Campaign Ideas
Have topics, perspectives, or questions developed based on a specific briefing. Then review which proposals align with the proposal, target audience, and communication objective.
Artificial intelligence can assist marketing teams with ideas, drafts, research, and repetitive tasks. The key factors are which task you want to tackle, what information you need to do so, and who will review the results.
This guide highlights typical use cases and provides a straightforward introduction for small and medium-sized businesses.

AI in marketing refers to the use of artificial intelligence to support marketing tasks. This includes organizing information, preparing content, and analyzing data. Generative AI, for example, can generate text suggestions based on a briefing. Other applications help identify patterns in data.
A tool cannot replace your knowledge of the company or your responsibility for published statements. A well-written draft may be factually incorrect, incomplete, or unsuitable for your target audience. That is why review and revision are part of the workflow.
Six tasks where AI can help with preparation. Your team is still responsible for the technical review.
Small teams can delegate preparatory work, make better use of existing resources, and structure recurring processes more clearly. This frees up more time for technical decisions, creative work, and communication with customers.
Whether these benefits actually materialize depends on the task, the input material, and the post-processing. Compare a test run with your current approach: How much time does the entire process take? What errors occur? Is the result usable? A quick draft alone does not necessarily indicate higher productivity.
Step by step toward a solid foundation.
Review processes: Where does extra work regularly arise? Where is information missing or where are responsibilities unclear?
Narrow down the possibilities: Choose a task whose results your team can evaluate from a technical standpoint.
Prioritize use cases: Weigh the expected benefits, effort, and risks. Start with a manageable test.
Evaluate tools: Assess their suitability, data processing capabilities, costs, and how well they integrate with your workflow.
Make it part of your daily routine: Document inputs, verification steps, responsibilities, and approvals. Improve the process based on your experience.

Confidential information should only be stored in systems that have been tested and approved for that purpose. Verify sources, facts, image and text rights, and the suitability of the content for your target audience. Automatic publication should only be considered once the scope, limitations, and controls have been reliably established.
AI can provide options and analyses. Decisions regarding positioning, messaging, and how to interact with customers still require professional judgment. Also, be sure to note when it makes more sense to handle a task without AI.
Answers and additional information.
Other suitable tasks may include information processing, campaign planning, data analysis, and the preparation of personalized content. Whether a particular application is appropriate depends on your goals and the available data.
To get started, it is particularly helpful to understand a tool’s specific function and limitations. Theoretical models of different types of AI are no substitute for evaluating the intended use.
If initial tests do not show clear benefits, if many tools are being used in an uncoordinated manner, or if there is a lack of clear responsibilities, an external assessment can be helpful. Our AI marketing consulting for small and medium-sized businesses focuses on suitable use cases, tools, processes, and implementation within the team.
A chatbot is one type of conversational application. You can find more information about its capabilities and limitations on our AI Chatbot page.