Search engines consider this content appropriate and want to make sure you do not steal content from someone else. This makes the arena extremely competitive for the retailer to have unique contents. In such a situation, to make the retailers more content efficient, Textual’s text robots can create new contents and versions for each product. On one end, the company’s value proposition is to deliver cost efficiency as compared to human labor—Textual’s robots can generate content in 15 languages simultaneously, and on the other end, the company provides search engine optimized contents. Textual’s algorithms learn to make variations of the text to improve the search ranking. Over time, the algorithms learn the best way to describe a product to get the best possible search ranking, which in turn improves the retailers’ lead acquisition in the search engine and gain new customers.

Textual’s technology is provided as a SaaS service connected to each client via API. Each time Textual associates with a client, it first connects to the product database to get the product data from the client. Based on that the company creates a vocabulary, specific for each client by setting a particular tone of voice and words that are used for a specific product segment; for instance, laptops and fashion. This process is performed iteratively with improvement over time. In case a client needs a new text for a product, they make an API call request to Textual for the specific product in a particular language. The newly generated text is then sent back via API to their content system, which could be an e-commerce platform. To ensure that the text generation is perfect, the company has a foundation of grammar and linguistic resources. “We are one of the few players in the market that covers most of the European languages,” claims Gemoll.

Utilizing the natural language around products, Textual write about a product’s actual features and not about the data picked from manufacturers. For this reason, the company is continuously enriching its database on product descriptions. Presently, Textual is focused on few product sections like clothes, furniture, and electronics, while also trying to extend its footprints in the automotive sector. “Irrespective of the vertical, we continuously strive to deliver a personalized experience to online retailers throughout their customer journey, and our technology makes that is a reality,” concludes Gemoll.