1. Analysis & GEO audit
A thorough analysis of existing content, technical foundations and current visibility in AI systems. This reveals where potential exists and where to start.
Most companies optimize only for Google – while their customers already get answers from generative AI systems. This is exactly where one of the biggest gaps in digital visibility is emerging right now.
Today it is no longer enough to simply be found. Brands have to be part of the answer – as a source, as a recommendation, as a trustworthy provider. This shift is described as Generative Engine Optimization (GEO).
As a GEO agency in Berlin, Happy Heroes helps companies build exactly this presence. In the context of LLMO (Large Language Model Optimization), that means developing content and structures so they are understood, classified and used in answers by AI systems – so that brands are visible where decisions are made.
Our audience are marketing leads, executives and in-house teams who want to become visible in generative answers – not just in classic rankings.
Visibility in generative AI systems like ChatGPT, Perplexity, Google Gemini or Microsoft Copilot is not created through classic rankings, but through relevance within concrete answers. AI systems access content, evaluate it in the context of a question and select the information that flows into the answer.
SEO creates visibility in search results. GEO creates visibility in answers.
| Dimension | Classic SEO | Generative Engine Optimization (GEO) |
|---|---|---|
| Goal | Good rankings in search engines | Appear as a source in answers |
| Visibility | Placement in search results | Part of the answer itself |
| User behavior | Users click on links | Users get direct answers |
| Content | Optimized for keywords | Built for questions and context |
| Selection principle | Search engine lists results | AI actively selects content |
| Role of the brand | Website gets found | Brand gets named or recommended |
| Measuring success | Rankings, traffic, clicks | Mentions and presence in answers |
Search engine optimization (SEO) makes web pages visible in search results. Generative Engine Optimization (GEO) aims to prepare content so it is understood by AI systems and considered in answers. GEO thus changes the very logic of how visibility is created.
For content to appear in generative answers, it has to be built differently than classic website content. What matters are clear structures, unambiguous statements and clean thematic classification – so single statements can be quickly captured, understood and placed in a concrete context by AI systems.
For content to be considered, it has to be accessible to AI systems: fast loading times, stable server responses and a clean technical structure. Access for different AI user agents also decides whether content is captured and included in answers at all.
Generative systems always factor in who stands behind the content. The more clearly a brand can be assigned to a topic and the more consistently it appears, the more likely it is to be considered as a trustworthy source in answers.
Visibility is increasingly shifting from search results into direct answers. As a specialized GEO agency in Berlin, we combine strategy, content and technical structure into a system that positions content as a source in generative answers – an approach often discussed as LLMO (Large Language Model Optimization).
GEO is structured and measurable – not a buzzword. Our audit evaluates five areas of AI readiness.
Success in GEO does not show in classic metrics alone, but in new metrics that make influence in AI answers measurable.
Share of Citations
How often content is used and cited as a source – an indicator of authority.
Share of Mentions
How often the brand is named in AI answers – even without a link.
Source Analysis
Which sources and domains AI systems prefer to use.
Sentiment
How the brand is portrayed in answers – positive, neutral or negative.
AI Conversions
Whether visibility has impact – clicks, leads or enquiries from AI systems.
Brand Search Lift
Whether more users actively search for the brand – an effect of rising AI visibility.
Presence in generative AI systems cannot be steered with classic SEO tools alone. What matters is the combination of analysis, technical data and a direct understanding of how AI systems capture, evaluate and use content.
We consistently think SEO and generative AI together – visibility is created in search results and directly in answers.
A clearly structured workflow, developed from our project work and the requirements of generative AI systems.
A thorough analysis of existing content, technical foundations and current visibility in AI systems. This reveals where potential exists and where to start.
We define which topics, content and measures have the greatest impact on visibility – focused on fast effect and sustainable expansion.
Content is created so AI systems can understand it and use it in answers. Clear structures and clean thematic classification ensure targeted use.
We create the technical foundation so AI systems reliably capture content: clean structures, fast loading times and clear accessibility.
Visibility in generative answers is not a static state. Through continuous analysis and targeted adjustments, presence grows where it really counts.
GEO unfolds its potential in interplay with content, strategy and technology. In our AI service cluster you'll find every area where we deploy AI deliberately.
Generative Engine Optimization (GEO) describes the deliberate optimization of content so it is used as a source in generative AI systems like ChatGPT, Perplexity or Google Gemini. Unlike classic SEO, it is not only about rankings, but about becoming part of the answer.
SEO aims to make web pages visible in search results. GEO ensures content appears directly in generative answers – as a mention, citation or recommendation. The focus shifts from rankings to being selected as a relevant source.
Visibility is created in systems like ChatGPT, Perplexity, Google Gemini and Microsoft Copilot. These access various data sources and integrate content directly into their answers.
AI systems evaluate content in the context of a concrete question. What matters is structure, clarity, thematic classification and the perceived trustworthiness of the source. Only content that is clearly phrased and technically accessible is considered in answers.
Content must be accessible and processable for AI crawlers. That includes fast loading times, a clean HTML structure, working crawlability and access for relevant AI user agents.
First effects can appear quickly, especially with existing content on a good foundation. Sustainable visibility in generative answers, however, builds up gradually and depends on topics, competition and starting situation.
