Keyword clustering by Labrika

Map your keywords to landing pages and see what to optimize. Labrika’s keyword clustering helps SEO specialists quickly decide which queries to target on the same URL, which to separate, when an existing landing page fits, and when to create a new one.

Your keyword list becomes a page-by-page SEO plan. Optimize an existing page, move some keywords, separate different search intents, create a landing page, or prepare a brief for your copywriter and developer.

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Without a page map, keywords become hard to manage

Collecting keywords is only the first step. You need to map them to the right pages on your site. Otherwise, several URLs end up targeting the same queries, a single article mixes different search intents, the copywriter gets a vague brief, and the SEO specialist spends time sorting keywords by hand instead of optimizing pages.

Labrika groups related queries and maps them to landing pages. See where a page already fits a cluster, where it needs work, and where queries belong on separate pages. This is especially important for online stores, service sites, directories, blogs, and agency projects with large numbers of pages and keywords.

What you get from keyword clustering

  • Keyword groups for real landing pages

    Labrika organizes keywords into clusters you can use to plan category pages, service pages, articles, commercial landing pages, and entire sections of your site.

  • A clear view of which queries to target together

    Each cluster shows which search terms belong on the same page. This helps you separate product searches, service queries, informational searches, and location-specific queries so each URL serves a clear intent.

  • Relevant URLs for each keyword group

    Clustering helps you map a group of queries to a landing page. If another page is a better match for a query, you can take that into account as you refine your site structure.

  • Warnings about incompatible keywords

    Labrika flags queries in a group that should target different pages. You can move those keywords to another cluster or use them as the starting point for a separate page.

  • A page-by-page SEO action plan

    Once your keywords are grouped, you can see where to improve an existing page, separate search intents, create a landing page, rework the copy, update meta tags, or assign a task to your team.

  • Manual control over the results

    Fine-tune the automatic groups by moving keywords, changing a landing page URL, renaming groups, adding notes, assigning colors, locking important clusters, and organizing them into folders.

When keyword clustering is especially useful

  • You need to map keywords to landing pages

    After keyword research, work out which queries belong on existing pages, which to move, and which need new URLs. Clustering helps you turn a keyword list into a site structure quickly.

  • Similar pages are at risk of keyword cannibalization

    When several URLs target closely related queries, they can compete with each other. Clusters help you assign the main keyword group to the right page and avoid spreading those terms across duplicate pages.

  • You need an SEO brief for new content or revisions

    A cluster gives you the essentials for a brief: the page topic, target keywords, landing page URL, phrases to keep together, and queries to cover separately.

  • You need to find gaps in your site structure

    A keyword group with no suitable landing page can point to a missing category page, service page, article, or commercial landing page.

  • Your agency needs to explain the work to a client

    Clients can follow a page map more easily than a list of keywords. It shows which pages already exist, which need work, where search intents overlap, which pages to create, and how each fits into the SEO plan.

How Labrika helps you work with keyword clusters

  • Group keywords by search engine and region

    Search intent can vary by search engine and region. Labrika uses your project settings to build clusters that reflect the actual search results, going beyond similarities in wording.

  • Adjust the clustering algorithm

    Choose the algorithm, set how many URLs must overlap in the search results, and specify the cluster size. Some topics call for broad groups, while others benefit from more precise distinctions.

  • Map clusters to pages on your site

    Assign a landing page URL to each cluster to see at a glance which page targets each keyword group. This gives your keyword list a practical place in your site structure.

  • Check whether queries belong together

    Similar wording can hide different search intents. Labrika helps you spot those cases so you can give each intent its own page.

  • Edit and lock keyword groups

    Refine the results by moving keywords, creating a group, changing a URL, adding a note, or assigning a color. Lock important clusters to preserve them the next time you regroup your keywords.

What to do after keyword clustering

  • Optimize existing pages

    Check how well each landing page matches its keyword group. Review the title tag, meta description, H1, body copy, content sections, commercial elements, and page structure.

  • Separate different search intents

    Move mismatched queries to another cluster or create a separate URL for them so each page addresses a distinct user need.

  • Create missing landing pages

    A cluster without a suitable URL shows you what to add: a category, subcategory, service page, article, comparison page, or commercial landing page.

  • Assign work to your team

    Turn clusters into tasks. Give the copywriter a content brief, ask the SEO specialist to review on-page optimization, and assign page or site structure changes to the developer.

  • Track results with related tools

    Use the SEO audit, recommendations, AI Writer, project management tools, and rank tracking to see what happens after you implement the changes.

Keyword clustering is part of your Labrika project

Labrika runs clustering automatically as part of a full site analysis. You can work with clusters directly in your project without having to manage a separate service. Your keywords, landing pages, and follow-up SEO tasks are connected from the start.

You can also run clustering manually. Use it to check how keywords are grouped, review important sections of your site, and see how Labrika maps queries to pages.

Up to 2 free runs per day
One site, one search engine
Manually or during a full site analysis

Why clustering is faster than grouping keywords by hand

When sorting manually, SEO specialists often group queries by shared words such as “buy,” “price,” “reviews,” or the name of a product or service. Similar wording can hide different search intents. A single group can end up mixing queries for a category page, a service page, an article, a comparison, or a dedicated commercial landing page.

Labrika cuts down on this work by automatically clustering related queries, mapping them to landing pages, and showing which groups need review. This is especially useful when your keyword list changes. Run clustering again, preserve your important groups, and keep working with the updated keywords.

Manual grouping

Queries are sorted by shared words such as “buy,” “price,” and “reviews.” Similar words can signal different intents, leaving searches for categories, services, articles, and commercial landing pages in the same group.

Labrika

Labrika automatically groups related queries by intent, maps them to landing pages, and flags groups to refine. The SEO specialist stays in control of editing and strategy.

Who is keyword clustering for?

SEO specialists

Quickly map keywords to pages, spot mixed search intents, and build a clear optimization plan.

Agencies

Show clients how their keyword list translates into work: which pages you’re optimizing, what needs to be created, and where keyword cannibalization is a risk.

Online stores

Group queries by category, subcategory, product, filter, article, and commercial page so searches with different intents lead to the right URLs.

Service businesses

Separate core services, pricing, locations, customer questions, and informational queries so each page serves a specific purpose.

Content teams

Use clusters to structure articles and commercial pages, write content briefs, and guide subsequent content optimization.

Frequently asked questions

What is keyword clustering?

Keyword clustering groups search terms by topic, usually with one landing page per group. A cluster helps you decide which queries to target together and which to separate.

Does clustering run separately or as part of a site analysis?

Labrika runs clustering automatically during a full site analysis. You can also run it manually for the site and search engine you choose.

Can I run keyword clustering for free?

Yes. You can run clustering up to twice a day for free for one site and a specific search engine.

Will Labrika create the pages for me?

No. Labrika helps you identify which pages to create, which existing URLs to optimize, and which queries to separate. Your team creates and updates the pages, using the clusters as the basis for a clear brief.

Can I edit the results manually?

Yes. You can move keywords, create groups, change URLs, rename clusters, add notes, assign colors, and lock important groups.

What if my keyword list changes?

You can run clustering again. Locked groups retain their keywords, colors, notes, and associated landing pages.

Can I use it for an agency project?

Yes. You can use clusters to develop a strategy, report to clients, and assign work to your team.

Do I need technical knowledge?

No. You can understand the initial results as soon as you run a site analysis. SEO specialists can also adjust the algorithm, the required number of overlapping URLs, and the cluster size, then refine the groups manually.

Map keywords to pages and start optimizing

Run keyword clustering in Labrika to build your SEO action plan. See which queries to target together, which pages to improve, which search intents to separate, and which new landing pages to prepare.

Start clustering