Content lifecycle
Half your traffic is on the slow drift down.
Old posts that used to rank are quietly losing position. ForestSEO predicts decay before you feel it, queues the refresh by business value, and generates the brief automatically.
The pain
Symptoms you'll recognize
- You only notice a drop after it's locked in
- Refresh decisions are vibes, not data
- Nobody owns the refresh — so it never happens
Predict
Decay velocity modeled per page.
We don't wait for the drop. We model the velocity and surface pages trending toward meaningful loss before it's locked in.
- Per-page decay velocity
- Predicted-loss alerts
- Slack + email + webhook delivery
Prioritize
Refresh queue scored by traffic-at-risk × conversion potential.
The queue is auto-sorted by how much actually-monetizable traffic is at risk on each page. You spend cycles on the pages that matter.
- Traffic × conversion scoring
- One-click brief generation per refresh
- Per-cluster refresh velocity targets
Win back
62% of refreshed pages regain or beat their original rank in 90 days.
We track refresh outcomes back into the loop, so the model learns what kinds of refreshes work on your content.
- Refresh outcome tracking
- Win-rate dashboards per cluster
- Compound learning across cycles
Where this fits
How ForestSEO solves it
Refresh is built into the platform as its own phase of the loop. Performance signals feed the refresh queue automatically — no one has to remember.
“Our refreshed pages regain or beat their original rank 62% of the time within 90 days. We trust the queue.”
Lisa Thompson
Founder, Local Services
Related use cases
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