How Google can understand synonyms and semantically?

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Get Semantically Related Keywords with SEO Content Template Try for free → ADS illustration Google vs. LSI keywords As we've already mentioned, Google has confirmed that LSI keywords don't exist, and others in the SEO community are echoing this as well. img-semblog To understand this comment in a little more detail, let's take a look at this article by Bill Slawski on whether or not Google uses LSI. Bill's analysis on the subject allows us to understand that, as we said previously, LSI is an old technology (which actually existed before the web), and that while it is often talked about in the context.

SEO is to explain associated words. Indeed, if we Cambodia WhatsApp Number Data take a look at the original LSI patent , we can see: Since human word usage is characterized by high synonymy and polysemy, simple term matching systems have big flaws: relevant points will be overlooked because different people describe the same subject using different words and, as the same word can have different meanings, irrelevant points will be emphasized. Simple term matching is not an effective way to index web content. But just because Google seeks to understand semantically associated words when it indexes a web page does not mean that latent semantic indexing is the technology used.




Quite the contrary, and among other evidence that Bill shares, we find Google texts on semantic modeling of topics that do not refer to LSI. However, just because there is no evidence that Google uses latent semantic indexing as a technology to understand the relationship between words and determine the topic of a page, does not mean that it is not done in other ways. We can be sure that content that ranks high in the SERPs generally covers a topic in sufficient depth and demonstrates authority and expertise. Whether the phrase "LSI keywords" is correct or not, it's clear that you need to carefully.