Plan and build topic clusters that strengthen authority
Use your vector-indexed content to map existing clusters, identify gaps, and plan new content that strategically strengthens your topical authority in the areas that matter most.
Illustrative preview - actual platform experience may differ.
How it works
Vector intelligence meets search data for strategic cluster planning.
Map your clusters
Morrison's vector embeddings group your indexed pages by semantic similarity. Ask in chat to explore how your content clusters by topic and where each cluster is deep or thin.
Identify cluster gaps
Compare your clusters against Search Console data and SERP results. Find topics where you have a pillar page but lack supporting content, or vice versa.
Plan strategically
Use insights to plan content that fills specific gaps in specific clusters. Every new piece strengthens a cluster rather than starting a disconnected topic.
What you can do
Vector-based cluster mapping
Morrison's vector embeddings group your indexed pages by semantic similarity. Explore how your content naturally clusters by topic and where each cluster is deep or thin.
Gap identification within clusters
Ask the AI to compare your clusters against Search Console data and SERP results. Find subtopics where you lack coverage despite having a strong pillar page.
Pillar-support relationship analysis
The AI evaluates how well your supporting pages link to and reinforce their pillar page. Identify clusters where internal linking is weak or disconnected.
Search demand alignment
Cross-reference your cluster structure with Search Console query data. See which clusters align with actual search demand and which serve topics nobody searches for.
Cross-cluster link opportunities
Find opportunities to connect related clusters through strategic internal links. Strengthen topical authority by showing search engines how your clusters relate.
Publishing priority recommendations
Ask the AI to prioritize which cluster gaps to fill first based on search demand, competitive difficulty, and how much each new piece would strengthen the cluster.
Frequently asked questions
What is topic cluster planning?
Topic cluster planning organizes your content strategy around hub-and-spoke structures. A pillar page covers a broad topic, while supporting content addresses specific subtopics and links back to the pillar. This structure signals topical authority to search engines.
How does Morrison help plan clusters?
Morrison's vector index groups your existing content by semantic similarity, revealing your current cluster structure. Ask the AI where clusters are thin, which pillar pages lack supporting content, and what new pieces would strengthen specific clusters.
How is this different from topical authority mapping?
Topical authority mapping shows where you are now – your current coverage depth. Topic cluster planning is forward-looking – it uses that map to plan what to create next, which gaps to fill, and how to structure new content for maximum authority impact.
Related use cases
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