Semantic search: how do you optimize content for semantic search?

What is semantic search?

For anyone wondering what semantic search is, it comes from the concept of semantics. And what is that? Semantics is the science that deals with the meaning of linguistic constructs such as words.

To do that, Google needs to understand what a text is really about. The algorithm is getting better at this, and that will only continue to increase. Semantic search is not just a trend. It is the future of SEO.

Context and relevance in searches

Semantic search is all about context. Suppose you optimize a page for the word "sofa." Google uses context to determine whether your page is about seating or a financial institution.

With words like "fabric," "padding" and "legs," the algorithm understands that it is a piece of seating. Terms like "interest" and "savings account," on the other hand, point to a financial institution.

The challenge lies in finding those words and terms. But context alone is not enough. Before we get into that further, let me point you to the image below. This image from Moz, also explains the principle of semantic search incredibly well.

Bron: https://moz.com/blog/what-is-semantic-search

But how do you optimize for semantic search?

Very briefly, by discovering the relevant context and addressing it in your text.

As complete as possible (but relevant).

Because users love content that answers all their questions.

Content in which they can find everything they want to know.

And because Google wants to give its users exactly what they are looking for, Google also likes that complete content.

Okay, but where do you start?

We begin by creating a word cloud or word cloud.

Or just a (long) list of relevant terms that we can work into the text to provide more context.

This is because it provides guidance while writing your text.

You can refer back to it every time you are at a loss for what to talk about.

To do this, we start with a keyword research.

Because even though the search terms may ultimately matter less, we do need a broad keyword to expose its relevant context.

E-E-A-T and semantic search

Semantic search, then, is not just about context and search intent. Building trust is just as important. This is where E-E-A-T comes in. Experience, Expertise, Authoritativeness, and Trustworthiness.

Google judges not only what you write, but also how reliable you are as a source. This means that your texts should be contextually rich, but also substantiated with facts, clear author information and links to reliable sources.

By combining E-E-A-T with semantic search, you show Google and your visitors that you are a true expert in your field. But how do you start applying these principles in your content?

Start with keyword research

To find the right words and terms, keyword research is still the foundation.

Start by creating a word cloud, or simply a comprehensive list of relevant terms. This list will help you incorporate more context into your text and provide a handy guide while writing.

Any time you get stuck for a moment, you can reach back to this list for inspiration.

What are long-tail keywords?

Longtails are search terms that consist of your original keyword supplemented by additional words that clarify the searcher's intent.

After compiling a list of relevant terms, the next step is to identify relevant long-tail variations. You can find these keyword combinations using tools such as KWFinder, Keywordtool.io, Ubersuggest, or answerthepublic.com

Take the keyword "bank," for example. Longtail variants could be: 'orange leather sofa', 'sofa with buttons and gilded legs' or even 'big sofa for the office that you can plop down in on your break'.

The more specific the search term, the clearer the searcher's intent.

Screenshot Ubersuggest 'Bank'.

Deploy tools for semantic search

In addition to long-tail keywords, semantically related terms are also important. Think synonyms and related topics. For example, a text about "online marketing" should include words like "SEO," "social media" and "content."

Latent Semantic Indexing (LSI) helps you discover these connections and patterns. Tools like Niche Laboratory or the LSI Keywords Generator can help with this. They give you a list of terms and phrases that are semantically linked to your keyword.

Create subtopics for overview

Now you should have a long list of long-tail variants of your search term, queries, synonyms and semantically related words and phrases. Group them together and put the terms that fit together.

Using that list of grouped terms (read: subtopics), you can write new texts that fully cover the topic.

Or, of course, you check if your current texts are complete enough ... or if you can add a few more paragraphs to optimize your texts for semantic search.

I look forward to seeing the results!