A leading global experiential marketing agency with 600+ employees across multiple international markets faced an emerging competitive threat: inconsistent visibility in AI-generated recommendations. As generative AI tools like ChatGPT, Google AI Overviews, and Perplexity became primary research sources for potential clients, the agency discovered they were being overlooked in favor of competitors—not because of inferior services, but because their digital presence wasn't optimized for how AI models discover, evaluate, and recommend businesses. The Strategy I developed a comprehensive 30-week Generative Engine Optimization (GEO) strategy addressing the fundamental shift from traditional search to AI-powered discovery. The approach combined immediate technical optimizations with long-term authority-building initiatives across four strategic phases: Quick Fixes (Weeks 1-8), Content Foundation (Weeks 6-16), Authority Building (Weeks 16-30), and ongoing Maintenance & Growth. The strategy focused on the core factors influencing AI recommendation consistency: structured content that AI models prefer, freshness signals, commercial intent optimization, schema markup implementation, directory platform optimization, and authentic user-generated signals through strategic community building. This multi-pronged approach ensured the client would be discoverable, accurately represented, and consistently recommended across all major generative AI platforms. Full case study with implementation results coming 2026