Marketing, SEO & GEO

SEO stays the foundation. Technical structure, clean entities, structured data (Schema.org/JSON-LD) and E-E-A-T decide whether a page ranks in Google and Bing.

On top of that sits GEO, Generative Engine Optimization (sometimes called AIO, AI Optimization): optimizing so your content gets cited in answers from ChatGPT, Google Gemini, Perplexity and Google AI Overviews. The two disciplines overlap, but they play by different rules. For a language model, clear definitions, named sources and quotable key statements count for more than raw keyword density.

For decision-makers in the DACH region, this stopped being a purely technical detail a while ago. Someone searching for vendors, solutions or terminology now lands in an AI-generated answer more often than in the old list of blue links. If your brand isn't referenced there, you lose reach before competitors even show up.

We get into how to scale content production with automation (through n8n and LLM-assisted pipelines, for instance) without letting quality thin out, how first-party data and marketing automation carry lead generation, and how you actually measure results: Core Web Vitals, organic rankings and your share of voice inside AI systems. The focus stays practical and tuned to the German-speaking market: GDPR-compliant data use, visibility across Germany, Austria and Switzerland in more than one language, and content that reads well for people and machines alike.