Definition
llms.txt
llms.txt is a proposed standard file placed at the root of a website that provides structured information to large language models about the site's content, products, and preferred representation, similar to how robots.txt communicates with search engine crawlers.
llms.txt is a proposed standard for a text file placed at the root of a website (e.g., example.com/llms.txt) that provides structured information to large language models about the site's content, products, and services. The concept is analogous to robots.txt, which tells search engine crawlers how to interact with a site — but llms.txt is designed specifically for AI systems that generate answers about brands and products.
The file typically contains a structured summary of what the site offers, key facts the brand wants AI systems to know, and guidance on how the brand should be represented in AI-generated responses. While not yet a universally adopted standard, llms.txt has gained traction as brands seek ways to influence how AI systems describe them.
Why llms.txt Matters for Brands
AI systems pull information from many sources to generate answers, and they don't always get the facts right. A brand might be described inaccurately, have outdated information cited, or be omitted entirely from relevant recommendations. llms.txt gives brands a direct channel to communicate accurate, up-to-date information to the AI systems that are increasingly shaping consumer perception.
Implementing llms.txt is a low-effort, high-potential optimization. It takes minutes to create and deploy, yet it can influence how AI assistants across platforms represent your brand. As AI search grows, having a clear, machine-readable summary of your brand becomes a foundational element of AI visibility.
Related Terms
Further Reading
Related Terms
AI visibility refers to how frequently and prominently a brand, product, or website appears in AI-generated responses across platforms like ChatGPT, Perplexity, Google AI Overviews, and other AI assistants.
Generative Engine Optimization (GEO)Generative Engine Optimization (GEO) is the practice of optimising digital content and technical infrastructure so AI-powered search engines and assistants — including ChatGPT, Perplexity, Google AI Overviews, and Claude — cite, recommend, or reference a brand in their generated responses.
AI Commerce ReadinessAI Commerce Readiness is a measure of how likely AI assistants like ChatGPT, Perplexity, and Google AI Overviews are to recommend your products when users ask shopping-related questions. It scores your store on schema markup, crawlability, content quality, and entity consistency across the web.
AI SearchAI search refers to search experiences powered by large language models that generate synthesized answers to user queries instead of returning a list of links, including platforms like Perplexity, ChatGPT Search, and Google AI Overviews.