Skip to content

Topical Map

A keyword becomes a map: the pillar, the clusters under it, and an honest answer to the only question that matters - which of them your site already covers.

Solar panels

4 of 8 clusters already have a page

Covered

  • How solar panels work
  • Panel types compared
  • Roof suitability
  • Cost per watt

No page yet

  • Battery storage
  • Feed-in tariffs
  • Cleaning and maintenance
  • Warranty claims
An example, not a real site. Coverage comes from pages the crawler actually read on your own domain, so a cluster counts only when there is a page behind it.

Coverage Is Measured, Not Guessed

Most topical-map tools ask a model whether a site covers a subject. The model has never read the site. Here, coverage is computed against the knowledge graph built from your own crawled pages, so a cluster is marked covered because a page exists - not because a model believed one might.

  • Pillar and clusters from one keyword.
  • Entities and questions per cluster, drawn from the same structure.
  • Coverage per cluster, measured against pages the crawler actually read.
  • Internal link suggestions from the graph, pointing at URLs that exist.
  • Every gap is a candidate title you can hand straight to the Article Writer.

What A Map Contains

The Pillar
The parent subject the keyword belongs to, and the shape of the territory under it.
Clusters
The sub-topics that make up the subject, each with the entities and questions that belong to it.
Coverage And Gaps
Which clusters your site covers, which it does not, and therefore what is worth writing next.

What You Will Not Find On A Map

No search volume, keyword difficulty, CPC, traffic estimate or ranking prediction. None of those are available to the engine, so printing them would mean inventing them - and a map you cannot trust is worse than no map.