The slide you don't notice
Find the pages quietly losing their clicks.
QueryScope reads each page against its own history and flags the ones truly sliding, not the ones just losing the click to an AI Overview.
From $14.99/mo · works in Claude Code, Cursor, Cline & Windsurf
Built from the Search Console audit we run on our own SaaS, AppScreenshotStudio.
Why it hides
No single week looks wrong. The trend does.
Decay is a slow slide, so you never catch it on a given day. And Search Console only keeps 16 months, so the earliest, cheapest-to-fix part of the decline is already gone by the time you look. You need each page read against its own history, with a floor so the tiny pages don't cry wolf.
One week at a time
No red flag on any single day.
Against its own history
The 3-month line is the flag.
Three reads turn a page's falling line into a verdict on whether it is really decaying, and what to do about it.
Is the page sliding, or is something taking the click?
A page whose clicks fall while its impressions and rank hold steady is not decaying. It still ranks; an AI Overview is answering the query first. QueryScope separates the two, because one wants a refresh and the other wants a citable answer.
clicks down · impr flat · rank flat → not decay
How to detect content decay in Search ConsoleWhich way the drop points names the disease.
Clicks falling at flat impressions is a snippet or SERP problem. Impressions falling is a ranking or demand problem. QueryScope reads both from your daily history, so the falling line comes with a cause instead of just a shape.
118 → 71 clicks · impressions also down → real decay
What each Search Console metric measuresReal traffic lost, not a small page jittering.
Decay is read on page-level data with a click floor, so a page that fell from 3 clicks to 1 never crowds out one that fell from 40 to 25. And because Search Console forgets past 16 months, QueryScope keeps the daily history the tool throws away.
sorted by clicks lost · below-floor pages ignored
The 16-month wall and why you snapshotOne line in your IDE. Then authorize and pick a site.
claude mcp add --transport http queryscope https://mcp.queryscope.dev/mcp
Then ask: "which pages are decaying?"
Catch the slide while it's still cheap to fix.
Connect your site and ask your agent which pages are decaying. One price per site count, no credits, no metering.
7-day free trial · $0 due today · cancel anytime in one click
FAQ
Reading decay in your own data.
How does QueryScope decide a page is decaying?
It compares each page's clicks against its own recent baseline, over matched windows, and flags a sustained drop rather than a single bad week. It reads impressions alongside clicks to separate real decay from a page that's only losing the click to a SERP feature, and applies a floor so tiny pages stay out.
Is a drop in clicks always content decay?
No. A page can hold its rank and still lose clicks when an AI Overview answers the query above it. QueryScope treats clicks falling at steady impressions and position as a SERP change, not decay, because the fix is a citable answer, not a rewrite.
Is it decay, or did a Google update hit my site?
Read the shape of the drop. Content decay is a slow slide on one page; an algorithm-update hit is a sharp step on a date Google published, usually across many pages at once. If several pages fell together on a confirmed update date, that's a site-wide re-scoring, not decay, and a single-page refresh won't answer it. Telling decay from an update walks the slope, timing, and breadth reads.
Can I see decay older than 16 months?
Not from Search Console alone: it keeps 16 months and offers no backfill. QueryScope stores a daily history on our side, so your window never closes and a slow, multi-year slide stays visible.
Will reviving a page bring the traffic back?
QueryScope can't promise that. It reads your search data and stops at the click: it shows the page is losing clicks and which kind of loss it is. Whether a refresh recovers the ranking, and whether the visitors convert, is a different measurement in your analytics or product.