Find Pages Losing Visibility
Identify content that once earned AI citations and is now losing ground.
Command
Use the Peec MCP to pull the URL report for our domain for the last 90 days broken into three 30-day windows. For each of our owned URLs that appeared in AI search at any point in that period, calculate the retrieval rate trend by comparing the first 30-day window to the most recent 30-day window. Rank the results by largest percentage decline in retrieval rate. Return a prioritized list of our owned URLs with: URL, page type or classification, retrieval rate 90 days ago, retrieval rate in the most recent period, percentage drop, and which competitor URLs have gained retrieval on the same prompts during the same time.
What this use case can do for you
Content decay in AI search is silent and compounding. A page that was earning strong citations six months ago could be gradually losing ground to a competitor's newer, more comprehensive article, and the only way you would know is if you were specifically looking for it.
Most teams are not.
This makes the decay visible before it becomes irreversible. It surfaces the specific pages where retrieval rate has declined most steeply over 90 days and shows which competitor content has gained on the same prompts during that period.
The output is a prioritized refresh queue built on evidence: not based on which pages you think might be outdated, but on which ones AI is already moving away from.
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