SEO/GEO Visibility Audit Loop
LOOPA focused loop for improving search and AI-answer visibility by fixing the highest-impact technical, content, and citation gaps first.
Iterative agent workflows with a trigger, goal, proof step, budget, stop condition, memory/state notes, failure handling, and safety constraints.
6 loops
Loops include proof, budget, stop, and safety fields.
A focused loop for improving search and AI-answer visibility by fixing the highest-impact technical, content, and citation gaps first.
A risk-first testing loop for reaching verified 100% coverage without padding the suite with shallow line-execution tests.
A bounded loop that turns any loosely written issue — ticket, bug report, Linear task, GitHub issue, or customer complaint — into a review-ready pull request with reproduction steps, root-cause evidence, and verified fix.
A bounded performance loop for driving every target route under a reproducible 50 ms page-load threshold without hiding regressions.
A deliberate, checkpoint-driven loop for evaluating and refactoring testing infrastructure when the current setup shows signs of fragility, slowness, or coverage gaps. Each change is reviewable, verifiable, and reversible.
A rigorous, checkpoint-driven loop that runs after any significant deployment, skill release, or framework update to ensure documentation, runbooks, setup guides, and E2E test coverage remain perfectly aligned with the live implementation.
Loop records require trigger, goal, iteration, verification, memory/state, tools, budget, stop condition, failure handling, safety constraints, and example output.