Overview
A model for detecting and diagnosing pages losing visibility before the loss becomes a cliff.
Business problem
Pages quietly decline for months and the drop is only noticed once traffic and citations have collapsed.
Decision supported
Whether and how to refresh a decaying page.
Inputs & outputs
Inputs
- Per-page visibility trend
- Freshness signals
- Competitor movement
Outputs
- Decay stage
- Refresh vs consolidate vs retire decision
Step-by-step process
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1
Detect
Flag pages on a sustained downward trend.
-
2
Diagnose
Separate staleness, competition and technical causes.
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3
Decide
Refresh, consolidate, or retire based on the cause and value.
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4
Renew
Update substance, not just dates, and re-earn citations.
Maturity model
-
L1
Reactive
Decay noticed after the fact.
-
L2
Monitored
Trends watched per page.
-
L3
Diagnosed
Cause identified before action.
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L4
Prevented
High-value pages on a refresh cadence.
KPIs
- Decay caught within 30 days
- Refresh recovery rate
Common mistakes
- Changing the date and nothing else
- Refreshing low-value pages
- Missing competitive causes of decay
SearchScore insight
Recommended next steps
Where this fits - and what's next
The SearchScore path from a problem you feel to visibility you can measure.