Fan out analysis, Local rank checks in AI
About this episode
The episode discusses AI-cited sources in search results and local SEO strategies with Karl Kleinschmidt.
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 .
People in this episode
Guest: Karl Kleinschmidt
Topics covered
- AI optimization
- local SEO
- user intent
- data collection frameworks
- geographic personalization
- rank tracking strategies
Keywords
- AI
- local SEO
- fan-out analysis
- user intent
- LLM optimization
- rank tracking
- geographic personalization
Mentioned in this episode
Organizations: Data Marketing Group
Products: Claude, Gemini
Places: California
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