Brands are losing visibility because they rely on click-based attribution in a world moving toward answer engines. Daniel Kazani speaks with Malte Landwehr, CPO and CMO of Peec AI, about the reality of AI search. Malte explains why 25% of leads might come from LLMs even when tracking software shows 0%. They discuss the transition from SEO to GEO, why static dashboards are disappearing, and the hard truth that average marketing work is becoming valueless.

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Guest Bio

Malte Landwehr is the Chief Product Officer and Chief Marketing Officer at Peec AI. He has over 20 years of industry experience, including roles as VP of SEO at idealo and VP of Product at Searchmetrics. Peec AI helps marketing teams understand and optimize their visibility in LLM-based search engines.

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What We Cover

1. Why click-based tracking fails to capture the user journey inside ChatGPT and Perplexity.
2. The specific role of "grounding sources" such as Reddit, YouTube, and LinkedIn in AI responses.
3. How Peec AI simulates user behavior to track brand mentions and sentiment.
4. The shift from static data dashboards to on-demand AI chat interfaces.
5. Why is average marketing becoming free while top-tier marketers become exponentially more effective?
6. The challenge of finding product managers with strong product taste in Europe.

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Resources Mentioned

1. Peec AI
2. Malte Landwehr (LinkedIn)
3. Daniel Kazani (LinkedIn)
4. ChatGPT
5. Perplexity
6. Google Gemini
7. Granola
8. HubSpot

Learn more about facial vital sign detection: shen.ai & caire.ai

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Healthcare has historically lagged in digitalization, creating a significant opportunity for artificial intelligence to jump-start the industry. Host Daniel Kazani sits down with Dr. Lucas Mittelmeier, an investor at Heal Capital, to discuss why the sector's heavy administrative burden makes it a prime target for disruption. They explore the reality of "Shadow AI," where physicians bypass slow hospital IT systems to use tools like ChatGPT for daily tasks. Lucas explains how the industry is splitting into two distinct speeds: highly regulated clinical tools and agile administrative workflows. The conversation also highlights cutting-edge innovations, including facial analysis software that reads vital signs via a camera and vocal biomarkers that detect heart failure.

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Guest Bio

Dr. Lucas Mittelmeier is a physician-turned-investor at Heal Capital, a leading European healthtech venture capital firm. With a background bridging clinical medicine, strategy consulting, and startup leadership, he evaluates companies through both medical and business lenses. He is also the author of the Healthtech Off The Record newsletter, where he provides data-driven analysis of industry trends. At Heal Capital, he focuses on sourcing and leading deals from Pre-Seed to Series A.

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What We Cover

1. Why the lack of legacy digital infrastructure in healthcare might actually accelerate AI adoption.
2. The phenomenon of "Shadow AI" and why doctors are using consumer tools despite strict hospital regulations.
3. How administrative AI is moving faster than clinical diagnostic tools due to lower regulatory barriers.
4. The potential for "facial parameters" in which video can detect heart rate, blood pressure, and oxygen saturation.
5. Using vocal biomarkers to identify conditions like heart failure by analyzing fluid buildup in the lungs.
6. How typing patterns on a keyboard can serve as early indicators for depression.
7. Why specialized "AI Therapist" startups have struggled to compete with general Large Language Models.
8. The four key moats for healthtech startups: data advantages, network effects, deep customer service, and brand trust.

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Resources Mentioned

1. Heal Capital
2. OpenAI (ChatGPT)
3. Anthropic...

AI Trends in Germany - Presentation (PDF) — Follow along with the data discussed in this episode

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Germany currently faces a distinct tension between its technical potential and actual financial commitment to artificial intelligence. While the country ranks high in AI skills and research, private investment stands at just 1.8 billion euros, compared to over 62 billion in the United States. Host Daniel Kazani sits down with Stephan Fricke to examine the reality behind these numbers and what they mean for the German market.

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Stephan breaks down the data on Germany's current 45,000 AI specialists and the projected gap of nearly 180,000 by 2032. They discuss why customer contact centers are seeing 88% of implementations and how manufacturing giants like BMW and Siemens are using AI for practical quality assurance. The conversation also covers the critical role of strategic partnerships and outsourcing in bridging the talent shortage that domestic training alone cannot solve.

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👤 Guest Bio

Stephan Fricke is the CEO of the Deutscher Outsourcing Verband e.V. (German Outsourcing Association) and the Deutscher Process Automation Verband. Since 2010, he has focused on bridging the gap between German business culture and global innovation hubs. Through industry publications such as the Outsourcing Journal, Stephan shapes the narrative around Global Business Services and advocates for diversifying sourcing destinations to address the talent crisis in the DACH region.

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📌 What We Cover

1. The estimated 60 billion euro market volume for AI services in Germany in 2025.
2. Why 88% of German companies implementing AI start with customer contact and chatbots.
3. The massive gap in private AI investment: 1.8 billion euros in Germany versus 62.5 billion in the US.
4. How Germany compares globally in terms of infrastructure, with a notable lack of data centers.
5. The talent crisis: Moving from 45,000 specialists today to a need for 180,000 by 2032.
6. Why Softup and similar partners are becoming essential for companies unable to find local talent.
7. Specific manufacturing use cases for AI: From predictive maintenance at Siemens to quality assurance at BMW.
8. The regulatory hurdles and slow government strategies are affecting European competitiveness.

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🔗 Resources Mentioned

1. Deutscher Outsourcing Verband e.V. (German Outsourcing Association)