Subject identity is established

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In the very early days one could even rank non-informational pages stuffed only with keywords. Google now processes language through a broad algorithm that seems to go far beyond keywords. It will also consider broader phrase words and related searches to provide additional information about the term. By understanding language at different levels of syntax, morphology, semantics, and pragmatics, Google has gotten smarter at understanding what our search terms mean and what types of content users expect to see.

This has a direct impact on the characteristics of high-quality content. Gone are the days of stuffing your content with target keywords and hoping it will magically rank. Not only is keyword stuffing a bad user experience, Google can actually penalize your site if it catches you doing so; Conversely, high-quality photo retouching content must take into account the same language considerations. This means evaluating the meaning, context, intent, and other factors of your target keywords. Semantics Understanding Meaning One of Google's main goals is to understand the exact meaning of searches and content.



This is where semantics come into play. Semantics is concerned with the meaning of words and sentences. In spoken conversation we intuitively associate words and sentences with certain meanings to mentally represent and relate to our existing knowledge so that Understand what is being said. The way Google handles semantics in a very similar way despite having no brains is both impressive and frightening. Years after the Hummingbird update, Google's algorithm adopted a broader semantic search model that took drastic steps toward understanding the meaning of searches and content. This allows Google to more accurately determine search intent and match users with more relevant results.