Since it’s conception, the Google algorithm has strived to make search results as relevant to the user as possible. One of the many factors that goes into determining who shows up for what fits under the umbrella of “semantic search”, sometimes referred to as machine learning algorithms.
Want to rank number one for your target keywords? Read our blog below and learn about this crucial component of the Google algorithm!
- What’s “Semantic Search”?
According the dictionary, “semantic” refers to the meaning or definition of something, whether it be a person, place or thing. In terms of Google, semantics refers to the etymology or study of words and why they mean what they mean. In the simplest of terms, semantic search aims to understand the intent of a searcher based off the context of their search query. With this, Google can potentially give the most relevant results to searches!
- Why is Semantic Search Important to Search Engines?
The answer should be obvious; Google wants to make sure there is a decreased amount of spam in search results, and be able to provide users with the answers they are looking for. If your company website is relevant and important to potential leads, can semantic search negatively or positively affect your search engine ranking?
- How Lower Quality Content Affects Your Website
Semantic search helps to discourage low quality content from showing up for specific search queries. Article spinning and keyword stuffing are two commonly used approaches by low-end digital marketers that will be flagged by semantic searches algorithm.
To avoid any negative repercussions from semantic search indexes, make sure to do all of the following with your web content:
- Provide valuable information
- Develop content that answers questions
- Make sentences answer based