Generative Engine Optimization (GEO) refers to measures that prepare website content so that AI systems such as ChatGPT, Perplexity or Google AI Overviews can understand it, reproduce it correctly and cite it as a source. GEO complements classic search engine optimisation with visibility in generated AI answers.
More and more people no longer ask a search engine but an AI. GEO makes sure your company appears as a source in those AI answers – just as SEO makes sure you are found on Google.
Why do I need GEO?
Search behaviour is changing: alongside Google, AI assistants such as ChatGPT, Perplexity, Gemini and Copilot increasingly answer product and service questions directly in the chat. These systems generate their answers from training data and web content retrieved live – and typically cite only a few sources. GEO aims to make your content one of those sources. Businesses that do not appear in the answers are practically invisible to a growing share of users.
GEO does not replace classic search engine optimisation – it builds on it. While SEO optimises for rankings and clicks in result lists, GEO is about being correctly cited, summarised and linked in generated answers. Many fundamentals – clean HTML, structured data, fast loading times and a clear content structure – benefit both disciplines at the same time.
Practical relevance for shop and website operators
For online shops and service providers, GEO means in practice: product information, services and unique selling points must be prepared so that machines can extract them unambiguously. This includes precise product data with Schema.org markup, clearly structured FAQ sections, unambiguous definitions and quotable, verifiable statements instead of advertising phrases. Technical aspects also play a role – for example, whether AI crawlers are allowed to fetch your pages at all. Our service page on GEO optimisation provides an overview of concrete measures.
GEO is not only relevant for consumer business: in B2B contexts, too, buyers and decision-makers increasingly research providers, solutions and comparisons via AI assistants. Which companies get mentioned there depends on which content the systems find, understand and consider trustworthy. Your own measuring points – such as referral traffic from AI services or regular test queries on your core topics – help you track the development over time.
Typical mistakes
- Treating GEO as a replacement for SEO – the two disciplines interlock and share many fundamentals
- Writing content only for humans and neglecting machine-readable structures such as heading hierarchies, lists and Schema.org
- Blocking AI crawlers wholesale via robots.txt and thereby unintentionally excluding yourself from AI answers
- Using advertising superlatives instead of clear, fact-based statements – AI systems favour quotable content
- Not measuring success: referral traffic from AI assistants goes unnoticed without analysis
What to look out for
Promising GEO strategies typically work on three levels: content (precise, fact-based texts with direct answers to specific questions), technology (structured data, well-configured crawler control, fast delivery) and strategy (building topical authority around your own offering, for example via interconnected content clusters). Our article on Generative Engine Optimization 2026 describes what a step-by-step implementation can look like.
Ask ChatGPT, Perplexity or Gemini about your most important products or services. If your company does not appear in the answers, there is usually room for action.