Topical map

It is the planning document behind a content silo or a pillar page and its cluster pages.

Build the map from buyer questions, not search volume. Volume-first maps drop the narrow searches that convert best, such as use-case and pricing searches with a few dozen searches a month. Start with what buyers ask on sales calls and in demos, check each question in your keyword research tool, then decide which ones get their own page.

What a topical map contains

A spreadsheet is enough. A section of a map for a managed detection and response service:

Search	Intent	Page	Links to
“managed detection and response”	Commercial	MDR service page (pillar)	All cluster pages
“MDR pricing”	Commercial, budget	Pricing explainer	Service page
“MDR vs EDR”	Commercial, comparison	Comparison page	Service page, glossary
“MDR for healthcare”	Commercial, use case	Use-case page	Service page
“what is XDR”	Informational	Glossary entry	Comparison page

Add columns for status and publish date once the map becomes a working plan.

How I build topical maps

For an AI-native managed security provider, I ran keyword research in Ahrefs and used ChatGPT and Claude to group the results into topic clusters. Every cluster was checked by hand against the live search results before it became a page. A scheduled internal linking calendar then made sure each new page was linked into its cluster on the day it went live. A cybersecurity glossary sat underneath as the definitions layer. AI tools speed up the grouping. They don’t know which questions your buyers ask, so the map still starts with the sales team.

Common mistakes

• Mapping only the searches with high volume.

• Two pages targeting the same search and competing with each other.

• Leaving internal links out of the plan.

• Treating the map as finished once the first batch of pages is published.

• Accepting AI-generated clusters without checking the live results.

See how this applies to security providers in cybersecurity SEO consulting.