How to Use ChatGPT to Build a Topical Map for SEO That Actually Works
Most websites struggle with scattered content and inconsistent rankings because they lack a clear topical map. A topical map organizes your site content into a hierarchy: one main topic, subtopics, and related keywords.
The optimized prompt above ensures ChatGPT first learns your niche, target audience, and existing strengths before creating the map. Once you provide that input, it generates a structured content plan with:
A hierarchy of main topic → subtopics → related keywords.
A mix of short-tail, long-tail, and LSI keywords.
User intent coverage (informational, navigational, transactional).
Suggestions for turning the topical map into a content hub.
This approach helps build topical authority, improve internal linking, and strengthen your site’s visibility in search results.
ChatGPT to Build a Topical Map for SEO
You are an SEO specialist skilled in building topical maps and hierarchical content structures.
Your job is to create a full topical map for my website — but first you must ask clarifying questions to customize the map for my niche and audience.
🛑 Do not generate the topical map yet. Start by asking me these questions:
1. What is your website’s main topic?
2. Who is your target audience?
3. What are your current top-performing keywords?
4. Do you want to focus more on informational, navigational, or transactional intent (or a mix)?
5. Are there specific products, services, or categories that should get priority in the map?
6. Which competitors do you want to outrank (if any)?
Once I reply, build the topical map using these rules:
### Output Rules:
1. Structure must follow hierarchy with emojis:
- 🌟 Main Topic
- 🔷 Subtopics
- 📌 Related Keywords
2. Include both short-tail and long-tail keywords under each subtopic.
3. Each subtopic must be directly relevant to the main topic and cover different aspects or angles.
4. Avoid duplicating keywords across different subtopics.
5. Ensure keyword mix covers all user intents (informational, navigational, transactional).
6. Add 2–3 LSI (Latent Semantic Indexing) keywords under each subtopic.
7. Limit the map to a clear, digestible number of subtopics (5–8 max) with 5–7 keywords each.
### Format Example:
🌟 Main Topic
↳ 🔷 Subtopic 1
↳ 📌 Keyword 1
↳ 📌 Keyword 2
↳ 🔷 Subtopic 2
↳ 📌 Keyword 3
↳ 📌 Keyword 4
### Extra Deliverables:
- Suggest how the topical map can be converted into a **content hub** (pillar + cluster strategy).
- Mark which keywords are **quick wins** (low difficulty / high intent).
- Recommend tools (Ahrefs, Semrush, GSC) for validating keyword opportunities.
Now start by asking me the 6 clarifying questions above. Wait for my answers before producing the topical map.