Headed to the new era of AI and web crawling! The continuing evolution of Artificial Intelligence (AI) has caused search engines and large language models (LLMs) to become more reliant on web content for training and improving their algorithms. To respond, Google has introduced the LLMS.txt file – an evolving protocol designed for helping the web admins control how AI systems access their data. Google has now suggested that using a noindex HTTP header along with LLMS.txt makes it a practical move in specific scenarios. However, in this article, we have discussed the reasoning, use cases, and best practices according to Google’s recommendations that digital marketing experts should follow.
Similar in concept to robots.txt, LLMS.txt has been designed with the specific purpose to control the access of LLMs (such as ChatGPT, Claude, Gemini) to a website. Nevertheless, it is not yet an official standard, but LLMS.txt allows the publishers to declare how the AI models will be able to use their data, to prevent unwanted scraping or dataset inclusion.
As a rule, here are the key highlights of the benefits of LLMS.txt:
The noindex HTTP header is the server-sent directive informing the search engine crawlers not to index a particular page. Unlike meta tags in HTML, HTTP headers are sent before any content loads, making them a practical and often invisible method to manage crawler behaviour.
Generally, these include the capabilities of the Nonindex header:
For instance:
This header helps in preventing a page from being indexed, despite its content.
Google has clarified in recent discussions that while LLMS.txt instructs AI crawlers on behaviour, it does not necessarily prevent a page from being indexed by Google Search or any other engines. In that case. here is where the noindex header enters.
The merits of combining Noindex with LLMS.txt
Let us now discuss the key benefits of combining Noindex with LLMS.txt.
The llms.txt file has been designed to manage access for large language model (LLM) crawlers, such as GPTBot (OpenAI), ClaudeBot (Anthropic), and GeminiBot (Google). It instructs these bots on which parts of a site they are permitted to crawl and use for training AI models.
Nevertheless, LLMS.txt does not influence how search engines index content. A page could still appear in Google Search results, even if AI bots are disallowed from accessing it.
On its reverse side, the noindex directive informs search engine crawlers, such as Googlebot, to exclude the page from their index. Consequently, it indicates that even if a search engine visits a page, it will not appear in search results if the noindex header or meta tag is present.
As per Google’s recommendation, pairing the two is advantageous because:
Together, they bring up a dual-layered control – one over AI models’ way of using content, and the other over visibility in search engines. This is particularly important for content publishers, research sites, or proprietary platforms that aim to restrict both access and discoverability.
To prevent a specific webpage from appearing in traditional search engine results, such as Google Search or Bing, the Noindex header should be used. LLMS.txt should be used when Large Language Models (LLMs) are to be prevented from using the content on the website for training purposes.
Furthermore, these two directives serve different purposes, controlling access for various types of web crawlers.
The noindex directive is a meta tag or HTTP response header that instructs search engine crawlers not to include a particular page in their search index. It should be noted that its focus is on public search visibility.
A meta tag in the <head> section of HTML is placed, or the server is configured to send an X-Robots-Tag HTTP header.
Here are the worthy instances of using the Noindex Header:
For keeping your in-progress versions of pages out of public search results.
For all login pages, employee-only portals, or other pages not for the public’s use.
Confirmation pages after a form has been submitted, and no further searching is needed.
Pages with little unique value are likely to negatively impact the site’s SEO.
Pages with information that should be accessed through a direct link but not be discovered through search.
LLMS.txt is the proposed, but yet-to-be universally adopted, extension to the Robots Exclusion Protocol (REP). Its primary goal is to empower website owners by giving them control over whether their content is used for training generative AI models. Clearly, it focuses on the amount of data AI crawlers use, rather than search indexing.
It is the txt file and is similar to robots.txt and is placed in the website’s directory (for instance “awe” s “”e” .co”/” lms.txt). It specifies the rules for crawlers associated with LLMS. Though the exact syntax and universal standard are continuing to evolve, the common proposal is:
User-agent: *
Disallow: /
User-agent: Google-Extended
Disallow: /
This example illustrates Google’s use of an agent for data collection in its AI models. When it is disallowed, it prevents the content from being used for training purposes.
LLMS.txt is to be used in these cases:
For explicitly stating that a brand’s creative works, like the articles, images and codes, should not be used in training the AI models.
In case the site contains unique datasets, research, or business information that should not be ingested by third-party AI.
As the general measure of the site’s usage procedure, it is controlled beyond simple web browsing and search indexing.
To briefly summarise, Noindex is used for search engine visibility, and LLMs.txt (or any similar directives in robots.txt) is used for AI model training data.
While noindex and llms.txt provide stronger control over content usage and display online, they are not foolproof. These are a few key considerations to understand:
The LLMS.txt file is just a new and informal proposal. It is not a web standard like robots.txt. Hence, not all AI crawlers could support or respect it, particularly the ones from smaller or non-compliant companies.
The noindex directive helps prevent indexing; however, it does not prevent crawlers from accessing or reading the content. In case a bot ignores the indexing rules, it still retains its ability to scrape the data. For entirely blocking access, here are what to consider:
Even after applying noindex, third-party platforms such as archive sites, social media previews or AI datasets that had previously been trained on the site could still store cached versions of content. With no easy fix available, the only options are takedown requests or legal actions.
Proper server configuration is necessary when adding HTTP headers such as X-Robots-Tag. On the misconfigured servers, this is likely to cause caching issues or unexpected behaviour, as it is handled without care.
Both LLMS.txt and noindex are dependent on the crawler choosing to prioritize the directive. While Google and OpenAI generally respect these signals, the bad actors or rogue crawlers could ignore them entirely.
AI will continue to evolve, and our tools to control content usage should also become more advanced. Pairing LLMS.txt with a noindex HTTP header enables webmasters to better manage both search engine visibility and AI crawler access. While LLMS.txt continues to gain adoption, combining it with the traditional directives like noindex will provide an added protective layer. This is a forward-thinking step for businesses and creators as well, toward responsible AI content governance.
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