Search Engine Optimization (SEO) – in the simplest terms
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Search Engine Optimization, also known as SEO (Search Engine Optimization) is a set of measures to improve the visibility of a website in search engine results. This methodology is aimed at attracting the target audience through organic (natural) search. The main goal of search engine optimization is to increase the number of visitors to a web resource for subsequent monetization or more effective dissemination of information.

2 History of Search Engine Optimization Development
3 How Search Engines Work
4 Search engines Google and Yandex
5 Search Engine Ranking Factors
6 Semantic core
7 Key words and phrases
8 Text quality and relevance
9 Link profile
10 Technical aspects of SEO
11 Evaluating SEO Effectiveness
12 Modern trends in SEO
13 Misconceptions about SEO
14 Ethical and Unethical SEO Practices
15 Economic aspects of SEO
The essence of search engine optimization
Search engine optimization is a set of internal and external site modifications aimed at bringing web pages to the top positions of search results for pre-defined user queries. Competition arises between sites for leading positions in search engines, since users more often follow links located on the first page of results.
The main task of SEO is to make the site as consistent as possible with the ranking criteria of search engines, which will allow it to take high positions in the search results. Search engines strive to provide the user with the most relevant results for his requests, so pages with correctly selected keywords have a better chance of taking high positions.
History of Search Engine Optimization Development
Search engine optimization appeared simultaneously with the first search engines and is closely related to their development. At the initial stages, ranking algorithms were quite primitive. The distribution of sites in the search results depended mainly on the presence of keywords from the query in the text elements of the page.
In the early days of search engines, webmasters could manipulate search results by simply adding a large number of keywords to a page. Over time, algorithms became increasingly complex, taking into account not only the number of keywords, but also their context, the quality of the material, user behavior, and many other factors.
In 2011, Google took a significant step towards the development of artificial intelligence by developing unique semantic analysis algorithms that made it possible to evaluate not just the presence of keywords on a page, but also their semantic load.
How Search Engines Work
To effectively promote a website, you need to understand the basic principles of how search engines work. This allows you to build an optimization strategy that will bring the resource to the first pages of search results.
The main tasks of search engines
Search engines solve two main problems:
- Providing the user with the most accurate answer to the entered query. The main goal is to satisfy the user’s information needs so that he does not switch to a competing search engine. To do this, the top 10 results should include resources that most fully answer the query.
- Ensuring traffic monetization. Search engines strive to provide results that help website owners make a profit, for example, through contextual advertising.
The mechanism of search engines
Despite the differences in algorithms, the operating principle of most search engines is similar and includes the following steps:
- Data collection - search robots (bots, crawlers) go through website pages and collect information about them (texts, images, videos and other elements).
- Indexing is assigning a specific index to each page, allowing you to quickly search its content. After indexing, the page may appear in search results.
- Ranking is the process of determining a page’s position in search results based on multiple factors of relevance and authority.
Search engines regularly re-index websites on a set schedule to update page information and track content changes.
Search engines Google and Yandex
The Russian market is dominated by two main search engines: the international Google and the domestic Yandex. Each of them has its own ranking algorithms, although the general principles of operation are similar.
Google Features
Google uses a complex system of algorithms to rank pages. Among the most well-known are:
- PageRank is an assessment of the importance of a page based on the number and quality of links leading to it.
- BERT (Bidirectional Encoder Representations from Transformers) is a natural language understanding algorithm that allows one to analyze the context of a query.
- Core Updates — regular updates to the core algorithm aimed at improving the quality of search results.
Google places special emphasis on user experience, page loading speed, and mobile version of the site.
Features of Yandex
Yandex, which is focused primarily on the Russian-speaking audience, has developed its own algorithms:
- Matrixnet is a machine learning tool that allows you to analyze hundreds of ranking factors.
- Baden-Baden is an algorithm aimed at combating over-optimized texts.
- Palekh and Korolev are algorithms that improve search for long queries.
Yandex traditionally pays great attention to regional results and commercial factors for business sites.
Search Engine Ranking Factors
Ranking factors are parameters that search engines take into account when determining the position of a site in search results. They can be divided into several groups:
Textual factors
Textual factors relate to the content of the page and include:
- The semantic core of the text is a set of keywords that correspond to users’ search queries. The better the semantic core of the text corresponds to the queries, the higher the chances of high positions in the search results.
- Latent semantic indexing (LSI) is a method of analyzing the context of key phrases and their semantic environment. Search engines evaluate how much the words surrounding key phrases are related to them in meaning and relate to the same topic.
- Keyword density is the percentage of keywords in the total text volume. Modern algorithms analyze the naturalness of keyword usage and penalize for overspamming.
- Content structure is the use of headings, subheadings, lists, tables and other elements that improve the perception of text by users and search robots.
Working with text on your website may seem simple, but there are many technical nuances and pitfalls. For this, special services are used, such as Rush Analytics, which is popular in Russia .
Technical factors
Technical factors include:
- Page loading speed - slow sites get lower rankings.
- Adaptability for mobile devices - search engines give preference to sites that display correctly on smartphone and tablet screens.
- URL structure - short, clear page addresses using keywords.
- The presence and correctness of meta tags (title, description, h1-h6).
- Internal linking is a system of links between website pages.
Behavioral factors
Behavioural factors reflect user interactions with the site:
- Bounce rate is the percentage of users who leave a site after viewing one page.
- Time spent on site is the length of time a user spends on the resource.
- Page depth is the number of pages a user views in one visit.
- Click-through rate in search results is the percentage of users who go to a site after viewing its snippet in search results.
External factors
External factors include:
- A link profile is a collection of links from other sites pointing to your resource. The quality, relevance, and quantity of such links affect the authority of a site in the eyes of search engines.
- Social signals - mentions of the site on social networks, number of reposts, likes and comments.
- Brand factors are brand mentions on the Internet that do not necessarily contain direct links to the site.
Semantic core
The semantic core (SC) is a set of key queries (words and phrases) for which it is necessary to ensure the visibility of the site in the search engine results. A high-quality semantic core consists of relevant semantics that are in demand on the Internet and respond to the search queries of the target audience.
The meaning of the semantic core
Careful work on creating a semantic core is the basis of successful SEO, as search engines are increasingly focused on content. Search engines strive to understand the real meaning of words, and not just index the content.
Semantic analysis allows:
- Explore the niche deeper
- Better understand the needs of potential customers
- Use the experience of competitors
- Build a quality website structure
- Attract more targeted traffic
Stages of compiling a semantic core
- Collection of basic keywords - identification of the main queries related to the site’s subject matter.
- Expanding the list - searching for additional keywords using special tools (Yandex.Wordstat, Google Keyword Planner, etc.).
- Competitor analysis is the study of keywords used by successful sites in your niche.
- Grouping and classifying queries – distributing keywords into categories, pages and content types.
- Evaluation of competitiveness and potential effectiveness - analysis of the complexity of promotion for each request and its potential return.
- Clustering is the process of combining similar queries into groups to create pages that meet similar user needs.
Key words and phrases
Keywords are words and phrases that users enter into the search bar. The correct selection of keywords plays a crucial role in SEO optimization, as they serve as a link between user queries and the content of the site.
Types of keywords
By frequency:
- High-frequency (HF) — queries with a large number of search queries per month. Example: “buy a phone”.
- Mid-frequency (MF) — queries with an average number of searches. Example: “buy iPhone 15 Pro Max”.
- Low-frequency (LF) — highly specialized queries with a small number of searches. Example: “buy iPhone 15 Pro Max 1TB graphite in installments”.
By commercial potential:
- Commercial — queries with the intent to make a purchase. Example: “order pizza with delivery.”
- Informational - queries for obtaining information. Example: “how to make pizza at home”.
- Navigational - queries to find a specific site or page. Example: “Vkontakte login”.
- Transactional — requests related to performing an action. Example: “download Yandex app”.
Distribution of keywords across website pages
For maximum efficiency, it is necessary to correctly distribute keywords across the pages of the site:
- The main page is usually optimized for the main high-frequency queries that reflect the general theme of the site.
- Categories are optimized for mid-frequency queries that correspond to the topic of the section.
- Product or service cards are optimized for low-frequency specific queries related to a specific product or service.
- A blog or section with useful information is optimized for informational queries that can attract potential customers in the early stages of making a purchasing decision.
Text quality and relevance
Modern search engines pay great attention to the quality of content and its relevance to users’ search queries.
Characteristics of quality content
- Uniqueness - no duplication with other Internet resources.
- Completeness is a comprehensive answer to the user’s question.
- Structured - logical division of text into sections with headings, subheadings, lists, etc.
- Expertise is the demonstration of deep knowledge in the topic under discussion.
- Relevance - timely updating of information taking into account the latest trends and changes.
- Readability - easy-to-understand text without grammatical and stylistic errors.
Content Relevance
Relevance is the degree to which a page matches a user’s search query. Search engines strive to show the most relevant results by evaluating:
- Direct match - the presence of words from the query in the page text.
- Topical relevance - the general topic of the page matches the user’s query, even if the exact words in the query are used to a lesser extent.
- Contextual relevance is the presence of words that are semantically related to the query, which indicates a deep understanding of the topic.
- User relevance is an assessment of how well a page meets user needs, expressed through behavioral factors.
Latent semantic indexing method
To determine the relevance of text, search engines use the latent semantic indexing (LSI) method, which helps to identify the degree of content relevance to the search query. LSI analyzes:
- Context of use of key phrases - the words surrounding the key phrase should be related to it in meaning and relate to the same topic.
- Semantic connections between words - the presence of synonyms, antonyms and other lexical units that form the semantic field of the topic.
- Thematic concentration is the degree to which the text focuses on the main topic and does not deviate to the side.
Link profile
A link profile is a collection of links from other sites pointing to a specific resource. This is an important factor determining the authority of a site in the eyes of search engines.
The Importance of a Link Profile
A well-structured and diverse link profile is a critical factor influencing a site’s visibility and ranking potential in organic search. Search engines like Google evaluate the quality, relevance, and quantity of external links when determining the authority of a web page.
Characteristics of a quality link profile
- Naturalness - links should appear gradually, without sudden jumps.
- Diversity - links should come from different types of resources (blogs, forums, news sites, directories, etc.).
- Relevance - referring sites must be thematically related to your resource.
- Authority - Links from authoritative sites carry more weight than links from lesser-known resources.
- Diversity of anchors - link texts should vary and include both brand and keyword queries.
Link Profile Building Strategies
- Create quality content that other sites will want to cite naturally.
- Guest publications on thematic resources with the possibility of placing a link to your site.
- Creation and distribution of infographics and other visual materials that can be used by other sites with a link to the source.
- Monitoring and fixing broken links on authoritative resources - offering your content as a replacement.
- Participation in industry forums and communities where you can naturally mention your resource.
Technical aspects of SEO
In addition to content and link factors, technical aspects of optimization are of great importance, affecting the indexing of the site and its user experience.
Site structure
- Logical hierarchy - organizing pages into a hierarchical structure, where the main page leads to categories, which lead to subcategories and individual pages.
- Nesting depth is the desire for the minimum number of clicks required to access any page of the site (the three-click rule).
- Internal linking is a system of links that helps users and search robots navigate the site and find the information they need.
- Sitemap (sitemap.xml) is a file containing a list of all site pages to facilitate their indexing by search robots.
Optimizing loading speed
- Minimizing HTTP requests - combining CSS and JavaScript files.
- Image optimization - file compression without loss of quality, use of modern formats (WebP).
- Using browser caching - storing frequently used files in the user’s browser cache.
- Using CDN (Content Delivery Network) - a distributed network of servers for fast delivery of static content.
- Minimizing the use of heavy scripts and plugins.
Mobile optimization
- Adaptive design is the correct display of a website on devices with different screen sizes.
- Readable text without scaling - comfortable font size for mobile devices.
- Responsive interface elements - buttons and links should be large enough to be tapped with a finger.
- Fast loading on mobile devices - optimization taking into account the quality of the mobile Internet.
Evaluating SEO Effectiveness
To understand the effectiveness of SEO optimization, it is necessary to regularly monitor a number of key metrics and use specialized tools.
Key metrics
- Site positions in search results - tracking changes in positions for target queries.
- Organic traffic is the number of visitors who come to the site through search engines.
- Bounce rate is the percentage of users who leave a site after viewing only one page.
- Time on site - The average time visitors spend on the site.
- Conversion is the percentage of visitors who complete the target action (purchase, registration, form completion, etc.).
- Indexing is the number of website pages indexed by search engines.
Tools for analysis and monitoring
- Google Search Console and Yandex.Webmaster are tools from search engines for monitoring indexing, search traffic and identifying technical problems.
- Google Analytics and Yandex.Metrica are web analytics systems for tracking user behavior on a website.
- Position checking services are tools that allow you to track a site’s position in search results for various queries.
- Technical audit tools are services for identifying technical errors and problems on a website.
- Link profile analysis services are tools for tracking the quantity and quality of backlinks.
Modern trends in SEO
Search engine optimization is constantly evolving, adapting to changes in search engine algorithms and user behavior.
Search personalization
Search engines increasingly take into account the personal characteristics of users: search history, geographic location, interests and preferences. This leads to the fact that search results can vary significantly for different users.
Mobile search
With the rise of mobile users, search engines are favoring mobile-optimized sites. Google uses the mobile index as its primary index, making mobile optimization critical.
Voice search
The development of voice assistants is changing the nature of search queries, making them more conversational and longer. This requires content to be adapted to more natural phrases and questions.
Video content
Search engines are increasingly including video content in search results, making video content optimization an important area of SEO.
E-A-T (Expertise, Authoritativeness, Trustworthiness)
Google increasingly places importance on expertise, authority, and credibility of content, especially for sites related to health, finance, and other important topics.
Misconceptions about SEO
There are a number of common misconceptions in the SEO space that can lead to ineffective strategies:
Fast results
Myth: SEO gives instant results. Reality: Search engine optimization is a long-term strategy, the results of which usually become noticeable after several months of systematic work.
The meaning of meta tags
Myth: Meta keywords tags have a decisive influence on ranking. Reality: Modern search engines practically do not take into account the meta keywords tag, but they do give importance to the meta title and description tags for forming a snippet in the search results.
Number of keywords
Myth: The more keywords on a page, the better it ranks. Reality: Excessive use of keywords (spam) can lead to sanctions from search engines. It is important to have natural inclusion of keywords in the text.
Versatility of strategies
Myth: There are universal SEO strategies that are suitable for all sites. Reality: Each site requires an individual approach, taking into account its subject matter, target audience, and competitive environment.
Ethical and Unethical SEO Practices
SEO methods are traditionally divided into "white" (ethical) and "black" (unethical). Using unethical methods can lead to short-term results, but often ends in sanctions from search engines.
White hat SEO
- Creation of high-quality, unique content that meets user needs.
- Natural optimization of texts taking into account keywords, but without compromising readability.
- Improving user experience: easy navigation, fast loading, adaptability.
- Natural growth of link mass through the creation of high-quality content.
- Technical optimization of the site to improve its performance.
Black SEO
- Hidden text and links - placing text the same color as the background or hiding it in other ways.
- Cloaking is the process of displaying different content to search engines and users.
- Doorways are the creation of pages optimized for specific queries, but which do not provide any value to users.
- Keyword spamming is the unnatural oversaturation of text with keywords.
- Buying low quality links in large quantities.
Economic aspects of SEO
Search engine optimization is an important component of digital marketing and has significant economic value for businesses.
Cost and ROI
SEO requires long-term investment, but when done correctly, it provides a steady stream of targeted visitors with high conversion potential. Unlike contextual advertising, where each click is paid for separately, organic traffic does not require direct costs to attract each visitor.
SEO as a competitive advantage
High positions in search results increase user trust in the brand and increase its recognition. Companies that occupy the first places for relevant queries receive a significant competitive advantage.
Integration with other marketing channels
SEO is most effective when integrated with other digital marketing channels: contextual advertising, SMM, email marketing, and content marketing. This allows you to create a synergistic effect and increase the overall effectiveness of your marketing efforts.
In today’s environment, SEO continues to evolve, adapting to new technologies and changes in user behavior. A successful search engine optimization strategy requires flexibility, a willingness to experiment, and constant analysis of results.
With the right approach, search engine optimization becomes a powerful tool for attracting target audiences and developing business in the digital environment, ensuring long-term results and sustainable growth of organic traffic.