Topical Map Creator (SEO)

Free tool to instantly create visually attractive Topical Maps

Topical Map Creator (SEO) is an online free tool designed to help you explore and understand complex topical maps. With this tool, you can effortlessly transform your data into visually stunning and informative representations, allowing you to uncover hidden patterns, relationships, and insights.

Whether you’re an agency or freelancer seeking to impress clients with captivating visual storytelling or a marketer aiming to build thoughtful, data-driven narratives, our Topical Map Creator empowers you to unlock the full potential of your data through intuitive and powerful visualizations, ensuring your message resonates with clarity and impact.

How it works

Step 1: Provide your topic list

Upload the list of topics and their sub-topics in csv format

Step 2: Select visualization type

Select among 2 available visualizations – Force Directed and Radial Dendrogram and hit on generate

Step 3: Optimize your content

Use the topical map to optimize your content creation by finding out content gap and their connectivity

Types of visualization

Force Directed

Force-directed graphs employ simulated forces of attraction and repulsion to position nodes (representing topics) based on their connections. This approach naturally highlights clusters and relationships within your data, enabling you to quickly identify central themes and their interconnections.

Radial Dendrogram

Radial dendrograms offer a circular representation of hierarchical tree structures, with the root topic positioned at the center and child topics radiating outwards in concentric rings. This layout provides a compact and space-efficient way to display complex topical maps.

Benefits

Visual sitemaps for easy info architecture analysis

Automatic topical hierarchy generation from URLs

Identify & fix orphan pages and nested subtopics

Interactive UI to edit and reorganize your sitemap

Topical Map Creator

Label Settings

Font Size 8 Toggle Labels

center Shifts the view, so the graph is centered at this location.

x .45 y .5

charge Attracts (+) or repels (-) nodes to/from each other.

strength -150 distanceMin 1 distanceMax 2000

collide Prevents nodes from overlapping

strength .7 radius 5 iterations 1

forceX Acts like gravity. Pulls all points towards an X location.

strength .1 x .5

forceY Acts like gravity. Pulls all points towards a Y location.

strength .1 y .5

link Sets link length

distance 50 iterations 1

Node Radius:
Graph Radius:
Font Size:

Generate

Download as SVG

Click here for Sample

FAQs

What Are SEO Topical Maps?

SEO topical maps is a visual representation that organizes website content around broad topics or themes. It involves creating a central “pillar page” that provides an overview of the main topic, surrounded by related “cluster content” pieces that explore subtopics in more depth.

How Do Topical Maps Help SEO?

SEO topical maps improve search engine optimization by establishing topical authority through comprehensive coverage of a main topic and related subtopics. They leverage strategic internal linking to reinforce content relationships and hierarchy, and target specific keywords and search queries within the overall topic cluster. Additionally, topical maps enhance the user experience with an organized and contextual content structure, while providing a scalable framework for continuously building topical relevance through new content integration.

Is the SEO Topical Map Generator free to use?

Yes, this tool is completely free to use.

Can the user export the visualizations as images or other file formats for inclusion in reports or presentations?

Right now only export format available is svg. If you want jpg, png or any other format then you can use some other online tools for same.

What is the difference between Force directed and Radial Dendrogram graphs ?

Force-directed graphs are a type of network visualization technique where nodes (representing entities or objects) are positioned based on simulated forces of attraction and repulsion. Nodes that are connected by edges (representing relationships or links) are drawn closer together, while unconnected nodes are pushed apart, resulting in a layout that highlights the underlying structure and clusters within the data. This approach is particularly useful for representing complex relational data, such as social networks, biological networks, or hierarchical data structures.
On the other hand, a radial dendrogram, also known as a circular dendrogram or sunburst diagram, is a circular representation of a hierarchical tree structure. In this visualization, the root node is positioned at the center, and child nodes are arranged in concentric rings radiating outwards, with the hierarchical relationships represented by the nested rings. This layout is particularly effective for visualizing taxonomies, file systems, or any data with a hierarchical structure, as it provides a compact and space-efficient way to display complex hierarchies while preserving the overall structure and relationships between nodes.
Both force-directed graphs and radial dendrograms are powerful tools for exploring and understanding complex data with interconnected components, but they approach the visualization problem from different perspectives and are suited for different types of data structures and analytical tasks.

Are there any plans to integrate additional graph visualization techniques or layouts in future updates?

Yes 2 additional graph visulizations are already in pipeline. You can expect them soon.

Can the user manually adjust the layout or positioning of nodes, or does the tool automatically handle the layout based on the data?

There are some settings provided for the users to adjust forces and overall layout of the graph but right now tool will automatically handle the layout. There is no manual option available to drag the position of the nodes.

Can the user customize the appearance of the visualization, such as node size, labels, or layout settings?

Some settings are available to change the appearance.

How does the tool handle large datasets? Are there any limitations or performance issues when visualizing extremely complex or dense topical maps?

Right now we have restricted to 150 rows only. Will try to increase this limit in future.

What kind of data is best suited for visualization using this tool? Can you provide some examples of datasets that would work well with it?

You can check this sample for reference