SEO & GEO Optimizer: meta tags, page analysis, llms.txt for neural networks

What this solution does

The SEO & GEO Optimizer module by KeyClient is designed for 1C-Bitrix. It provides search engine optimization and content preparation for neural networks. The administrative panel displays a page quality assessment using a traffic light principle. The tool allows managing meta tags based on templates and generating an llms.txt file for artificial intelligence. The solution operates without a programmer and without connecting external SEO services.

SEO configuration in Bitrix is fragmented: meta tags are edited individually, there is no visual assessment of page quality, and checking text optimization requires experience or third-party tools. With the advent of neural networks, a new task has emerged to make sites understandable for AI, including ChatGPT, Perplexity, and Yandex Neuro. The module addresses both tasks within a single tool.

Meta tag management

The module adds an "SEO & GEO" tab to element and section infoblock cards, as well as to the classic product editing form. Available fields include Title, Description, H1, target keyword, canonical, robots, and OpenGraph. Meta tag templates support placeholders (#NAME#, #SECTION_NAME#, #PROPERTY_CODE#, #PRICE#, #BRAND#, etc.), enabling bulk population of the entire infoblock using a single template in one step-by-step pass without timeouts. Meta tags are rendered in the page head via the standard Bitrix mechanism without modifying site templates, ensuring compatibility with composite mode.

SEO Analyzer with Traffic Light

The tool provides a visual page assessment on a red-yellow-green scale with specific recommendations in plain language. Analysis covers the length and presence of the target keyword in Title, Description, and H1, keyword density in the text, content volume, existence of alt attributes on images, internal linking structure, and readability adapted for the Russian language. Analyzer thresholds are configurable. The snippet preview shows how the page will appear in search results, featuring live field length counters.

GEO: Site map for neural networks (llms.txt)

The module automatically generates the /llms.txt file according to the llmstxt.org specification, providing neural networks with structured information about key site sections. An optional extended file /llms-full.txt is also available. Features include scheduled automatic updates, on-demand generation via button, and multi-site support. This ensures that products and services are correctly reflected in AI-powered search engine responses.

For online stores

The tool enables mass filling of meta tags across the entire catalog in minutes using unified templates for products and sections. Card quality control is performed via a visual "traffic light" indicator.

For service and corporate websites

The module allows SEO configuration of articles and pages without involving a programmer, offering clear suggestions on how to improve page content.

Integration specifics

The solution operates as an add-on to the standard "1C-Bitrix" SEO module. Values entered in the "SEO & GEO" tab are synchronized with standard fields and displayed on the site without data duplication. Upon installation, existing site settings are preserved, eliminating the need to re-enter meta tags.

Capabilities

A new "SEO & GEO" tab has been added to the element and section infoblock cards, as well as to the classic product form. Users can manage Title, Description, H1, keyword, canonical, robots, and OpenGraph parameters.

The SEO & GEO Optimizer module by Key to Client extends 1C-Bitrix functionality for meta tag management, page analysis, and generation of files for neural networks.

Meta tag templates with placeholders for name, section, properties, price, brand, year, and other parameters are available. Mass meta tag filling for information blocks is implemented in a step-by-step mode without timeouts. The built-in SEO analyzer operates on a traffic light principle, providing recommendations with explanations of their importance. A search result snippet preview and live field length counters are provided for convenience. Readability analysis is specifically adapted for the Russian language.

The module generates llms.txt and llms-full.txt files for neural networks, supporting their automatic scheduled updates. The system supports multisite and composite site architectures. Administrators can configure analyzer thresholds and manage access rights by user groups. A setup wizard launches after installation. The interface is available in Russian and English.

For products in the new catalog card, SEO fields are edited via the module page in the Overview and Mass Filling sections. Catalog management functions are available in Small Business editions and higher. The product is compatible with Start, Standard, Small Business, Expert, and Business editions. A minimum version of the Main (main) module 20.0.0 and current versions of 1C-Bitrix are required. PHP 8.x and MySQL are required for operation.

The module enables output of OpenGraph tags for social networks. This optional feature is activated by connecting a ready-made component to the detailed page template; setup instructions are included with the module.

Installation and configuration are performed via the administrative panel without modifying the site's source code or templates. No special qualifications are required to install the module.

All functions operate locally on the site. No connection or payment of third-party paid services is required.

The module's source code is open and not obfuscated.

Technical support is provided by the developer. The purchase includes a one-year license with access to updates and support. After the license expires, the module continues to function; renewal is required to receive further updates and support.

General iT can install and configure this module and check how it works on your website.