Keyword Clustering
Group keywords into logical clusters so you know which belong on the same page — and which need their own
What This Prompt Does
Clustering is how you go from a flat keyword list to an actual site map. This prompt groups closely related keywords into named clusters, picks a main keyword per cluster, tags the intent, and tells you explicitly whether each cluster deserves its own page — with a short reason attached.
When to Use It
- •Planning a new content hub or service-area architecture
- •Auditing a site with lots of thin, overlapping pages that cannibalize each other
- •Deciding whether five similar-looking keywords are really one topic or five
- •Building a topic map before writing a pillar page
The Prompt Template
Act as an experienced SEO content strategist. Your goal is to group keywords into clusters so I know which keywords belong on the same page and which need separate pages. Context: - Business type: [BUSINESS TYPE] - Geography: [GEOGRAPHY] - Keyword list: [PASTE KEYWORDS] Task: Group these keywords into logical keyword clusters. For each cluster, identify: 1. the main keyword 2. supporting keywords 3. likely search intent 4. whether the cluster should have its own page Process: 1. Review the full keyword list. 2. Group closely related keywords that would be satisfied by the same page. 3. Separate keywords that need different pages because the intent is different. 4. Name each cluster using the best main keyword. 5. Explain why each cluster should or should not have its own page. Constraints: - Do not force unrelated keywords into one cluster. - Use plain English. - Keep explanations short and practical. - Focus on search intent and topic similarity. Output format: Use numbered clusters with these labels: - Cluster Name - Main Keyword - Supporting Keywords - Search Intent - Own Page: Yes or No - Reason
How the Prompt Is Structured
Clustering Is About Same-Page Satisfaction
The Task phrase "satisfied by the same page" is the critical constraint. Keywords cluster together when one page can reasonably answer all of them — not just when they share a word.
Intent Drives Separation
Two keywords can sound alike but still need separate pages if their intent diverges. "Emergency plumber bozeman" (transactional) and "what to do before a plumber arrives" (informational) should never share a URL.
"Own Page: Yes or No" Forces a Verdict
Making this a binary field prevents wishy-washy output. You leave the prompt with a buildable page-by-page list, not a maybe-soup.
The Reason Field
The "why" column is where the real learning lives. Reading the reasons teaches you how the AI is drawing boundaries, which helps you argue for or against each verdict.
Example Output
Cluster 1: Emergency Plumbing Bozeman
- Main keyword: emergency plumber bozeman
- Supporting keywords: 24 hour plumber bozeman, urgent plumbing repair bozeman, after hours plumber near me
- Intent: transactional
- Own page: Yes
- Reason: All four keywords describe the same urgent service in the same city and can be satisfied by one landing page with a phone number and response time.
Cluster 2: Preparing for a Plumber Visit
- Main keyword: how to prepare for a plumber
- Supporting keywords: shutting off water before plumber, what to tell a plumber on the phone
- Intent: informational
- Own page: Yes
- Reason: Same audience as Cluster 1 but a research question — belongs in a blog or FAQ article that links to the emergency service page.
Tips for Better Results
Classify Intent First
Run the intent classifier prompt first, then paste the labeled list into this one. Clusters form more cleanly when intent is already visible.
Challenge the "No" Clusters
When the AI says a cluster should not get its own page, ask where those keywords should live instead. That follow-up question surfaces merge opportunities.
Keep Clusters Small
A cluster with 30 supporting keywords usually hides multiple pages. If a cluster gets too large, re-run the prompt on just that group.
Map Clusters to Existing URLs
Before creating new pages, check whether an existing page can absorb the cluster. Consolidation beats creation when pages are similar.
Build a Sitemap That Reflects Real Intent
We help you translate keyword clusters into published pages, internal links, and measurable traffic gains.