AI content creation and editing for websites

AI content creation and editing for websites helps you work with large volumes of information arriving from CRM, ERP, BAS and PIM systems, supplier price lists or other corporate data sources. Technical, internal or poorly structured data becomes content that makes sense to users, search engines and marketing teams.

The solution brings the most value to online stores, product catalogues and the corporate websites of manufacturers and distributors, where thousands or tens of thousands of pages have to be kept current. It is especially relevant for companies that receive data directly from accounting systems or from suppliers and need it adapted for digital channels.

AI can be used to improve product and category names, generate short and detailed descriptions, structure specifications, build SEO attributes, prepare content for multilingual versions of a site and update existing material in bulk. Content preparation speeds up considerably without losing control over its quality.

We analyse the data structure, the sources of information and the current content processes, and from that build the rules for processing content and the automation scenarios. We account for the specifics of the product range, the requirements of the catalogue structure, brand standards and the needs of search optimisation.

We set up content enrichment, automatic description generation, name normalisation, translation and updates triggered by changes in external data sources. Where needed we integrate with accounting systems for regular content synchronisation.

We work with structured data processing, automatic text generation, information classification and bulk content updates. The emphasis is on improving data quality, making it easier to read and cutting the manual work of the content team.

Solutions can work with CMS, ERP, BAS and PIM systems, supplier catalogues, corporate knowledge bases and other sources of information. Content stays current and formatted to the same standards regardless of the volume of data.

As the project develops, automation can cover new product categories, language versions, content formats and data sources. Content production scales along with the catalogue and the company's digital assets.