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AI Search & GEO Visibility Analysis

Data-driven strategies for your brand in AI search

Making AI Search, GEO Visibility & Zero-Click Performance Measurable

How visible is your brand in the world of AI-based search when users hardly click on links anymore and see increasingly fewer traditional rankings? What happens when traditional SEO mechanisms, which have worked so well for you so far, are replaced?

Google AI Overviews, ChatGPT, Perplexity, Claude, and other systems are fundamentally changing how people find information and how companies present themselves online. AI-generated results and brand mentions, as well as links in AI responses, are more and more determining the customer journey. To be successful today, you need new metrics and KPIs, the right tools, data integration and a clear understanding of how visibility works in AI search.

We show you how to analyze your brand’s performance in AI search, strategically integrate GEO/AEO data, and make the most of zero-click results.

Webinar: AI Search Visibility

AI search is changing Brand Awareness, Website traffic and user behaviour. Our webinar focuses on how organisations and companies should act upon it now.

Our services at a glance

Leistung 1

KPI Framework Setup

Together with your team, we define the most important metrics for AI Search and tailor them to your company, e.g.:

  • AI Visibility: How often and where does your content appear in generative search results such as Google AI Overviews, ChatGPT, or Perplexity?
  • Brand presence and representation: Is your brand explicitly mentioned? How is it represented and in what context is it used by AI systems?
  • Zero-click performance: How does your content perform in clickless searches?
Leistung 2

GEO Data Integration

With Generative Engine Optimization (GEO), you prepare your data specifically for AI-based search systems such as Google AI Overviews, ChatGPT or Perplexity. We connect visibility data from tools such as Peec or Otterly to your existing data sets via API and integrate it into a consistent data model. We advise and support you every step of the way: from tool selection to technical implementation. This lays the foundation for your brand to appear correctly and remain visible in generative search results.

Leistung 3

Customized reports & dashboards

We visualize your KPIs in a customized web performance dashboard with a focus on SEO and AI search, e.g., in Power BI, Tableau or Omni. All relevant data at a glance:

  • Brand visibility development in SEO and AI search
  • SEO ranking vs. AI overview coverage
  • Behavioral data (visits, CTRs, interactions), and much more
Leistung 2

Monitoring & Insights

We continuously analyze your visibility with regard to:

  • Which prompts lead to visibility?
  • Which content influences your visibility?
  • How do your competitors perform in the AI environment?

You will regularly receive specific recommendations for action that are data-based, understandable and directly implementable.

Leistung 5

TRAINING & SUPPORT

Our training and support services provide your team with the knowledge and skills required to use the platform effectively. Our team can deliver training at our training center in Schliersee, at your site or via web conferencing. We train both users and specialists in the use of Adobe tools.

6

AI Mentoring

Our mentoring on artificial intelligence offers you personal sparring and strategic dialogue on AI search, GEO/AEO visibility, and zero-click performance. We think along with you, provide inspiration and offer practical support for the implementation of your projects: from KPI strategy to tool integration and the setup of dashboards and reports.

Why Hopmann Marketing Analytics?

With nearly 20 years of experience in marketing analytics and data-driven strategy consulting, we are continuously refining our services based on current trends and the specific requirements of our clients. Our team specializes in AI-specific KPIs, generative engine optimization performance and visibility analyses in modern search systems. We combine technical expertise with strategic enablement and offer everything from a single sourc: from consulting and data integration to dashboards, workshops, and operational implementation.

FAQ on AI Search

What are AI Search KPIs?

AI Search KPIs measure how visible a brand or content is in generative search results—for example, in Google AI Overviews, ChatGPT responses, or local AI boxes. These include visibility reach, brand mentions, positioning in snippets, and zero-click interactions.

What does GEO mean in the context of AI?

GEO stands for Generative Engine Optimization. It describes the optimization of content, data, and brand presence for AI-based search systems such as Google AI, Perplexity, or ChatGPT. The goal is to be displayed correctly, visibly and preferentially in generative responses.

Which tools help with analyzing AI visibility?

Relevant tools include Peec and Otterly, Google Business Profile Insights for local signals and classic SEO tools such as SISTRIX or Semrush as additional sources. It is crucial to combine these intelligently with your existing data sources in order to get a full picture of your success.

How are generative search systems changing SEO?

Traditional rankings alone are no longer sufficient. Content must be prepared in such a way that it can be recognized, understood and meaningfully integrated by AI systems such as Google AI Overviews, ChatGPT or Perplexity. This requires new KPIs, structured data and targeted optimization for generative responses.

What is zero-click performance and why is it important?

Zero-click performance describes the visibility and impact of your content in search results where users no longer visit a website. For example, in AI-generated snippets, maps or answer boxes. These interactions are increasingly crucial for brand perception and visibility, even without a direct click.

How do traditional search engines differ from LLM-based systems?

Search engines such as Google index the web in real time, analyze links and evaluate pages based on relevance signals such as keywords, backlinks or structure. LLMs (large language models) such as ChatGPT, Claude or Perplexity are based on a previously trained language model. They draw on large amounts of data that they have processed during training and use this as a basis to generate new, linguistically formulated responses. This happens without necessarily accessing current live content.

How do large LLMs and the models behind them differ?

LLMs such as GPT-4 (OpenAI), Claude (Anthropic), Gemini (Google DeepMind) and Mistral differ in terms of training data, model architecture, scaling and access options. Some are more optimized for dialogue-oriented responses, others for research or data compression. The ability to incorporate current information (e.g., via browsing or API connection) also varies. For companies, it is important to know which systems are particularly suitable for which type of search behavior, for example, for placing brand information or for visibility analysis.

Get in touch

Constanze Bogner

Constanze Bogner
Senior Digital Analytics Specialist