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

Latest Episodes:

The biggest mistake brands make when they treat LLM optimization like SEO Mar 18, 2026

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Most brands fail when treating LLM optimization like traditional SEO. Jeff Reine, co-founder at Everything Machines with two decades in enterprise marketing and platform strategy, has developed Everything Cache to make websites readable for LLM crawlers without rebuilding human-facing sites. The discussion covers why LLM bots behave fundamentally differently from Googlebot and the strategic framework for optimizing content for AI systems versus traditional search engines.

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How to stay motivated to keep building Mar 17, 2026

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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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How LLMs Are Rewriting the B2B Discovery Journey Mar 17, 2026

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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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The clearest sign a company is not ready for AI-driven discovery Mar 14, 2026

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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.

See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

What signal do you trust when evaluating AI search visibility Mar 13, 2026

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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.

Where should brands actually invest today? Mar 12, 2026

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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.

The most dangerous thing tools encourage when they automate content at scale Mar 11, 2026

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AI content automation creates a dangerous disconnect between brand messaging and user intent. Malte Landwehr, CMO and Chief Product Officer at Peak AI, shares proven methodologies for maintaining content authenticity while scaling AI-driven search strategies. The discussion covers self-reported attribution frameworks for measuring AI discoverability beyond traditional traffic metrics, prompt diversification strategies that leverage real customer language from support tickets and sales transcripts, and topic-based visibility measurement approaches that account for multiple user 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.

One SEO habit teams need to unlearn immediately Mar 10, 2026

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Most SEO teams obsess over individual AI prompts instead of topic clusters. Malte Landwehr, CMO and Chief Product Officer at Peak AI, advocates for self-reported attribution as the most reliable signal for measuring AI discoverability success over traditional traffic metrics. He outlines a systematic approach to prompt research using customer support tickets, sales transcripts, and website search data to understand authentic user language rather than vendor terminology. The discussion covers topic-based prompt clustering strategies and multi-persona funnel optimization for comprehensive AI visibility measurement.

See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

SEO Under Siege: 2025’s Collapse of Google Traffic Mar 09, 2026

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Organic traffic dropped 40% in 2025 as AI search reshapes discovery. Malte Landwehr, CMO and Chief Product Officer at Peak AI, brings enterprise experience from Idealo (Europe's largest price comparison site) and deep insights from reverse-engineering ChatGPT's shopping functionality. The discussion covers grounding optimization strategies that influence AI model source selection, measurement frameworks replacing click-based attribution with self-reported data and visibility tracking, and multi-platform authority building across Reddit, YouTube, and third-party sources that AI models consistently cite for commercial queries.

See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Change this NOW or you'll regret it in 3 years Mar 07, 2026

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Fewer than one in four companies have redesigned their workflows to capture value from AI. Stephen Wunker, Managing Director at New Markets Advisors, has advised Fortune 500 companies like Microsoft and Meta through AI transformation challenges that go far beyond technology adoption. The discussion covers his "octopus organization" framework for distributing intelligence across teams, the three diagnostic questions that reveal AI readiness (what humans won't, shouldn't, and can't do), and why successful AI implementation requires cross-functional champions rather than traditional project management approaches.

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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