Quattr leads AEO, SEO, and content rankings on G2 Spring 2026. View our G2 badges →
Request demo
Request demo

rate share of the modeled gain discounted (0 to 1); the shipped default is 0.3 ·

AI-Overview haircut

also called AIO haircutAI Overview discount

Definition

The flat discount applied to modeled click upside to account for an AI Overview absorbing clicks that would otherwise reach an organic result.

Scope, grain and dimensions

Grain
One run of the striking-distance analysis.
Aggregation
A single setting applied uniformly to every candidate in a run; it is not derived from the data being analysed.
Metric type
rate · share of the modeled gain discounted (0 to 1); the shipped default is 0.3

Data sources

Where you'll see this

Named reports that normally include this metric.

Content decay reportCTR opportunity 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

Caller-settable anywhere between 0 and 1, so two runs of the same worklist can disagree entirely on magnitude while agreeing on order.

Applied uniformly because there is no per-keyword AI Overview flag on this data; it is a stated approximation in the code, not a measurement.

AI Overview presence measured elsewhere in the product is on-results-page inclusion, a different surface from answer-engine citation, neither of them feeds this discount.

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

  • Quoting the default as an observed AI Overview effect for a specific site.
  • Tuning the discount until a worklist reaches a desired total.

Verification

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