Answers · AI Visibility

What is generative engine optimization (GEO)?

The short answer

Generative engine optimization (GEO) is the practice of optimising content and signals to become visible in the answers of generative AI systems such as ChatGPT, Claude and Gemini. GEO complements SEO: instead of rankings, it is about being cited, named and recommended.

GEO vs. SEO — the core difference

SEO optimises for search engine rankings: position 1 to 10, clicks, traffic. GEO optimises for generated answers: does the brand get named? Is it categorised correctly? Which sources does the system cite?

The two are connected — good content helps both disciplines. But GEO asks different questions: citable statements instead of keyword density, clear entities instead of landing page tricks, consistent external signals instead of backlink counts.

The main GEO levers

In practice these factors decide most:

Direct, citable answers to real decision questions
A clear topic and entity structure on the website
Presence in the sources AI systems draw on (trade media, directories, reviews)
Structured data and machine-readable content

Where to start

Diagnosis comes before optimisation: which topics does AI connect with the brand today — and which with its competitors? The Infera scan delivers that stocktake as a basis for decisions, before any budget flows into measures.

Which topics does AI connect with your brand?

The Infera scan shows you — €249 one-off, fixed price, a clear view of the results.

Scan my brand