What is generative engine optimization (GEO)?

Generative engine optimization, or GEO, is the practice of optimising content so that AI search engines and chatbots such as Google AI Overviews pick up your information and cite you as a source.

By
DIKKE KASSA editors
European affiliate team
Topic
Glossary
Read time
2 min read

How does GEO differ from classic SEO?

SEO is about positions in a list of blue links; GEO is about becoming the answer. AI systems summarise multiple sources and cite the one that answers the question most clearly.

The foundation overlaps: technical accessibility, authority and relevance still count. GEO adds requirements at the level of the text itself.

Which content works for AI answers?

Texts that answer the core question directly in the first sentence and only then add nuance. Think in definitions, clear question-style headings, tables and numbered steps.

AI models prefer citing sources with verifiable facts and concrete figures over vague marketing copy. Every claim you make must be supported somewhere.

The role of structured data

Schema markup such as FAQPage, Article and HowTo helps search engines and AI systems understand which questions your page answers. It is no guarantee, but it is a strong signal.

Consistent hreflang, canonical URLs and an up-to-date sitemap ensure the right language version of your answer gets picked up.

How DIKKE KASSA approaches this

Our knowledge hub is built around direct answers to real questions about affiliate marketing in Europe, in four languages and with a consistent structure per article.

That makes us visible in classic search results and in AI answers — exactly where future customers ask their first question.

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