
The Ross Simmonds Show
RSS 66: AI Visibility for Modern Marketers: Malte Landwehr on How to Measure LLM Search and Win More Brand Mentions
In this episode of The Ross Simmonds Show, Ross sits down with Malte Landwehr, CMO of Peec.ai, to unpack what AI visibility really means for modern marketers and how it differs from traditional SEO. They break down how brands can measure LLM visibility, identify the right prompts to track, prioritize the channels that influence AI answers, and build a smarter cross-functional strategy to win recommendations in tools like ChatGPT, Perplexity, Gemini, and more. Key Takeaways and Insights: 1. AI Visibility vs Traditional SEO - Traditional SEO was built around earning clicks and website traffic, while AI search is increasingly about getting your brand recommended inside the answer. - In AI-driven search experiences, users may never visit your site, which changes how marketers think about attribution, brand experience, and customer journeys. - Malte explains why this shift impacts not just SEO teams, but also content, brand, support, PR, affiliate, and product documentation teams. 2. How to Measure AI Search Performance - Malte outlines four core ways to measure AI visibility: self-reported attribution, web analytics, log file analysis, and prompt tracking. - Self-reported attribution is a strong starting point for teams trying to validate whether LLMs are already influencing pipeline and revenue. - Prompt tracking stands out as the most actionable measurement method because it helps marketers spot content gaps, benchmark competitors, and prioritize next steps. 3. Prompt Tracking and Strategy That Actually Works - The best prompt strategies start with topics, intent, personas, and funnel stage rather than obsessing over exact wording. - Real-world testing shows that people use many different prompts, but LLMs often return similar brand recommendations when the underlying intent is the same. - Malte warns marketers not to overreact to tiny data sets or short-term fluctuations, and instead evaluate performance directionally across prompt sets over time. 4. The New Playbook for AI-Era Content Distribution - LLMs pull from a wide range of sources, including help centers, FAQs, social content, news sites, directories, review platforms, and community discussions. - Brands need consistent positioning across all managed and owned surfaces so AI systems can clearly understand and describe what the company does. - Smart teams use source-level visibility data to decide where to invest, whether that means digital PR, creator partnerships, editorial placements, review platforms, or competitor-inspired content. 5. Agentic Commerce and the Future of Marketing Workflows - Malte shares why agentic commerce will likely arrive faster in B2B procurement and operational workflows than in emotional consumer purchases. - He also explains how AI tools and MCP integrations are changing the software experience, allowing marketers to work through AI interfaces instead of traditional dashboards. - For early-career marketers, his advice is clear: become AI-native, use AI first to solve problems, and build the habit of testing, iterating, and learning fast. Resources & Tools: Peec.ai — Let's stay connected — ╰ Subscribe to my channel: @RossSimmondsTV ╰ Instagram: @thecoolestcool ╰ Twitter / X: @thecoolestcool ╰ LinkedIn: linkedin.com/in/rosssimmonds — Connect with Malte — ╰ Instagram: @malte.landwehr.official ╰ Twitter / X: @MalteLandwehr ╰ LinkedIn: linkedin.com/in/landwehr/






