Semantic search: how to make your content future-proof

Semantic search is the way modern search engines understand the meaning and the intent behind a query, instead of only matching exact keywords. Put simply: Google no longer looks at the words you type, but at what you actually mean. For B2B companies, that means you no longer win by repeating keywords, but by covering a topic completely and clearly. In this article you will read how it works, why it affects your leads and what you can do concretely to make your content future-proof, including for AI search.

Curious how AI sees you? Run your page through our GEO check.

What is semantic search?

Classic search technology works with keywords: your query is matched against documents that contain those exact same words. This is also called lexical or text-based search. Simple, fast, but it often delivers less relevant results.

Semantic search goes further. It uses technology such as natural language processing (NLP) and machine learning to understand the meaning of words and the intent behind a query. A semantic search engine takes into account:

• The relationships between the words in the query
• The searcher’s location, certainly for local searches
• Previous searches, which give context about what someone is really looking for

The result: content that matches the context of the question and the search intent, so the searcher immediately gets what they need. If you want to understand more broadly how this fits into your visibility, read our guide on what SEO is.

How does semantic search work?

Under the hood, semantic search technology leans on four building blocks that work together:

• NLP lets the search engine interpret the meaning and intent of a question.
• Machine learning lets the search engine learn from enormous datasets and deliver ever more relevant results.
• Knowledge graphs map how entities (people, places, things, brands) are connected to each other.
• Vector embeddings turn words into mathematical representations, which lets the search engine measure how closely two pieces of meaning resemble each other.

That last one is the core idea. Instead of comparing whether two texts contain the same letters, the search engine compares whether they mean roughly the same thing. That is how it can also understand longer, spoken queries and still find the right answer.

Is Google a semantic search engine?

Yes. Over the years, Google has evolved step by step from a keyword engine into a semantic engine. A few milestones make that clear:

• 2012: Knowledge Graph. Google’s database of information about entities such as people, places and things (Google).
• 2013: Hummingbird. A major algorithm update that shifted the focus from isolated keywords to matching topics through natural language.
• 2015: RankBrain. Google’s first AI system that analyses how words relate to concepts, in order to show more relevant results (Google).
• 2019: BERT. An NLP technique that helps Google better understand more complex, spoken queries.
• 2021: MUM. A generative AI tool that not only retrieves information, but also composes answers.

You can see that step-by-step evolution in the key milestones: every update took Google further away from isolated keywords and closer to understanding meaning.

The common thread: every update brought Google closer to understanding meaning. Today, that thinking sits right inside the AI Overviews at the top of the results, and inside AI tools such as ChatGPT and Perplexity. Read more about it in Google on AI in search. How you become visible there is covered in our guide on SEO for AI.

Why semantic search matters to you

Queries are getting longer and more complex. At the 2024 Google Marketing Live keynote, Philipp Schindler said that queries of five or more words are growing 1.5 times faster than shorter queries. People increasingly type full questions, not isolated keywords.

That is exactly what semantic search is good at. For your B2B company, that has three concrete consequences:

• More relevant results. The search engine understands complex questions and serves the right answer immediately, without the searcher having to rephrase five times.
• A better experience. Whoever finds a good answer faster clicks through faster and bounces less.
• More chance of conversion. If you show up in the relevant results for a purchase-oriented question, that increases your chance of a lead.

At Customer Impact, that shows one misconception the door straight away: repeating keywords until your content becomes unreadable. That does not bring in customers. What does work is treating a topic so completely and so clearly that both Google and the reader see you as the authority. We steer on leads and revenue, not on a ranking number that gets nobody anywhere.

Seven ways to make your content future-proof

How do you translate semantic search into concrete actions? These are the approaches that make the difference.

1. Write in natural language, no keyword stuffing

Stop artificially repeating keywords in titles, text and meta descriptions. It reads badly and, because semantic search looks at topics rather than exact words, it is unnecessary. Write the way your audience speaks. Feel free to use “best running shoes for your first marathon” instead of the clunky “best running shoes first marathon”.

2. Use semantically related terms

A semantic search engine wants to understand the broader topic of your page, not just your main keyword. Help it by including related terms. If you write about a service, also cover the related concepts, variants, characteristics and examples that logically belong to it. That is how it becomes clear that you truly master the topic.

3. Build topic clusters and pillar pages

Targeting one keyword is no longer enough. You have to show the breadth of your knowledge. Organise your site around:

• Pillar pages that cover all the major aspects of a topic.
• Topic clusters: groups of articles that treat subtopics in depth and link back to the pillar page.

That is how you build topical authority: the signal that your company has plenty to say about this theme. This lines up with what Google advises about helpful content. You can read more about it in our SEO strategy.

4. Work on your internal links

Internal links do two things at once. They help your visitor find more relevant content, and they expose the semantic relationships between your pages to the search engine. That way Google understands how your content hangs together and what you have authority on. A pillar page with many links to deeper articles therefore says literally: this cluster belongs together.

5. Understand search intent and act on it

To score semantically, you need to know what your audience is searching for and why. SEO tools usually split search intent into five types:

• Informational: someone wants to learn something or get a question answered.
• Commercial: someone is comparing options for a decision.
• Transactional: someone is ready to take action, for example to buy or get in touch.
• Navigational: someone is looking for a specific site or page.
• Local: someone is looking for a product or service nearby.

Match your content to the right type. A comparison question deserves a comparison, not a sales pitch. Honest advice is part of that too: sometimes the right answer is that a particular investment is not worth it for your reader. That builds trust, and trust wins leads.

6. Deploy structured data

Structured data is code with which you label elements of your page, so search engines understand them better. You can use schema markup for FAQs, how-to content, reviews and videos, among others. It can trigger rich results (rich snippets) and, even if that does not happen, it gives the semantic search engine valuable context about your content. How to tackle this technically is covered in our guide on on-page SEO.

7. Think beyond your website

A semantic strategy does not stop at your site. Video on YouTube and content on social channels give extra opportunities to serve the searcher, and they show up in search results more and more often, for example in carousels with user opinions and forums. Optimise the title, description and script there too around the same topic, so that everything points to the same meaning.

What does this mean for AI search and GEO?

Here is the real good news. Everything semantic search rewards is exactly what AI search engines need. GEO, generative engine optimization, is about being mentioned in the answer an AI model gives, instead of only getting a blue link.

AI models cite content that is clear, well structured and trustworthy, the same signals semantic search values. So whoever invests now in meaning, entities, topic clusters and structured data makes their content ready in one single move for both classic search results and AI answers.

If you want to see this handled professionally, you can also hand it over to our SEO service.

Frequently asked questions about semantic search

What is an example of semantic search?

Suppose you search for “running shoes” in Ghent. A keyword engine simply shows pages with that word in them. A semantic search engine such as Google understands that you probably want to buy shoes nearby and combines that with your location and previous searches. That way you get relevant lists and local shops, instead of random pages that happen to contain the word.

So should I stop using keywords?

No. Keywords remain useful to signal what your content is about. The difference is that you weave them in naturally and supplement them with related terms and context, instead of repeating them artificially. Write for the reader, not for a keyword counter.

What is the difference between semantic search and latent semantic indexing (LSI)?

LSI retrieves documents based on the similarity between words in a text. Semantic search goes one step further: it understands not only the similarity, but also the relationship between words and the intent behind them. That is why it delivers more relevant and more accurate results.

Does this also work for a small B2B company?

Certainly. You do not have to be a huge content team. By thoroughly covering one topic that sits close to your expertise with a handful of coherent articles, you build authority faster than a big player who writes half-heartedly about everything. Small and focused is an advantage here.

Getting started with semantic search

Semantic search is not a trick, but a way of working: treat every topic completely, clearly and in the language of your audience. Do that, and your content scores in Google today and in AI answers tomorrow, without having to build twice. And do not look at vanity ranking numbers, but at what counts: click-throughs, leads and revenue.

Want to know which topics deliver the most for your company, and which ones you are better off leaving alone? We think along honestly, with a small team that moves fast. Schedule your free intake