Semalt: Semantic Search And Why It Matters
Semantic search was implemented by Google in 2006 through the Hummingbird update. It is a more sophisticated search because it considers many factors when answering queries. The Hummingbird update introduced more than just conversational questions. It examines each word, context, and other information.
Ryan Johnson, the Semalt expert, states that the semantic search involves the use of a lot of resources. The search engine uses information it has collected over time to give precise results. Information gathered over time includes contexts which Google can learn based on user history, regional trends, seasons, spelling mistakes and other such factors that inform search patterns.
Consider when you type conversational queries and get precise results. Or when you see results showing auto corrected misspellings, information displayed in graphic rather than text format. All these point to semantic rather than keyword searches.
Semantic search emerged from the semantic web which is built on ontologies. Ontologies are frameworks of facts and information that make up a system of knowledge. So ontologies enable analysis of inputs based on a network of related factors.
How it affects search
Think of meta tags as simple semantic features in the semantic web, which provides a framework for data sharing on the web for searches in this case. Metatags represent a small trove of information as a semantic search to access more information from different web sources.
Semantic search is improving thanks to machine learning so that it takes a broad view of queries and considers factors that can pinpoint the intent of a searching user. If search results were solely based on keywords, you would have to sift through hundreds, maybe thousands or more results before you find the right result.
So when you think about accuracy and convenience, semantic search is better than simple keyword search, it saves time and makes web search easier. This is the best thing about semantic search.
Impact on websites
A notable effect of semantic search is that pages can rank highly despite missing some keywords. For instance, if a page conveys information about wooden deck repairs without the exact keywords phrase, it can still appear among the top results.
Search engines don't fully rely on the title tags and keywords but also consider user intent from their browsing behaviors. Other factors that affect search results include seasonal factors and local trends.
How it affects content marketing
Semantic search spells doom for keyword stuffing. It has forced marketers to invest more in the value of the content and readability. If you run your SEO and content marketing activities in line with the current best practices, semantic search is great news for you. Exact keywords are no longer the primary concern for any content marketer. Search engines can tell the meaning of your content and direct a user who needs it via search results.
The best content is intuitive in that it anticipates user's needs. So the advanced search capabilities mean you should understand your prospects better. Then your content will resonate with their intent, and the search engines can direct them to your page.