Google Downplays LLMs.txt

Google has once again weighed in on the ongoing discussion surrounding LLMs.txt, with the company’s Search Advocate, John Mueller, describing the proposed standard as largely speculative at the present time. His comments have sparked further debate among SEO professionals, website owners and developers about whether implementing LLMs.txt offers any real benefit today or whether attention should instead be directed towards newer alternatives.

The discussion began on Reddit, where a user questioned what appeared to be conflicting guidance coming from different parts of Google. On one hand, Google Search Central has repeatedly stated that website owners do not need to create special AI-related files, such as LLMs.txt, in order to appear in AI-powered search experiences. On the other hand, Chrome’s Lighthouse documentation includes an audit that checks for the presence of an LLMs.txt file.

This has led some site owners to wonder whether Google is sending mixed messages regarding the importance of the proposed file.

The Reddit user pointed out that while Google Search Central suggests no special files are required for AI visibility, Chrome documentation appears to imply that LLMs.txt could help AI agents better understand a website’s structure and content. This naturally raised questions about whether there was a contradiction between Google’s search guidance and its developer documentation.

However, a closer examination of the Chrome Lighthouse documentation reveals that the wording is more cautious than many people initially assume. Rather than claiming that LLMs.txt provides a proven benefit, the documentation describes it as an “emerging convention”. It also states that AI agents may spend more time crawling a site to understand its content if the file is not present.

The key word is “may”. This does not indicate a guaranteed improvement, but rather suggests a possible future benefit. In other words, the documentation presents LLMs.txt as a potential aid rather than an established requirement.

Part of the confusion stems from the fact that LLMs.txt is still only a proposal rather than a formally adopted web standard. While it has generated considerable discussion within the SEO and AI communities, there remains very little evidence that major AI systems actively depend on it today.

Mueller addressed the issue directly during the Reddit discussion. His response carried a degree of humour while also making a serious point about the practical value of the file.

He suggested that website owners should only invest time creating an LLMs.txt file if an AI platform that sends them customers specifically requests it. Until then, he implied that there may be little reason to prioritise it.

Mueller also highlighted what he sees as an obvious contradiction in the current enthusiasm surrounding LLMs.txt. Many website owners are using AI tools to analyse their websites and automatically generate an LLMs.txt file, despite the fact that the AI systems reading websites are often capable of performing the same analysis themselves.

His point was simple: if an AI can generate the file for a website owner, why would another AI need the file in order to understand the website?

The conversation continued when another participant suggested that LLMs.txt could still offer value by reducing crawling activity, lowering bandwidth consumption and creating a more efficient way for AI systems to access information.

While acknowledging the theory, Mueller responded that no one truly knows whether these benefits will materialise. He noted that LLMs.txt has existed for several years, yet very few AI systems actively use it. For him, this lack of adoption raises questions about its practical importance.

Instead, Mueller expressed greater interest in another emerging technology known as WebMCP.

WebMCP is a proposed web standard built around the Model Context Protocol (MCP). Unlike LLMs.txt, which focuses on helping AI systems understand website content, WebMCP is designed to help AI agents interact directly with website functionality.

This could allow AI systems to perform tasks that go beyond simply reading information. For example, an AI agent could compare products, calculate final prices, account for discounts and fees, add items to a shopping basket or complete forms directly on a website.

Support for WebMCP is already being introduced within Chrome, leading some industry observers to view it as a potentially more significant development than LLMs.txt.

Mueller suggested that WebMCP offers clearer objectives and practical use cases. Rather than simply helping AI systems understand content, it focuses on enabling them to complete specific actions in a structured and reliable way.

However, one of Mueller’s final observations may prove to be the most important takeaway for website owners.

He argued that before worrying about advanced AI optimisation techniques, publishers should first ensure that AI agents can actually access their websites.

According to Mueller, the most basic form of AI optimisation is simply avoiding the unnecessary blocking of legitimate AI crawlers and agents. If an AI system cannot access a website in the first place, discussions about LLMs.txt or WebMCP become largely irrelevant.

He also pointed out that today’s AI agents are already capable of navigating standard websites designed for human users. Even without specialised protocols, many AI systems can browse pages, click links and complete tasks using the existing HTML structure of a site.

This means that websites do not necessarily need advanced AI-specific implementations in order to remain accessible to modern AI tools.

For SEO professionals and website owners, the message is relatively clear. While LLMs.txt continues to attract attention, Google currently views it as an unproven and speculative technology rather than a critical ranking or visibility factor.

At the same time, emerging technologies such as WebMCP may ultimately offer more practical value by helping AI systems interact directly with websites and complete tasks more efficiently.

For now, website owners may be better served by focusing on strong technical SEO, ensuring their content remains accessible, maintaining clear site architecture and avoiding unnecessary restrictions on AI agents. As AI search and automation continue to evolve, these fundamentals are likely to remain far more important than adopting speculative standards before the industry has fully embraced them.