AI Optimization: how GEO and LLMO Work

The Terms GEO (Generative Engine Optimization) or LLMO (Large Language Model Optimization) Describe all Strategies and Measures to Help a Company Gain more Visibility in AI Systems. The Result: more Traffic, Leads, and Sales.

Is my brand mentioned? What sources does the AI use? What are the levers for more AI visibility?

Visible in ChatGPT, Gemini Co.: your GEO Roadmap

AI visibility is a completely new field in marketing. It’s about when and how companies are mentioned in AI systems like ChatGPT, Copilot, AI Mode, and other platforms.

The background: AI systems are currently migrating into all platforms and devices. It is expected that soon billions of users worldwide will want to get information from AI systems – about topics, products, and services relevant to them.

First, a language model cannot be easily manipulated. Companies face the task of proving their relevance in a specific topic area. Then they will also be mentioned and recommended by the AI.

Prompt Research

More and more users are directly asking AI systems like ChatGPT for product recommendations – for example: “What is the best power bank for travel?” The results are compact, often limited to four to five options, and structured according to specific use cases (“best for frequent travelers,” “best with solar charging,” etc.). To appear in this selection with your product, you need to understand how AI responds to prompts – and how to integrate relevant decision factors into the query.

Prompt Research therefore aims to analyze typical user questions and develop precise prompts that reflect real purchasing motives. Instead of optimizing for a general “best headphones,” the query should be specific – for example: “best wireless headphones for jogging in the rain.” The clearer the prompt, the more targeted the AI’s product recommendation. This opens new avenues to gain visibility beyond traditional search engines with Generative Engine Optimization (GEO).

Best Search Query ChatGPT Search Result Example

GEO Monitoring

GEO Monitoring checks how often and in what context a company or its products are mentioned in responses from generative AI systems like ChatGPT. Tools like Peec AI use defined prompt sets to determine an industry ranking: companies are evaluated based on how often they appear in the queried AI responses and what sources the AI refers to. Furthermore, analysis can be done down to the prompt level to see where the brand name appears – which allows conclusions to be drawn about the visibility and prioritization mechanisms of AI models.

Frequently mentioned domains such as manufacturer websites, comparison portals, or editorial contributions show which content is currently considered trustworthy. Companies can specifically deduce from this where they need to be present with their content to be considered by the AI. LLMO monitoring thus provides not only visibility data but also concrete approaches for content strategy and AI optimization – for example, by targeted building of mentions on domains that serve as sources for generative responses.

KI Monitoring Software PeecAI Beispiel Chart

New Content for the LLMO World

In the new AI-driven search world, generic SEO content is no longer enough to remain visible. Many contents are interchangeable because they offer no real substance or genuine perspective. AI systems themselves are capable of reproducing general information. They only resort to trustworthy, content-rich sources that provide real relevance. Companies that continue to work with standardized content risk simply not appearing in AI responses.

First-hand experience content, based on personal experiences, real processes, or direct customer contact, is completely different. This can include practical checklists, project reports, or expert assessments. Such content builds trust, clearly stands out from generic content, and is rated as more useful by AI systems. It is therefore not only more resistant to interchangeability but also specifically increases the chance of appearing as a relevant source in generative AI responses.

First Hand Experience Content

Technical GEO: Keeping an Eye on AI Crawlers

To understand the AI visibility of websites, it is no longer sufficient to use classic metrics like organic traffic or rankings. Logfile analyses are gaining importance instead: they show which AI bots (e.g., ChatGPT crawlers) access which pages how often and which content is actually processed in the AI. Only with this direct access to bot interactions can conclusions be drawn about which content is perceived and prioritized by AIs – an indispensable lever for effective GEO/LLMO.

On this basis, the KPI framework must be expanded. In addition to traditional traffic figures, specific AI metrics are needed: for example, an AI Citation Score, which measures how often one’s own content appears in AI responses. Together with logfile insights (bot hits, crawl patterns), this creates comprehensive monitoring that directly shows whether and how one is present in generative AI systems – and where technical or content-related adjustments need to be made for optimization.

KI Crawler Statistik

GEO for Google: the AI Mode

Google AI Mode represents a fundamental reorientation of search: users switch to a chat interface via a separate tab, where they can enter complex prompts and directly ask further questions. Unlike classic search results, this mode combines generative AI with a so-called “query fan-out” – the AI performs numerous sub-queries across the web, aggregates the information, and presents a comprehensive answer, supplemented by sources on the right side of the interface. In the USA and India, AI Mode is already live.

This new form of search will sustainably change SEO and marketing: traffic volume will decrease, but visitors will presumably be more qualified. In the future, it will be crucial not to produce standardized or AI-generated content, but to offer valuable content with genuine expertise. Fundamentally, successful GEO strategies will be able to improve visibility in AI Mode, as well as in all other AI systems.

Was ist der AI Mode

Current Analyses and Developments on GEO, LLMO, and AI Optimization