In this follow-up, we make it concrete. How do you apply generative AI today in a way that saves time and safeguards quality? Below are three practical applications that add immediate value.
1. Faster to a logical website structure
Determining a good website structure often takes more time than expected. You want pages to be logically structured, align with your target audience, and contribute to your conversion goals. AI can help to quickly create an initial framework.
Example prompt:
“Create a clear website structure for a [type of company] aimed at [target audience], including pages and subpages.”
What you get is an initial draft layout. Not a final strategy, but a thought accelerator. You save brainstorming time and can focus on optimization and positioning.
Strategic tip: provide extra context (target audience, unique selling points, region, tone of voice). The more specific your prompt, the more usable the outcome.
2. Competitor analysis without hours of investigation
Competitor research is essential, but often time-consuming. AI can quickly summarize large amounts of text and identify patterns in positioning, offering, and tone of voice.
Example prompt:
“Analyze this website and provide an overview of their positioning, target audience, key message, and opportunities for improvement.”
You receive a structured overview that helps you gain insight faster. This does not replace in-depth market research but significantly accelerates the initial analysis.
Strategic tip: also explicitly ask AI to identify weaknesses or missed opportunities. This often yields surprising perspectives.
3. Content production more efficiently
Creating content requires both creativity and energy. AI helps by generating multiple angles or variations, so you can reach a strong version faster.
Example prompt:
“Write three LinkedIn posts about [topic], professional and accessible, aimed at [target audience].”
Use the output as a starting point. Combine ideas, rewrite where necessary, and add your own vision. This keeps the content authentic.
Strategic tip: don’t just let AI write, but also improve. For example: “Make this text more powerful and concrete, without jargon.”
How do you really benefit from it?
The applications above seem simple, and they are. But the real difference lies in how you use AI within your workflow.
See AI as:
- Preparer of first drafts
- Bringer of structure to complex information
- Sparring partner for ideas
- Accelerator of repetitive tasks
See AI not as:
- Final editor without control
- Specialist advisor
- Replacement for strategic thinking
By consciously positioning AI in your work process, you prevent errors and maximize returns.
From experiment to fixed working method
Many organizations still use AI ad hoc. Someone tries a prompt, a colleague tests something with content, but there is no clear approach. Do you want to achieve structural benefits? Then it helps to:
- Establish guidelines for responsible use
- Train employees in prompting skills
- Make agreements about control and fact-checking
- Explicitly include AI in existing workflows
This is how you shift from experimenting to professional implementation.
Conclusion: start small, big effect
You don’t need a complete AI strategy to start. Just pick one or two areas where you can save time right away. The gain is not in using more tools. The gain is in working smarter with the tools you already have. In the previous blog, we saw that AI can widen the gap between users and strategic users. With the applications above, you ensure that you belong to that second group. If you want to know more about AI and how to use it in your organization, please contact us.
