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Should a client opt out of Google’s AI answers?
Decide whether Google’s AI features fit a client’s publishing and commercial goals. Understand the control, the trade-offs and what to measure.
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Whether a client should appear in Google’s AI answers depends on its goals, rights and publishing model. An opt-out can be a deliberate business decision. It is not a reliable way to recover visits lost elsewhere in Search.
What happened (added 19 September 2026): Google finished switching on the Search Console AI report and the opt-out worldwide on 31 August 2026. What that report shows, and what it leaves out.
Understand the control before using it
Google began testing the Search Console control with UK site owners in June 2026, as reported by 9to5Google. The control concerns inclusion in Search’s generative-AI features. It should not be confused with a general prohibition on model training.
Check the current setting and its documented scope in Search Console before changing it. Google has said the opt-out is not a ranking signal for ordinary Search. That does not mean traffic will stay constant: removing eligibility for an AI surface can remove opportunities for impressions and referral visits from that surface.
Start with the client’s objective
A publisher may have contractual, editorial or commercial reasons to limit reuse. A service business may instead value relevant mentions and referral opportunities. Neither decision follows automatically from the number of AI impressions.
Ask what the client wants to protect or improve. Is it content licensing, attribution, subscriptions, enquiries or accurate representation? A citation is a source reference; it is not necessarily Google’s endorsement of the business or a qualified lead.
If the concern is an inaccurate answer, inspect the cited material first. Correcting an outdated source and withdrawing from an entire answer surface are different responses to different problems.
Record the decision and evaluate it
Get the client’s approval for the chosen setting, note its scope and activation date, and agree what evidence would justify revisiting it. Keep copies of relevant baseline reports.
Compare Search performance, AI impressions where available, referrals and business outcomes over a useful period. Account for seasonality, ranking changes and other site work. A before-and-after change alone does not establish that the setting caused it.
The AI performance report can help monitor appearances in Google’s features. Separate citation checks are needed for other assistants. Explain those boundaries in the client report so a decision about Google is not mistaken for a decision about every AI service.
