What this solution does
The module supports GEO (Generative Engine Optimization) practices, preparing websites for generative AI responses and AI search. It generates a curated llms.txt file according to the official specification to ensure key site sections are described concisely and structurally.
The llms.txt specification helps LLMs and AI agents quickly understand site structure by identifying catalogs, services, delivery, contacts, articles, and other key sections. Unlike sitemap.xml, which typically lists all URLs indiscriminately, llms.txt provides a curated list of important pages with brief explanations.
For beginners, the module offers detailed documentation, multisite support (separate settings and generation for each site in the system), operation in AUTO and Manual modes (for fine-tuning), and a preview feature before publishing.
Advanced users benefit from flexible structural configuration via content mapping by sections (e.g., catalog sections → "Catalog", products → "Optional") and advanced link filtering: include/exclude rules (masks, regex, parameters), "blacklist" management, normalization, and duplicate removal.
The module controls the size of the llms.txt file using overall limits and restrictions for individual sections and elements to keep the document compact. Optional link validation checks for HTTP 200 status, canonical URLs, and noindex tags. A preview mode is available before publishing.
Important: This tool does not replace sitemap.xml or robots.txt and makes no claims of improving search rankings. Its purpose is to structure key links for AI agents; the outcome depends on how specific AI systems interpret the llms.txt format.
General iT can install and configure this module and check how it works on your website.