Agentic SEO

Traditional SEO runs on periodic manual audits: someone remembers to check rankings, spots a problem weeks late, and reacts. We wanted the opposite. A system that watches every client site around the clock, catches issues the day they appear, and decides what to do next without being asked.

We built a fleet of six multi-tenant Cloudflare Workers, each with one job and each covering all seven client sites in a single cron run: a keyword agent pulling Search Console data daily and flagging cannibalisation, a ranking agent snapshotting positions and emailing a weekly report, a link agent finding internal-link opportunities and broken links, a content agent grading freshness and quality, a technical agent running PageSpeed and sitemap audits, and a schema agent validating structured data.

The agents don’t just report, they act. They generate a prioritised task queue: ranking-drop alerts, keyword-cannibalisation warnings, freshness reminders, and schema fixes. A Claude-powered agent then triages that queue and applies fixes straight into each site’s codebase, with a human approving every change. Everything is validated with Zod, and every client’s data stays isolated in one shared Supabase schema.

The system has processed over 8,000 keywords, generated more than 1,000 tasks, and logged over 7,000 audit runs, tracking more than 1.2 million ranking records across seven client sites. It delivers the coverage of an expensive enterprise SEO suite, running quietly on serverless infrastructure, and it catches problems before they ever reach the rankings.