Bridging the gap between classic SEO and next-gen AI-powered discoverability through data-driven search strategies
Thomas Lindsey is a partner and SEO/data systems expert who channels his passion for artificial intelligence into crafting data-driven search strategies that scale. With a strong foundation in search engineering and analytics, Thomas bridges the gap between classic SEO and next-gen AI-powered discoverability.
Thomas began his professional career focused on search engine optimization, web structure, and data systems, gaining recognition as an SEO specialist and "data geek." His current work merges traditional SEO discipline with machine learning and AI-enabled insights, ensuring clients build search systems designed for the future—not the past.
At CodeTap, Thomas brings a unique combination of technical depth and strategic vision. He understands that modern search isn't just about keywords and links—it's about building intelligent systems that adapt, learn, and scale. His approach combines rigorous data analysis with cutting-edge AI capabilities to create search strategies that deliver sustainable, long-term results.
Thomas's expertise ensures that CodeTap clients don't just keep up with the evolution of search—they stay ahead of it.
Classic SEO discipline merged with modern search engineering principles
Building scalable data architectures that power intelligent search strategies
Machine learning and AI-enabled insights for next-gen search systems
Data-driven strategies that scale and deliver measurable results
Work with Thomas to create AI-powered search strategies that scale