SEOAgent
// THE CHALLENGE
An AI SEO agent architecture that analyzes web properties, structures findings, and turns technical SEO research into prioritized optimization work.
// THE PROBLEM
SEO work often becomes fragmented across crawls, keyword notes, page audits, and unclear recommendations. Teams need a system that can turn analysis into ordered actions, preserve traceability from page signal to recommendation, and make technical SEO work easier to prioritize.
// THE SOLUTION
I built SEOAgent as an AI-assisted research and analysis system that separates crawling, interpretation, scoring, and recommendation layers so SEO decisions can be traced back to structured signals. The architecture is relevant for autonomous research agents, audit pipelines, answer-engine optimization workflows, and internal marketing operations tools.
// KEY RESULTS
// RELATED SERVICES
This case study connects to the service areas I build for operations-heavy teams: automation, document intelligence, logistics systems, and content-managed product interfaces.