Imagine managing a website that publishes blogs, business information, guides, product details and other useful content. You spend time researching topics, creating original articles and updating your pages so people can find useful information online.
Now imagine that different AI companies may have different preferences for how they use website content for AI training.
As a website owner, you may want to communicate your preferences clearly. However, managing separate instructions for different AI providers can become complicated, especially as more AI platforms enter the market.
Google has announced a development that could make this process simpler in the coming years.
The company plans to support a shared AI training preference in the robots.txt file, based on work by the IETF’s AIPREF working group. Google aims to support this approach in 2027.
In simple words, website owners could eventually use one shared policy token to express their AI training preferences across participating AI providers instead of managing separate instructions for every provider.
For website owners, publishers and digital marketing professionals, this is an important development to understand.
Why Is Google Introducing a Shared AI Training Control?
The internet is changing quickly.
A few years ago, most website owners were mainly concerned about how search engines discovered, crawled and indexed their website pages.
Today, AI-powered platforms have become another important part of the online information ecosystem. People use AI tools to ask questions, understand complicated topics, compare products and discover businesses.
As AI technology develops, questions about website content and its use for AI training are also becoming more important.
Consider a simple example.
You own a website that publishes educational articles, business guides and industry research. Different AI providers may have different ways of communicating their content preferences.
Managing separate instructions for multiple providers can create additional work.
Google’s proposed shared approach aims to make this communication more consistent.
Instead of maintaining separate AI training instructions for every participating provider, website owners could eventually express their preferences through a shared policy token in robots.txt.
The idea is to make AI training preference management easier and more consistent across the web.
What Is the IETF AIPREF Working Group?
To understand Google’s announcement, it is useful to know about IETF and AIPREF.
The Internet Engineering Task Force (IETF) is an organisation that develops technical standards and protocols used across the internet.
AIPREF is the working group involved in developing a common approach to communicating preferences related to how automated systems use website content.
Google’s announcement is based on work by this IETF working group.
The bigger idea is to create a shared way for website owners to communicate their AI-related preferences.
This matters because the internet includes millions of websites and many different AI providers. A common approach could reduce the need for website owners to manage different instructions separately.
It is important to understand that Google’s announcement concerns planned support for this shared approach. It does not mean that every AI provider already supports the same policy.
How Could the Shared AI Training Preference Work?
Let’s understand this with a simple example.
Suppose you run a business website that regularly publishes original articles, industry insights and educational resources.
You want to communicate your preference regarding the use of your website content for AI training.
Currently, website owners may need to understand and manage provider-specific controls where available.
Under the proposed shared approach, a website owner could eventually add a common policy token to the website’s robots.txt file.
Participating AI providers could recognise that shared preference and use it when interpreting the website owner’s instructions.
This could make the process easier because the website owner would not need to manage a separate preference for every participating provider.
However, the exact implementation, supported providers and practical behaviour will depend on the standard and the providers that adopt it.
The important point is that the shared policy is intended to make communication more consistent.
What Is the Role of robots.txt?
If you manage a website, you may already know about the robots.txt file.
It is a text file generally placed in the root directory of a website. It communicates instructions to automated crawlers about which areas of a website they may or may not access.
For example, a website may use robots.txt to manage crawler access to certain directories.
A simplified example looks like this:
User-agent: *Disallow: /private/This example communicates a crawling instruction to automated user agents that follow the rules.
Google’s proposed shared AI training preference would introduce another way to communicate AI-related preferences through this familiar website file.
However, website owners should not assume that adding an unannounced or unsupported token today will automatically control every AI provider.
The shared approach needs to be supported and recognised by participating providers.
What About Google-Extended?
One important part of Google’s announcement is that existing controls such as Google-Extended will continue to work.
This is worth understanding because some website owners may wonder whether the proposed shared policy will replace their existing Google controls.
The announcement does not suggest that existing Google-Extended controls will stop working.
Google has stated that these controls will continue to work alongside its plans for shared AI training preferences.
For website owners, this means there is no reason to remove existing controls simply because Google has announced a future shared approach.
If you already use Google-Extended, continue to understand and manage it according to Google’s official documentation.
You should also avoid making unnecessary changes to your robots.txt file based only on future plans.
When Will Google Support This Shared AI Training Control?
Google aims to support the shared AI training preference approach in 2027.
This is an important detail.
The announcement describes a future plan, not a feature that every website owner can immediately start using across all AI providers.
Before implementation, the shared standard and its practical adoption need to develop.
AI providers will also need to participate and support the approach for website owners to benefit from a common policy.
Until then, website owners should continue using the controls and technical instructions currently supported by the platforms they work with.
My recommendation is to follow official announcements rather than rushing to add unfamiliar directives to your website.
What Does This Mean for SEO and GEO?
As the founder of Digi Ustad, I believe this announcement highlights another important part of the changing search landscape.
Businesses are no longer thinking only about traditional Google rankings. They are also paying attention to how their information appears across AI-powered search experiences.
This has increased interest in areas such as Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO).
However, it is important to understand that AI training preferences and AI search visibility are two different subjects.
A website owner’s AI training preference is about communicating how they want participating AI providers to handle their content for training purposes.
SEO, AEO and GEO focus on helping useful website information become discoverable and understandable across search and AI-driven experiences.
The two areas may influence how businesses think about their online content strategy, but one should not be confused with the other.
For example, a business may want its useful service pages and educational content to be discoverable in search experiences while also having clear preferences about AI training.
These are separate considerations that website owners should understand before making technical decisions.
What Should Website Owners Do Right Now?
Although Google’s shared AI training control is planned for 2027, website owners can start preparing by understanding their existing website controls.
Here are some practical steps worth considering.
1. Review Your robots.txt File
Check your website’s current robots.txt file.
Understand which crawler instructions are already present and whether they are still required.
Avoid adding unfamiliar directives without checking whether the relevant providers support them.
2. Understand Existing AI Crawler Controls
Different providers may offer their own controls for communicating content preferences.
Website owners should understand what these controls do and how they differ from ordinary search crawling instructions.
Google-Extended is one example of an existing Google control that will continue to work.
3. Keep Your Website Content Organised
Maintain a clear website structure.
Use descriptive page titles, relevant headings, helpful internal links and original content.
These are useful website practices regardless of how AI training preferences develop.
4. Follow IETF and Google Updates
The shared approach is based on work by the IETF’s AIPREF working group.
Website owners and technical SEO professionals should follow updates from Google and the IETF to understand when the approach becomes available and how it should be implemented.
5. Do Not Confuse AI Training With AI Search Visibility
This is particularly important for businesses investing in SEO, AEO and GEO.
A setting that communicates an AI training preference should not automatically be treated as a ranking setting or a guarantee of visibility in AI-generated answers.
Understand the purpose of each technical control before changing your website configuration.
My Final Thoughts: Website Owners Need More Control and Clarity
I see Google’s announcement as an interesting step towards making AI-related website preferences easier to communicate.
As more AI providers become part of the online ecosystem, website owners need clear and consistent ways to express how they want their content to be used.
Managing separate instructions for every provider may become increasingly difficult. A shared policy could make that process simpler, provided that participating providers adopt and correctly support it.
However, there is still time before Google’s planned 2027 support.
For now, website owners should continue managing their existing crawler instructions, understand available AI controls and focus on publishing useful, original content.
At Digi Ustad, we believe the future of digital visibility will involve more than traditional keyword rankings. Understanding search engines, AI-powered discovery and website-level technical controls will all be important parts of the conversation.
The internet is evolving, and website owners should be prepared to understand not only how their content gets discovered, but also how their preferences are communicated across the growing AI ecosystem.
This article is based on Google's announced plans. The shared AI training preference is a future development targeted for 2027, not a currently available universal control.
