Semantic SEO: What It Is and How to Use It

Semantic SEO means helping search engines understand what your content means, not just which words it contains. Google now reads the relationships between words, topics and entities (people, places, organisations, products and ideas) to work out what a page is really about, rather than counting how often a keyword appears.

This guide explains how that works, why it matters for rankings and for AI answers, and gives seven practical tips for putting it to use.

• Semantic SEO is about search engines understanding the meaning of your content, not just the words on the page.
• Keyword density is no longer the lever it was. Coverage of the topic and the search intent matter more.
• Google connects things, people and brands through its Knowledge Graph, rather than treating words as strings of text.
• Google says the same SEO foundations apply to its AI Overviews and AI Mode, so this work counts there too.
• What matters most: cover the topic in depth, match the search intent and show that you belong in the subject.

Search for “how to make carbonara” and Google understands that you want a carbonara recipe. The pages that rank rarely repeat your exact words. When we checked google.co.uk in October 2026, only one of the seven ordinary results had “how to make” in its title. The rest had titles such as “Classic Carbonara Recipe” and “Easy spaghetti carbonara”, and Google also showed a block of recipe results.

In other words, you rank for “how to make carbonara” by publishing a good carbonara recipe.

Search engines used to rely heavily on whether a keyword appeared on a page. Write “running shoes” often enough and the page had to be about running shoes, surely?

That is why so much SEO advice once revolved around keyword density. Today you will find pages at the top of Google that mention their keyword only a handful of times.

The shift began in earnest in 2013, when Google rolled out Hummingbird, which it describes as a major improvement to its overall ranking systems. It is generally seen as the point at which Google started reading whole queries for meaning rather than matching them word by word.

Since then Google has added AI systems that read language more as a person does. It describes BERT, for example, as a system that lets it “understand how combinations of words express different meanings and intent”. The upshot is that Google often works out what you mean even when you phrase it badly.

Google’s systems now look at what a page means and whether it answers the intent behind a search, rather than how many times it repeats a keyword. Semantic SEO means working with that rather than against it, and it replaces the old focus on keyword density.

The exact keyword still has a job to do, above all in the page title, the H1 and the opening paragraph. Beyond that, raising the density rarely helps.

Anyone can stuff a page with keywords, so it sets nobody apart. Covering the topic properly does, and it brings other benefits with it:

• Fewer thin pages and less risk of keyword cannibalisation
• Your internal links and link equity are not spread too thinly
• Fewer pages to keep up to date
• Less duplicate content
• More effort can go into each page, which shows in how useful it is to visitors
• You are working the way Google recommends: its advice after core updates is to avoid quick fixes and make changes “that make sense for your users and are sustainable in the long term”

An entity is a thing Google recognises as distinct and well defined: a person, a place, a company, a product or an idea. The Knowledge Graph is Google’s database of facts about these entities and how they relate to one another.

Google introduced it in 2012 under the heading “things, not strings”: instead of matching strings of text, it would match things. Search for “Edinburgh” and Google knows it is a city, the capital of Scotland, and connected with Edinburgh Castle and the Fringe, without those words needing to appear together on any page.

For your rankings, this means Google is trying to connect your page to the right entities. A complete page about running shoes will also cover related things such as cushioning, trail running and the main brands. A B2B service page works the same way: a page about forklift hire reads as complete when it also covers operator training, servicing, hire periods and load capacities. The more clearly you place the page in the right context, the easier it is for Google to rank it and to draw on it for AI answers.

So don’t write only about the keyword. Write about the topic it belongs to, with the related concepts, brands and questions that go with it.

Google says there are no additional requirements for appearing in AI Overviews or AI Mode: the same foundational SEO practices apply. For complex questions, both may use what Google calls query fan-out, running several related searches across subtopics and sources and drawing on the results to build the answer.

That rewards the same things semantic SEO does. A page that only repeats a keyword offers little to draw on. A page that answers the question, explains the related concepts and stays within the search intent is far easier to use as a source.

So the work you put into semantic SEO does more than help in the ordinary results. In our experience, it is the same work that gives you a chance of appearing when someone gets an AI answer instead of a list of links.

In practice, semantic SEO comes down to three things: covering a topic in depth, matching the search intent and helping Google connect your page to the right entities. These seven tips are where to start.

It used to make sense to build a tightly targeted page for every keyword variant. Now that Google understands which searches mean the same thing, you need a content plan that says which keywords belong together on one page, and that is decided by what the words mean, not by how similar they look.

“Running shoes” and “best running shoes” look almost identical but bring up very different results. Someone searching for the general term is most likely ready to buy. When we checked google.co.uk in October 2026, seven of the nine ordinary results on the first page for “running shoes” were retailers’ and brands’ category pages.

Someone searching for “best running shoes” wants comparisons and expert opinion, and the first page reflects that. In the same check, nine of the ten results were tested round-ups, review sites and a runners’ forum thread, and only one was a retailer. Two searches a single word apart need two different pages.

A common mistake we see is a page with much the same keyword density as its competitors, but content that does not fit what the searcher wants. If you want to rank for “best running shoes” and your page is a shop category rather than a comparison, matching the round-ups’ keyword density will not get you there.

It works the other way too. Add “best” to the page title and headings of a category page and you change the intent you are signalling, so the results you appear in are likely to change as well.

Search for the keyword you want to rank for. Look at what the pages at the top cover, and do it better.

Covering a topic thoroughly helps a page rank. But thorough is not the same as “the more, the better”. Once you add material that falls outside the search intent, the page drifts away from what it is about. That blurs the picture for Google, and the page tends to rank worse.

Long-tail keywords are a quick way to grow organic traffic without taking on the biggest brands head-on.

Because Google understands what the searches mean, you don’t need to write out every variant. Give the main topic subtopics instead, each covering the long-tail searches that share an intent, and still use an exact phrase where it fits naturally.

Answering frequently asked questions is common SEO advice, but it is not always relevant. If a topic throws up a lot of questions, for example in Google’s “People also ask” box, and the pages ranking at the top include questions and answers, include them too.

Structured data tells Google exactly what the parts of a page are: a recipe, a product, a review, a company or a person. Google describes it as a way of “providing explicit clues about the meaning of a page”, so it does not have to guess which entities the page is about.

It will not take you to the top on its own, but it makes the rest of your semantic work clearer to Google.

Headings show Google, and your readers, how the page is organised. Use H1 to H6 in a logical order: an H1 for the page’s subject, H2s for the main sections and H3s beneath them where needed.

It is easy to assume semantic SEO just means writing long pages packed with related words. It is broader than that, and rests on three things:

• Information architecture: how your pages fit together and link to each other, so that Google can see which page leads on a topic and which pages support it.
• Topic clusters: covering a subject with a group of related pages rather than one page that has to do everything. Over time this builds topical authority.
• Demonstrated expertise: Google being able to connect the content to a brand or author with standing in the subject. Getting the facts right is not always enough; Google also looks at who is saying it, which is what E-E-A-T describes.

Semantic SEO is not a setting you switch on in the copy. It is a way of building the whole website so that Google understands what you do well.

When a page won’t rank for its keyword at all, semantic SEO is often the fix. Our rule of thumb: if the basics are in place, with the keyword in the page title and headings, and the page still sits on page three or lower, more keyword repetition will not get it onto the first page.

Look at intent first. Check whether your page title and headings signal the same intent as the pages that rank, and change them if they don’t. If your page also looks completely different from theirs, a sales page where they are guides, for example, change the format and layout as well.

Semantic SEO is not new, but in our experience it has become steadily more important. Putting the keyword in the right places gets you into the game rather than ahead in it, because anyone can do that.

Don’t overthink the rest. If you know the subject, most of this happens naturally. If you write about something you don’t understand, it is easy to miss what matters.

If you want pages that cover their topics well enough to rank and to be cited in AI answers, our SEO service can help. A free search audit of your site is a good place to start.

Semantic search means the search engine interprets the meaning and intent behind a query instead of only matching the exact words. Google tries to understand what you are looking for, not just which words you typed.

Traditional SEO concentrates on getting the right keywords into the right places. Semantic SEO builds on that: it covers the whole topic, matches the search intent and connects the page to the right entities, so that Google understands the context.

The exact keyword still matters in the page title, the H1 and early in the text. Chasing a particular density does not. A page that mentions the keyword less often can outrank one that repeats it, if it covers the topic better.

Write about the whole topic, not just the keyword. Mention the related concepts, brands and questions that belong to it, and use structured data to tell Google exactly what the page is about.