The search algorithm has been modified several times over the past few years. The changes have moved from a strict keyword search to a semantic search based on quality content, relevant keywords, and phrases.
The days when we only dealt with well-defined and leased keywords that we definitely had to incorporate into our content in order to achieve high positions in google search are long gone. Today we have to think semantically.
Again, it is necessary to look for perhaps not so clearly visible connections everywhere. If you want to play a “Google game” and take everything Google has to offer, you’ll need to make a few changes. These changes will need to be reflected in the content. You will need to think “outofbox” and look at the content from a different perspective.
In this article, we are waiting to reveal all the details and contexts that are related to the algorithm.
But let’s get along nicely.
What does semantic search mean?
Semantic search actually refers to the way search tools work. They use multiple resources to bring you the best results here and now, the results at the time you search for a particular term.
Technopedia is a semantic search:
“A data search technique that doesn’t just focus on finding relevant keywords. Its main purpose is to determine the contextual meaning of the word or phrase that the person used in their contribution. Search engines also take into account what people have been looking for so far and look for links between searches. ”
So it’s definitely a step forward compared to the traditional way search engines have worked.
Semantic search engines are artificial intelligence. Their algorithm learns to match individual users’ search results based on their past searches.
The form of semantic search is already evident in the following example:
This is proof that Semantic Search was there before the Google Hummingbird update itself, which came in 2013. After this update, we began to perceive intuitive search features more.
You can even talk to Google. Conversational questions work on the principle of semantic search. So since the Hummingbird update, Google has been paying attention to the overall context. Not just individual keywords. As I wrote at the beginning, it’s about context. And they show up right here. Without this capability, algorithms would not be able to exist and conversational questions would not be possible.
Technopedia further writes:
Semantic search works on the principles of language semantics. Unlike typical search algorithms, semantic search is based on the context, intent, and overall concept of the search term. Semantic search also includes synonyms, current trends, current situation, various word variations, natural language. Semantic search concepts are derived from various search algorithms and methods, including keywords, mappings, various patterns, graphs, and logic.
Why should we start thinking semantically when writing content to our site?
Jump on this running train. It’s the best time. You can’t lose anything. Just get it.
1.) Increase your search engine ranking
While former software engineer Matt Cutts has said in the past that semantic searches will not improve Google search rankings, it is minimal that your content will appear to the widest possible audience looking for relevant answers.
2.) Improve your clickthrough rate
Semantic search also makes your result more visually appealing.
The traditional view looks something like this:
OBR without and with spippet.
The snippet includes star ratings, page snapshots. The snippet ensures that your content appears in the search exactly as you need it. Social networks such as Facebook, Twitter, LinkedIn or Google+ have their own semantic structure.
3.) Make your content easier to access
Create clear and concise page titles as well as page descriptions.
4.) Relevance for the reader
Think about the end user, your reader and the customer. Create contextually relevant content. Publish useful and relevant information.
Ultimately, we don’t know much about how semantic search works. Of course, Google keeps a few things locked in a drawer. However, it is clear that Google learns very quickly and a lot about each user’s search behavior. The results that Google provides us reflect not only our search habits, but also the habits of everyone else. People who searched for specific questions, phrases, or words with Google in the past.