Product text
Descriptions are rewritten automatically. Each product gets its own text instead of the supplier copy that sits on dozens of other sites.
AI for content
We usually start with the catalogue: AI rewrites the product descriptions so every product has its own text. From there we add AI chats, agents that send email on their own, and automation for the tasks your team repeats every day. We work with any platform.
Why AI
Hundreds of descriptions that look alike. The same customer questions. Emails sent by hand. AI handles these tasks quickly and consistently, and your team works on what needs human judgement.
Examples
These are the most common tasks. If AI can take over something else for you, we build it the same way.
Helpful answers
Any platform we can access: CloudCart, Shopify, WooCommerce, Laravel websites and internal systems. The platform only decides how we read and write the data.
Text is the most common job on stores. We also implement AI chats and agents, for example to send email automatically, and automate other repeated tasks on projects.
Not when it is set up properly. We define the brand voice, the structure and the data for each product, and the result is checked on a sample before it runs on the whole catalogue.
Supplier copy sits on many sites at once. Your own text gives search engines a reason to show your page in particular. It does not guarantee rankings on its own, but it removes a common obstacle.
No. The source gives us the product information. The content in your store is written again, so it does not repeat the source or the neighbouring products. We agree on the source in advance, usually your supplier’s site.
Yes. Texts can be published automatically or go through a review by your team first. We decide together, based on the volume and how sensitive the content is.
Questions about products, delivery, services and anything else described on your website. We also set limits: which topics it should not answer, and when to hand the customer to a person on the team.
A task that repeats and can be described with clear rules. Most often that is sending an email when a set event happens, but it can also be handling requests or preparing data.
You get a clear direction for building the project and which practices to introduce, because we know the business, not only the technology.