Your agency for AI SEO optimization in Berlin.
Our Berlin-based online marketing agency supports SMEs with tailor-made AI SEO solutions to boost visibility in AI systems such as ChatGPT and Gemini. While traditional SEO focuses on Google, AI SEO builds on proven optimization principles combined with new strategic and technical approaches to ensure your company is mentioned, cited, and represented accurately in AI-driven platforms. These AI assistants—often referred to as “Large Language Models” (LLMs)—act as intelligent digital partners, engaging users in conversations to answer both informational and transactional queries. For businesses, it’s essential to be visible not only in organic Google search but also within AI systems, positioning your brand as a unique and authoritative entity. Ready to give your company its AI boost?
Goals of Generative Engine Optimization (GEO)
The way people search for knowledge and solutions online is undergoing a major shift. Traditional search engines with organic results are increasingly competing with AI assistants. More and more users are turning to AI-powered systems such as ChatGPT, Google Gemini, or the new AI Overviews in search engines—and doing so with growing confidence.
At the heart of this change is a new expectation: users no longer want to sift through long lists of results but instead demand concise, reliable answers instantly. Alongside organic rankings, artificial intelligence has become a key authority in information retrieval, fundamentally reshaping search behavior.
For companies, this transformation brings a clear challenge: content must be structured so that AI systems can understand, evaluate, and use it as a source. The goal of Generative Engine Optimization (GEO) is to ensure your expertise becomes the answer AI delivers. Only businesses that strategically prepare their content, showcase their authority, and build trust will remain visible in this AI-driven search landscape. AI is now a gateway to digital visibility—redefining online marketing strategies and opening new opportunities.
True AI SEO success doesn’t come from isolated prompt engineering but from consistent semantic relevance. Businesses that establish clear thematic positioning gain visibility across diverse contexts—even when AI-generated responses vary.
Leverage First-Mover Advantage and commit to continuous learning and optimization.
Build and strengthen your brand authority.
Create visibility in AI assistants by leveraging mentions, authoritative sources, and demonstrated expertise.
Drive traffic through brand authority and authoritative source links.
AI Optimization - Our Service.
Maximize visibility and impact by continuously analyzing and strategically optimizing.
Measuring visibility in AI systems is still challenging, but it can be observed, tested, and optimized over time. Companies that regularly monitor how often and in what context their content appears in large language models (LLMs) gain valuable insights to refine their strategy. This transforms chance appearances into a systematic approach—building sustainable AI visibility through continuous optimization.
Search Engine Optimization as the foundation.
AI models tend to favor content that ranks well on Google or originates from trusted sources. This makes SEO indispensable in the age of large language models (LLMs). Strong organic visibility, clean on-page optimization, and high-quality backlinks significantly increase the likelihood that your content will be cited or recommended in AI-generated responses. Companies that cover topics comprehensively, strengthen E-E-A-T (Experience, Expertise, Authoritativeness, and Trustworthiness), and keep content up to date can sustainably improve both their Google rankings and AI visibility.
Align content with user questions.
LLMs such as ChatGPT or Perplexity are designed to answer questions. As a result, content that directly addresses typical user queries is favored. Structuring information in a clear, precise, and response-oriented format increases the likelihood of being featured in AI-generated answers. Particularly effective are well-formulated W-questions, straightforward explanations, and concise core statements—elements that both machines and people can quickly understand.
Develop holistic, authoritative, and citable content.
LLMs such as ChatGPT or Perplexity favor content that covers a topic thoroughly, clearly, and with practical relevance—rather than superficial texts. Explaining complex subjects in a structured way, supported by facts, examples, and accessible language, enhances the relevance of your content. Short, concise quotations and a focus on utility over advertising further increase the likelihood of being included in AI-generated responses.LLMs such as ChatGPT or Perplexity favor content that covers a topic thoroughly, clearly, and with practical relevance—rather than superficial texts. Explaining complex subjects in a structured way, supported by facts, examples, and accessible language, enhances the relevance of your content. Short, concise quotations and a focus on utility over advertising further increase the likelihood of being included in AI-generated responses.
Use a clear content structure supported by clean semantic HTML.
LLMs process websites much like structured datasets—the clearer the technical and content organization, the better the material can be understood and cited. A clean headline hierarchy, logically arranged sections, and the use of lists, tables, and semantic HTML make it easier for machines to capture context and support automation. Additionally, structured data markup such as Schema.org enhances usability, ensuring content is specifically accessible to both AI systems and search engines.
Optimize content for AI crawlers and LLM evaluation.
Only publicly accessible and technically compliant content can be captured and processed by AI systems. That’s why AI visibility begins with a solid technical foundation—such as allowing crawler access, ensuring fast loading times, and delivering clean mobile experiences. Open content without login barriers and correctly implemented canonical tags further increase the chances of being recognized and cited in AI-generated responses.
Leverage multiple content formats that LLMs can easily recognize.
AI systems now process far more than traditional website text. Transcribed videos, structured PDFs, FAQs, slides, and podcasts are increasingly incorporated into their responses. To maximize visibility, content should be available in diverse, machine-readable formats. Subtitling videos, transcribing podcasts, or publishing on platforms like LinkedIn expands reach and improves discoverability within AI systems.
Entity-focused strategy.
LLMs recognize brands, people, and tools as distinct entities. Consistency in how these are presented is crucial for recognition and visibility. Using names uniformly, clearly defining brand context, and providing structured information make it easier for AI systems to assign relevance. A well-connected content ecosystem—featuring FAQs, articles, and use cases—further increases the likelihood of being cited as a trusted source.
Ensure consistency and strengthen recognizability.
A firm content structure, consistent tonality, and regular audits increase visibility and the likelihood of being cited. As an experienced online marketing agency, we enhance the quality and long-term visibility of your company’s content. This requires a clear, sustained strategy—developed individually for your business. Together, we define content goals aligned with your unique strengths and create tailored material to maximize AI-driven optimization.
Key KPIs for AI SEO Optimization.
For sustainable AI SEO optimization, traditional keyword analysis alone is no longer sufficient. The decisive factor is a data-driven, analytical assessment of your brand’s visibility and perception within AI-powered systems. This is where our approach begins: our AI SEO strategy is built on a structured evaluation of relevant KPIs, specifically developed for generative search and response environments. Using specialized analytics tools, we capture, assess, and optimize the factors that determine whether, how, and in what context your brand and content are surfaced by AI systems. As an experienced AI SEO agency, we ensure your content receives preferential consideration in contextual responses. In short: technical relevance, semantic structure, and trustworthy sources are the key levers for stronger AI visibility.
Promptly.
- The prompt is the foundation of every AI response and plays a crucial role in any goal-oriented AI SEO strategy.
- We systematically analyze which search queries, phrasing, and contexts lead to your brand, products, or services being considered within generative systems.
- Based on this analysis, we identify relevant keywords, semantic structures, and user intentions—enabling your content to be promptly optimized and positioned more effectively in AI-driven responses.
Visibility.
- Visibility measures how often and to what extent your brand or domain appears in AI-generated responses.
- As a central KPI in AI SEO optimization, it reveals whether your content is present in generative systems or overshadowed by competitors.
- We differentiate between simple mentions, brand-related context reproduction, and content-specific relevance—deriving concrete optimizations for content, structure, and structured data to strengthen your presence.
Sentiment.
- Sentiment analysis evaluates the tone in which your brand is referenced—positive, neutral, or critical.
- As a key signal in AI SEO optimization, it directly influences trust, click behavior, and how your brand is perceived in AI-generated answers.
- We conduct in-depth sentiment analysis, uncover the causes of negative mentions, and implement measures to strengthen positive narratives while proactively managing reputation.
