Graph-Based Clustering

Keyword Structure Builder

Turn keyword lists into landing-page groups, category paths, site structure, URLs and volume-based priorities using semantic distance.

CSV columns: keyword, volume. Header is allowed.
Balanced: strict mapping via IDF graph density.
Preparing…
Keywords
Landing Pages
High Priority
Total Volume
IDCategory PathLanding PagePrimary KeywordMapped KeywordsCountVolumeSharePage TypePriorityURL
Landing IDKeywordVolumeCategory PathLanding PagePrimary KeywordPage TypePriorityURL
Why I built this

Keyword lists are useless until they become a site structure.

A large keyword list can look impressive, but it does not tell you what pages to create, which queries belong together, how categories should be organized, or which landing pages should be built first. Without structure, keyword research quickly turns into a spreadsheet full of disconnected terms.

The problem
Needs grouping

Bad keyword structures usually fail at the page-mapping stage.

  • × Every keyword is treated like a separate page, even when several terms clearly belong to the same landing page.
  • × Clusters are made manually and inconsistently, which creates duplicated pages, weak categories, and unclear URL logic.
  • × Search volume is reviewed too late, so low-value pages can be planned before stronger commercial or structural opportunities.
  • × The final structure is hard to explain, because keywords, categories, landing pages, priorities, and URLs are not connected clearly.
01

Keyword grouping

The tool groups related keywords into landing-page opportunities instead of forcing a new page for every query.

02

Category paths

It helps turn clusters into a clearer structure with category paths, page types, and cleaner site architecture logic.

03

Volume-based priorities

Keyword volume is used to support prioritization, so stronger page opportunities can be separated from secondary ones.

04

Build-ready output

The result includes landing IDs, keywords, volume, category paths, landing pages, primary keywords, priorities, and URL suggestions.

I built this to move keyword research closer to real site architecture. The tool does not replace SEO judgment, but it helps turn raw keyword lists into grouped landing-page ideas, cleaner category logic, and a structure that is easier to review before building pages.
How to use it

How to turn keywords into a usable site structure.

Start with a clean keyword list, add volume when available, choose the website type, and review the generated landing-page groups before turning them into real pages.

1

Add keywords

Paste keywords one per line. Add volume after a comma when you have it, for example: keyword, 1200.

2

Choose website type

Select the closest project type so the tool can shape clusters around the right page and structure logic.

3

Build structure

Generate landing-page groups, category paths, primary keywords, page types, priorities, and URL suggestions.

4

Review clusters

Check whether grouped keywords really belong to the same landing page before using the output as final structure.

5

Export the plan

Copy TSV or export CSV when the structure is ready for review, planning, or implementation.

What The Tool Gives You
Keyword groups Landing-page ideas Category paths Primary keywords Page priorities URL suggestions
Vladimir Adiyan
Built by Vladimir Adiyan
SEO Consultant & SEO Systems Builder
Next Step

Need help turning this into an SEO strategy?

These tools help generate structures, clusters, semantics and planning data. If you need implementation, strategy or technical guidance, I can help turn the output into a real SEO workflow.

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