#MarketingTeam4U
#MarketingTeam4U
aufeinwort Content Marketing
AI SEO and GEO (Generative Engine Optimisation) refer to the optimisation of content for generative AI engines. The aim is to have one’s own content featured in the AI’s responses.
The key difference is that, with SEO, keywords and key phrases are crucial for achieving visibility in search rankings. GEO, on the other hand, is based on specific questions posed to AI and statistical calculations; the aim is to achieve visibility within the AI’s responses. There are various ways to do this:
The development of GEO and SEO is fast-paced, with many changes occurring all the time. At present, however, traditional SEO remains important.
In Google Search, AI results appear right at the top. As a result, many users now only read the AI response and sometimes no longer look at the traditional search results at all. If you do not focus on GEO, you therefore run the risk of no longer being found easily in future – even if your own website continues to rank well in the traditional search engine. An AI search engine works differently to a traditional search engine: it uses the available information to generate its own, fully formulated AI answer. Links to websites are cited as sources rather than appearing in a list of results.
AI SEO and GEO are therefore not just a topic for the future, but an immediate opportunity to gain an early competitive advantage. Many companies are not yet capitalising on this competitive advantage – content structured for AI therefore has a particularly high chance of gaining significance early on in training processes and delivery mechanisms.
At the heart of Generative Engine Optimisation and AI SEO lies the likelihood of being featured as part of an AI response. To be taken into account by AI search engines, content must be formatted in such a way that it can be easily processed by AI systems and incorporated directly into the responses. AI models favour clearly structured, high-quality information, unambiguous statements and data that can be clearly interpreted. Long lines of reasoning, metaphorical language or unnecessary embellishments make it more difficult to process data. It is therefore crucial to formulate information in the way that users actually ask for it. The answers to these questions should follow immediately.
An AI search engine generates answers based on training data from a wide variety of online sources and, ultimately, on a probability assessment. This means that the more often the AI engines find, for example, a brand in combination with a topic online, the higher the probability that it will be included in the answer.
Optimising online content for AI engines follows a number of basic principles:
Contrary to a common misconception, AI models cannot be trained simply by including certain keywords in prompts as often as possible. AI engines work differently: training takes place in defined cycles and is based on large volumes of data sourced from a wide variety of sources. Platforms such as Reddit or Quora are particularly effective in this regard, as they contain genuine questions and real answers in natural language. This is precisely what generative AI models need in order to understand human questioning behaviour.
The interplay of keywords is also relevant: AI models calculate the probabilities of how often certain terms occur together. The more frequently such combinations appear in high-quality sources, the more likely they are to be included in AI responses. This also includes reputable specialist journals. Therefore, citable content on content portals, in specialist journals, or in interviews and studies is also important.
Getting started with Generative Engine Optimisation does not require completely rewriting all content. Many companies already possess a great deal of high-quality material that simply needs to be structured in a way that is suitable for AI. This includes, for example:
The integration of schema mark-ups, such as FAQs (Frequently Asked Questions), is particularly effective. These structure content in such a way that it can be processed much more easily by search engines and AI engines. AI search engines recognise that certain content answers questions or explains processes, and categorise it accordingly. This increases the likelihood of it being included in the generated responses.
Traditional search engine optimisation remains relevant, as Google Search is not going to disappear entirely. Traditional SEO therefore remains important. The development of GEO and SEO is fast-paced, with many changes occurring all the time. Whilst SEO and GEO currently complement each other, this may change. It is therefore important to monitor future developments and take them into account in your own online marketing strategy.
The aim is to build long-term digital authority. Combining SEO and Generative Engine Optimisation creates a holistic presence in search results. Those who start using GEO now can establish a presence in a field that is still relatively uncontested and build up expertise at an early stage. This is because structured content, clear answers, high-quality sources and a consistent presence lead to sustainable visibility.
Our recommendation: Carry out a detailed SEO and GEO audit to assess the current state of your online visibility. This will provide you with a basis for further optimisation. Should you require assistance with this, please do not hesitate to contact us.
Latest post
