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Proposed file format offering a structured summary of a site's content to optimize its understanding by LLMs.
llms.txt is an emerging file format designed specifically for language models. Placed at the root of a site (like robots.txt), it provides a structured and contextualized summary of the site's content, helping LLMs better understand its purpose, main sections, and expertise. This file can include product descriptions, structured FAQs, and semantic metadata to improve visibility in AI responses.
Qwairy supports llms.txt implementation as part of our technical GEO optimization. We help you create and maintain llms.txt files that provide LLMs with structured, contextual information about your brand, products, and content to maximize AI comprehension.
Text file placed at the root of a website to indicate to indexing robots which pages to explore or avoid.
Artificial intelligence model trained on vast amounts of text to understand and generate natural language.
Strategies used to optimize a brand's presence in AI responses.
Standardized markup format (Schema.org, JSON-LD) that helps machines understand the content of a web page.
Sessions from real users who clicked a brand's link in an AI response on ChatGPT, Perplexity, or another AI platform.
Share of all brand visibility in a category, counting every entity AI platforms mention, not just a tracked competitor set.