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Michael Anderson
AI SEO & Growth Strategy Specialist
Michael Anderson holds a B.S. in Marketing Analytics from the University of California, San Diego, and an M.S. in Information Systems. With over 12 years of hands-on experience in SEO and AI-driven growth strategy, he has helped SaaS platforms and AI tools improve search visibility and organic performance. Michael focuses on AI website builders, technical SEO, and scalable content systems, delivering research-backed insights that align with modern search engine standards and user intent.
Laura Bennett
AI Tools Researcher & Digital Product Analyst
Laura Bennett earned a B.A. in Communication Studies from Boston University and an M.A. in Digital Innovation. Since 2012, she has specialized in evaluating AI-powered digital tools, website creation platforms, and automation software. Laura's work emphasizes data accuracy, real-world testing, and transparent comparisons, helping readers and businesses make informed decisions while building trust in AI-enabled website solutions.
Daniel Thompson
Technical SEO & AI Systems Writer
Daniel Thompson holds a B.S. in Computer Science from the University of Washington and has over a decade of experience writing about AI systems, search engine algorithms, and website infrastructure. His expertise lies in technical SEO, AI-generated websites, and performance optimization. Daniel produces in-depth guides that bridge engineering principles with SEO best practices, supporting long-term site authority and sustainable organic growth.
Emily Carter
AI Website Optimization & Content Quality Specialist
Emily Carter graduated with a B.A. in Digital Marketing from New York University and has been working in SEO and AI-based content optimization since 2011. She specializes in E-E-A-T-focused content strategy, AI website builders, and on-page optimization. Emily's research-driven tutorials help brands improve credibility, content quality, and search rankings in an evolving AI-first search environment.