# How to Group Keywords: Semantic Keyword Grouping, Step by Step

Keyword grouping means sorting a list of search queries into sets that share a topic and a search intent, so that each set can be tracked and served by one page. Done by hand it is slow. Done by meaning rather than by shared words, it produces groups you can plan content around. This guide walks through the process with an example from a Search Console export.

## What is keyword grouping?

Keyword grouping is the practice of putting related search queries into one set. Each set should answer one question for the searcher, so the whole set can be served by one page. In this guide, keyword grouping and [keyword clustering](/blog/what-is-keyword-clustering/) mean the same thing.

## Why group keywords instead of tracking them one by one?

A single query tells you little. A set of queries on the same topic shows whether you own that topic. In our experience, tracking individual keywords stops being useful somewhere past about 50 of them, because most of the movement is noise and the trend disappears into the list. This threshold is our judgment, not a measured number.

Grouping also shows coverage. A topic with ten queries and one page that ranks for two of them has a clear gap. Tracked one at a time, that gap is easy to miss.

## How do you group keywords?

There are three common methods. They differ in what decides whether two queries belong together.

| Method | How it decides | Good for | Breaks when |
| --- | --- | --- | --- |
| Shared words | Queries that contain the same term | A fast first pass on a large list | Different words mean the same thing, or one word means two things |
| Shared search results | Queries whose top results are the same pages | Checking whether Google treats queries as one topic | Results shift, or a site has few pages that rank |
| Meaning and intent | A reader decides what the searcher wants | Groups you can plan pages around | Two readers disagree, and long lists take time |

Each method has a use. Shared words are quick for a first pass. Shared results check how Google sees two queries. Meaning is the method that gives you groups to plan around, so the rest of this guide uses it.

## How do you group keywords semantically?

Semantic grouping sorts queries by the question the searcher is asking. These are the five steps we use, with an example from our own export.

1. **Export your queries.** Pull the queries report from Google Search Console for at least three months, with impressions, clicks and average position. Three months smooths out one-off spikes.
2. **Read each query as a searcher.** Ask what the person wants: a definition, a method, a tool, a comparison or a fix. Write that intent next to the query.
3. **Put queries that answer the same question together.** Name each group after the question it answers, not after a shared word.
4. **Pull out the outliers.** Brand terms, typos and one-off queries go into a review pile. Do not force them into a group.
5. **Check for mixed intent.** Section 5 below covers this step.

Here are nine queries from our Search Console export for the three months to 30 October 2026, sorted into three groups:

- **Definitions and how-to:** how to group keywords (172 impressions), what is keyword grouping (17), keyword grouping guide (11)
- **Tracking:** keyword groups tracking (158), tracking keyword groups (101), keyword group tracking (20)
- **Tools and automation:** keyword grouping automation (12), keyword grouping API (7), keyword grouping dashboard (2)

Each group has one intent. The first wants an explanation. The second wants a way to follow groups over time. The third asks whether software can do the work. Those are three different pages, which is why the queries are split.

## How do you check that the groups are right?

Two checks catch most mistakes.

The first is intent. Each group should have one search intent. A group that mixes how-to queries with comparison queries needs two pages, not one. Split it.

The second is shared results. This is our method: search each query and note the top-ranking pages. Queries that share a top-ranking page usually belong in the same group. Queries that return different pages usually do not, even when they share words. Google does not publish this as a rule, so treat it as a strong signal and check the results yourself.

## What do you do with the groups?

Map each group to one page. For each group, pick one of three options:

- **Existing page.** A page already ranks for most of the group's queries. Keep it and update it to answer the whole group.
- **Expand a page.** A page covers part of the group. Add the missing questions to it.
- **New page.** No page covers the group. Write one, using the group's main question as the title.

If a group maps to two pages, they are probably competing for the same queries. This is cannibalization. Pick one page and merge or sharpen the other. For the wider planning method, see [keyword clustering for AEO](/blog/keyword-clustering-for-aeo/) and [how to build topical authority](/blog/how-to-build-topical-authority/).

## Spreadsheet or tool?

A spreadsheet is enough when you group a list once and leave it alone. Sort the queries, add an intent column and filter. Google Sheets and Excel both handle this well.

The case for software is repetition. If you regroup every month, work across several sites, or need the groups to feed a dashboard, a spreadsheet becomes the bottleneck. Enterprise teams, agencies, small businesses and anyone who automates reporting tend to reach that point first. API access matters for the same reason: it lets the groups feed other systems without a manual export. The deciding question is how often you regroup, not how long your list is.

## Where TrackClusters fits (and where it doesn't)

TrackClusters connects to Google Search Console through read-only OAuth, groups your real queries into clusters and syncs daily. For each cluster it tracks impressions, clicks and average position over time, and it leaves position 0 out of the averages. You can export to CSV, and it flags cannibalization across clusters.

It does not replace keyword research. It has no search volume data and does not suggest new keywords. It works only with queries your site already ranks for. If you need new topics, find them with a keyword research tool first, then use TrackClusters to see how the queries you already rank for group together.

You can start a 7-day free trial at [trackclusters.com/#pricing](https://trackclusters.com/#pricing).

## Frequently asked questions

### What is keyword grouping?

Keyword grouping sorts search queries into sets that share a topic and an intent, so each set can be tracked and served by one page.

### Is keyword grouping the same as keyword clustering?

In most SEO writing, yes. Both describe putting related queries together. This guide uses the two terms interchangeably.

### How many keywords should go in one group?

There is no fixed number. A group should be as large as one intent and one page can serve. Three queries with one intent are better than thirty that mix two.

### How do you group keywords in Excel or Google Sheets?

Export the queries to a sheet and add an intent column. Read each query and fill in the intent, then sort by it. Filter for rows that do not fit their block, and re-check the groups when you add a new batch of queries.

### Can AI group keywords for me?

For a small list, yes, but check the output. Look for groups that mix intents before you use them, the same as with a manual grouping.

### How often should you regroup keywords?

Regroup when your queries change in a way that matters, such as after a content push, a site change or a new product area. Otherwise a quarterly review is a sensible default. That is our suggestion, not a rule.

### Does grouping keywords improve rankings?

Not on its own. Grouping helps you plan coverage: which topics need a page, which pages compete, and which groups are losing ground. Rankings depend on the content and the rest of the site, so treat grouping as a planning step, not a guarantee.