Marketing and content
AI content and social media
Posts from your own catalog, prepared in advance. You only approve them.
Running at fotobazos.cz
The problem
Regular content is the first thing to fall away when operations are busy. Writing, taking photos, planning, and replying across four networks is a full-time job - and generic AI text without knowledge of your assortment looks exactly like what it is.
Who it is for
- Online stores
- Local businesses
- Multichannel brands
- Marketing departments
How it works
Your catalog is the source of truth
The system reads your product feed, sitemap, and website API. It knows what you have in stock, what is new, and what is selling - and writes about that, not general topics.
Text, image, video
A product becomes a post, a graphic from your brand template, and a short video with a slideshow and captions. A second model rates the text and sends weak text back for rewriting.
Planning and publishing
Approved posts are scheduled and published. Successful ones are recycled after a while, and a weekly strategy suggests what to focus on next.
You decide
A new channel starts with you approving every post. It gains autonomy gradually - only once it becomes clear that you approve its suggestions without changes.
What you get
- Brand voice written from your existing texts
- Connection to your catalog, feeds, and social media
- Graphic and short-video templates
- Approval in Telegram
- Weekly strategy and monthly report
Running in production
Fotobazoš.cz
A system that runs beside the store, not inside it. It prepares posts from the catalog, creates products from one photo, watches comments, reviews, and inboxes, and suggests replies. The owner approves everything that goes out with one tap on her phone.
View the case study →Frequently asked questions
What if AI makes a mistake?
That is why AI suggests and a person decides. A new system starts in shadow mode: it sorts and suggests, but sends nothing. Then you approve each step with a single tap. Only what has proven itself in production can run on its own, and even then there is a log and a way to intervene. When facts are involved (prices, stock availability), a second step checks the output against the data source.
Do we need to change the systems we use for automation?
Usually not. We connect through what you already have: APIs, product feeds, exports, email or a shared folder. For example, marketing automation at Fotobazoš runs entirely outside their website. It reads the feed and sitemap, so nothing on the website needed to change.
How long does deployment take?
It depends on the scope. We start with a single automation that runs in shadow mode on your real data as soon as possible. That is the fastest way to find out whether it works. You get a specific timeline after the process analysis, rather than a rough guess.
Does it fit your operation?
Describe how you do it today. The process analysis is free and does not commit you to anything.