LLM, GEO & AI Optimization

Generative optimization (GEO) is the adaptation of website content for AI systems that generate responses. Unlike traditional search engine optimization, the goal is to have your business recommended directly in the responses of ChatGPT, Claude, or other AI assistants. GEO focuses on structured data, natural language processing, and providing information in a format that language models can understand and cite.

67% of German users are already using generative AI for their information searches – with a strong upward trend. Google AI Overviews appear in 58% of all search queries, leading to a halving of traditional website clicks. Those who are not optimizing for AI systems now are missing out on a growing user group. Early adopters are already gaining competitive advantages today, while others are still hesitating. The AI revolution in search behavior is unstoppable.

Classic SEO aims for rankings in search results, while GEO focuses on direct recommendations by AI assistants. While SEO prioritizes keywords and backlinks, GEO concentrates on structured data, FAQ formats, and natural language processing. The crucial difference: with GEO, it’s not about clicks to your website, but rather that AI systems mention and recommend your business as a trusted source in their responses.

GEO is based on RAG technology (Retrieval-Augmented Generation): AI systems search data sources and generate answers. Successful strategies include implementing schema markup, structuring content in FAQ format, EEAT signals (Expertise, Authority, Trustworthiness), and presence in authoritative sources such as Wikipedia or professional publications. Additionally, we optimize H1/H2 hierarchies for conversational queries and create structured data that AI crawlers prefer. Timestamps and up-to-date information further enhance relevance.

No, GEO complements traditional SEO and should never replace it. Our approach synergistically combines both strategies: Traditional SEO secures rankings in search engines, while GEO ensures visibility with AI assistants. Many users simultaneously use Google and ChatGPT for different queries. A holistic strategy captures all user groups and maximizes your online reach. The best performance is achieved by websites that are optimized for both search engines and language models.

Initial improvements in AI visibility usually become noticeable within 4-8 weeks after technical implementation. Schema markup and structured data are relatively quickly picked up by AI crawlers. Content adjustments and FAQ optimizations take 2-3 months to reach full effect. Long-term strategies, such as presence in authoritative sources, develop over 6-12 months. Important: GEO is a continuous optimization process, as AI systems regularly update their data sources and adjust evaluation criteria.

A basic understanding is helpful, but not absolutely necessary. We explain all measures clearly and take care of the technical implementation entirely. However, you should understand why schema markup is important and how structured data works. Our team is happy to train you in the basics and show you how to create AI-friendly content yourself. Investing in basic GEO knowledge pays off in the long run.

Your content appears directly in the responses of AI assistants like ChatGPT, Claude, Perplexity, or Google AI Overviews. Unlike traditional search results, users do not receive a list of links, but rather a complete answer with your company as a recommendation. Additionally, your content can appear in AI-generated comparisons, summaries, and recommendation lists. The visibility extends across various AI platforms and mobile assistants, allowing you to reach a completely new audience.

As a specialized agency for AI optimization, we have the necessary expertise and practical experience. Our successful reference projects – from elite boarding schools to local service providers – demonstrate our competence. We combine technical know-how with strategic content understanding and are familiar with the specific requirements of various AI systems. Our team of SEO experts and AI specialists develops customized solutions for your industry and supports you from the initial audit to ongoing optimization.

Content marketing is central to EEAT. Regular, high-quality content demonstrates expertise and builds authority.

The costs vary greatly depending on the scope of the project. Even small measures can have positive effects.

Yes, with the development of AI and more frequent Google updates, EEAT will continuously gain importance.

Basic measures yes, but for systematic EEAT optimization, professional support is recommended.

Without EEAT optimization, you risk ranking losses, less organic traffic, and poorer competitiveness in search results.

Without AI optimization, you will become invisible to an increasing portion of your target audience. While your competitors are already being recommended by AI assistants, you remain excluded. Particularly problematic: Younger users (67% already use AI for information search) can no longer find your company. In the long term, this means losing new customers, declining market shares, and missed business opportunities. The advantage of early AI adopters will become harder to catch up with over time.

Yes, many classic SEO elements provide a good foundation for GEO: high-quality content, technical website optimization, and EEAT signals. Particularly, FAQ sections, structured data, and local optimizations translate positively. However, these fundamentals alone are not enough—GEO requires specific adjustments such as LLMS.txt files, conversational content structuring, and targeted schema markup strategies for language models. A combination of both approaches yields the best results.

AI optimization requires new measurement methods, as traditional analytics do not apply. We track mentions of your company in AI responses through regular tests of relevant search queries. Additionally, we measure referral traffic from AI platforms, analyze brand mentions across various language models, and monitor your position in AI-generated recommendation lists. Qualitative factors such as the context of the recommendations and the frequency of mentions provide further insights into optimization effectiveness.

Absolutely! Local GEO optimization is particularly effective as AI assistants are often asked for regional service providers. By using optimized LocalBusiness schema data, location-specific FAQ sections, and local content structuring, you significantly improve your visibility. Our boat service project in Waren shows that for local inquiries, AI systems preferentially recommend optimized businesses. Precise address data, opening hours, and service areas in structured form are especially important so that language models can provide accurate local recommendations.

Consulting-intensive industries benefit particularly strongly: lawyers, tax advisors, doctors, real estate agents, and B2B service providers. E-learning, software providers, and local service companies also show excellent results. In general, GEO works well wherever users are looking for recommendations, comparisons, or expertise. Pure e-commerce shops without a consulting component are less suitable. The crucial factor is: the more complex the customer inquiries, the more important it becomes to be present in AI responses, as users seek well-founded recommendations there.