Today, B2B decision-makers research solutions not only through classic Google results, but also in ChatGPT, Perplexity, and Google AI Overviews. As a GEO agency for technology companies, we create the conditions so that your expertise is traceable, findable, and linked to reliable sources there.
To achieve this, we combine technical SEO, decision-relevant content , and visibility in trade media to build your digital credibility.
Generative Engine Optimization, or GEO for short, describes measures that companies use to make their content more usable for AI-powered search and answer systems. These include understandable and verifiable information on the website, a clean technical foundation, consistent brand and product facts, as well as credible mentions in relevant sources.
AI systems do not rely on a single source. They process website content, structured facts, external mentions, and recurring expert classification. That is why we do not treat GEO as an isolated technical task. What matters is whether your expertise is recognizable across multiple credible signals.
We restructure your website content so that AI crawlers can interpret it without errors. This includes clear question-answer structures (GAIO), machine-readable schema markup (JSON-LD), and a high density of facts instead of marketing phrases. At the same time, we ensure the regular publication of AI-optimized, high-quality expert content on your site.
Learn more about our work as a B2B content marketing agency.
ChatGPT doesn't believe what you say about yourself – it believes what others write about you. Through strategic trade press work, we generate the external citations that AI systems need as proof of your relevance.
Learn more about our work as a B2B PR agency.
AI systems evaluate the authority of authors. We position your C-level experts on LinkedIn and in industry media to set strong entity signals for the algorithms.
Learn more about our work as a B2B social media agency.
While classic SEO optimizes your website for search engine crawlers, Generative Engine Optimization (GEO) ensures that language models (LLMs) understand your company as a trustworthy solution and actively recommend it. We make your expertise readable for AIs.
We first check which questions and solution scenarios your company should be relevant for. To do this, we look at your existing content, the topics of your target audience, and the sources that already provide orientation in your industry. This does not result in an abstract AI report, but rather a prioritized plan.
After that, we determine which questions your website must answer, which topics are suitable for expert articles or PR, and which experts can contribute a credible perspective. Owned, Earned, and Social are not separate channels here, but rather different evidence of the same expertise.
Own statements are rarely enough for complex B2B offerings. We develop topics, expert articles, and expert positioning that are connectable in industry media, on LinkedIn, and in other suitable professional environments. The goal is not as many mentions as possible, but consistent, professionally sound classification.
We support the publication, structural preparation, and ongoing optimization. In practice, it often only becomes apparent after a few weeks which topics are picked up by AI systems and external sources. That is exactly where we follow up.
GEO is particularly useful when an offering requires explanation, multiple people are involved in the purchasing decision, and prospects conduct intensive research before the initial contact. This applies, for example, to software and IT providers, industrial companies, providers of automation and logistics solutions, as well as greentech companies.
A GEO initiative is less useful when key product information, technical SEO fundamentals, or positioning are still unclear. In that case, we start with these fundamentals instead of prematurely optimizing for visibility in AI answers.
The terms describe related perspectives on the same change. GEO stands for visibility in generative search and answer systems. AEO, Answer Engine Optimization, focuses particularly on direct answers to specific questions. LLMO, Large Language Model Optimization, emphasizes classification by large language models. GAIO is often used for the structured preparation of information for AI interfaces.
In practice, the term itself is less decisive than the quality of the foundation: understandable information, clear entities and product facts, robust specialist content, technically cleanly accessible pages, and external sources that verifiably support expertise.
What does a GEO agency do?
A GEO agency optimizes a company's digital presence specifically for AI-based answer engines such as ChatGPT, Perplexity, or Google AI Overviews. The goal is not ranking in a link list, but being directly mentioned as a trusted solution within an AI-generated answer.
What is the difference between SEO and GEO?
SEO and GEO overlap. Both require understandable content, a technically clean website, and credible external signals. SEO primarily focuses on how content is found and ranked in classic search results. GEO expands this perspective: it also involves whether answer systems can extract the relevant facts, correctly assign them, and use them in a recommendation or explanation. A good GEO strategy therefore does not replace SEO. It builds on a solid SEO foundation and supplements it with content, source work, and clear entities.
How quickly do GEO measures take effect?
That depends on the starting point. Structural improvements to the website can be implemented relatively quickly. For topics to regularly appear in AI answers, it usually takes more: relevant content, recognizable expertise, and external sources that support a topic. Initial changes can become visible after a few weeks. However, companies should plan for several months for reliable patterns. GEO is not a one-time optimization, but consistent work on digital credibility.
Do I need a new website for GEO?
A GEO agency works with your existing website. The content is structurally adapted (e.g., through machine-readable formats and clear question-answer blocks) and flanked by external measures such as strategic B2B PR to gain the trust of AI models.
What is the difference between GEO, GAIO, and LLMO?
The terms describe closely related approaches. GEO, or Generative Engine Optimization, refers to strategic visibility in AI-powered answer systems. LLMO, Large Language Model Optimization, places greater emphasis on optimization for large language models. GAIO is often used for preparing content and data for AI interfaces. For practical work, the distinction is less important than the question of whether website, content, experts, and external sources present a coherent picture of your expertise. At EPOS, we connect these levels.
For which companies is GEO particularly worthwhile?
GEO has the greatest impact on B2B companies with products or services that require explanation – that is, wherever decision-makers actively research solutions before contacting a provider. Technology companies, consultancies, SaaS providers, and specialized industrial companies whose target audience intensively uses AI search systems benefit particularly.
Can a GEO agency guarantee mentions in ChatGPT or AI Overviews?
No. AI systems and search interfaces regularly change their sources, models, and presentation. Serious GEO work improves the conditions for understandable, verifiable, and findable content, but does not promise any individual mention or position.
How do you measure GEO in B2B?
We combine classic search data such as impressions, rankings, and qualified traffic with regular monitoring of prioritized questions, relevant mentions, referral traffic, and the use of the content in sales. Which metrics matter depends on the business model and the purchasing decision.
Does GEO need schema markup?
Structured data can help search engines classify content more clearly. However, it is not a substitute for clear, visible content and does not automatically lead to an AI mention. Markup must always match the actual page content.
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