Some time ago, Google announced that "Google will combine semantic search technology to improve search algorithms." It is said that this will affect millions of websites that rely on Google page ranking search results. Although the largest search engine in China is Baidu, Google did this. I believe Baidu is not far away from doing this, so we focus on Google today in order to win Baidu in the future. Of course, what the author wants to share with you today is that once Google enables the semantic analysis algorithm, how should the content layout of our website be most consistent with the search engine algorithm?
First, please take a look at this paragraph. "After Google makes search improvements, users who search for the keyword "Lake Tahoe" will see the main "attributes" of the lake, and the search engine will display the location of Lake Tahoe. , altitude, average water temperature, salinity and other information. In fact, from this sentence, we can completely see what the content layout of our website should be. Then let’s analyze this paragraph. Searchers are searching for Lake Tahoe. When visiting, you may want to know the location, altitude, salinity, etc. of Lake Tahoe instead of a simple introduction to this lake.
I believe that Google will have a thesaurus of related words. Please see this passage in Google will combine semantic search technology to improve the search algorithm. "Semantic search can establish connections between different words, such as in the "Google" company and the founder "Larry Page and Sergey Brin" are related. This means that if we want to use the keyword "computer", we need to have various keywords related to computers in the website. For example, computers will be related to computers, monitors, mice, keyboards, etc. Therefore, when we optimize the layout of website content or publish content, we should also layout these related keys. Instead of simply adding the core keyword computer several times in the website, you also need to design computer-related things, because these related contents may also be what users want to know.
When we talk about how to deal with semantic analysis algorithms, we need to have a deep understanding of why Google wants to launch semantic analysis algorithms. Because only by knowing why can we create content that truly meets user needs. Let’s take a look at what semantic search is. The so-called semantic search means that the work of search engines is no longer limited to the literal meaning of the request statement entered by the user, but looks at the essence through the phenomenon and accurately captures the meaning behind the statement entered by the user. True intent, and use this to conduct searches, thereby returning to users more accurately the search results that best meet their needs.
In fact, semantic analysis is not only what search engines have to do, but it is also what we need to do when analyzing user needs. Of course, when a user enters a keyword, can you most accurately analyze the real needs of the user when searching for this word? For example, when a user searches for SEO, how do you know whether the user is looking for him, whether he wants to know what SEO is, or whether he wants to find something? SEO training, still want to find SEO tutorials.
Since two years ago, there has been a phenomenon in search engine rankings. When searching for a certain keyword, the web pages ranked at the top sometimes do not even contain the searched keyword. This is likely to be the effect of latent semantic indexing. For example, if you search for computers, one of the top web pages may contain an article that only mentions computers but not computers. Because search engines know through semantic analysis that these two words are closely related. Another thing to note is that when writing web pages, you should not be limited to the target keywords. You should include words that are semantically related to the main keywords to support the main keywords. This is also reflected in the search results. Although some articles contain a large number of main keywords, they lack other supporting words and often do not rank well.
In fact, Baidu is also doing this now. When you search for "search engine optimization" on Baidu, the term SEO will also appear. You can see it by looking at this picture. This also shows that Baidu is also doing semantic analysis, but It may not be launched due to limitations in technology or vocabulary collection, but I believe that in the near future, Baidu will definitely release its own semantic analysis algorithm. With the advent of semantic analysis algorithms, everyone must have a new way of thinking when designing website content in the future. The content of the article is taken from Zeng Xiangmin's SEO blog http://www.tzwoo.org/1147.html . I hope it can be enlightening to everyone. Thank you.
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