Turn Keyword Lists into Topic Architecture
Group related queries by semantic fit and search intent so teams know what should be a pillar page, a supporting page or a content refresh.
Cluster map
Pillar
Technical SEO
Inputs for the clustering workflow
- Keyword lists from research, competitor reviews or exports.
- Target market, topic area and existing content map.
- Any priority pages already planned or already published.
What Audilysis reviews
Semantic relationships, search intent overlap, cannibalisation risk and where clusters fit inside a broader site architecture.
What users receive
Cluster groups, pillar-to-support maps, intent labels and a plan for which page should target which topic set.
How results are used
Content strategists turn clusters into roadmaps, SEOs reduce cannibalisation, and internal-link plans inherit a clearer topic hierarchy.
How the workflow works
- 01
Import keyword sets from research and competitive discovery.
- 02
Group queries by topic relationship and intent.
- 03
Separate pillar pages from supporting-page opportunities.
- 04
Flag clusters that overlap with existing URLs.
- 05
Export an architecture map for content planning and linking.
Cluster outputs and planning decisions
Semantic fit
Grouped
Keep related keywords together instead of scattering them across pages.
Intent
Labelled
Separate informational, commercial and navigational opportunities.
Architecture
Planned
Build a cleaner content and internal-link structure from the start.
Plan topics with more structure and less duplication
This static page explains the clustering workflow. Live grouping and exports can be connected later in the platform.