Search Console added an explicit control for blocking content from Google’s AI features in June 2026, and it changes what “monitoring your search presence” needs to include. Before this, you could infer whether a page was showing up inside an AI Overview by watching traffic patterns and guessing. Now there’s a direct setting, and directives like nosnippet, data-nosnippet, and max-snippet have a more concrete, testable effect on whether a page’s content can be quoted inside an AI-generated answer.
What the New Control Does
The AI features control in Search Console lets a site owner opt specific content out of being used as a source for Google’s AI-generated answers, separate from the existing indexing controls. This matters because opting out of AI features is not the same as opting out of search indexing — a page can still rank and appear as a normal listing while being excluded from the content Google’s AI systems draw from. Treating these as the same setting is the most common mistake teams make when they first implement this.
Building the Per-Template Policy
Don’t apply one directive site-wide and call it done. Different templates carry different risk if they get quoted out of context inside an AI answer:
| Page Type | Recommended Default | Reasoning |
|---|---|---|
| Evergreen technical guides | Allow AI features | Being cited inside an AI answer with attribution is a visibility win for content designed to be referenced |
| Pricing or time-sensitive offer pages | Block with data-nosnippet on the specific price/offer block |
A stale quoted price outlives the page update and creates a support and trust problem |
| Legal, medical, or compliance content | Block or heavily restrict | Out-of-context quoting of qualified statements is a liability risk, not just an SEO one |
| Comparison and “best of” pages | Allow, but audit citations regularly | These pages are heavily used as AI answer sources — worth confirming the AI summary reflects the actual recommendation, not a cherry-picked line |
Implementation and Verification Steps
- Classify templates first. Group URLs by template type before writing any directive — applying rules page-by-page doesn’t scale and creates inconsistency.
- Wrap the specific content, not the whole page, with
data-nosnippetwhere only part of a page (like a live price) is the risk. Blocking an entire page over one stale-prone element throws away legitimate visibility. - Verify with URL Inspection after deployment — confirm Google’s rendering reflects the directive rather than assuming the HTML change was picked up on the expected crawl schedule.
- Set a recrawl expectation, not a fixed date. Directive changes take effect after the next crawl and processing pass, which is not instant and not on a guaranteed timeline.
- Monitor citation behavior for pages you deliberately left open to AI features — if a comparison page is being quoted with an outdated recommendation, that’s a signal the underlying content needs a refresh, not just an AI-controls change.
Where This Falls Short
These directives are respected signals, not guarantees enforced by contract. Google has been explicit that structured data and content directives inform AI systems but don’t guarantee inclusion or exclusion in every surface, and behavior can vary between AI Overviews, AI Mode, and other AI-powered placements. Build your monitoring around observed behavior on your own properties, not around an assumption that a directive is a hard switch everywhere it might apply.
