Google actually uses some version of Latent Semantic Analysis which clusters these results based upon word frequency and position. This creates a word matrix wh

Google actually uses some version of Latent Semantic Analysis which clusters these results based upon word frequency and position. This creates a word matrix where snippets of text can be clustered into themes and the documents are related by a fuzzy concept (document distance in Nth-dimentional space), not directly with key-words like "X relates to Y". It's harder to "game" that system, but if you know how it works and you're targeting a concept; it'll just force you to create high-quality content so Google wins anyway. If you really want to play with this type of thing (unlike the blog-post writer that just piggy-backs off of Google smarts) check out the Natural Language Toolkit: https://www.nltk.org/ https://www.nltk.org/