Google announced on October 30, 2026 that it plans to support a shared AI training control in robots.txt in 2027. For bloggers, the idea is useful: express a training preference across participating AI providers through a common signal, instead of managing every provider separately.

There’s a separate setting you can check today, too. Google’s current documentation lists a Search Console control for your site’s inclusion in AI Overviews and AI Mode. Training permission and AI search visibility need their own decisions.

I’ll help you separate those choices and work out what, if anything, you should change on your blog.

The main things to know:

  • The newly announced shared training control is planned for 2027.
  • Google-Extended is an existing control with its own scope.
  • Search Console has a separate setting for Google’s generative AI search features.

Cover: Original AI-generated editorial illustration created for this article. It represents the topic, rather than a real settings screen.

What is Google’s new shared AI training control?

Google plans to support a common preference signal in robots.txt, based on work by the IETF’s AIPREF working group. Participating AI providers could read that signal to understand a website’s training choice. Google’s announcement describes planned support in 2027, so treat this as an upcoming change when reviewing your site today.

Under Google’s proposed approach, a shared training opt-out would be treated like disallowing Google-Extended when the site hasn’t explicitly specified Google-Extended. Provider-specific instructions would continue alongside the shared signal.

I like the simpler approach. If you run a small blog, maintaining a growing list of company-specific instructions is another job to keep track of. A shared preference could make that easier, provided the services you care about adopt it.

For now, I would keep using the documented controls that already apply to your site. Review Google’s implementation guidance when support arrives before relying on the new signal.

How is Google-Extended different from AI search visibility?

Google-Extended manages specified uses of content for future Gemini model training and grounding in Gemini Apps and supported Vertex AI services. It is a robots.txt product token rather than a separate crawler. Google says it doesn’t affect inclusion in Google Search and isn’t a Google Search ranking signal. See the crawler documentation.

Grounding means providing source material to a model when it answers a question. That matters because the documented scope of Google-Extended includes more than training.

If you decide to disallow those uses, the robots.txt group is:

User-agent: Google-Extended
Disallow: /

Read the scope above before using it. I would check for an existing Google-Extended group and edit that deliberately, while preserving the other rules your site needs.

Which control matches what you want?

Choose according to whether you want to manage training preferences, Google’s specified Gemini uses, AI search inclusion or the indexing of a page. I’d make each choice separately. This table connects those goals with the controls Google documents, so you can check the relevant instructions before editing your site.

Sources: Google’s training announcement, Google-Extended documentation, and Search sharing controls.

Your goal Control to review What to keep in mind
Set a common AI training preference across participating providers The proposed shared robots.txt signal Google’s support is planned for 2027.
Restrict the uses covered by Google-Extended Google-Extended in robots.txt Its documented scope includes Gemini training and certain grounding uses.
Exclude your site from Google’s supported generative AI search features Search generative AI in Search Console This manages AI search inclusion separately from training.
Keep a page out of Google Search results altogether noindex This removes the page from search eligibility, so consider the effect on discovery.

For example, you might want readers to find your tutorials in Google Search while limiting the uses covered by Google-Extended. Another publisher might want to exclude its content from AI search features as well. Those are different goals, and I’d write yours down before changing a setting.

Where do you check the AI search setting?

Open your site’s property in Search Console and go to Settings > Search generative AI. Google’s help page lists include, exclude and inherited settings. The control covers AI Overviews, AI Mode and supported generative AI features in Discover. Google says it doesn’t act as a ranking or inclusion signal for other parts of Search.

Follow Google’s current instructions, especially if your property inherits a choice from a parent property.

  1. Select the property for the blog you want to review.
  2. Open Settings > Search generative AI.
  3. Read the current choice and check whether it is inherited.
  4. Decide whether you want your links and content included in the supported AI features.
  5. Record any change so you can compare results afterward.

I’d review the data first. Google’s Generative AI performance report shows impressions in AI Overviews and AI Mode. Google says the report may be absent when a site hasn’t received enough impressions. An impression tells you a link was shown; it doesn’t tell you whether that visitor became a reader or subscriber.

My starting point would be to compare that visibility with the visits and outcomes I can measure in site analytics. I wouldn’t assume that excluding a blog from AI features will bring its traffic back.

What should bloggers change about AI-assisted writing?

I’d use AI assistance where it helps, then check the finished post against its sources and the reader’s actual problem. Review the metadata as carefully as the body, and add a useful contribution of your own. Google’s current content guidance puts that review before publication.

Google’s October 1, 2026 changelog says its generative AI content guide was updated with information from the Search Quality Raters guidelines.

The current guide focuses on accuracy, quality and relevance. It warns about producing many pages without adding value, and calls for reviewing AI-assisted content before publication. That review includes titles, descriptions, structured data and image alt text.

Here’s how I’d apply that to a blog post:

  1. Check the announcement or support page behind every factual claim.
  2. Add something useful from your own work, such as an actual test, a clear comparison or a tool the reader can use.
  3. Separate what you tested from what the company says and what you recommend.
  4. Read the headline, description and image text against the finished article.
  5. Remove sections that repeat the answer without helping the reader take the next step.

That fits Google’s AI search optimization guidance, which emphasizes useful original perspectives and familiar SEO fundamentals. For a practical example, I’d rather publish one carefully checked guide showing which control matches a reader’s goal than several posts repeating the same announcement with different keywords.

If you need to review the rest of your site, my website optimization checklist covers speed, SEO and AI search together.

Frequently asked questions

Does using AI to help write a post break Google’s rules?

Google’s guidance allows useful applications such as research and structure, while warning about generating pages without adding value. I’d judge the finished article by whether it is accurate, original and helpful to the reader. Check the body and its metadata before publishing, regardless of which tools helped prepare it. Source: Google’s content guide.

Google says Google-Extended does not affect a site’s inclusion or ranking in Google Search. Its documented purpose covers specified training and grounding uses. For your site’s participation in AI Overviews and AI Mode, review the separate Search Console setting rather than assuming a Google-Extended rule makes that choice. Sources: crawler documentation, Search controls.

Is the shared control a guarantee that every AI company will follow my choice?

The announcement describes a preference signal for participating providers. I would check each provider’s published support before relying on it for that service. A common instruction could reduce the work of managing preferences, but Google’s announcement alone doesn’t establish that every AI company has adopted or implemented the proposal. Source: Google’s announcement.

That’s what I’d check first: your training preference, your AI search setting and the quality of the posts you’re publishing. Which platform is your blog on, and are you trying to limit training, stay visible in AI search, or both? Share that context if you need help choosing the right control.