Google Indexing API for Magento 2
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Kowal Search Optimizer is a Magento 2 module that improves the quality, relevance, and predictability of product search in an online store. The extension was designed for stores where customers search for products not only by name, but also by SKU, EAN, brand, phrase fragment, common product name, or a typo.
The module does not replace the native Magento search mechanism. Its purpose is to intelligently extend the way queries are built for OpenSearch, so the most important products appear higher in the results and customers can reach the right product page faster.
Standard Magento search is often not enough for stores with large product catalogs, technical catalogs, or products with similar names. A customer may enter a product code, EAN, manufacturer name, abbreviation, common name, or a phrase with a typo — and still expect relevant results.
Kowal Search Optimizer helps solve common problems:
The module was designed to improve result quality without interfering with Magento’s standard catalog rules, such as product visibility, status, store, website, or stock.
The module lets you assign different levels of importance to different product fields in the search engine. A match in the product name can have a greater impact on the result than a match in a long description, while SKU and EAN can be treated as the highest-priority fields.
The first version includes weight configuration for, among others:
One of the module’s key features is prioritizing exact matches by product identifiers. If a customer enters an SKU or EAN, the correct product should appear high in the results instead of being outranked by products that only happen to match in the description.
The match priority in the module follows this order:
The module makes it possible to use controlled fuzzy search, meaning search that is tolerant of minor typos. This allows a customer who enters an incorrect brand or product name to still see meaningful results.
Fuzzy search is configurable so it does not reduce result relevance through overly aggressive matching.
Kowal Search Optimizer adds a lightweight autocomplete popup that shows customers suggestions while they are typing a phrase. In the first version, the popup:
This allows customers to go directly to the product or to the full list of results faster.
The module allows basic synonyms to be added manually from the Magento configuration. The administrator can define pairs or groups of phrases that should be treated as related, for example:
television, tv
bathroom sink faucet, faucet for bathroom sink
wc, toilet
In the first version, synonyms are global, entered manually, and approved manually. Advanced AI suggestions and a synonym approval workflow are planned as a possible extension after version v1.
The module saves phrases that returned no products. This allows the administrator to check what customers are actually searching for and, based on that:
A simple read-only grid is planned in the admin panel, with a list of phrases without results, filtering by date, store, and phrase, and sorting by date.
The module was designed with store stability in mind. If an error occurs in the search extension layer, search should return to native Magento behavior or at least not cause a 500 error on the storefront.
This is especially important for production stores, where the search engine is one of the key elements of the shopping path.
Kowal Search Optimizer is especially useful for Magento 2 stores that:
The module is a good solution for B2C and B2B stores where customers often know what they are looking for, but enter the product in different ways.
Better ranking, SKU/EAN support, typo handling, and autocomplete shorten the path from entering a phrase to opening a product page.
Thanks to fuzzy search, synonyms, and analysis of phrases with no results, the store can systematically reduce the number of searches that end with no results.
The administrator can change field weights, fuzzy settings, synonyms, and logging without modifying the code each time.
The module includes the assumption of fallback to native Magento search and the option to disable it from the configuration.
Phrases with no results show the real language customers use. This is a practical data source for improving names, descriptions, synonyms, and the store offer.
The HiFiStation.pl store, offering hi-fi equipment, home theater systems, headphones, and audio accessories, implemented the Kowal Search Optimizer module to improve product search quality in Magento 2.
The biggest challenge was a specialized catalog where customers search for products by brand names, models, SKUs, EANs, and partial technical markings. The module improved result ranking, strengthened exact matches for identifiers, added autocomplete, and enabled analysis of search phrases with no results.
With the implementation, the store gained a more predictable and convenient search experience, better aligned with the real behavior of audio industry customers.