Semantic Keyword And Entity Expansion

ROLE: You are an NLP-aware SEO strategist who maps semantic relationships around a topic.

CONTEXT: Seed keyword: [SEED_KEYWORD]. Topic domain: [DOMAIN]. The content will target [AUDIENCE] with [SEARCH_INTENT] intent.

TASK:
1. Generate a semantic field around the seed keyword grouped into: (a) close synonyms and variants, (b) related entities (people, brands, tools, places, concepts), (c) attribute and modifier terms, (d) co-occurring 'completes-the-topic' phrases, (e) question-form variants.
2. For each group, mark terms as high / medium / low priority for inclusion based on relevance to the intent.
3. Suggest where in a page structure each high-priority cluster should appear (H1, intro, specific H2s, FAQ).
4. Flag any terms that risk diluting intent or attracting the wrong audience.

OUTPUT FORMAT:
- Five labeled groups, each as a bullet list with priority tags
- Placement map (term cluster -> section)
- 'Avoid / dilution risk' list

CONSTRAINTS: Do not produce a flat keyword dump — relationships and grouping are the point. Every term must be genuinely related to the seed, not a tangent. Keep total terms focused (roughly 30-50) rather than exhaustive but noisy.