AI content

AI content is content created wholly or partly with generative AI, where a large language model generates text, structure or ideas that you then check, supplement and publish.

An accelerator, not a replacement

AI is excellent at speeding up the heavy work: writing a first draft, dissecting a topic, coming up with variants or summarising a source. But a model does not know what is true in your market, does not know your customers and sometimes makes up facts. That is why AI content on its own is rarely good enough. The real value arises when you add human expertise: own experience, concrete examples, correct figures and a point of view only you can give. That way you use AI as an accelerator and not as a replacement for expertise.

Why quality decides whether you get cited

Generic, unchecked AI text stands out, including to AI engines themselves. Models such as ChatGPT, Gemini and Perplexity prefer to cite sources that radiate E-E-A-T: demonstrable experience, expertise and trustworthiness. Mass-published, substance-free content undermines exactly that signal. For GEO it is therefore not about how much you publish, but whether your content is original, correct and worth citing. Pages that truly add something are cited more often as a source in AI answers.

How do you steer it?

Treat every AI draft as raw material, not as a finished product. Have an expert verify it, cut hollow sentences and add what makes the difference. At Customer Impact this revolves around the result that matters: content that delivers customers and revenue, not volume for volume’s sake. Good content marketing remains human work, with AI as a lever. That way you build authority that becomes visible both in classic search results and in AI answers.