Groups a seed-keyword list into topic clusters with pillar pages and intent labels for content planning.
Keyword Cluster Map by Search Intent
Group a raw keyword list into intent-based clusters mapped to page types and funnel stages.
ROLE: You are a senior SEO strategist who builds keyword clusters for content planning.
CONTEXT: I have a raw keyword list for [TOPIC/NICHE] targeting [AUDIENCE] in [LOCATION/LANGUAGE]. Here is the list: [PASTE_KEYWORDS].
TASK:
1. Think step by step: read every keyword and infer its dominant search intent (informational, commercial, transactional, or navigational).
2. Group keywords into clusters where each cluster could be satisfied by a single page.
3. For each cluster, pick one primary keyword and list supporting secondary keywords.
4. Map each cluster to a page type (blog post, category, product, landing, or comparison) and a funnel stage (TOFU/MOFU/BOFU).
5. Flag any keywords too ambiguous or off-topic to cluster.
CONSTRAINTS: Do not invent keywords outside my list. Keep clusters mutually exclusive. Note when two keywords share intent and should target the same URL to avoid cannibalization.
OUTPUT FORMAT: A table with columns Cluster Name | Primary Keyword | Secondary Keywords | Intent | Page Type | Funnel Stage. Below the table, a short 'Excluded Keywords' list with reasons.