In the previous part, we look at general terms of search engine optimization and delv a little into the technical part. Now we will talk about expressions that SEO specialists use when working with semantics and external optimization. We will tell you what these terms mean and how to use them.
If you haven’t read the first part yet, here it is: SEO Dictionary with Practical Application: Part One
Working with content: text optimization terminology
Intent is what the user nes when entering a query. For example, he types in the search engine “where to buy windows spb”, then the intent is buying windows.
Content is graphic and text information on the site. The higher its correspondence to the user’s query, the more relevant the page.
Everything you see on the blog now is content
Everything you see on the blog now is content.
Key query — a query that a user types in the search bar to solve a specific problem. For example, if you ne a domain for a website, key queries can be: “buy a domain”, “register a domain”, “domain registration”. Many key queries form a semantic core.
In the search results, keywords and their cognates are highlight in bold, attracting attention – this is call highlighting .
Highlighting in search results
The words “register” and “domain” draw attention to themselves and attract the user’s attention.
Semantic core (SC) is a group of key queries that correspond to the content of the site. The semantic core is divid into clusters by topic and forms the basis of SEO promotion. The site’s SC is us later for contextual advertising.
Consider factors such as industry, job title israel phone number data and company size to create a detailed buyer persona. Choose the right data vendor. When purchasing Israel phone number data, look for vendors that offer detailed segmentation options and customizable lists that provide accurate and up-to-date contact information. It is important to work with a reputable data vendor.
Clustering — combining key phrases into groups. For example, by individual pages, sections of the site, user nes. In the latter case, queries are divid into.
An example of clustering a website for equipment repair
An example of clustering a website for equipment repair
Parsing — collecting keywords and phrases for a website/advertisement. Words can be pars in different ways:
By selection method. Select basic keys, and synonymous phrases for them.
Study competitors . Find the first five sites in the search results for the target query and use services to check the semantic core. You can use SpyWords, PR-CY, Bukvarix – these are paid services, but there is free access with restrictions.
Select using services
For example, with Yandex Wordstat . To do this, enter the key phrase in the field and click “Select”. The results will include all user queries with this phrase and an indication of how many times a month it was search for. There is a convenient extension for browsers – Yandex Wordstat Assistant, which works with Wordstat and helps to form lists of words indicating frequency. To add a word to the list, you ne to click on + next to the keyword. Then the collect semantics can be copi and collect in a table – this simplifies further clustering.
Low-frequency — queries with a frequency qatar telegram marketing of up to 100 or up to 1000 impressions. Such phrases are usually highly specializ.
Mium-frequency – this includes more popular queries that were search for 5-10 thousand times a month.
High-frequency – the most highly competitive queries that users search for most often.
An effective semantic core will contain all types of queries – it is difficult to promote high-frequency queries, the competition is too high. Users rarely type low-frequency queries, but such keywords bring the most “warm up” audience.
You can see the frequency of words in Yandex Wordstat
Frequency of queries in Yandex Wordstat
An irrelevant query is a user query that does not correspond to the topic of the site/advertisement. One that does not ne to be promot in search results. For example, Igor sells scooters. While collecting semantics, he notic that the phrase “us scooters” is very popular – but there is no point in adding it, because the company he owns sells new phone number lt scooters. The phrase “us scooters” will bring a non-target audience to Igor’s site, among which there are unlikely to be any buyers, but the bounce rate will probably increase.
LSI (Latent Semantic Indexing) — writing articles with the inclusion of thematic words and synonyms of key queries. LSI phrases are phrases synonymous with key queries, thematic or near-thematic.
External optimization
External optimization – improving the ranking of a website through external factors (for example, external links and reputation management). Link mass is a set of links that lead to the pages of a site, but are locat on other resources. Links can be built up naturally (for example, if you are quot) or purchas on exchanges. Building up a link mass is call link building .
Blogging is one of the options for building up link mass
Blogging is one of the options for building up link mass. In a blog, you can link to the pages of the main site and improve its ranking
Link exchange — services where you can buy or sell link placement on your site. Some webmasters earn money by selling, while others buy and improve the rating of their resource through external optimization.
Drop — a domain with history, whose registration period has expir. That is, the previous owner of the domain has not paid for it, but the name has not yet been delet. Drop domains have already accumulat a rating in search engines, so buying such an address will help promote the site faster – you will not have to develop it from scratch and wait until the “sandbox” filter, which search engines impose on all new resources, ends. In Reg.ru, drop domains can be bought at the auction of releas domains.
