Analyze performance
Review rankings, clicks, impressions, engagement, and content coverage after publication.
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Feedback Agent
Optimization Loop
Feedback is the planned optimization loop that analyzes what is working, what is not, and where the system should go deeper.
Product animation
Performance signals become the next action.
Feedback turns clicks, impressions, rankings, and engagement into recommendations that flow back into Radix.
Published pages
Performance signals
Clicks Impressions Rankings EngagementRecommendations
Update Page Expand Topic Add Internal Links Create Supporting Page Back to Radix AgentPlanned capabilities
What this layer does.
It closes the loop between publishing and learning so Lumenario can continuously improve the content system based on real performance.
Identify winning topics
Find pages and clusters that show traction and deserve deeper investment.
Recommend updates
Suggest refreshes, expansions, rewritten sections, and stronger support content.
Suggest supporting articles
Find deeper coverage opportunities around topics already gaining traction.
Find linking improvements
Recommend internal links that can improve discovery and cluster strength.
Create new Radix opportunities
Turn performance data into new topics, clusters, and page opportunities.
Operating boundary
Inputs and outputs.
Each layer has a clear role so research, planning, review, publishing, and optimization stay auditable.
Primary input
Rankings, clicks, impressions, engagement, content coverage, internal link data, and page performance
Primary output
Update recommendations, supporting page ideas, linking improvements, and new Radix opportunity signals
Next step
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