A five-step loop. Each step is measured, leads to an action, and leaves something behind.
- Set your canon. A reference text your whole story measures against, in numbered, dated versions.
- Measure your baseline. Your citation curves, the archived answers, and the sources that shape them.
- Align your official pages. A registry of every page you own, each alignment dated against a version of the canon.
- Get corroborated. Dated proofs on file, and footholds visible on the map of the sources your market leans on.
- Prove it, then iterate. A history where every action reads against what it changed.
The loop closes on itself: each re-measurement says whether to hold, fix or push further, and the history keeps the proof of the whole path. Every tool of the method reads and writes through the app, the REST API v1 and the MCP server with the same keys, so your own AI assistant can run any step with you.
Step by step on the method page.