when we can group them up or tack them onto another article. We make sure we address those because even a couple hundred pages a month, coming from that other search query, is worth adding to an article that's based on a search query that does have more search volume.

Query Group Post

Principal #3

The next principle is, when the answer is too small. tlthe search volume may be substantial but there's just not that much to say. Now we need to give you a little bit of a warning here. Most people that are fairly new to blogging or that are new to the way that we teach blogging will tell us that there's no way that search query merits a thousand word blog post because they just want to answer that one specific search query and they don't identify the fact that the answer is actually nuanced. There's usually an it depends when we give a simple answer to a question. 

When somebody asks me, how many tables do i need for an event with 200 people, the answer is, well it kind of depends, depends on the size and shape of the tables. It depends on how much space you want people to have at the table, do you want them to be pretty packed in or you in a fairly small space overall and so we need to pack in the tables as tightly as possible. Depending on those situations, i might give you a different recommendation of how many tables to plan on. So really could i write a thousand words on how many tables should i set up for an event with 200 people quite possibly but sometimes the search query really doesn't have a very nuanced answer. It's very simple and in those situations it only makes sense to group them with other search queries that are very very very similar but where the answers aren't potentially that big but what do we do when we have some really closely related search queries where the answer maybe is big and some where the answer's small but they feel like they fit together because the topic is so closely related. 

In those situations what i do is i figure out what is the thing that ties them all together, what's the overarching topic. We're going to write an article about that and in it we're going to include all of these answers to these search queries but for those queries that do merit that bigger answer. I'm going to link from the overarching article, the broad one to that article, I'm going to say write in it. Here is your answer but there's a lot more that goes into this. So you should read this other article i've written that covers it in detail, perfect!

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Now we've answered that question and then i'll link back from that other article to this article that talks about the overall broad topic and since they interlinked back and forth in a natural way, i don't really care which of those two articles ranks better. Which one people actually land on because if they needed the other one i've given them a route to find it and vice versa. Now one more caveat, as we talk about these topics that are too small right. Either because the search volume is too small or because the answer to the question is too small. It doesn't mean that the overall topic is small. Often times when we group these together l, we do end up covering a topic that on its own merit, potentially has substantially higher search volume. We're just making sure that we specifically answer those smaller search queries that are part of the bigger and broader topic. 

Query Group Post

Principal #4

The next principle is more tactical. It's how do we actually write and how do we structure this type of content. Well the thing is that it really depends, notice how i said, the answer is almost always it depends on the type of content and on the type of search query. 

Notice that, we have a table here

 This one table can help the article potentially rank for numerous search queries. In another article, we wrote about which fruit rots the fastest and that was the primary search query that we wrote it for and we have an answer paragraph that answers that question. It can win a google snippet and then we dive into that in more detail but then we talk about which one lasts the longest. It's a different search query but it's closely related then we talk about how long each of the types of fruit lasts when they're left at room temperature. Now this type of question merits a table check that out the different types of fruit how long they last and then what were the signs that the fruit was starting to spoil. It's a perfect use of a data table in some situations. It will be a list that makes sense to list out in bullets or numbers.

In other situations like we talked about in the example of financing a franchise, a table doesn't really make sense. What we're going to do instead is list out each question either as a subheading or it could just potentially be a bolded question followed by the answer. The length of these articles is usually going to land around the 2000 word mark, the typical staple post. Maybe up to 3000 words but i find that if my articles are getting substantially longer than that then it means i probably need to write an additional article that covers one of the pieces of that query group and then i need to give a shorter answer in my query group post, that interlinks out to that one. I don't like seeing articles that are six thousand, eight thousand, ten thousand words long. Most of the time people are gonna just search for the piece of that article, that they need anyway and if it's too long and they have a hard time finding it, they're often going to bounce. So for those really big topics treat it as a query group post and answer the specific pieces, the specific search queries that are parts of that overall topic. Answer them with short answers and then link from there out to the bigger more detailed answer for that specific question. That can be a thousand to two thousand words.

That my friends is a query group blog post and those kinds of posts are often driving tens of thousands of page views a month on our websites. In some instances with a year old website, we'll have a single query group post that's driving close to half the traffic of the entire website and it's driving it through numerous search queries and not just one primary query. That makes it a beautiful thing.

So now it's your turn, it's time to go write a query group blog post on your website, even if you've already written some of the articles that would make up a part of a really good query group, that's okay! Go write the query group post anyway and interlink with those articles. It's going to be just fine. I want you to try it, i want you to see what happens. I really think you're going to love the outcome.