Previously, search queries were usually made up of a single or a few words linked together. However, the intricacy of human language was not taken into consideration in the search results.
The search results were disjointed. It was primarily a game of luck to get the response you wanted. (In fact, it’s probably one of the reasons why Google created the “I’m Feeling Lucky” button, which allows you to skip all of the search result pages, or SERPs.)
Users would add more keywords to their queries in an attempt to achieve better results. However, this frequently backfired: Google would examine certain keywords within the query and provide different results for each. Then, regardless of r, it would rank everything.
Keywords have become intrinsically meaningless since the emergence of entity-oriented search (a term used by former Google researcher Kriszrtian Balog). Or, to put it another way, focusing on keywords and their ranks has become pointless.
Keywords are still useful in certain situations, such as performing research. However, optimising content with specific keywords — and attempting to rank for them — is rapidly becoming obsolete.
Chasing precise keywords is meaningless today, with digital assistants, intelligent devices, and voice search allowing users to ask long, sophisticated, and nuanced questions.
Keywords have become intrinsically meaningless since the emergence of entity-oriented search (a term used by former Google researcher Kriszrtian Balog). Or, to put it another way, focusing on keywords and their ranks has become pointless.
Keywords are still useful in certain situations, such as performing research. However, optimising content with specific keywords — and attempting to rank for them — is rapidly becoming obsolete.
Chasing precise keywords is meaningless today, with digital assistants, intelligent devices, and voice search allowing users to ask long, sophisticated, and nuanced questions.
Focus on subjects rather than keywords.
The term “anti-dandruff shampoo” is more than just a keyword in the previous example. It’s a subject. It might be a subtopic of an article about different types of “shampoos,” or it could be an umbrella subject about dandruff control. In any case, context is crucial.
Focusing on topics eliminates the need to compete for individual keywords. It’s no longer necessary to perform backflips in order to cram irregular, strange, and frequently misspelt keywords into content only to rank for them because they’re popular.
Trying to put “best covid soap toronto” into a sentence as is, for example, is pointless, to say nothing of mind-numbingly tough.
While keyword research is still necessary, it’s more important to understand what themes the user wants to learn about, what topics have already been covered (or haven’t), and what topics to write about that will provide all of the information needed to increase search signals.
Additional actions can certainly help, but they aren’t required. Select the most frequently searched keywords that fit inside the topic’s umbrella, for example. Then use these keywords in the page’s headings and subheadings, as well as the HTML.
Everything else, including the correct keywords, will fall into place organically if the topic content reflects what the reader is truly interested in and searching for. All that’s left to do from an SEO standpoint is make sure the material is properly formatted.
What matters is the interaction between subjects and material. Some themes are more broad and inclusive than others. Others could be subtopics or connected subjects.
In two ways, a piece of content can cover an umbrella topic. To ensure that it covers the issue thoroughly, it may first divide it down into subtopics on a single page. It could also involve many pieces of material, each of which covers different subtopics that are linked together.
Topical clusters are like wheels, with hubs and spokes, similar to the map of nodes and branches outlined above with entities and the Knowledge Graph.
Keywords were formerly categorised and organised into categories or silos. While this may still be effective for arranging content, it is linear and does not reflect how subjects (and their relationships) work. Consider a mindmap as an example.
Whereas old-school SEO was centred on keywords and their search engine popularity, today’s SEO is based on themes and how valuable they are (to the reader).
The former required authors to develop material first for search engines and then for people. Because the search engine is now the user, it has been not only flipped but also streamlined.
In other words, machine learning algorithms are assisting search engines in becoming more intelligent by allowing them to learn and understand language in the same way that humans do. As a result, writing for search engines is no longer a viable option. It’s pointless.
It’s like attempting to translate something that will inevitably be translated back. As a result, this process is not only unnecessary, but it can also be harmful because information might be lost in translation.
In the end, writing for the user is preferable. Concentrate on making them happy. Provide them with the best possible material as well as the best possible experience while consuming it.
When you write for your target audience, you’re also writing for Google. If you do this, you’ll be sending all the appropriate search signals. Keywords will be used, links will be earned, mentions will be gained, authority will be built, word of mouth will be generated, you will rank well, and traffic will be driven. Naturally.
That’s SEO in the modern era.