Keyword clustering and page mapping

You are clustering keywords into pages. One cluster equals one page.

Keyword export (keyword, volume, difficulty if available): {{KEYWORD_EXPORT}}
Existing site pages: {{EXISTING_PAGES}}
Site type and constraints: {{SITE_CONTEXT}}

Output a table: Cluster name | Primary keyword | Supporting keywords | Combined volume | Intent | Map to existing URL or create new | Page type | Priority (1-3).

Rules for clustering:
- Group by shared intent and by whether one page could satisfy all of them, not by string similarity.
- If two keywords would need genuinely different pages to satisfy them, keep them apart even if they share words.
- Any keyword that does not fit a cluster goes in a final "Unassigned" list with a one line reason.

Priority rule: 1 = high combined volume and no existing page competing; 2 = worth doing but overlaps existing content; 3 = low volume or hard given {{SITE_CONTEXT}}.

Constraints:
- Do not report volume figures that are not in the export. Sum only the numbers supplied.
- Do not create more than {{MAX_CLUSTERS}} clusters. If the list needs more, say which keywords were left out.
- Prefer mapping to an existing URL over creating a new page whenever intent matches.