What can AI do for a marketing agency?
At a marketing agency, AI takes over the groundwork that comes back with every client: first versions of copy, draft reports, organizing briefs and status updates. Strategy, creative work and the conversation with the client stay with your team.
There are two ways to do this. Your team uses an AI assistant such as ChatGPT or Claude per task. Or you have an AI agent set up per client: a digital worker that knows that client's brand guide and delivers drafts within fixed agreements. What that is, is explained in what is an AI agent.
Which agency tasks can you do with AI?
Four agency tasks suit AI well, because they come back in the same form with every client.
| Task | What the AI does | Which data is needed | Where the team checks |
|---|---|---|---|
| Content per client | Writes drafts for posts, articles, newsletters and ads | Brand guide, example copy, brief | Review and final edit before publishing |
| Reports | Turns campaign data into a draft report with commentary | Export from your ad and analytics platforms | Figures, conclusions and recommendations |
| Briefs | Turns a loose brief into a fixed format | The client's email, document or notes | Asking the client for missing points |
| Status updates | Answers questions about planning and progress | Your project planning | What goes to the client |
Content per client
The bottleneck in content for multiple clients is that each client has its own tone, audience and channel choice. If you supply the brand guide and previously published copy, the AI writes drafts in that tone: social posts, a blog article based on a brief, a newsletter, ad copy in several variants and meta descriptions.
The team reads every text and adjusts it. Check facts, product names and claims about the client, because an AI model can fill in details that sound plausible and are still wrong. A step-by-step approach is in implementing AI in your marketing workflow.
Reports
For a monthly report you supply the export from your ad and analytics platforms. The AI organizes the figures, describes differences with the previous period and writes a draft in language the client understands.
The account manager checks that the figures in the report match the source and writes the conclusions and recommendations personally. That part takes knowledge of the client and the market.
Briefs
Clients deliver briefs as a document, as a loose email or as a voice message. The AI turns each brief into your fixed format: audience, key message, channels, deadline, budget, tone and requested deliverables. Fields the client has not filled in stay empty, so you see what you still need to ask.
Status updates
An AI agent with access to your project planning answers questions such as "when is the next post scheduled" and confirms deadlines. You decide whether the agent only works internally or also in the channel where you communicate with the client.
How do you have AI write in a client's tone of voice?
You have AI write in a client's tone by supplying a fixed context per client: the brand guide, five to ten good example texts and a description of the audience. Without that context a model writes in a general tone.
Record that context once per client, so your team reuses it with every instruction. With each instruction, also give the channel, the goal and the desired length. How to build such an instruction is covered in what is a prompt.
Keep client contexts separate. A separate workspace per client prevents the tone or information of one client from ending up in copy for another.
What should you watch out for with client data and confidentiality?
For client data, your contract with the client and the GDPR apply. Check both before you enter a client's data into an AI tool.
- Contract. See whether your agreement or confidentiality clause says anything about sharing information with third parties, and discuss AI use with the client if that is unclear.
- Personal data. Mailing lists, customer segments and lead data are personal data. If an AI provider processes them for you, you sign a data processing agreement (Article 28 GDPR).
- Training setting. Check in the terms of your subscription whether your input is used to train models. That differs per provider and per subscription.
- Agreements in the team. Record which tools are allowed and which data may go in.
The background and the article numbers are in using AI in a GDPR-proof way.
Do you have to label AI content under the EU AI Act?
For part of AI content, a transparency obligation from Article 50 of the EU AI Act has applied since 2 August 2026. The European Commission describes two situations for organizations that deploy AI:
- Deepfakes. Image, audio or video content that is generated or edited with AI, resembles existing persons, places or events and would falsely appear authentic must be disclosed as AI-generated.
- Text on matters of public interest. AI text that is published to inform the public on matters of public interest must be labeled if it did not undergo human review or editorial control.
Providers of AI systems must also apply a machine-readable mark to generated content. The EU has published icons you can use to label AI content; using them is voluntary (source: European Commission, as of July 2026).
Discuss with your clients how you handle this and record it in your way of working. The full rules and dates are in our EU AI Act explainer. This is general information. Discuss your own situation with a lawyer.
How do you start with AI at your agency?
You start with one task for one client and expand once the way of working is in place.
Step 1: choose a task and a client. For example the social posts of a client with a clear brand guide.
Step 2: record the context. Brand guide, example copy and audience.
Step 3: agree on the review. Who reads it, and what that person checks.
Step 4: evaluate after a month. Compare the drafts with what was eventually published and sharpen the context.
Frequently asked questions
Can AI write in a client's tone of voice? Yes, if you supply that client's brand guide and example copy as context. The AI writes a draft in that tone. A team member reads it and checks facts and claims before publication.
Can I enter client data into an AI tool? That depends on your contract with the client and on the GDPR. Check the confidentiality agreements, sign a data processing agreement with the AI provider if personal data goes in, and record which tools your team uses.
Does AI content need a label? Article 50 of the EU AI Act has applied since 2 August 2026. Deepfakes must be disclosed as AI-generated. The same goes for AI text on matters of public interest published without human review or editorial control.
Does AI replace junior staff at an agency? AI delivers first versions. Assessing, sharpening and aligning with the client remains work for your team. Juniors then spend their time on review and learn what makes a draft good.
What does AI cost for a marketing agency? A 1-on-1 AI training costs from €449 excl. VAT. The implementation of an AI agent starts from €1,495 one-time, on invoice (as of October 2026). Read more about what an AI agent costs.
Using AI at your agency?
Want to build your team's AI skills first? That is possible with a 1-on-1 AI training. Curious what a digital worker can do for your agency? Look at AI content creation, read what an AI agent costs or schedule a no-obligation call.
