BUSSOL Neuro — neural networks and smart search

What this solution does

BUSSOL Neuro 2 is an intelligent module for 1C-Bitrix that enhances smart search, content generation, and SEO optimization capabilities. Unlike standard text generators, this solution operates on search data and analytics. The module analyzes real visitor queries, identifies queries with no results, and suggests correction options. The system verifies the expected effect of changes before applying them, creates an AI dictionary for internal search, generates content and SEO data in bulk, maintains a change history, and allows safe rollback of AI generation results.

Supported providers: GigaChat, DeepSeek, OpenRouter, and other OpenAI-compatible APIs.

The problem of mismatched queries and product names

A product may be registered in the catalog as Smartphone Apple iPhone 16 Pro. However, visitors enter queries in different formats: ayfon 16pro, iphone16 pro, epl 16 pro, ayfon shestnadtsat. Standard search does not always correctly link these variations to the required products.

Shoppers often receive empty search results even when the desired product exists in the catalog. BUSSOL Neuro 2 automatically detects such situations and improves search based on actual visitor behavior.

Search Query Analytics

The module analyzes real user search queries, identifies queries with zero results, and finds those with too few results. The system displays the frequency of problematic queries, stores a history of search issues, and allows rechecking results after search rules are modified.

AI Recommendations

For a problematic query, the system analyzes it, finds suitable options within real catalog data, and suggests a synonym or alternative spelling. The module performs a test search, shows the expected outcome, and proposes that the administrator apply the rule.

For example:

Query: ayfon 16pro

Current number of items: 0

AI recommendation: iPhone 16 Pro

Number of items after correction: 42

The administrator immediately sees exactly what change will be made and what effect it will have. The system does not apply changes blindly.

A key feature of BUSSOL Neuro 2 is the pre-application verification of recommendations. The artificial intelligence generates candidates exclusively from the real catalog: products, sections, properties, list values, HL directories, and the existing AI dictionary. The module excludes the use of randomly generated values. Before a recommendation is formed, a control search is performed. If the new option does not improve the result, the recommendation is not considered useful.

Post-reindexing result control

After applying a search rule, the problem is not automatically considered fixed. The workflow includes a sequential check of the effectiveness of the changes.

For the “BUSSOL Neuro — neural networks and smart search” module, General iT can perform installation, configuration and a functional check in your project.