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How to choose AI for marketing? A writing test
Short answer
You choose AI for marketing by the editor's work on the result. A tool that writes fluent text quickly can stretch the offer, leave out conditions and add proof that does not exist. A comparison on the same brief ends with material ready for approval and the editing time, with no count of generated versions.
- net for implementation for a team of up to 10 people, paid once
- from €1,150
- from start to work of the entire team
- 2 weeks
- after this time, we measure the effect on the same tasks
- 30 days
- conversation with an engineer and a written plan within 2 business days
- €0
We belong to the OpenAI and Anthropic partner programmes and learn through their official courses. What this means ↓
Author: Syntalith · 3 min read
Statistics
Marketing and AI: statistics 2026
0.9 mo.
payback of a €1,150 training day for 6 people saving 1.5 hours a week each: €1,360 of time recovered against €107 of licences a month. Scenario.
40%
According to a study published in Science (2023), ChatGPT cut the time 453 professionals spent on writing tasks by 40%.
Source: Noy and Zhang, Science (2023) ↗
34.7%
According to Eurostat (2025), 34.7% of EU companies that use AI apply it to marketing or sales.
25.1%
According to a Harvard Business School study (2023) of 758 consultants, tasks within the model's capabilities went 25.1% faster with AI.
15.1%
According to Eurostat (2025), 15.1% of people aged 16 to 74 in the EU used generative AI tools for work.
Figures checked: 22 October 2026
- The scope of the offer with nothing added
- Conditions and reservations kept
- Proof and figures only from sources
- The editor's time to a version for approval
The same brief for every tool
Prepare an approved description of the service, a reader's question and the publishing channel. Add examples of the brand's language and the information the text must never promise. In both tools, use the same sources and a similar scope of prompt. Record the date, the model and the settings, so a later result has a point of reference.
In a fictional brief, the service covers a workshop for one group. Support after the sessions needs a separate agreement. A draft that offers participants open-ended consultations contains an error in the offer, even if it sounds good. The editor should catch it before judging the style.
What to assess beyond how it sounds
| Area | Question for the editor |
|---|---|
| Scope | Does the description match what can be bought? |
| Proof | Does the claim have a real basis? |
| Reader | Does the text answer their question? |
| Correction | How much work was left to an approved version? |
Keep the first draft and the corrections. A note saying „the text needed 12 minutes” is more useful if you know whether the author fixed the tone or removed an untrue promise. Repeat the trial on other material, for example a short email and an offer page. One good text does not settle the choice for a whole department.
A content tool does not guarantee AI citations
Google names the ordinary basics of SEO for AI Overviews and AI Mode too. Important information should be available in the text, and structured data should match the visible content. There is no extra markup that ensures a citation. Google documentation, checked on 9 October 2026.
So in the editorial test, check for a clear answer, the current offer and the sources. Measure brand visibility separately. A writing test result does not confirm that a search engine's model will recommend the company.
How do you make the purchase decision?
If two tools give comparable results, check how conveniently material reaches the editor, access to files and account management. An extra subscription should meet a specific need. With a small number of texts, a better brief may bring more than a change of product.
This guide proposes a trial, with no published ranking of models. Syntalith can agree AI training for marketing with work on the brief, sources and corrections. Syntalith prices: an automation, app or agent from €3,000 net, training from €1,150 net a day (pricing). If the problem is passing versions between tools, see small marketing automations. That is a separate decision from choosing a writing tool.
What it costs
- Time saved
- 6 people × 1.5 h a week × 4.33 = 39.0 h
- Value of that time
- €1,360
- Licences
- $120 (€107)
- Left after licences
- €1,253 a month
Payback of a €1,150 training day
0.9 months
The hours saved are the scenario's assumption, which we check by timing tasks before the training and after 30 days. €34.90 an hour is the EU average hourly labour cost for 2025 according to Eurostat. Claude Team seats at $20 per person a month, at the ECB rate of 1.1205 USD per euro on 22 October 2026.
- The time of the task before the training and after 30 days
- The corrections made by the person checking the result
- Tasks where a participant still needs help
- Licences and tools cleared for work
Where to start
We run the workshop as part of team training, from €1,150 net a day. For the free review, a description of one task the team does every week and the tools it uses is enough. You receive the written training programme within 2 working days.
„I already use AI.”
Your people too. Just no rules.
From our conversations with companies
5 na 10 employees paste sensitive data into private AI accounts: contracts, invoices, customer data.
In ESET survey (2026)
1 na 10 admits this in the survey.
Customer data pasted into a private AI account without an data processing agreement is a violation of the GDPR.
Don't worry, we won't tell anyone :)
What do we see in companies that "already use"
- Only ChatGPT or Claude accounts, without plugins, skills, integrations and MCP servers with company tools.
- Company programs are not connected to AI. People still click through systems and Excel, and enter chat data manually.
- Lack of company standards: everyone writes instructions in their own way, no one shares what works.
- No rules for personal data, GDPR and company secrets.
- No limits and no visibility: no one knows who uses AI, how much and for what.
62% Polish employees use AI at work · 27% companies have written rules for working with AI.
Source: ESET and DAGMA, Cyberportrait of Polish business 2026 (March 2026, 1,026 people) ↗
ChatGPT or Claude space review
Accounts, permissions, rules for working with data and 5 tasks set for the team. 1 day.
€450 net
Company accounts, rules of working with data and team training in 2 weeks, from €1,150 net.View implementation for the team →
„Is my data safe?”
Yes. You choose where they go: from your company account to the model on your server.
00Employee's private account
Customer and company data ends up in an account that the company cannot see or control. There is no data processing agreement, so it is a violation of the GDPR. When an employee leaves, the chat history goes with them.
01ChatGPT or Claude corporate account
The provider does not use your data to train models. A copy of the queries remains in his logs for up to 30 days.
02API with zero retention (ZDR)
The provider processes the request and does not save anything. It requires his consent, we prepare the application together.
03Processing in the EU
Queries are counted and stored in Europe: OpenAI in the EU region, Claude via clouds with the EU region.
04Model at your place
The open model runs on your server or in your cloud in the EU. The data does not go outside the company.
What we do with every implementation
- Confidentiality agreement and data processing agreement before we receive any data.
- You choose the cases for the prototype and we anonymize them upon request.
- The data stays in the EU and we delete it after the test.
- Corporate accounts with an administrator on your side.
When data cannot leave the company
The open model runs on your server or in your cloud in the EU. To choose from:
- White-tailed eagle
- Polish model, SpeakLeash and ACK Cyfronet AGH
- PLLUM
- Polish model, HIVE consortium commissioned by the Ministry of Digitization
- Qwen
- Alibaba
- GLM
- Zhipu AI
- DeepSeek
- DeepSeek
We select a model for the task and check it on your cases. We run it, tune it and maintain it.
Source: Bielik and PLLuM, ACK Cyfronet AGH ↗ · PLLuM, Ministry of Digitization ↗
Do you have a lot of your own data? We will fine-tune the small model.
- 1 Your examples
- 2 tuning
- 3 test on new cases
- 4 model at your place
When you have thousands of similar emails, documents or reports, we teach a small open model based on your examples. It works for you, responds quickly and costs less to maintain than a large model. We measure quality on issues that the model has not seen while learning.
Przemysław and Piotr did it in large programming and consulting companies. Artem did it before and does it today at Syntalith. It's about models on your own infrastructure, tuning and quality measurement.
You choose the protection level during the interview. We sign the data processing agreement before we see any data.Schedule a free analysis →
Price
Three packages. You know the price right away.
Team of up to 10 people
from €1,150
net, paid once · 2 weeks
Company, from 11 to 40 people
from €2,300
net, paid once · 3–4 weeks
Organization, over 40 people
from €4,600
net, paid once · 6–8 weeks
- The same packages once you have licenses. To start, an inspection of the space in 1 day is enough: €450 net.
- You buy Claude Team licenses directly from Anthropic, without our markup: USD 20 per person per month for annual payment or USD 25 for monthly payment, from 2 to 150 people.
From conversation to measurement
01 · 30 min
Free process review€0
An engineer picks 3 to 5 of your team's tasks with you. Written plan within 2 working days.
02 · 2 weeks
Rolloutfrom €1,150
Accounts and roles, rules for working with data, training on your team's tasks. You buy licences directly from the provider.
03 · after 30 days
Measurementincluded
We compare task times before and after. We name in writing the tasks worth handing to a system.
or call+48 888 78 48 78WhatsAppMon–Fri 9:00–17:00 CET
Worked example · Scenario
How we count the payback: a marketing team
We run the same count for your team in the free review.
€2,094
a month for preparing 30 campaign reports
Payback: 1.7 mo.
2 hours to collect the data and prepare a campaign report and checking in 15% of the old time are our assumptions. €34.90 an hour is the EU average hourly labour cost for 2025 according to Eurostat, for companies with 10 or more employees. Model cost: checking the commentary in our reporting system (about €0.0002) plus compiling the data (Claude Sonnet 5.5, about 30,000 + 2,000 tokens), at the ECB rate of 1.1205 USD per euro on 22 October 2026.
See the full calculation →Questions
How do you choose AI for marketing?
With an editorial test: the same brief for every tool, an assessment of fit with the offer, the conditions and the proof, and the editor's time to a version ready for approval.
Will a content tool get you cited by AI?
No. Search engines with AI cite pages by their own rules, and a writing tool has no influence on that.
How much does this training cost?
At Syntalith, from €1,150 net for a workshop day for the team. Claude Team seats cost $20 per person a month. With 6 people and 1.5 hours a week each, the payback is 0.9 months.
