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67% of businesses already use AI for content marketing and SEO, yet few practitioners understand how to integrate this capability to amplify their impact. Eric Enge, president at Pilot Holding and author of "Using Generative AI for SEO," reveals that the fundamental algorithms determining content relevance are remarkably similar across both traditional search and AI platforms. This creates an immediate opportunity for SEO teams to optimize for both environments simultaneously using the same core strategies. 03:03 The current state of AI search: Google remains dominant while adapting quickly, with ChatGPT and agentic browsers gaining traction but likely to capture only 15% market share in the next three years 13:35 How to implement AI-powered relevance optimization: Use tools like Screaming Frog to measure content similarity scores against competitors, then optimize your pages accordingly "money lying on the table waiting for you to pick it up" 19:38 Why user engagement metrics still matter: Google uses Chrome data while LLMs track interaction patterns within their interfaces to determine content quality 25:36 The limitations of current AI models: They predict "the next best word" rather than demonstrating true knowledge, requiring human oversight for the foreseeable future 30:06 Practical implementation advice: Start with 30% efficiency gains through AI workflows while maintaining human oversight, focusing on applications that are naturally fault-tolerant Guest: Eric Enge, President at Pilot Holding | / ericenge Host: Tyson Stockton | / tyson-stockton Podcast: Voices of Search | https://www.voicesofsearch.com/ Previsible.io - https://previsible.io #aisearch #searchmarketing #seo