Topical Map Example: From Raw Topic List to Processed Site Structure

A topical map example is useful because most explanations stop too early. They define the idea, maybe list a few related topics, then leave out the part that counts: how those topics turn into a site structure you can publish from.

That is the gap this page is meant to close.

Instead of talking about topical maps in the abstract, this page shows what one looks like when you move from rough topic discovery into a processed map with page boundaries, cluster roles, internal link planning, and overlap control. That is the framing MIRENA keeps pushing across: structure first, then brief, then draft. If you want the broader context first, start with the Topical Mapping hub.

Why use an example at all

Definitions are helpful, but examples make the planning model easier to see.

A real topical map is not just a list of topics. It is a set of decisions. It decides what belongs, what gets blocked, what deserves a page, what should stay as a section, how pages relate, and what gets published first. That is why the processed map outputs in the MIRENA files include page inventory, cluster roles, cannibalization decisions, and an internal link blueprint. If you need the baseline definition first, read What Is a Topical Map?.

The sample niche: window replacement

For this example, use a window replacement company.

That is a clean way to show how a map stays focused instead of drifting sideways.

So the goal is not to build the biggest possible home improvement site. The goal is to build a tight site around window replacement and the topics that genuinely support it.

Step 1: the raw topical map

A raw map is the discovery layer. It helps you see the topic space before you start making structural decisions.

For a window replacement site, a raw topical map might look like this:

• window replacement
• window replacement cost
• window replacement cost in Dublin
• double glazing vs triple glazing
• uPVC vs aluminium windows
• sash window replacement
• casement window replacement
• window frame materials
• signs you need new windows
• how long window replacement takes
• replacement windows for period homes
• energy efficient windows
• window replacement grants
• window installers near me
• window warranty questions

This is useful, but it is still only a rough map. It shows the topic space, not the final architecture. That is the difference between discovery and structure, which is the whole point behind Raw vs Processed Topical Map.

Step 2: the processed version

Now the map gets stricter.

Instead of asking what could be covered, you ask what should exist as part of the site.

A processed version of the same niche might look like this:

Core hub

• Window Replacement

Core spokes

• Window Replacement Cost
• Double Glazing vs Triple Glazing
• Window Frame Materials
• Signs You Need New Windows
• Replacement Windows for Period Homes

Supporting spokes

• uPVC vs Aluminium Windows
• Sash Window Replacement
• Casement Window Replacement
• How Long Window Replacement Takes
• Window Warranty Questions

Commercial or local pages

• Window Replacement Cost in Dublin
• Window Installers Near Me

Topics that may stay as sections, FAQs, or be blocked

• Window replacement grants
• Best boiler brands
• Roof insulation grants

That is already a better map because it is assigning weight and placement. Some topics become pages. Some become support sections. Some get blocked because they pull the site away from its real subject. That is exactly the kind of filtering the Source Context Guard is meant to enforce. If you want the method behind the transformation, see Topical Map Process.

What changed between raw and processed

The processed map adds decisions.

The raw version was a topic universe. The processed version becomes a build plan.

Here is what changed:

• topics were grouped by purpose, not just similarity
• some ideas were promoted into standalone pages
• some stayed as sections or FAQs
• off context ideas were removed
• commercial and informational intents were separated
• page importance became clearer
• internal link paths became easier to plan

That is why the processed version is the real asset. It gives the site shape. For the routing rule behind page-versus-section decisions, see Query Deserves Granularity.

A simple page role model for this example

Once the topics are cleaner, each page needs a job.

For the same window replacement example, the roles might look like this:

• Hub: Window Replacement
• Definition/support pages: Signs You Need New Windows, Window Frame Materials
• Comparison pages: Double Glazing vs Triple Glazing, uPVC vs Aluminium Windows
• Attribute or edge case pages: Replacement Windows for Period Homes, Sash Window Replacement
• Commercial pages: Window Replacement Cost, Window Replacement Cost in Dublin
• Local or conversion pages: Window Installers Near Me

That role layer is what makes the structure usable. A site gets easier to scale when every page has a reason to exist. That is also why role assignment is treated as a core processed map output in the MIRENA files, and why this page should naturally bridge to Cluster Roles.

How this example prevents cannibalization

Without a processed map, a team could easily create too many pages around the same intent.

For example, a site might publish:

• window replacement cost
• new windows cost
• how much does window replacement cost
• replacement window prices

Those do not automatically deserve four separate URLs. In many cases, they are stronger as one canonical page with the right subheadings, examples, and supporting language. The processed map forces that call before the drafts are written, which is one of the main reasons it reduces duplication. For the overlap layer on its own, see Cannibalization Prevention.

How this example shapes internal links

The map also makes internal linking easier because relationships are already defined.

In this sample niche, the hub page should link to the major spokes. The spoke pages should link back to the hub, connect to relevant sibling pages, and guide readers toward the next useful step. A comparison page might link to a cost page. A cost page might link to a local conversion page. A materials page might link to a comparison page.

That is how a topical map becomes a navigable system instead of a disconnected list of posts. MIRENA processed maps should produce a cluster level linking blueprint, which is why this page should also connect to Semantic Internal Linking.

A simple publish order for this example

A map should also help you decide what gets published first.

For this sample niche, a sensible order would be:

1. Window Replacement hub
2. Window Replacement Cost
3. Double Glazing vs Triple Glazing
4. Window Frame Materials
5. Signs You Need New Windows
6. Replacement Windows for Period Homes
7. supporting comparison and style pages
8. local conversion pages

That order works because the foundation pages exist before the narrower pages start leaning on them. It also keeps the cluster cleaner as it grows. If you want the site design layer that sits above that, the next related page is Content Architecture Blueprints.

What this example is really showing

This example is not about window replacement.

It is about the difference between having topics and having structure.

A raw map gives you ideas. A processed map gives you decisions. It tells you what belongs, what gets merged, what gets blocked, what supports the hub, and what should exist to move the site forward without drifting off context.

That is why examples like this matter. They make the method visible. And once the map is processed, the next step is usually to turn one page inside that structure into a production ready brief. That is where Intent Led Brief comes in.

Use this as a model, not a fixed recipe

The exact page list will change by niche.

But the logic should stay the same:

• define the real topic
• expand the topic space
• remove sideways expansions
• decide page vs section
• assign roles
• plan links
• set publishing order

That is the repeatable part. It works whether the niche is window replacement, SaaS onboarding software, or a semantic SEO site. If you want the reusable framework behind it, use the Topical Map Template.

Build a processed topical map with MIRENA

A topical map example is helpful because it shows what the output should feel like: tighter, cleaner, and more deliberate than a giant keyword list.

That is the point of MIRENA’s planning layer. It turns a seed topic into a processed map with page roles, overlap control, internal link logic, and a structure that can feed briefing and drafting without the usual randomness.

Want a processed topical map in minutes? Explore the Topical Mapping use case.