What signal do you trust when evaluating AI search visibility

from Voices of Search // A Search Engine Optimization (SEO) & Content Marketing Podcast

AI search visibility tracking faces a 70% attribution gap compared to traditional SEO metrics. Malte Landwehr, CMO and Chief Product Officer at Peak AI, has developed systematic approaches for measuring discoverability across AI-powered search platforms where conventional traffic data falls short. The discussion covers self-reported attribution methodologies for capturing AI-driven conversions and prompt diversification strategies that leverage customer support data, sales transcripts, and user behavior patterns to optimize for topic clusters rather than individual queries.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

What this episode covers

AI search visibility tracking faces a 70% attribution gap compared to traditional SEO metrics. Malte Landwehr, CMO and Chief Product Officer at Peak AI, has developed systematic approaches for measuring discoverability across AI-powered search platforms where conventional traffic data falls short. The discussion covers self-reported attribution methodologies for capturing AI-driven conversions and prompt diversification strategies that leverage customer support data, sales transcripts, and user behavior patterns to optimize for topic clusters rather than individual queries. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

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What signal do you trust when evaluating AI search visibility

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This episode is 1 minute long.

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This episode was published on March 13, 2026.

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