Latent Semantic Indexing | Adrenalina

Latent Semantic Indexing

TheLatent Semantic Indexing (LSI) looks like a complicated concept at a first glance but, in truth, it’s a very simple thing. The only problem is that this is the kind of name nerds like those at Goggle like to come up with.

In my words: It’s the process Goggle uses to index info, (not just referring to the key-words.)

Semantinc Indexing

Told in a simple manner that’d come to be the key-word analysis, relation and comprehension processed used within a document or a web-site. In other words: it’s the comprehension of semantically related text and, by using this techhique, are related by Goggle with the content of your site to catalog it and mark them as relevant on their results.

When it comes to SEO, what we need to understand is that, to carry out a web-positioning strategy, it’s important to add up content with words related to a theme and not only focused in one mere key-word but in the whole content of the site. Which means that it’s vital to know which words Goggle has linked together at semantic level to properly use them.


Los 3 main components of LSI are:

Singular Plural cars / car
Different conjugates Play – game
Related con different meanings create – do / mac – computer /

As an example: we all know (well, at lease those of us who work in that) that, when we run a search in Goggle, the searched words show up bolded. If you use the semantic search command “~” (in the same key as number 4 in pc: looks like you didn’t know it…) twice ~cheap ~cheap you’ll see that different words related with the search. This example shows up how Goggle locates semantically related words and gives us an idea of relevant words in contents. We’ve run the search in the .com version since, obviously enough, when going for an English search, we’ve got more related researches. You can see that we used the words “travel” which they related with flights, vacation & tourism: that’s an example of how to improve your contents and get ahead of the competency.

semantic results

In this other example, the word “cars” has been related with its own word cars, Automobiles and vehicles.

semantic results

Google offers us a lot of tools to guess how the key-words are being related. Here’s an example: quan you search a word in the search slot and click on the “search tools” button you’ve got several options to see how they related and give meanign to each word. Another example: they use a dictinoary when it comes to related searches.

goggle search

Search tools: dictionary

related searches

related searches











As we’ve already explained, latent semantic indexing discovers the words and phrases related at a semantic level which allow the search engines to find the content relevant for any search word. With a fitting content optimization strategy, it helps Google on its process of Semantic Indexing to promote the contents’ relevance. Depending on other optimization techniques then it’s important to prepare the conetnt which your site has so that Google relates and offers your site for different key-words in the results of the search.

That’s why it’s important to define from the start what would be the content strategy of a website since it’ll mark the results in the time spent searching. Taking that into account it’d be hard to position using the word “chess” if your web’s about “press”.

In this other example Adrenalina shows up related by different keywords: all of them are in the first 10 results from Goggle.

SEO Semantic

google-data-center According to some estimates, Google stores the major document archive in over 450.000
servers in hundreds of data-centers across the world and in the centers of Dublin, Virigina and California along with the centers the Atlanta & Dallas centers. They have their facilities where the latent semantic indexing is programmed into their algorithms. Compared to other info recovery technique, the latent semantic indexing works surpisingly well. Latent Semantic Indexing analyzes in a stadistical manner the patterns of word uses through the whole file, allocating the documents with similar key-word usage patterns close to each other and allowing sematically related documents to be close to each other despite that they don’t shart the terms. LSI is fully automated and easy to use, it doesn’t need complicated expressions or sintaxis to show the search results because the words and documents are explicitally represented in the space.

As we’ve already said, when writing site contents it’s import using LSI to figure out the semantic links between the contents, texts and document. We’ve got multiple tools like the old Goldenwheels but in other formats.


Keyword tool Google The Goggle Adwords team has a selector which tells us “ideas for key-words”. Goggle is telling you which key-words are taken into account if you run the search of a specific word.

keyword tool

Suggest Google Suggest Google shows you as you write in the search box some key-words related to your search to be taken into account.

google suggest

Übersuggest A tool which gathers all Goggle Suggest reports about a key-word.

Übersuggest Synonyms Search Engine: Word Reference

word reference

You know how to create new content and use all words to semantically index in a SEO Strategy. What’s important apart from using them in the right context is to make sure they’re gramatically and ortographically correct. You must remember that search-engines can compare any page before other pages which use the same wording: it’s important for the content to be relevant and of quality plus using the indexing terms in a fitting manner to gain the best results in SERPS knowing that, obviously enough, there are other SEO factors of high importance.

Good luck,


Autor: Jorge Gonzalez

Responsable de marketing en Adrenalina Me gusta el chocolate y me gusta el vino, inconformista, emprendedor y culé, hoy ya no podría vivir sin Internet. nos vemos en el #turnodenoche.

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