Free promptKeyword Research
Keyword Intent Clusterer
Clusters a raw keyword list by intent + topic and maps each cluster to one page.
GPT-4o keyword research, clustering, cannibalisation
Use it when: Turning a keyword dump into a page-level content plan without cannibalisation.
Act as an SEO strategist. Cluster this keyword list and turn it into a page plan. KEYWORDS: """ [PASTE one per line] """ 1. Group keywords into TOPIC CLUSTERS (by semantic similarity + shared intent). 2. Label each cluster's dominant intent (informational / commercial / transactional / navigational). 3. Map each cluster to ONE target page (title suggestion) to avoid cannibalisation. 4. Flag any keywords that belong to a different funnel stage and should get their own page. 5. Suggest the internal-link relationships between the resulting pages. Return a clean table: cluster → intent → target page → keywords.
Why This Works
The methodology behind it
Keywords that look similar by volume can have completely different intent, and grouping by literal string similarity instead of intent is one of the most common content-planning mistakes. This prompt clusters by what the searcher actually wants — informational, commercial, or transactional — which is the grouping that should actually decide which page targets which cluster.
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