Short answer: Content decay is a published page slowly losing search traffic over weeks, usually because its rankings slip as newer competitors appear or its information ages.
To find it, compare the last 28 days of Search Console data against the 28 days before, and look for pages whose clicks fell and whose position got worse. Those are the pages where a refresh can work. Pages whose clicks fell at flat rank are not decaying in a way a rewrite will fix, and a seasonal dip is not decay at all.
What does content decay actually look like?
Pages rarely collapse overnight. They bleed. A guide that earned steady clicks starts to earn a little less each week, and because the decline is gradual it hides inside normal variation. By the time it shows up in a monthly report, the rankings are often gone, and recovering a page that has dropped off the first page is much harder than defending one that is slipping toward the edge of it.
That is the argument for looking proactively. The aim is to catch pages while they are still on page one, when a refresh still has a good chance of working, rather than to run a post-mortem on a page that lost its position months ago.
Decay has ordinary causes. A competitor publishes a newer, more complete answer. Your page quotes a figure, a tool or a policy that has since changed. The question behind the query shifts, so the page answers what people used to ask. None of these announces itself, and each one shows up the same way in the data: a slightly lower position, then slightly fewer clicks, repeated over several weeks. That slow, consistent slope is the signature to look for, and it is different from the sudden step down that a technical fault or a deindexed page produces.
Compare the recent 28 days against the equal-length 28 days immediately before, with no overlap. Short windows are noisy: a 7-day comparison surfaces normal week-to-week variance as decay. This is a sensible default, not a law. Use longer windows unless you are investigating something specific.
Did the page lose rank, or just clicks?
This single question decides whether a refresh is worth doing, and getting it wrong wastes the most time. Look at clicks and position together for each declining page.
| What you see | What it means | Is a refresh the answer? |
|---|---|---|
| Clicks down and position worse | Competitors are outranking the page, or its content has aged out of relevance | Yes. This is the actionable case |
| Clicks down at flat position | The page still ranks where it did. Think seasonality, a changed results page, an AI Overview absorbing clicks, or falling demand | No. Rewriting cannot fix a problem the page does not have |
| No comparable position in one period | The page drew no impressions in one window. It may be deindexed, redirected or newly published | Check what happened to the page before treating it as decay |
Rewriting a page that never lost rank is work that cannot possibly fix the problem. It also resets whatever the page was doing well. Confirm rank loss first, and only then plan the work.
How do you avoid mistaking seasonality for decay?
Search Console cannot distinguish decay from seasonality, and neither can any tool built on it. A tax guide declining in May is not decaying. Before you recommend work, ask whether the topic has an annual cycle. If it might, compare against the same window last year rather than the previous window.
If you cannot rule seasonality out, say so and let the owner of the content decide. Presenting a seasonal dip as decay is the fastest way to lose trust in the whole report, because the first refresh that fails to help will be traced back to that mistake.
A small base is not a finding
A page that lost 90 percent of a tiny number is usually noise. Set a minimum baseline of impressions so you only look at pages that had enough traffic to measure, and say so plainly rather than padding the list with tiny pages.
Which decaying pages are worth the work?
Not every decaying page deserves a refresh. Rank the candidates by three things, in this order.
How much traffic it used to bring
A page that was worth 800 clicks a month justifies more work than one worth 20. Use the baseline period, not the current one.
How far it has fallen
A page at position 8 is still on page one and is worth more than one at 40, where recovery means outranking everything in between.
Whether the topic still matters to the business
The data cannot tell you this. Ask. A decaying page about a service you no longer sell is a candidate for a redirect, not a rewrite.
Then be specific about why the page is probably declining and what the refresh should address. Update this post is not actionable. A useful note says which pages now rank in the top five and what they cover that yours does not. If a scan returns nothing, that is a real result. Report it plainly rather than lowering the thresholds until something appears.
How do you automate the search?
Doing this by hand means exporting two periods of page data, joining them and calculating changes for every page. That is the tedious half, so we packaged the method as an agent skill. It can be installed into Claude Code and other coding agents, and it reads the lost-rank signal, flags seasonality risk and prioritises the list the way described above. The guide has the exact calls.
Read the content decay skill guideThe skill source is public on GitHub.
View the skill source on GitHubThe overview lists every available skill and how to install them into Claude Code and other agents.
Install agent skillsIf the loss is sudden rather than gradual, the drop diagnosis is a better starting point.
Why did my organic traffic drop?Common questions
What is content decay?
Content decay is a page slowly losing search traffic over weeks or months, usually because its rankings slip as competitors publish newer material or its information ages. It is most fixable while the page still ranks on page one, which is why it pays to look for it before the loss is large.
How do I find pages with content decay?
Compare the last 28 days of Search Console data with the 28 days immediately before and list pages whose clicks fell by a meaningful share from a meaningful baseline. Then check whether position also got worse. Pages with falling clicks and worsening position are the ones where a refresh can help.
Should I refresh a page whose clicks dropped but whose ranking did not?
Usually not. If the page still ranks where it did, rewriting it cannot fix the loss. Look at seasonality, a changed results page, an AI Overview absorbing clicks, or falling demand for the query instead.
Can seasonality look like content decay?
Yes, and Search Console cannot tell the difference. A tax guide falling in May is not decaying. For topics with an annual cycle, compare against the same window last year, and if you cannot rule seasonality out, say so rather than recommending a refresh.
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