---
name: seo-keyword-cluster-map
description: Organizes a keyword set into intent-led topic clusters, canonical targets, supporting questions, and content actions using supplied audience and site context. Use for keyword clustering, SEO architecture, editorial roadmaps, topic mapping, or search-content planning.
license: Apache-2.0
metadata:
  adlass.categories: "marketing-content/seo-web, marketing-content/content-production"
  adlass.industries: ""
  adlass.tags: "keyword-clustering, topic-map, seo, search-intent, content-roadmap, taxonomy"
  adlass.adaptation: "mapping"
  adlass.source: "original"
  adlass.version: "1"
---

# SEO keyword cluster map

## Purpose

Turn raw keyword data into a practical topic architecture that assigns intent, primary targets, supporting questions, existing coverage, and content gaps.

## Scope

The skill covers normalization, intent, similarity, clustering, canonical target selection, page mapping, and roadmap priorities.

**Excluded:** keyword purchasing, ranking guarantees, automated page creation, and unsupported search-volume forecasts.

## Data basis

- Keyword table supplied as an input.
- Audience, site inventory, product and editorial context in scope.

## Result

A cluster sheet and a short content roadmap.

## Quality criteria

- Every keyword appears once or has a documented merge decision.
- Clusters reflect intent and audience need, not only word overlap.
- Each primary target has a page action and evidence basis.
- Unknown metrics remain unknown.

## Instructions

Normalize spelling and modifiers without losing meaningful distinctions. Separate informational, navigational, commercial and transactional intent. Use existing pages as evidence for consolidation, not as proof that a topic is complete. Mark uncertain clusters for editorial review.

## Adapt before use

- Map keyword columns and metric definitions.
- Add audience segments, site inventory and product taxonomy.
- Define canonical-page and similarity rules.
- Define roadmap priority criteria.
- Keep source facts, analysis, recommendations, and unresolved questions visibly separate.
- Preserve stable document, section, page, sentence, URL, or row identifiers in every finding.
- Record assumptions about audience, channel, period, approval status, and data coverage.
- Treat missing guidance as an adaptation gap rather than inventing a company rule.
- Prefer a precise, bounded recommendation over a broad generic rewrite.
- Use supplied terminology consistently across the document, sheet, and any derivative copy.
- Do not infer performance, customer behavior, product capability, or market response from wording alone.
- Make every unresolved issue actionable by naming the missing decision, evidence, owner, or source.
- Keep factual claims traceable even when the final copy is concise.
- Recheck that counts, names, dates, and identifiers match across all outputs.
- Mark hypotheses as hypotheses and preserve competing explanations when evidence is mixed.
- Use the stated acceptance criteria as the final completeness check.