AI tools have democratized content marketing — in the worst sense of the word. Where you once needed an editor, a briefing, and a budget, today you click your way through a blog post in two minutes. That sounds like progress. Above all, it is one thing: faster production of content that nobody reads, nobody finds, and nobody needs.
The Illusion of „Faster-More“
Since 2023 at the latest, AI has become the standard machinery in content marketing. Every company, every agency, every freelancer relies on language models to produce texts faster, cheaper, and in greater volume. „Every business produces a blog post in two minutes“ — this statement is no longer an exaggeration; it is everyday reality.
The problem is not the technology. The problem is the confusion of production with impact. A text that is not found does not convert. A text that is found but holds no relevance for the reader does not convert either. The volume of content produced has multiplied — conversion rates have not. The „click“ effect fails to materialise because the text is simply irrelevant: to Google, to language models, and to the customer.
The Problem: Filler Text Instead of Customer Engagement
It is not enough for a text to be grammatically correct. Spelling and syntax are not success criteria — they are minimum standards. Yet that is precisely what AI text generators deliver: tidy, error-free, entirely interchangeable paragraphs. The reader can feel it. Algorithms can too.
The bottleneck in content marketing was never the volume of texts. It has always been visibility and relevance for a specific search intent. Whoever uses AI to produce more of the same faster is accelerating exactly the part that was already delivering nothing before. The real work — keyword strategy, user intent, positioning — remains undone.
Core thesis: Texts do not generate conversion. Visibility and relevance do. AI cannot replace either — at best it can support both, provided the strategy is sound.
Google Versus AI — and Where the Customer Is
Alongside the AI content flood, Google itself is fundamentally changing search behaviour. With the Search Generative Experience, Google increasingly answers search queries directly within the search result — without the user needing to visit a website at all. The classic „click point“ of position one, two, or three is losing significance. What counts is the mention within the generated answer text.
At the same time, more and more users are shifting their questions from Google to language models such as ChatGPT or Perplexity. The search query becomes a conversation. Behaviour has changed structurally: someone making a purchasing decision no longer types „best accounting software 2024“ into a search engine — they ask a model that gives them a recommendation, without the provider ever knowing.
This can be verified — there is data on it. And it can be influenced, only through different means than classical SEO. The question is no longer: „Does my page rank in position three?“ The question is: „Does my company appear in the answer at all?“
Influencing Through Technology: AI-Friendly SEO
What language models and AI-assisted search responses favour differs significantly from classical SEO thinking. No advertising language, no superlatives, no keyword stuffing. What is called for is clear facts, structured data, and citable sources. A text that answers a question precisely is more likely to be adopted by a model than a text that sells an emotion.
In practical terms, this means: FAQ sections with direct answers, structured data in JSON-LD format, clearly arranged tables, and a clear content hierarchy. Anyone who structures their content this way increases the likelihood of appearing in AI-generated answers — that is, precisely where users make their decisions today. Advertising language and convoluted marketing promises are not merely ineffective in this context; they are actively counterproductive.
Conclusion: Content Is No Longer a Redirect — It Is the Answer
Marketing in 2026 no longer works with volume and distraction. Every text must be conceived as part of a conversation — as an explanation, as an answer, as a citable statement. Not as an invitation to click through to a landing page. The strategic question for every company is therefore: What does your text do when the model does not even know you exist?