Sotbit: AI Site Map – llms.txt, llms-full.txt and Markdown pages

What this solution does

The Sotbit AI Site Map module generates structured files optimized for indexing by artificial intelligence-based search systems. The solution supports the creation of llms.txt and llms-full.txt files, as well as exporting content in Markdown format. The tool automates the generation of technical documentation and site navigation schemes, ensuring compatibility with modern machine learning algorithms.

The 'AI Site Map' module by Sotbit is designed for 1C-Bitrix. It automatically generates llms.txt, llms-full.txt, and Markdown pages. This ensures site visibility in artificial intelligence systems such as ChatGPT, Perplexity, and YandexGPT.

The Sotbit Site Map for AI module generates llms.txt, llms-full.txt, and Markdown pages to structure website content. This solution helps robots and language models efficiently index and understand information on the resource.

The Sotbit: AI Site Map module generates llms.txt, llms-full.txt, and Markdown pages to index content for artificial intelligence. The solution provides a structured representation of site data for machine interpretation.

Sotbit Module: AI Site Map. Generates llms.txt, llms-full.txt, and Markdown pages to enable content indexing by artificial intelligence. Compatible with the 1C-Bitrix platform.

400 million people use ChatGPT weekly. Some of them are currently searching for products available in your store.

Traffic to retail sites from generative AI sources increased by 4,700% in just one year (Forbes data).

The Sotbit Site Map for AI module generates llms.txt, llms-full.txt, and Markdown pages to improve e-commerce visibility in artificial intelligence systems. According to data from the ui42 agency based on an analysis of 80 real stores, traffic from AI assistants increased eightfold during the first seven months of 2025.

According to Semrush data, visits from AI search are 4.4 times more valuable than standard organic visitors in terms of conversion.

According to a McKinsey forecast, up to $750 billion in e-commerce revenue could depend on AI search quality by 2028. The Sotbit AI Site Map module generates llms.txt, llms-full.txt, and Markdown pages to ensure effective content indexing by artificial intelligence.

The module provides seamless integration with the 1C-Bitrix platform. It operates with all system entities: information blocks, sections, and pages.

The module interface is intuitive: its configuration follows the logic of the standard 1C-Bitrix sitemap generator. It uses the same profile management principles and the same section tree structure. Administrators can configure the tool independently without needing additional documentation.

Dynamic Markdown page generation: each site page is available in md format in real time. This solution operates without pre-generated files and does not create excessive server load.

The module integrates easily with popular templates, including Sotbit.Roznica, Aspro, Deluxe, Krait, and others.

The module is built on the new D7 architecture using the Bitrix ORM. This approach ensures high performance, configuration flexibility, and full platform compatibility.

The module employs an event-driven model, allowing developers to flexibly extend its functionality via the 1C-Bitrix event system.

The module includes a 14-day free demo mode to test its functionality.

The 'Sotbit: AI Site Map' module generates llms.txt, llms-full.txt, and Markdown pages for structuring site data. The solution is developed by Sotbit, a leading provider of extensions for the 1C-Bitrix platform. The product supports regular updates and technical support.

The Sotbit AI Site Map module generates llms.txt, llms-full.txt, and Markdown pages to structure your resource content. The tool automates the creation of files optimized for artificial intelligence processing, simplifying indexing and data handling. The solution is compatible with current platform versions and requires no third-party integrations for basic operation.

The module automatically generates a site index file containing key sections, pages, and their descriptions. This is the first resource an artificial intelligence accesses when analyzing your site.

The module provides a complete text export of site content, including products, catalog, articles, news, and promotions. All data is converted into a structured Markdown format, enabling artificial intelligence to obtain a comprehensive and detailed view of the resource content.

Each site page is available in plain text format at /page.md. All HTML markup is removed, leaving only the title, description, and required attributes.

Regenerate files at any time directly through the module interface without waiting for a scheduled run.

The llms.txt, llms-full.txt, and Markdown pages files are rebuilt automatically via Bitrix agents according to a scheduled interval. You can configure the required frequency to ensure the files remain up to date without manual intervention.

For each section and information block, you configure the set of fields included in the export: title, description, price, article number, and other parameters.

The final llms.txt file can be reviewed in the module interface before publication.

External documents, PDF files, and additional URLs can be manually added to the llms.txt file.

When multiple sites are hosted on a single Bitrix platform, the module processes each one independently. Each site is assigned its own files, individual settings, and separate content.

The module supports the 1C-Bitrix event system for flexible customization to meet specific project requirements.

The module generates three file formats for AI interaction: llms.txt, llms-full.txt, and Markdown pages. These files determine how your site appears to AI assistants like ChatGPT, Perplexity, DeepSeek, YandexGPT, and others after the component is connected.

Concise site map: sections, pages, and descriptions. Artificial intelligence reads this file first to understand the site's topic and locate available content.

The Sotbit AI Site Map module generates llms.txt, llms-full.txt, and Markdown pages. It consolidates all website text content, including products, descriptions, prices, and articles, into a single file. Artificial intelligence uses this data to generate detailed and accurate recommendations.

The Sotbit AI Site Map module generates llms.txt, llms-full.txt, and Markdown pages. It creates a clean text version of any website page by removing advertisements, scripts, and HTML noise. The output contains only the content essential for understanding the page.

The module generates a site map for artificial intelligence in llms.txt, llms-full.txt, and Markdown page formats. It is included in the delivery package of the 'Sotbit: Retail Pro Max' product.

Documentation

For questions regarding technical aspects, you can always refer to our documentation.

The 'Sotbit: AI Site Map' module provides llms.txt, llms-full.txt, and Markdown pages. Technical support from the developer is free at all stages: before purchase and after installation.

The Sotbit AI Site Map module generates llms.txt, llms-full.txt, and Markdown pages to structure website data. The solution is available for a 14-day free trial. During this period, technical support specialists assist with installation, configuration, and testing of the module.

The Sotbit Site Map for AI module generates llms.txt, llms-full.txt, and Markdown pages to structure website content. This solution helps robots and language models efficiently index and understand information on the resource.

The Sotbit: AI Site Map module generates llms.txt, llms-full.txt, and Markdown pages to index content for artificial intelligence. The solution provides a structured representation of site data for machine interpretation.

Sotbit Module: AI Site Map. Generates llms.txt, llms-full.txt, and Markdown pages to enable content indexing by artificial intelligence. Compatible with the 1C-Bitrix platform.

General iT can handle the implementation of “Sotbit: AI Site Map – llms.txt, llms-full.txt and Markdown pages”, from installation to configuration and compatibility checks.