EPISODE · Jun 1, 2026 · 43 MIN

Fan out analysis, Local rank checks in AI

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

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.

What this episode covers

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.

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Fan out analysis, Local rank checks in AI

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This episode is 43 minutes long.

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This episode was published on June 1, 2026.

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