Keyword Clustering: How to Group Keywords

Keyword research is the primary task of any SEO strategy. Besides finding the most profitable terms you can rank for, there’s a whole deal of work that goes into analyzing them before putting them to use. 

Keyword clustering or grouping is the process that helps you sort the keywords you’ve collected, prioritize them and filter the irrelevant ones out. It maximizes your chances to rank well, and we will explain why.

In this article, you’ll learn everything you need to know about grouping search terms so that you can develop your own keyword clustering strategy and benefit from it.

What is keyword clustering?

Keyword clustering is combining similar, relevant queries into groups (clusters) and using whole groups instead of separate terms for site creation or optimization. It helps clean up the extensive keywords list by dividing it into manageable clusters.

Grouping keywords has always been a major step in building a website. 

• It became especially apparent with the shift toward topic-focused SEO in 2013, when Google rolled out its Hummingbird update and the algorithm started focusing on phrases instead of single keywords. 
• The shift was supported further by the 2015 RankBrain update: the algorithm became smarter and could define themes of search queries and find multiple similar phrases.
• Another breakthrough happened in 2018 and 2019 when Google introduced a neural matching approach and the BERT update. They helped the search engine better understand the search query’s context because the focus was shifted from terms to the entire query. Google managed to understand how words, synonyms, and prepositions in different combinations express different intents and meanings.   

There are two major types of keyword clustering: 

• Morphological-based—that finds similarities in the meaning of phrases and their morphological matches like stem or root words
• SERP-based—that looks for matches among search results.

Benefits of keyword grouping

The beauty of keyword clustering is that it helps you better understand search intent. Intent-focused SEO offers a more thorough response to users: when you put similar phrases together, you target a topic (user intent) instead of a single keyword, and therefore you are more likely to cover this intent. 

Such search-intent-based keyword clusters describe the context and provide a clearer picture of what content to create in order to provide users with what they’re looking for. You can organize content more effectively across pages, identify the phrases worth ranking for, and determine how to promote different segments of your site.

Before we get into the nuts and bolts of keyword clustering fundamentals, let’s go over some other benefits of grouping search queries. Doing this will help you:

• Maximize the number of terms to rank for. With keyword clusters, you can rank for a number of related keywords united by the same intent instead of targeting single queries separately.
• Remove unnecessary keywords. Keyword grouping makes a huge list of keywords more manageable and comprehensive—you will be able to spot irrelevant queries easily. SE Ranking’s keyword grouper software will provide you with ungrouped keywords that don’t match any topic the tool distinguishes and will let you recheck if you need them in your strategy. 
• Understand the potential of segments. Keyword clusters you receive as a result will help you understand how different pieces of content are or should be connected. This process will allow you to see your site from the search engine’s perspective and evaluate different categories you have or should better have. 
• Create an effective site structure or analyze the existing one. Keyword clustering helps you analyze semantic relationships between your pages and improve your site architecture.

• Boost your site’s visibility and authority. Thanks to keyword grouping, you can have a better grasp of semantics and make your content more powerful, which, in its turn, will make your website more authoritative in the eyes of search engines.
• Save time and eliminate errors. If done automatically, keyword clustering gives you all the above-mentioned benefits quickly and efficiently.

Manual vs. automated grouping

There are plenty of tools for automating the keyword clustering process, although some might still prefer doing it manually with the help of Excel, Google Sheets, or other programs. It’s one thing when you have a hundred words, but when research for a project leaves you with thousands of keywords, imagine how time-consuming it will be to manage all of them manually. 

Manual grouping will require you to break each keyword into groups, define their intent, and make lists of phrases based on the parameters you need. This approach works better for more detailed keyword research within a specific niche topic. You should understand the nuances of different search intents within it and know what to search for. But it takes a long time and is unlikely to work if you have a large list of keywords.

The biggest disadvantage of manual grouping is that SERP data stays out of focus. If you have a huge list of keywords, you can’t properly analyze search results for each keyword and investigate matching URLs, which is a must for qualitative clustering. So, we would suggest using this technique when you need to cluster keywords for one or several pages. If you have a new site or a large list of keywords, the automatic grouping method is more effective. It is also helpful when you need to analyze the niche in general or when you need to plan your website’s structure.

SE Ranking has its own automated keyword clustering tool that will save you time and effort and will get the job done for you. You’ll get insights into what your keywords comprise and how to segment them into usable clusters without the hassle of going over each and every query you’ve collected.

How to create keyword clusters with SE Ranking

Now that we know how powerful keyword clustering can be, let’s look at how to do it using SE Ranking’s tools. Competitive and Keyword Research helps you with initial research, while the Keyword Grouping Tool does all the grouping for you in a matter of minutes. It groups search queries based on their SERP similarities and allows you to distribute keywords across your website. Not to mention that the tool highlights SERP search terms and displays accurate search volumes.

Let’s proceed in order, starting with keyword research.

Initial keyword research

To sort keywords into topic-centered clusters, you need to collect a full list of keywords first. Collecting as many queries as possible is your first fundamental task in the process of building and promoting your website. The initial keyword research process will help you explore what users are searching for in your niche and how your competitors handle keywords. 

There are many keyword research tips and methods for finding keywords for your website. You can use SE Ranking’s Keyword Search Tool to analyze search queries that are already in your list. This tool provides you with all the data you need, including:

• Keyword difficulty
• Keyword search volume
• Organic results for the analyzed search term with ranking dynamics

The tool also includes Keyword Suggestions where you can find phrase-match and related keywords. Explore low-search-volume phrases and questions to fully grasp your niche and expand the number of keywords to rank for.

While doing research, note that there are different types of search queries. You can use various criteria to analyze them, but the following ones are among the most popular: 

• Length (or word count) and specificity (short and long-tail keywords as well as question-like queries). Short-tail keywords usually have an extremely high search volume but are also very difficult to rank for. This classification, then, refers mainly to the keyword’s competitiveness.  
• User intent (navigational, informational, transactional, commercial). The different goals that users have will give you an idea of the type of page you’ll need to create for certain keywords as well as the likelihood of conversion. 

To check the keyword by word count, use the filter in SE Ranking’s Keyword Suggestions as shown in the screenshot below.

To understand the search intent behind the keyword, go to the Organic Results for the term and look at the content that other websites are publishing.

Defining and analyzing your competitors is another major step in keyword research. Explore who’s leading in organic search results and what are their most profitable keywords and discover the best-performing PPC ads in your niche. Semantics comparison available in SE Ranking’s Competitive Research (Overview tab) can show you keyword overlaps between different domains: phrases common for your major competitors will be on your must-target list. Click on the Missing tab to get a full list of keywords that your website does not rank for. 

Creating keyword clusters

Now that you have a full list of keywords existing in your niche, it’s time to create keyword clusters and eliminate the queries you won’t need. Let’s compare how grouping works if done manually and automatically and then review all the steps you need to take to cluster your queries in SE Ranking.

Manual keyword clustering strategy

To create keyword clusters manually, you can filter the list by their word roots or type of intent. For example, you have a huge list of queries about ‘photo editing software.’ 

• You can look for different types of phrases while keeping the search intent in mind. Consider questions like ‘how to install a photo editor,’ ‘is there a photo editor for mac,’ specifications like ‘photo editor for free,’ ‘best paid photo editor,’ and so on. To check the keyword’s intent, Google it and visit the most popular sites from the search results to get a full picture of searchers’ needs. You’ll be able to segment queries more effectively this way.
• You can identify all the different terms appearing in the search results (say, ‘photo editor,’ ‘photo program,’ ‘picture editor,’ ‘collage creator,’ and so on) and group those keywords that contain identical terms.
• You can create tags for different aspects of a keyword: say, usage type (online and offline), transactional intent (buy, download, install, find, etc.), device specification (PC, Mac, Android, iOS, etc.). Then, you’ll have to cross-match the tags and create clusters.

Automated keyword clustering strategy with SE Ranking

SE Ranking’s keyword clustering tool filters queries based on their SERP similarities. It looks for matches in the search results for given keywords and clusters phrases that have identical pages ranking for them. You can find this tool by hovering over the More section in the top horizontal navigation bar and choosing Keyword Grouper from the drop-down menu.

To start grouping keywords in SE Ranking, you need to select your region and optionally interface language. Focus on the regions you want to promote your website in and perform grouping separately for each language if you’re targeting several of them. Then, you have to choose the level of grouping accuracy and the grouping method—these are the factors that will influence your results.

Finally, you have to insert your keywords—you can add them manually or import from a file. Select if you want to check the search volume on top of grouping (it can also be uploaded separately) and run the tool. Now you need to wait a bit while our system looks for matching results and clusters your keywords based on the given number of identical pages in the top-10 results.

Choosing the grouping method and accuracy

Now, let’s dig into how different settings work. There are two major parameters to select: grouping accuracy and method.

How does keyword grouping accuracy in SE Ranking work

Keyword grouping accuracy (ranges from 1 to 9) indicates the minimum number of matching URLs for the queries. For example, if you set it to 3, phrases will be grouped together only if they have 3 identical URLs in the search results. The higher the accuracy is, the fewer matches there will be and the fewer terms will be included in each keyword cluster.

Similar queries naturally have same URLs in the SERP:

Let’s pass the same set of keywords through different accuracy settings and compare the results. We’ve taken 212 queries on the topic of photo editing software and clustered them using the soft method with the maximum (9) and minimum (1) level of accuracy.

High-accuracy grouping gives us more specific categories to work with and also leaves a lot of phrases ungrouped:

We get the idea of different searchers’ needs with such settings: we can see that people are looking for photo editors for different operating systems, for online and offline mode of operation, and so on.

However, many clusters separated by the tool can be logically grouped together: ‘best photo edit software’ is semantically no different from ‘best software photo editing.’ So, we need to work on such keywords manually, as well as on the ungrouped ones.

By contrast, low-accuracy keyword clustering leaves us with broader clusters which doesn’t help much in categorizing different intents:

With such settings, you will probably need to manually regroup most of the keywords, matching their meanings. It’s generally a good idea to implement both automated and manual grouping techniques.

How SE Ranking’s keyword clustering methods work

Method (hard and soft) defines how search queries are compared: soft grouping compares all queries against the one with the largest search volume, while hard grouping compares queries against each other. 

Soft keyword clustering strategy gives a more generalized idea of the niche and different keywords your competitors are targeting. With this approach, you will also get fewer ungrouped queries (shown at the bottom of the results page in the Ungrouped cluster)—those that you’ll have to sort out manually and decide if you want to use them in your SEO.

Hard keyword clustering strategy can help eliminate irrelevant search queries and distinguish many user intents. Comparing queries against each other gives a wider choice of specific intents and creates more clusters even with the lowest level of accuracy:

However, low-accuracy grouping—even when done using the hard method—ignores many important differences inside each group. For example, a list grouped under ‘photo editing software free’ includes keywords that are not directly related to each other: ‘windows photo editing software,’ ‘easy photo edit software,’ ‘downloadable photo editing software’ represent different search intents.

High-accuracy hard grouping, in its turn, might ignore the similarities between several clusters. For instance, we got ‘best photo edit software’ and ‘best software photo editing’ as separate clusters, which doesn’t make much sense semantically.

Let’s sum up the characteristics of each approach to keyword clustering available in SE Ranking:

	Number of clusters	Ungrouped keywords	Intent differentiation	Best for
Soft method / Low accuracy	Many big clusters	Average number of keywords	High relevance within groups; some similar keywords put in different groups	Discovering your niche in general
Soft method / High accuracy	Medium number of smaller clusters	Most keywords	Some search intents missed	Segmenting your niche
Hard method / Low accuracy	Medium number of small clusters	Average number of keywords	Many intents detected; low relevance within groups	Learning different searchers’ needs
Hard method / High accuracy	Few very small clusters	Most keywords	Some search intents missed; high relevance within groups	Segmenting keywords to the fullest extent

Managing grouping results

Regardless of the chosen settings, each group is named after the keyword with the highest search volume. On the results page, you can access the information about the number of matching URLs, the top-10 results with the keywords included in groups, and snippets containing these keywords. If you choose to perform a search volume check, grouping results will also show this metric.

Once you know which groups work for you, check-mark and export them to your project. Under the project’s settings, you can create and name your own clusters, as well as add comments to any keyword. There’s no automation in how to distribute the groups across the website’s pages: you can create several pages to cover a large keyword cluster, as well as combine a few clusters.

It’s reasonable to combine manual and automated approaches: by passing your keywords through an automated tool, you’ll be able to analyze how search engines see those phrases, and regrouping the clusters afterward will allow you to take into account your goals and a particular website’s structure.

If you need to do basic topic analysis, or if you are an SEO beginner or copywriter who doesn’t need to delve into all the technical details, use Content Idea Finder, which was recently released as part of SE Ranking’s Content Marketing Tool.

This tool will help you quickly generate topics that have already been divided into clusters, which you can then use for content planning or writing Or they can become your starting point for further research.

Just enter your seed keyword (the one most relevant to your website topic or business niche) to get a list of keywords and phrases organized into topically related clusters.

Each keyword cluster consists of 10 terms that are semantically close to the keyword with the largest search volume in the cluster. Suggested terms come along with important SEO (search volume and difficulty) and PPC metrics (CPC and competition).

In addition, you can view similar web page titles that rank in the top 10 search results for the keyword with the highest search volume in the cluster.

You can also view keyword cluster results in mind map format, which means your primary term will be located in the center and surrounded by clusters.

Creating content and ads based on keyword clusters

Grouping helps you sort out your semantics and build an effective website structure. Based on the clusters you get as a result, you can develop your site’s page hierarchy, categories and subcategories, filters, etc. You can use the following rule to determine which pages (and how many of them) to create: one search intent = one keyword cluster = one page. While keyword clustering is a major step of making a structure, it also can facilitate your content and ad creation.

Having separate keyword clusters on your hands, you can maximize the number of phrases your content ranks for. When you decide which group corresponds to which page and section of your website, you can unlock more terms to include in your content: exploring the full list of keywords within a group will allow you to find some new concepts and intents to cover. This way, you’ll make your content more trustworthy and on par with the user’s expectations. 

The same applies to your paid campaigns. Google Ads allows you to create ad groups in a similar manner as you create keyword clusters. For each ad being shown, Google chooses it from ad groups based on relevancy to a particular search. 

Promoting your website’s offers with the help of keyword clusters is more effective. For example, if you’re targeting various ‘healthy snacks’ and don’t narrow your campaign down to several specific ad clusters like ‘weight-loss-friendly snacks,’ ‘vegan snacks,’ ‘organic snacks,’ ‘healthy snacks for kids,’ and so on, you might end up with your ad being totally irrelevant to the search intent. And if your ads turn out to be useless for searchers, you will get a low Quality Score and Ad Rank. 

Relevance is crucial for paid advertising. The more relevant the keyword, the higher the chance that the ad will have a high CTR. This reduces conversion costs while increasing their number. For example, if a potential client searches for iPhone 14 pro max 128gb pink, we can assume they want to land on the iPhone 14 pro max 128gb pink product page, not on the Apple category page.

Keyword organizer tools can distinguish different intents and group similar ones together, as a result making your content and ads more helpful.

Once your content goes live

Working with clusters doesn’t end after your content is published. 

It’s crucial to check whether search engines see your clusters the way you see them. In other words, you need to check which pages rank for the selected groups of terms. If the wrong pages get into the search results for a certain keyword cluster, this can indicate that either your page isn’t properly optimized or you have keyword cannibalization problems (two pages are optimized for the same keyword cluster).

There are several ways to check rankings.

Keyword Rank Tracker

Using SE Ranking’s search engine rank tracker, you can see pages that rank for a certain keyword and check their ranking history for it.

Just go to your project and choose Rankings report. In the Keyword table, you’ll see all of the keywords that you added when creating the project. Ideally, these should be the terms your web pages are optimized for.

Pay attention to the URL column. The blue link icon contains the page ranking for the keyword. Hover over it to see the **** the page was first discovered and its URL address.

The number near the link icon indicates that several pages rank for the keyword. Hover over it to see the pages as well as the dates on which the URLs changed.

The gray link icon indicates that none of your pages rank for this keyword.

Your task is to ensure that the page you have optimized for your chosen keyword cluster appears in the URL column and, accordingly, in the search results. If you see the wrong page there, you should review its keywords and content.

You can also assign target URLs to keywords. This will help you track whether your target page gets to the SERP for a particular keyword or whether another page replaced it.

Hover over the keyword that you want to track and click on the additional settings button. Select Target URL, then either enter the URL or select the suggested one.

Next to the selected keyword, you’ll see a gray link icon indicating that the target URL is assigned. If the page that ranks for this keyword differs from the target address, the link icon in the URL column will become red.

Google Search Console

Checking which pages rank for certain keywords with Google Search Console is a bit less convenient. It requires more work, but it’s still doable.

If you haven’t set up GSC yet, check out our guide on it. It describes the entire process clearly and succinctly.

Once you’ve successfully set up GSC, go to the Search Results tab in Performance Report and click on Pages.

Here, you’ll see all your web pages. Click on the one that you want to check and go to the Queries tab.

This report displays all of the search terms for which the chosen page appears in the SERPs. These search queries should match the keyword cluster for which the page was optimized.    

Alternatively, you can start by choosing the search query in the Queries tab and then go to the Pages tab to see if your target URL gets the most impressions for that query. If another page is getting more impressions for your chosen search query, this means that it’s more relevant to Google.

Final words

Semantic grouping is a powerful SEO tool that will help you organize the content, diversify your language, and rank for more terms. When you expand your list of keywords, break it down into separate closely related clusters and use them to cover different user intents.

Now that you know about keyword clustering fundamentals, you can choose the most suitable approach for your website. 

• You can create keyword clusters based on their morphological features or according to their similarities in SERPs. 
• Apply manual or automated keyword clustering techniques depending on your niche and particular SEO goals. Manual clustering is good for one-page clustering, whereas automated clustering is better for grouping keywords across multiple pages or for a new website.
• If you choose automated keyword clustering, select the method (hard or soft) and the level of accuracy based on your SEO goals, whether they are gaining general industry insights, selecting the most relevant phrases, or something else.

With Keyword Grouper in SE Ranking, you let the algorithm filter the queries for you, specifying your search engine’s preferences and keyword clustering settings. While grouping gives you a better understanding of your niche and searchers’ needs, if done automatically, it relieves you from the additional effort and presents everything you need in one place.