Industry · Large content sites
Search consulting for large content sites.
A large archive is an asset and a liability at once. Thousands of pages competing with each other, an archive nobody maintains, and no structure connecting it all is the most common shape of a stalled content site.
What makes large content sites different
- Tens of thousands of pages accumulated over years
- Systematic cannibalisation between old and new coverage
- Archive pages with links and residual traffic that nobody maintains
- Author and expertise signals matter for credibility
- Increasingly, the question is whether AI systems cite you at all
What we see most often
The problems that keep recurring in large content sites
Not a generic list. These are the specific failure modes this sector produces, in rough order of how often we find them.
- 01
Cannibalisation at scale
Five articles on the same topic published over eight years, all ranking interchangeably and none of them well.
- 02
An unmaintained archive
Old pages hold links and rankings while containing outdated or incorrect information, which damages credibility with both readers and AI systems.
- 03
No topical structure
Content organised by publication date and category tags rather than by topic, so nothing accumulates authority.
- 04
Traffic that produces no business value
Huge informational volume with no commercial layer and no defined value per visit.
- 05
Being summarised instead of cited
AI surfaces answer the question and reference someone else. Original material and clear entity signals are what change that.
Scope
What we typically work on
A large content sites engagement usually draws from these. Which ones, and in what order, comes out of the diagnostic.
- Full inventory with keep / refresh / consolidate / remove decisions and evidence
- Cannibalisation resolution at cluster level
- Topical hub and cluster architecture
- Refresh and archive maintenance policy
- Author, expertise and citation signals
- Commercial layer design where a business model requires it
- AI search citation analysis on the topics you own
Fit
Signals you are a good fit
If most of these are true, a diagnostic will pay for itself. If few are, tell us anyway and we will say so.
- 5,000+ pages, or a decade of archive
- A defined business model for the traffic
- Editorial capacity to refresh and consolidate
- Willingness to remove or merge pages with evidence
Measurement
The metrics that matter here
Deliberately not rankings. These are the numbers that change a decision in this sector.
- Share of the library earning anything
- Cannibalisation clusters resolved
- Non-brand clicks on priority topics
- Value per visit against the business model
- Citation rate in AI search on the topics you own
Questions
Large content sites questions we get asked
Consolidation with a redirect is usually better than deletion, because it keeps the links and the accumulated signals. Deletion is for pages with no traffic, no links, no conversions and no strategic purpose — and it always gets human review first.
A cluster model with a canonical destination per topic, plus an editorial rule about when to update the existing page rather than publish a new one. Most cannibalisation is a workflow problem, not an SEO problem.
Services and problems most relevant to large content sites
- ServiceContent ArchitectureDesign the structure your content should have — clusters, commercial pages, internal links, briefs, pruning.
- ServiceAI Search VisibilityMeasure how your brand appears across AI search systems, and improve the signals that can influence it.
- ServiceTechnical SEO & Search GrowthMake sure search systems can crawl, render, index and understand the pages that carry your revenue.
- ProblemA large site with no clear systemLarge sites need rules, thresholds and monitoring — not a longer list of tasks.
- ProblemAI search does not mention usMeasurable, improvable, and not guaranteeable. Anyone promising guaranteed AI placement is selling something else.