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Keyword Grouper

Cluster a keyword list into groups by the words they share.

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Quick Tool Overview

The Keyword Grouper clusters a flat keyword list by the words the phrases share, producing labelled groups ready to become ad groups or content topics. It is lexical rather than semantic clustering and says so — but it does the mechanical 80%, turning two thousand ungrouped rows into forty piles your judgement can then work on.

What it does
Clusters keywords into labelled groups by shared words
You give it
A flat keyword list, one per line
You get back
Labelled, sized groups plus the ungrouped remainder
Best for
Building ad groups and planning content topics
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About the Keyword Grouper

Paste a flat keyword list and the grouper clusters it by the words the phrases share, producing labelled groups you can turn into ad groups or content topics. You control how many shared words are needed and how big a group has to be to count.

This is lexical clustering, not semantic clustering, and the distinction is worth being honest about. It groups by the words in the phrases, so "cheap merino socks" and "affordable merino socks" land together on "merino socks" but not on the idea of cheapness. Proper semantic clustering compares the search results for each keyword and needs an index of them. What this does is the mechanical 80% — the pass that turns two thousand ungrouped rows into forty labelled piles you can then judge, which is a far better use of your judgement than sorting.

Key features of the Keyword Grouper

Adjustable tightness

Require one shared word for broad groups or two for tight ones, which is usually the right setting.

Stop words handled

Common words are excluded from grouping so they cannot become the label everything clusters on.

Groups are labelled

Each cluster is named by its shared words, so it is usable as an ad group name straight away.

Ungrouped kept separate

Keywords that fit nowhere are listed rather than forced, and that list is where the odd intents hide.

Clear about its limits

It states plainly that semantic clustering needs a search index this cannot have.

How to use the Keyword Grouper

  1. 1

    Paste the keyword list

    One per line, straight from an export.

  2. 2

    Set the shared-word count

    Two shared words makes tight groups; one makes broad ones. Two is usually right.

  3. 3

    Add stop words if needed

    Common words are ignored by default so they do not become group labels.

  4. 4

    Read the groups

    Each is labelled with its shared words and sized, with the ungrouped remainder listed last.

Frequently asked questions

No. Semantic clustering compares the actual search results for each keyword and groups the ones Google answers the same way, which requires an index. This groups by shared words, which is faster, works offline, and gets most of the way there for most lists.

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