Generative Engine Optimization
Optimizing content so that it is named and cited in the answers of generative AI systems.
Generative Engine Optimization, GEO for short, refers to aligning website content with systems that answer a question with a formulated answer instead of a list of links. These include ChatGPT, Perplexity, Google AI Overviews and comparable services.
The difference from classic search engine optimization lies less in the technology than in the goal. A results list has ten places, a generated answer names three or four sources — and there is no eleventh place that anyone still clicks. The work shifts accordingly: from ranking to the question of whether a language model can cleanly extract a statement at all and attribute it to a source.
In practice, GEO rests on three conditions. First, the content must be reachable for the providers' crawlers, which many websites unintentionally prevent. Second, the text needs a structure in which individual statements are delimited and given context. Third, the systems prefer sources with verifiable information — figures with dates, named methods, recognizable authorship.
What Provimedia uses it for
Provimedia offers GEO as a service of its own and operates Rankion, a platform that measures visibility across several answer engines.
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