🔍 Initial Research on Topic Relationships

Initial research on the relationships between concepts is crucial when it comes to building a semantic topical map.

⚠️ But here's the challenge:

The topics you finalize during your initial research might not have enough search demand.

☕ Example:

Let’s say your website is in the "coffee" niche, with a source context of "selling coffee machines".

You might come up with a topic like:
➡️ “How to make cappuccino with Nespresso Citiz”

🧠 While this topic might make sense from a semantic perspective, it may not show enough search volume in third-party SEO tools.

💡 Real-World Connections vs. Search Volume

Although in semantic SEO, we often take keyword volume from these tools with a grain of salt, and prioritize real-world connections between topics and entities, there’s still a reality to consider...

📈 Search Demand Matters!

There is a correlation — ranking for higher volume keywords often results in more traffic. So, if a topic has very low demand, creating a dedicated page for it won’t drive much traffic.

✅ The Solution:

You need to connect query semantics with your initial topical research.

🔗 That connection helps in augmenting your initial topical map.
So instead of targeting a low-demand query like:
➡️ “How to make cappuccino with Nespresso Citiz”
You can create a broader, high-demand page such as:
➡️ “Cappuccino Recipe”

🧩 From there, you can bend the meaning of the broader query and naturally incorporate your specific context (like using a Nespresso Citiz).

🧠 Why does this work?

Google matches document vocabulary with query vocabulary, so your optimized query page has a much better chance of ranking.

🚀 Conversion Strategy:

From this well-ranked page, you can guide visitors and connect the content back to your source context, ultimately promoting your coffee machines.

⛳️ Bottom Line:

That’s how you bridge your philosophical topical research with query semantics — to attract maximum relevant visitors and convert them into loyal customers. 💼💰