{"id":70360,"date":"2026-05-21T09:00:00","date_gmt":"2026-05-21T07:00:00","guid":{"rendered":"https:\/\/www.mashup-communications.de\/2026\/05\/storytelling-beats-prompting-how-corporate-influencers-become-truly-visible-with-and-despite-ai\/"},"modified":"2026-06-03T18:06:31","modified_gmt":"2026-06-03T16:06:31","slug":"storytelling-beats-prompting-how-corporate-influencers-become-truly-visible-with-and-despite-ai","status":"publish","type":"post","link":"https:\/\/www.mashup-communications.de\/en\/2026\/05\/storytelling-beats-prompting-how-corporate-influencers-become-truly-visible-with-and-despite-ai\/","title":{"rendered":"Storytelling beats prompting: How corporate influencers become truly visible with\u2014and despite\u2014AI"},"content":{"rendered":"\n
\"“Relevant”<\/figure>\n\n

<\/p>\n\n

From content overload to the question of meaning<\/strong><\/h2>\n\n

LinkedIn is full. Full of good texts. Full of smart thoughts. Full of people who apparently all had the same five learnings from the same week. <\/p>\n\n

And that is no coincidence. AI has democratised content. Anyone can write today. Quickly. In a structured way. And without errors, too. What used to take hours can now be done in seconds with a prompt. <\/p>\n\n

The problem: that is exactly how it feels. The feed has become efficient, but not more relevant. It is smooth, but rarely memorable. <\/p>\n\n

Content is no longer a scarce resource; attention is. This shifts the key question: no longer who posts how much on which topic, but who actually has something to say? Or put differently\u2014it\u2019s no longer just about content. It\u2019s about meaning. <\/p>\n\n

The real problem: AI scales content\u2014but also interchangeability<\/h2>\n\n
\n

\u201cWhat we are currently observing on LinkedIn is not a quality problem in the traditional sense. On the contrary: many pieces of content are better formulated today than they were a few years or even months ago,\u201d <\/p>\nsays Jennifer N\u00fcrnberger, senior consultant for storytelling on social media and in PR at Mashup Communications.<\/cite><\/blockquote>\n\n

<\/p>\n\n

The real problem lies elsewhere. Because while AI can optimise, structure and reproduce narratives, it does not create new ideas or original thoughts and opinions. This leads to an effect that is noticeable in the feed: content is correct, but rarely surprising. Clear, but rarely distinctive. And therefore interchangeable.When everything is well written, the personal becomes the decisive differentiator. Or more specifically: the perspective, the story, and the emotions we evoke in the reader. <\/p>\n\n

Why corporate influencers are now taking on a new role<\/h2>\n\n

For a long time, corporate influencers were an add-on to traditional communication. More personal, more relatable, a little less \u201ccorporate.\u201d Today, that is no longer enough. Because when content can be produced at any time, expectations change. Reach is no longer created by activity alone, but by relevance.Corporate influencers are thus becoming more than just senders. They are becoming translators. They frame topics, provide context, and make them relatable for others. That is exactly what storytelling can achieve: translating expertise into stories and giving them meaning. <\/p>\n\n

Storytelling as a differentiating factor<\/h2>\n\n

Storytelling is often misunderstood in this context. <\/p>\n\n

\n

\u201cIt is not about making content \u2018prettier\u2019 or artificially emotional. It is about making it relatable and relevant to others,\u201d <\/p>\nsays Jennifer N\u00fcrnberger, senior consultant for storytelling on social media and in PR at Mashup Communications. <\/cite><\/blockquote>\n\n

<\/p>\n\n

Good posts therefore rarely start with a thesis. They start with an observation from real life\u2014a strong hook. The difference is small, but powerful. In this context, storytelling translates abstract topics into concrete situations, lines of thought, or experiences, making them memorable. <\/p>\n\n

The role of AI in storytelling: a tool, not a replacement<\/h2>\n\n

AI can support exactly here\u2014but it cannot replace it.<\/p>\n\n

It helps with:<\/strong><\/p>\n\n

    \n
  • organizing thoughts<\/li>\n\n\n\n
  • sharpening arguments<\/li>\n\n\n\n
  • exploring different perspectives<\/li>\n<\/ul>\n\n

    <\/p>\n\n

    What it cannot do:<\/strong><\/p>\n\n

      \n
    • generate experiences<\/li>\n\n\n\n
    • recall lived experiences<\/li>\n\n\n\n
    • form its own thoughts and opinions<\/li>\n<\/ul>\n\n

      <\/p>\n\n

      But it is precisely these elements that turn any piece of content into a story. AI is therefore not a replacement for storytelling, but a tool for it. A good one, even\u2014so long as its limits are clearly understood. <\/p>\n\n

      A sensible workflow for using AI in storytelling could look like this:<\/strong><\/p>\n\n

        \n
      • Capture your own experience (raw, unstructured)<\/li>\n\n\n\n
      • Use AI to suggest structure or narrative flow<\/li>\n\n\n\n
      • Personalise and sharpen the text again<\/li>\n<\/ul>\n\n
          \n
        1. <\/li>\n<\/ol>\n\n

          Best practices: corporate influencers on LinkedIn<\/h2>\n\n

          A look at successful profiles shows that reach is rarely accidental, but instead emerges from recurring narrative patterns as well as posts and stories with personality.<\/p>\n\n

          Teresa B\u00fccker: relevance through opinion<\/h3>\n\n

          Teresa B\u00fccker<\/a> connects economic and social issues with a clear feminist perspective. Her posts do not work because they try to please everyone, but because she deliberately takes a stand\u2014on topics such as care work, gender equality, or new models of work. This creates friction\u2014and precisely through that, relevance, because her content does not just inform but sparks debate. <\/p>\n\n

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