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

Nearly nine in ten B2B buyers have adopted generative AI across their buying process. Jeff Reine, co-founder at Everything Machines, brings two decades of enterprise marketing experience and has built Everything Cache, a brand-side infrastructure that makes websites readable for LLM crawlers without rebuilding human-facing sites. He breaks down the shift from search-and-discover to ask-and-answer behavior, explains why measurement alone isn't sufficient for AI-first discovery, and details the infrastructure framework needed when your first audience isn't human anymore.
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B2B marketers struggle with dark funnel attribution challenges. Chris Golec, CEO and founder of Channel99 and former Demandbase founder, explains how to solve marketing attribution problems that misallocate millions in revenue. The discussion covers Channel99's multi-source approach using smart pixels, API integrations, and CRM connections to reveal three times more website visitor sources than industry standards. Golec demonstrates how AI-powered decision engines can generate strategic media plans in seconds by analyzing account-level engagement costs across channels like LinkedIn organic social and display advertising.
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Most companies lack systematic approaches to measure AI-driven search visibility beyond traditional traffic metrics. Malte Landwehr, CMO and Chief Product Officer at Peak AI, shares proven methodologies for evaluating discoverability across AI-powered search platforms. The discussion covers self-reported attribution frameworks for tracking AI-generated leads, prompt diversification strategies that account for user intent variations across sales funnel stages, and systematic visibility monitoring approaches that aggregate data across multiple prompts rather than relying on single-query assessments.
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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.

73% of brands struggle to measure AI-driven search visibility effectively. Malte Landwehr, CMO and Chief Product Officer at Peak AI, shares proven methodologies for tracking discoverability beyond traditional traffic metrics. He outlines self-reported attribution frameworks for measuring AI search impact and systematic prompt selection strategies that leverage existing customer data from support tickets, sales transcripts, and website interactions to optimize for multiple personas across different funnel stages.
See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.