# Topical Map Generator

> Turns a single seed topic into a complete pillar-cluster topical map — the architecture of authority.

**Category:** Content & Topical · **Model:** GPT-4o / Claude 3.5 Sonnet · **Tier:** Free

**Use it when:** Planning content strategy for a new niche or restructuring a site that publishes without topical focus.

## Prompt
```
Act as a semantic SEO strategist specialising in topical authority.

Build a complete topical map for the seed topic: "[TOPIC]" targeting the audience "[AUDIENCE]".

Return a structured map with:
1. CORE SECTION — the central entity/topic and its must-cover subtopics (the pillar).
2. OUTER SECTION — adjacent subtopics that build breadth and context.
3. For EACH node: the primary search intent (informational / commercial / transactional), the key named entities to cover, and 2–3 supporting questions (PAA-style).
4. INTERNAL-LINK LOGIC — how authority should flow from clusters to the money page "[MONEY_PAGE]".
5. PUBLISHING SEQUENCE — order the nodes so early, winnable pieces come first.

Rules: prioritise entity and intent completeness over keyword volume. No fluff. Output as a clean, hierarchical list I can hand to writers.
```

## Why this works
Topical maps work because search engines and AI answer engines now evaluate sites by topical completeness, not isolated pages — a pillar-cluster structure signals genuine subject-matter coverage rather than a handful of disconnected posts targeting individual keywords. This prompt forces the model to separate core vs. adjacent topics and attach real search intent to each node, which is the actual architecture decision most generic AI content briefs skip.

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