With GEO, LEAP is developing the new AI search landscape into a profitable growth channel:
more presence in AI & LLM responses, more referral traffic and more revenue there,
Where decisions will be made in the future.
Search is rapidly shifting from traditional search engines to generative AI response systems. Users get answers — not search results. Brands that include not be named, linked or quoted, lose visibility, trust, and revenue.

Generative AI systems such as ChatGPT, AI Overviews or Perplexity today significantly influence which brands are seen, named and recommended. Purchasing decisions are increasingly made before the first website visit, within AI answers. For decision makers, this creates a central problem: Visibility, brand perception and customer acquisition are shifting to systems that are barely controllable and rarely measurable without dedicated processes. Because good SEO guarantees no presence in AI answers.
This is exactly where Generative Engine Optimization (GEO) from LEAP comes in. Our experts make AI visibility transparently measurable and strategically controllable in order to give companies maximum control over growth, brand and competition, even in AI-driven search.
That's why market leaders rely on GEO
by LEAP
LEAP uses leading GEO expertise and AI technologies to make brands more visible, citable and relevant in generative response systems — for scalable growth and measurable competitive advantages in all AI response systems relevant to you.
Competitive advantages through AI visibility
LEAP's GEO framework anchors AI visibility as a strategic growth lever. The proprietary LEAP GEO framework combines over 150 service components to make brands visible, citable and relevant to sales in generative AI systems at an early stage.
How LEAP is successful for AIs
and LLMos optimizes
At LEAP, GEO is an independent discipline, which is our SEO expertise holistically combines with the conditions of AI search: with specific GEO audits, own KPIs and AI growth roadmaps, based on the proprietary LEAP GEO framework with around 150 service components for maximum efficiency and speed in gaining revenue-relevant visibility in leading AI response models such as ChatGPT, Gemini, Perplexity or Claude.
> 95%
LEAP's SEO customers are already producing measurable competitive advantages via GEO & LLMO
LEAP helps market leaders precisely scale their digital growth — with proven results in the millions.
LEAP has reversed the negative trend in our SEO KPI's in a short period of time. We are now growing by 45 percent again year on year. The investment paid off for us

Adrian Rog
e-commerce manager

More clicks
Master category pages rank in positions one through three for relevant keywords.
In an individual strategy discussion, our experts identify key growth levers and show you how GEO & LLMO can plan to maximize your profitability.
GEO is the optimization of content for generative AI systems such as Google Gemini, ChatGPT, Perplexity or Claude. The goal is no longer a classic ranking in a link list, but the visible integration of your brand directly into the AI response — as a recommendation, quote or source. GEO shifts your visibility to where decisions are made today and in the future: in the generated answers themselves.
User behavior is changing. People aren't looking for links anymore, they're looking for answers. AI-generated results appear at the top of search results and influence decisions before the user even scrolls. If you don't show up there, you lose visibility and sales potential. GEO is thus becoming a central growth lever.
No, it complements and extends it. SEO remains the technical basis without which generative systems cannot understand content. GEO builds on this by structuring content in such a way that it is particularly understandable, citable and trustworthy for LLMs. SEO and GEO together create maximum visibility in the “old” and new search worlds.
SEO optimized for search algorithms: keywords, backlinks, page speed.
GEO optimized for language models: entities, context, fact density, logical structure, and RAG friendliness. While SEO evaluates what is on a page, GEO assesses how well machines can interpret and incorporate this information.
The factors that LLMs prefer are important: 1. Quotes and sources that verify facts. 2. Clear authority as an entity (expertise, identity, recognizability). 3. Structured, precise answers without an unnecessary amount of text. 4. Linguistic clarity that facilitates machine processing. Studies by LEAP and leading technology providers confirm: AI models choose sources that are reliable, clearly structured and easy to interpret.
Three steps are essential:
Agentic AI systems will soon carry out independent research and prepare purchasing decisions. GEO is the basic requirement for being included in this decision-making process in the first place. Shops and websites that are difficult for AI to read are not included — regardless of how good the product or price is.
Now The major platforms are already switching to AI-based response systems. Because LLMs need time to build authority and learn brands, companies that start early benefit disproportionately. Getting started early is a strategic advantage.
Classic rankings are no longer enough. Among other things, we look at: the share of model: how often a brand appears in AI responses, traffic from AI sources such as ChatGPT, Perplexity or Google AI Overviews, the strength of the brand entity: How clearly models recognize your brand as an authority. In doing so, we make GEO visible, measurable and controllable — and thus an integral part of your growth strategy.