LSI copywriting - we bring the article to the TOP

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LSI (latent semantic indexing) - latent semantic indexing. This is an algorithmic analysis of the text into its constituent words to determine its relationship to a particular topic.

The content of the article:

• A little historical background
• What is LSI copywriting
• Has LSI become a replacement for SEO?
• How to find the right LSI words for an article
• How to write LSI lyrics
• What can you expect from LSI copywriting?
• Is the method applicable to all sites?
• Disadvantages of the method

A little historical background

This term was introduced back in the late 80s of the last century, it was proposed to use for search engines the method of analyzing the content of the page, which allows decomposing the text into separate words and determining the subject. The method was required due to the fact that documents relevant to the user's request did not contain the required density of keywords, and documents saturated with them could not satisfy the requests in content. That is, the usual definition of relevance by keywords could not give the desired search quality. To get the most out of this topic, check out Unique Content as a Key Indicator of Website Quality.

Why, at the very beginning of their appearance, search engines were guided by keywords, paying little attention to the content of texts? Because the then power of computers, in fact, which are the basis of search engines, did not allow complex decomposition of thousands and millions of pages into components and save it in databases. Today, not only with the increase in the power of computers, but also with the development of neural networks, it has become possible to process incredible amounts of data. Search engines, focusing on the maximum satisfaction of user requests, have included the LSI method in their algorithms.

Latent semantic indexing (LSI) has long been controversial among search marketers. Google the term "hidden semantic indexing”, and you will meet both supporters and skeptics in equal measure. There is no clear consensus on the benefits of using LSI in the context of search engine marketing. If you're unfamiliar with the concept, this article will summarize the LSI debate so you can hopefully understand what it means for your SEO strategy.

What is LSI copywriting

LSI copywriting - this is writing an article using the maximum number of words related to the subject of the material. This is both the use of synonyms and other words, without which the text will not ideally reveal the question that the user comes to the page for the answer to.

LSI is a process used in natural language processing (NLP). NLP is a subset of linguistics and information engineering that focuses on how machines interpret human language. A key part of this research is distributive semantics. This model helps us understand and classify words with similar contextual meaning in large datasets.

Developed in the 1980s, LSI uses a mathematical method that makes searching for information more accurate. This method works by revealing hidden contextual relationships between words. It might help you break it down like this:

• Hidden → Hidden
• Semantics → Relations between words
• Indexing → Finding Information

How does hidden semantic indexing work?

LSI works with a partial application of Singular Value Decomposition (SVD). SVD is a mathematical operation that reduces a matrix to its constituent parts for simple and efficient calculations.

When parsing a string of words, LSI removes conjunctions, pronouns, and common verbs, also known as stop words. This isolates the words that make up the main "content" of the phrase.

These words are then placed into a term document matrix (TDM). The TDM is a two-dimensional grid that indicates the frequency of occurrence of each particular word (or term) in the documents in the dataset.

The weighting functions are then applied to the TDM. A simple example is the classification of all documents that contain the word with value 1 and all that do not contain the word with value 0. When words occur in these documents with the same overall frequency, it is called a match.

Using SVD allows us to approximate word usage patterns across all documents. SVD vectors generated by LSI predict meaning more accurately than individual term analysis. Ultimately, LSI can use relationships between words to better understand their meaning or meaning in a particular context.

Has LSI become a replacement for SEO?

Some people think that LSI copywriting has replaced the SEO of articles. But absolutely not. Classical optimization has not disappeared anywhere, it remains as important as before. Just now, in addition to integrating keywords into the article in the required percentage of the entire mass of the text, it is necessary to include words that define the subject of the text. The search engine will consider such text as the most relevant integrated keywords and will display it in the TOP of organic results.

It’s wrong to abandon SEO in favor of LSI. Both methods should work in tandem.

In its formative years, Google discovered that search engines rank websites based on how often a particular keyword is used. This, however, does not guarantee the most relevant search results. Instead, Google began to rank websites that they considered reliable arbiters of information.

Over time, Google's algorithms will filter out low-quality and irrelevant websites with greater accuracy. Therefore, marketers need to understand the meaning of the search rather than relying on the exact words used. That's why some SEO gurus call LSI "search engine simulators" in an article about obsolete ideas about search engine optimization, adding that LSI has "virtually nothing to do with how search engines rank websites today."

The meaning of a search query is closely related to the intent behind it. Google maintains a document called Search Quality Evaluation Guide. In these guidelines, they introduce four useful categories for user intent:

• Know the request - is a search for information on a topic. A variant of this is the "Know Simple" query, where users are looking for a specific answer.
• Do Query This reflects a desire to participate in a particular action, such as an online purchase or download. All these requests can be defined by the meaning of "interaction".
• Website request is when users search for a particular website or page. These searches indicate prior awareness of a particular website or brand.
• Request for a personal visit - The user is looking for a physical location, such as a physical store or restaurant.
• LSI theory - determining the contextual meaning of a word within a phrase - gave Google a competitive advantage. However, the idea began to spread that "LSI keywords" were suddenly the golden ticket to SEO success.

How to find the right LSI words for an article

Collecting thematic words to compile the semantic core of the article does not require any special knowledge or the use of paid services. Everything can be done by hand, and if you get the hang of it, then the core for one page will take no more than 10 minutes.

Collecting "Seek Together". These are additional keywords that we copy from the search results for the request we need. They are below.

All the words in bold are exactly what we need.

Collecting search tips.

All words that are not highlighted in bold are copied separately.

We collect the right column of Wordstat. We go to the Wordstat service - wordstat.yandex.ru and enter our key query. We get the frequency per month, as well as the right column, where similar requests are collected. We collect words and phrases from there.

We analyze competitors. To do this, we enter our query into the search engine and open the issue. We go to the first 10 sites that are in the top. Certainly the search engine considers the texts on these pages to be good. In turn, we select texts for all 10 and run them through the analysis of the Advego semantics. https://advego.ru/text/seo/

We need words from the top 10-15 of the "Words" section

Having received a sufficiently voluminous mass of thematic words, we proceed to its cleaning. We delete all repeated words, along the way noting how many times they occur to us. Having filtered out repetitions, we will get our semantic core for writing articles. The resulting particularity of words will determine which words should be used in the text more often, and which should just be included in the text once.

How to write LSI lyrics

If someone tells you that he can teach you how to write LSI articles, then he either wants to sell you a course of little use, or simply does not understand the subject, and he himself has become a victim of information businessmen with such courses.

Remember, there is no special technique for writing texts for latent semantic indexing algorithms. When writing such a text, your main task is to reveal your main key request as accurately as possible. It is important to compose the text in such a way that the user does not have to return to the search results to open another site.

LSI - this is just one of the many algorithms that search engines are responsible for analyzing texts. Others check the relevance of the text to keywords, pay attention to the structure (lists, subheadings, highlights, tables) that is useful to users, the presence of images and videos on the page, and much more.

The collected thematic words are integrated into the text, just like regular keys. At the same time, they monitor spam, water content and nausea of the text, informational style.

What can you expect from LSI copywriting?

A reasonable question, taking into account the effort and time spent on collecting words, analyzing competitors, integrating words into the text. It is worth expecting good page positions in organic search results for the analyzed query. Naturally, you will not come out in a competitive topic in the TOP-1. There are very trust sites here, which cannot be defeated by texts alone.

But in narrow niches, where there are no strong sites, and all the information is presented on narrow topics, this method will give you an instant TOP-1. In the worst case, the first page of the issuance is guaranteed.

If a miracle didn’t happen and the article didn’t get to any significant places in the organic, then either the key is too competitive, or you neglected other text optimization rules, believing that LSI is the head of everything.

Is the method applicable to all sites?

Writing content based on the principles of latent semantic indexing is ideal for information sites, where the main task of the text on the page is to answer the user's request as accurately as possible.

Commercial sites and online stores have a different goal - to sell a service or product. Therefore, the format of the texts there is somewhat different. Accordingly, the ranking algorithms for sites of this type are different. Search engines pay more attention to such moments as the presence of an address and a landline phone, reviews of goods and services on other sites, and a convenient site structure.

The texts themselves have less influence on the overall relevance of the site. The pages of an online store may not have texts at all, except for product cards, but at the same time it will rank higher for the same query than competitors who have huge texts in categories, even if they are written according to LSI. For better sales and attracting additional traffic, I recommend that you sell texts with their help, you can greatly attract the attention of visitors.

Disadvantages of the method

As I said, LSI is not a miraculous cure for pathological standing in the back of the issuance. This is just one of the text content parsing algorithms that:

• Perceives any text not as a whole, but as a set of words, breaking them into thematic and non-thematic.
• Does not understand the logical component of the text, its structure. Other algorithms are responsible for this.
• Assigns only one meaning to a word, although it can have several. This also includes a misunderstanding of metaphors, allegories.

LSI copywriting you need to include in your arsenal of writing methods just like SEO. But it is not a panacea for entering the TOP. You should not forget about this, just as you should not forget about other methods of writing texts that work for you.

I tried to reveal the new trend in as much detail as possible. Are there any unclear points? Ask questions in the comments.

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