AI in Content Marketing
Content marketing was always demanding. Now AI promises more content, faster, cheaper. Sounds good. But what happens when every business uses the same AI and produces the same content?
Key Takeaways
The answer to that opening question: content becomes a commodity. Producing more does not automatically mean winning. Winning goes to those who produce better — with real perspective, real strategy, and genuine understanding of their audience.
That is actually good news. But only for those who understand it.
Simon Förstemann, growth strategist with 14 years of experience and 6 successful ventures, achieved +74% revenue growth not by producing more content — but by producing better content. Less, clearer, more strategic. Here are the five truths about AI in content marketing that most people do not want to hear, but that determine success or failure.
AI makes it possible to publish daily where weekly was once a stretch. That sounds like an advantage — but only if the content actually works.
Content that is not read, not shared, triggers no conversations and attracts no customers is not an asset. It is noise. And noise produced faster is still noise.
The question is not: "How do I produce more content?" The question is: "Which content delivers real results, and how do I produce more of that?" That is a strategic distinction. AI can accelerate the second step. But a human must take the first step.
In the age of AI content, the businesses that win are the ones with a genuine opinion. Because AI has no genuine opinion.
When everyone uses AI, average content gets produced faster. That means average becomes the norm. And whatever stands out from the norm gets a disproportionate share of attention.
This is not bad news for people who actually have something to say. It is excellent news. Because the barrier to genuine differentiation is not falling — it is rising. But so is the reward for clearing it.
What this means in practice: do not invest your energy in more content. Invest it in content so clear, so specific, so opinionated that it still stands out when everything else around it is AI-generated. That is the strategic advantage that compounds over the next few years.
AI can compile information, cite sources, and aggregate facts. That is useful — especially for first drafts and overview pieces. But it is not real research.
Real research means: diving into a topic and developing a viewpoint through that process. Having expert conversations and hearing what is said between the lines. Placing market trends in the context of your specific business. Drawing connections that are not obvious.
That emerges from experience and genuine intellectual engagement with a subject. AI simulates the output without the process. And output without the process is shallow — it sounds right, but has no depth.
Depth is what stays with readers after they finish reading. Shallowness is what gets forgotten immediately.
AI produces first drafts, not finished content. The difference matters. A first draft needs: strategic review, alignment with brand tone and voice, factual verification, nuanced additions from real knowledge, and editorial quality control.
Publishing AI output directly, without these steps, means publishing drafts. Sometimes nobody notices. Sometimes it causes damage. And almost always it leaves impact potential on the table.
The good news: an experienced editor working with AI support can produce three times the output compared to working without it. But the experienced editor — the person with strategic editorial judgment — remains indispensable.
The best-converting content Simon Förstemann has seen across 14 years and 6 ventures has one thing in common: it is clear in its perspective. It says what the author genuinely thinks — even when that is uncomfortable. It speaks to a specific audience, not everyone. And it comes from real experience, not from research someone else assembled.
AI can imitate that. But imitation and the original are two different things. Readers feel the difference even when they cannot name it. And that difference determines whether someone clicks "Book" or keeps scrolling.
+74% revenue growth was not the result of more content. It was the result of better content — less, clearer, more strategic. That was not an AI result. That was a strategy result. AI helped execute it faster. But a human set the direction.
+74% revenue growth — not from more content, but from better content. Less, clearer, more strategic. AI helped execute it. Strategy made it happen.
AI in content marketing is a tool. A very powerful one. But it is not a replacement for the strategic decisions that determine impact: What are you saying? To whom? Why should anyone care? What is your genuine perspective?
Those questions must be answered by a human. AI can then help bring those answers into the world faster.
Next Step
In a free 30-minute call, Simon Förstemann looks at which content is genuinely working for you, where you are leaving potential on the table, and how to use AI strategically to produce better — not just more.
Book Intro Call — Free & No Obligation →30 minutes · No pitch, no pressure · Directly with Simon Förstemann
How do I use AI in content marketing effectively?
AI is a tool, not a replacement for content strategy. Use AI for first drafts, variations, idea generation, and scaling. But invest first in clear positioning, genuine audience understanding, and your own perspective. AI accelerates good content marketing — it cannot rescue bad content marketing.
Is AI-generated content good for SEO?
AI-generated content can work for SEO if it delivers real value, has a clear perspective, and is well edited. Technically correct but generically interchangeable AI content will not rank long-term. Google evaluates E-E-A-T (Experience, Expertise, Authoritativeness, Trust) — genuine expertise cannot be simulated.
What can AI not do in content marketing?
AI cannot develop its own perspective, take a genuine stance, or build deep understanding of a specific market or audience. Content that truly converts comes from real perspective — not from data points and patterns. In 7 out of 10 cases, the content that generates enquiries is the content that dares to take a clear position.
How do I recognise good AI content?
Good AI content has a recognisable perspective, addresses a clearly defined audience, holds a genuine opinion, and shows visible human editorial judgment. Poor AI content is smooth, generic, has no edges, and sounds like it could have been written by everyone and no one. The difference is felt even when it cannot be named.
Which AI tools are useful for content marketing?
The question of which tool to use is secondary. The right question is: do you have a clear content strategy, defined positioning, and genuine audience understanding? If yes, almost any AI tool can be useful. If no, no tool will replace the missing foundation — and you will produce more of what is not working.
Can AI content replace a content strategist for small businesses?
No. For small businesses and SMEs especially, strategic clarity matters more than production volume. AI can help a skilled strategist produce three times as much — but the strategic layer, knowing what to say, to whom, and why it matters, remains entirely human. Without that layer, AI only amplifies the wrong direction faster.
About the author
Simon Förstemann
Growth strategist & marketing advisor with 14 years of experience. 6 ventures founded, 3 exits, Red Dot Award and German Design Award winner. Works 1:1 with decision-makers — no agency, no workshops that lead nowhere.
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