Plan which pages to merge, redirect, or differentiate
Use vector similarity and performance data to identify groups of overlapping pages, then get AI-generated consolidation plans with merge targets and redirect recommendations.
Illustrative preview - actual platform experience may differ.
How it works
Semantic similarity meets performance data to reveal what should be merged.
Identify overlap clusters
Morrison's vector index finds groups of semantically similar pages. Combined with Search Console data, you see which clusters are splitting traffic.
Assess consolidation value
Ask the AI to evaluate each cluster: which page should be the canonical target, what content is unique to each, and what redirect strategy makes sense.
Generate consolidation plans
Get structured plans your team can act on - merge targets, redirect mappings, and content that should be preserved from each source page.
What you can do
Vector-based cluster detection
The vector index groups semantically similar pages into clusters. See which pages cover the same ground - even when they use different terminology.
Performance-weighted recommendations
Clusters are ranked by Search Console data so your team focuses on overlaps that are actually splitting traffic, not just pages that happen to be similar.
Redirect mapping
Ask the AI to generate redirect recommendations for each consolidation cluster. Get source-to-target mappings your team can implement directly.
Content preservation analysis
Not everything in a redundant page is redundant. Workflows identify unique content in each source page that should be migrated to the target before redirecting.
Link equity assessment
Surface pages in each cluster that have valuable backlinks or internal links. Ensure redirect plans preserve link equity rather than losing it.
Batch planning across segments
Run consolidation analysis across entire site sections at once. Find overlap patterns that repeat across product categories, blog topics, or regional pages.
Frequently asked questions
What is content consolidation?
Content consolidation merges multiple overlapping or thin pages into a single, stronger page. By combining content, links, and ranking signals, the consolidated page typically outperforms the individual pieces it replaces.
How does Morrison identify consolidation candidates?
Morrison uses vector similarity to find semantically close pages and cross-references Search Console data to check if they're splitting traffic. Pages that are similar in content AND competing for the same queries are strong consolidation candidates.
Does Morrison handle the redirects?
Morrison generates the consolidation plan – which pages to merge, what content to preserve, and which URLs to redirect. The actual implementation of redirects and content merges stays with your development and content teams.
Related use cases
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