Five concrete examples of the Keyword Grouping Tool in real use. Each one shows the situation, what you put in and what comes out, so you can copy the structure, swap in your details and adapt it this week.
Example 1: Turning a research export into page assignments
The task: Turning a research export into page assignments. You start from a list of keywords - one per line or pasted in bulk.. The tool returns keyword groups with a suggested theme for each., giving you a content plan skeleton where every page owns its own cluster. you can edit rather than a blank page.
Make it yours: add one detail the tool cannot know - a real number, a name, a constraint - then read the result once end to end before you keep it.
Example 2: Preventing keyword cannibalisation before writing
The task: Preventing keyword cannibalisation before writing. You start from a list of keywords - one per line or pasted in bulk.. The tool returns keyword groups with a suggested theme for each., giving you a content plan skeleton where every page owns its own cluster. you can edit rather than a blank page.
Make it yours: add one detail the tool cannot know - a real number, a name, a constraint - then read the result once end to end before you keep it.
Example 3: Building topic cluster maps
The task: Building topic cluster maps. You start from a list of keywords - one per line or pasted in bulk.. The tool returns keyword groups with a suggested theme for each., giving you a content plan skeleton where every page owns its own cluster. you can edit rather than a blank page.
Make it yours: add one detail the tool cannot know - a real number, a name, a constraint - then read the result once end to end before you keep it.
Example 4: Splitting head terms from supporting content
The task: Splitting head terms from supporting content. You start from a list of keywords - one per line or pasted in bulk.. The tool returns keyword groups with a suggested theme for each., giving you a content plan skeleton where every page owns its own cluster. you can edit rather than a blank page.
Make it yours: add one detail the tool cannot know - a real number, a name, a constraint - then read the result once end to end before you keep it.
Example 5: Preparing briefs per group for writers
The task: Preparing briefs per group for writers. You start from a list of keywords - one per line or pasted in bulk.. The tool returns keyword groups with a suggested theme for each., giving you a content plan skeleton where every page owns its own cluster. you can edit rather than a blank page.
Make it yours: add one detail the tool cannot know - a real number, a name, a constraint - then read the result once end to end before you keep it.
A Full Worked Example
Input: 60 mixed keywords from a research export
8 groups - brewing methods, equipment, beans, storage - each labelled with a page theme.
The pattern behind every example above: context and constraints go in, structure comes out, and your edit makes it true.
How to Build Your Own Examples
- Take a task already on your calendar for this week.
- Write the brief in two sentences: the job and the audience.
- Generate, compare against the version you would have written manually.
- Save the prompt alongside the result so the second run takes seconds.
Getting More From Each Example
Most people stop at the first result. Generate a second version with one changed variable - length, tone or angle - and compare. The better version usually appears on the second run, not the first.
Frequently Asked Questions
How does it decide groups?
By phrase similarity and intent signals - terms asking the same question land together.
Can I edit the groups?
Yes - treat the output as a first draft and refine themes for your own plan.
Is there a list size limit?
Practically none for normal research exports; very large lists may take a moment.
Is my list stored?
No - grouping runs entirely in your browser.
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