AI content and marketing tools

AI can speed up work on content, but on its own it solves neither quality nor factual accuracy. We build AI content tools and processes that work with your data and guidelines, and human control stays where it is needed.

Where AI can help with content work

Product descriptions
Product data can be turned into structured draft descriptions that follow a single set of guidelines. Particularly useful for catalogues where a lot of similar information has to be processed.
Marketing copy
For campaigns, emails and social media content, AI can prepare options and drafts that follow your brand guidelines, leaving the final choice and the editing to a person.
Personalisation
From one body of content and data, versions can be produced for different customer segments while keeping the shared message and the limits you set.
Multilingual content
AI can help prepare versions of the same content in several languages. For public and important content we also plan an editorial review and do not rely on machine translation alone.
Content updates
A tool can compare existing content with current data, point out possible discrepancies and prepare draft changes for review.

An AI tool is not enough on its own

A language model can write a text, but a business usually needs a repeatable process. We define where the tool gets its facts from, which guidelines it follows, what may be generated automatically and what a person has to check before publication. Where needed, we connect this process to your online store, CMS, CRM or the other systems you use.

This matters most when there is a lot of content. Automation must not turn one error into hundreds of published texts. That is why the solution includes data sources, validation and quality control in proportion to the risk of the content concerned.

Let's build an AI content process you can control

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How implementation works

Defining the content requirements

We set the tone, the terminology, the information that must be included, the restrictions and the cases in which human review is required.

Sources of data and facts

We define where the solution gets its product, service and company information from, and how that data is passed on for content creation.

Building the content process

We set up the steps from input data to draft, review and publication. We automate only what it is justified to automate in that process.

Integration and roll-out

Where needed, we connect the solution to your platforms, test it in practice and prepare your team for day-to-day work with it.

Which content task do you repeat most often?

A repeatable process is a good starting point for an assessment. Show us how the work is done today - we will assess where AI can help, what data it needs and where human control has to stay.

Frequently asked questions

Will Google penalise AI content?
Using AI does not in itself guarantee better or worse visibility in search. What matters is the quality, accuracy and value of the content for the user. That is why we use AI as part of a process, not as a reason to publish large amounts of unchecked content.
Can AI write well in Latvian?
Today's language models can prepare good draft texts in Latvian, but the quality depends on the task, the input data and the guidelines. For important public content we plan an editorial review.
How much of the work on AI content can be automated?
That depends on the type of content, the quality of the data and the review required. Structured and repeatable tasks can usually be automated further than content that needs an original idea, legal precision or careful editorial judgement. We assess this before the process is introduced.
Can AI write product descriptions for an online store?

Yes, it is one of the most practical uses. We create the descriptions from your product data and guidelines, check facts such as dimensions and materials, and include a human review before publishing. That makes it possible to handle large catalogues in several languages.

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