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Dive deep into the ever-changing world of content and search engine marketing. Discover actionable strategies and learn ways to gain insights through data that will help you navigate the topsy-turvy world of SEO.

Enterprise marketing teams waste 53% of their go-to-market spend chasing outdated buyer behaviors. Liza Adams, AI Advisor and Go-to-Market Strategist at Growth Path Partners, brings two decades of CMO-level experience from companies like Pure Storage and Smartsheet to address this crisis. She introduces the visibility-sentiment-recommendation framework for AI search optimization and outlines the three-layer trust architecture that determines whether brands get recommended for the right customer problems. Adams also presents her "people-first AI forward" methodology for cross-functional transformation that prioritizes upskilling over workforce reduction.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Go-to-market efficiency has declined from 78% to 47%. Liza Adams, AI Advisor and Go-to-Market Strategist at GrowthPath Partners, brings 25+ years of CMO-level experience across Silicon Valley tech giants including Juniper Networks, Pure Storage, and Smartsheet to address this critical challenge. Adams introduces her visibility-sentiment-recommendation framework for AI marketing success, emphasizing that showing up in AI search results is merely the foundation—brands must ensure credible sentiment and appropriate recommendations for ideal customer scenarios. She advocates for reimagining workflows beyond automation to leverage AI's unique capabilities in synthesizing multi-source market intelligence and maintaining consistent context across vast data sets.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Enterprise marketers struggle with AI visibility despite 47% go-to-market efficiency decline. Liza Adams, AI advisor and go-to-market strategist at GrowthPath Partners, brings 25+ years of Silicon Valley marketing leadership experience across major tech companies including Juniper Networks, Pure Storage, and Smartsheet. The discussion reveals Adams' three-layer framework for AI marketing success: visibility (showing up in AI search), sentiment (ensuring believable and credible messaging), and recommendation (being suggested for ideal customer situations and problems).See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Enterprise marketers struggle with declining go-to-market efficiency—now just 47% effective. Liza Adams, AI advisor and former CMO at major tech companies including Pure Storage and Smartsheet, shares proven frameworks for rebuilding customer trust in the AI era. The discussion covers her three-layer trust framework (visibility, sentiment, and recommendation), strategic approaches to ungating content for AI discoverability, and implementing "people-first AI forward" transformation methodologies that prioritize human upskilling over workforce reduction.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

AI search has fundamentally altered buyer behavior, with 47% of go-to-market spending now yielding diminished returns. Liza Adams, AI Advisor and Go-to-Market Strategist at GrowthPath Partners, brings enterprise marketing transformation expertise from leadership roles at Pure Storage, Smartsheet, and major tech companies. The discussion covers her three-layer GEO framework addressing visibility, sentiment, and recommendation optimization, plus strategic approaches for building authentic customer trust through ungated content and community engagement rather than traditional lead generation tactics.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

80% of sources cited by AI systems don't appear in Google's top results. Karl Kleinschmidt, founder at Data Marketing Group and 18-year SEO veteran, shares proven strategies for optimizing content for LLM visibility across enterprise-scale data systems. The discussion covers fan out analysis methodology for mapping user intent beyond traditional keywords, local SEO adaptation frameworks for AI-powered discovery, and custom tool development strategies for tracking LLM citations and performance data.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

80% of AI-cited sources don't appear in Google's top results. Karl Kleinschmidt, founder of Data Marketing Group and 18-year SEO veteran, shares how his enterprise clients are adapting content strategies for LLM optimization across large-scale data systems. The discussion covers fan out analysis for mapping user intent beyond traditional keywords, local rank tracking methodologies that account for AI Overview variations across verticals, and custom tool development frameworks that integrate multiple LLM platforms for scalable content brief creation.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

80% of AI-cited sources don't appear in Google's top results. Karl Kleinschmidt, founder of Data Marketing Group with 18 years of SEO experience, shares proven frameworks for optimizing content for LLM citation and local AI discovery. The discussion covers fan-out analysis for mapping user intent beyond keywords, cluster-based content strategies that connect business objectives to AI-driven search behavior, and custom tool development approaches that leverage multiple LLM platforms for competitive advantage in enterprise search programs.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

80% of AI-cited sources don't appear in Google's top results. Karl Kleinschmidt, founder at Data Marketing Group and 18-year SEO veteran, shares how his enterprise clients are adapting content strategies for LLM optimization across local and national campaigns. The discussion covers fan out analysis for mapping user intent beyond keywords, cluster-based content frameworks for enterprise-scale implementations, and custom data collection systems that integrate Search Console with LLM performance tracking.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

80% of AI-cited sources don't appear in Google's top results. Karl Kleinschmidt, founder at Data Marketing Group and 18-year SEO veteran, has developed systematic approaches for LLM optimization across enterprise-scale local SEO programs. The discussion covers fan-out analysis methodology for mapping user intent beyond traditional keywords, multi-LLM data collection frameworks using Claude projects and Gemini validation, and local rank tracking strategies that account for geographic personalization in AI-powered search results.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.