Content Systems Review
A maintainable model for taxonomy, internal linking, overlap and content decay.
Evidence before recommendations.
A content system is more than a list of pages. It includes how topics are named, how pages relate, which templates surface those relationships and who owns changes over time. The review looks for structural causes of weak discovery instead of prescribing more publishing by default.
- Topic and intent inventory
- Hub, sibling and orphan relationship map
- Overlap and cannibalization samples
- Update, merge, redirect or retain framework
- Prioritized content-system backlog
What happens during the review.
Scope
Agree on the affected population, decision and evidence available.
Sample
Select representative URLs across templates, states and traffic tiers.
Test
Compare crawler, rendered, platform and server observations.
Decide
Document root causes, confidence, reach and implementation order.
Validate
Define checks that show whether the change worked after release.
Inputs that make the review useful
- A specific business or search symptom
- Access to relevant reports where available
- Recent release or migration context
- An engineering or editorial owner
Scope factors
Effort depends on URL count, template diversity, JavaScript rendering, internationalization, platform access and the number of teams involved. Fixed pricing is not shown because those variables materially change the work.
Recommendations reduce uncertainty and implementation risk; they cannot guarantee search-engine inclusion, traffic or ranking positions.