Ranking with LSA

Ranking on Google using LSA

Latent semantic analysis is the future of search engine optimization. Ranking on Google using LSA is possible simply because Google Search uses LSA to determine if a web page is enough relevant or highly relevant regarding a given search query.

Relevancy score is a big part of Google ranking algorithm. Yes, Pagerank still matters, and matter a lot if you want to get high rankings, everybody knows that backlinks and link popularity does the magic on Google. But providing a highly relevant content, you need fewer backlinks to rank at the top of search engine results pages, and at the same time staying far from linking dependency, you’re safe from unnatural links penalties or algorithms filters like Penguin algorithms.

Ranking with LSA

Another reason that makes LSA Ranking methods best SEO practices, is the topic sensitive Pagerank. It’s incredible that almost of search engine optimizers never talks about Tahar Haveliwala research at Stanford, and his works later at Google.

We will get back later on topical sensitive Pagerank, but what you need to know for the moment, is that Pagerank flows much better between pages and topics semantically connected. It’s not about spamming, and building web pages on exactly the same topic of your website and then linking to it. SEO nowadays is about taking advantage of semantic connexions, latent semantic trees and linking smartly your website.

At SEO Hero, we’re really excited about the great time we’ll have together talking about LSA and how to use it for rank on Google. We’ll see a lot of case studies and greats tutorials on how to work with SEO Hero and how to simply make your content better.

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