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derived metric clicks over the window (modeled, discounted) · higher is better

Potential clicks, AI-Overview-adjusted

also called Adjusted upside clicksHaircut upside

Definition

The modeled click upside of a rank nudge after a flat discount is applied for AI Overviews absorbing clicks, the figure the striking-distance worklist is ranked on.

Scope, grain and dimensions

Grain
One keyword × one page × the window.
Dimensions
query · page · brand · intent · device
Required filters
date range
Aggregation
Row-level, and the sort key for the returned candidate list.
Metric type
derived metric · clicks over the window (modeled, discounted)

Data sources

Where you'll see this

Named reports that normally include this metric.

Content decay reportSearch opportunity report

Skills and analyses that use it

Skills carry the judgment; the analysis verbs do the reading.

Analysis verbs

striking_distance

Method rungs and levers

R2 Retrieved

A rung tells you what a movement here can and cannot explain, read the rungs below it first.

levers L3 Refresh & content qualityL7 AI-answer visibility

Ask Quattr

Caveats, freshness and failure modes

The discount is uniform across candidates because the underlying data carries no per-keyword AI Overview flag, the code states this rather than implying it.

The ordering of the worklist is unaffected by a flat discount; only the magnitudes move. Two runs with different discount settings produce the same order and different numbers.

An AI Overview can erase the modeled gain entirely on a results page it dominates, which a percentage discount cannot express.

Freshness
1 to 2 days behind, Google's own reporting lag. Any answer touching the last 48 hours says so on the card.

Common failure modes

  • Presenting the adjusted number as a forecast of traffic.
  • Comparing adjusted figures across runs that used different discount settings.
  • Reading the discount as a measured AI Overview effect for this site.

Verification

Last verified 2026-08-04 · reference version 1.1 { } This metric as JSON ↗