Semantic search works to drive much more than the answers to the questions that we ask.
- Search for a plumber? Google knows your location and returns local results.
- Search for “restaurants near me”? Google knows your location and returns local results.
- Search for “corona”? Google understands the context. If it were a search made 12 months ago, you would have seen results about beer; now it is the virus.
- Search for “Amazn”? Google knows that you misspelled Amazon and returns results accordingly.
Moz use an example from The Simpsons.
Using semantics and entity-based search, engines can gain a better understanding of what users may want. For example, the image below shows a simplified illustration of what the data in an entity-based search algorithm would contain. It includes entities (people, places, things, concepts, or ideas) which are represented as nodes, and connected by their relationships as the arrows. The diagram shows how entity-based search seeks to connect various entities, in this case the individual Simpsons characters, which creates more depth to search responses.
So what should you do?
Lets look at a few ideas and some examples.
Write comprehensive and original content on topics within your expertise.
Don’t focus so much on keywords, as on excellent content that really helps people. Google’s computers understand synonyms and will equate them with the keywords you are tracking.
North Shore electrician, Jenco Electrical, write excellent content relating to saving money on your electricity costs. This is especially relevant over winter nd relates to real search queries that people are making. People also ask shows the following questions being asked on Google: