See how this Canada-based goaltending retailer uses WooCommerce POS to streamline operations and boost retail efficiency.
Rigato is an Italian confectionery brand specializing in the production and wholesale of sweets for shops, exhibitions, and local events.
The journey began with a small workshop and stall where Armando Rigato and his wife Rosanna sold handmade nougat and sugared almonds at fairs in Northeast Italy.

Over time, the brand expanded its reach and, in 2014, launched its online store to serve a broader customer base.
Today, Rigato offers a wide assortment of confectionery products designed to meet diverse customer needs across retail and event markets.
Rigato decided to improve its online store content for AI to increase online reach and enhance customer experience.
To achieve this, Rigato partnered with a trusted Magento Development Company to implement an AI-focused content solution.
Rigato faced limitations in making its Magento 2 store content easily readable by modern AI systems.
Product pages, categories, and CMS content were not structured in a way that AI platforms could consistently access and interpret.
Without a centralized AI-readable file, maintaining an updated and structured store information required additional manual effort.
The team needed a reliable way to present accurate company and product data to AI-driven platforms.
These challenges affected the brand’s ability to expand digital visibility and maintain structured online information.
This case study explains how Rigato addressed these concerns using Webkul’s E-commerce Solutions.
LLMs TXT Generator for Magento 2 helped Rigato create an llms.txt file, making its store content accessible to AI platforms like ChatGPT, Gemini, and Claude.
The admin panel allowed Rigato’s team to choose which elements — including products, categories, and CMS pages — would be included in the file.

They could also insert the company name, business description, and additional notes to provide better context for AI processing.
The extension supported scheduled file generation at selected intervals, such as daily or weekly updates.
Admins could define the exact time for automatic generation by setting specific hours, minutes, and seconds.

A built-in status display confirmed whether the llms.txt file was current.
This setup helped Rigato maintain structured, updated, and AI-accessible store information across its Magento platform.
With Magento 2 LLMs TXT Generator, Rigato made its online store content easier for AI systems to access and interpret.
AI platforms could retrieve updated information about products, categories, and CMS pages more accurately.
The admin team gained control over content selection, contextual additions, and automated scheduling.
This reduced manual effort while keeping the store content organized and AI-ready.
As a result, Rigato strengthened its digital presence and ensured consistent content visibility across AI-driven platforms using Magento 2 Extensions.
See how this Canada-based goaltending retailer uses WooCommerce POS to streamline operations and boost retail efficiency.
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