The quality of the semantic core depends on how effectively and quickly the site will grow in search results. In this article we will define semantics, consider the principles of its work and briefly talk about how it is assembled. And also, I would like to remind you of the back link finder.
DEFINITION
The semantic core is an ordered set of words and their morphological forms that accurately characterize the content of the site. After it is assembled, we get an ordinary file list. It contains key queries, based on which later filled pages.
Not quite clear? Let's look at a simple example.
Your car breaks down. You immediately grab your laptop and look for the nearest car service. In the string of Yandex beat "repair Voronezh car. That is the phrase and is a search query. And the semantic core is a structured set of them.
The SC performs the following functions:
- Helps users find the information they need.
- Improves the visibility of the site in search engines.
- Used to create a "framework" for the site.
THE BASICS OF THE BASICS
What it is and what it's about is clear. Let's move on. Let's pay attention to the basic rules of assembling the SC.
- One page - one query group
Example - buy doors, buy interior doors, buy glass interior doors, wooden interior doors, and so on. But the query "door handles" cannot be included here.
- The request corresponds to the content
Let's say there is a keyword "buy building materials. What should the user expect? A catalog of products. In this case, the content of the page corresponds to the query. In other words, it is called relevance.
But in the end, the page opens, which explicitly offers to order the construction of houses on a turnkey basis. And this is a very serious violation. Search engines for such a site may drop in extradition.
- The promotion strategy is chosen depending on the frequency of the request
This is a very broad topic that needs a separate article. For now, just remember that the LF, MF and HF are promoted by completely different methods.
2 STRATEGIES FOR ASSEMBLING THE SC
1) From scratch
An in-depth analysis of the topic and niche, the product, the anticipated queries.
Advantages: the site is quickly promoted to the top.
Disadvantages: long, expensive.
2) Competitor requests
We choose several competitors. With the help of keyso honestly borrow the core from them. Then we clean it from unnecessary requests. Done!
Advantages: not long, cheap.
Disadvantages: there is a possibility that your competitors have collected poor-quality SC. Think about the consequences think for yourself.
TYPES OF REQUESTS BY PURPOSE AND FREQUENCY
On target:
1) Informational.
Used by users to obtain non-commercial information.
Example: "How to configure a router (model name) instruction".
2) Commercial.
Aimed at committing a commercial action.
Example: "Smart TV buy NY".
3) Generalizing.
Do not allow you to define the user's goal.
Example: "Plastic windows."
By frequency:
High-frequency - 1,000 per month or more.
Example: Indesit washing machines to buy.
Medium-frequency - up to 1000 per month.
Example: Indesit washing machines to buy in installments Eldorado.
Low-frequency - up to 100 per month.
Example: Indesit iwub 4085 second-hand to buy NY cheap
STEPS OF WORK
So, the main points are taken care of. Now let's move directly to the assembly process. It consists of five steps.
- Search for the basic phrases.
- Expanding the semantics obtained (parsing).
- Sifting out unnecessary keywords.
- Analysis of competition, seasonality and other important factors.
- Grouping of queries.
This is the algorithm. Now break down each step in detail.
Basic Phrases.
First, in your mind, think of as many words or phrases as possible that are relevant to our topic. We are talking, of course, about search queries. Immediately write them down in a notebook document, so as not to forget.
Done? Excellent, now run the utility KeyCollector and copy that there what we have. Now click on "Pair with Yandex.Wordstat". Have patience - this may take up to six hours or more. It all depends on the size of the core and the parsing parameters.
Do not forget that gathering semantics from scratch is not necessary. You can use the core, which was compiled by your competitors. Both as a whole (not recommended), and as a base for your own.
After the analysis of competition, seasonality and other important factors. This is required in order to leave only the necessary keys and weed out useless queries.
SIFTING UNNECESSARY KEYS
Now we need to get rid of trash queries, which will not help our site in any way. After parsing we may get a lot of word combinations, but we will have to sift them out manually. There is an option to use automated services, but they do not always work correctly.
- Get rid of keys with ultra-low frequency (less than 10).
- Leave only phrases that fit the meaning. The rest - delete.
- Check the frequency of key phrases. As in the previous case, delete unnecessary requests. Frequency you need to determine yourself.
What we have is exported to an Excel spreadsheet. After that begins a long and tedious, but very responsible procedure of refining and grouping of semantics.
In the end, we get a few groups of requests that fit your theme. This ends the collection of the semantic core.
AT THE END
Of course, this is a very generalized description of the process of assembling the semantic core for the site. It is impossible to describe everything within one article, but in the future we will consider this issue in much more detail.
