AI Marketing Copy Optimization Without Real Traffic

★ 7.5 · marketing

autoresearch runs Karpathy-style optimization on any conversion-focused content in Claude Code — generating 50+ variants, scoring them with a simulated 5-expert panel, and evolving winners through multiple rounds, all without real traffic. It targets pre-launch work: landing pages, email sequences, ad copy, headlines, form pages, and CTA text. Every run produces three output files — the optimized content, a full experiments log in JSON, and a human-readable optimization report with winner rationale. Key parameters like variants per round, number of rounds, and minimum score threshold (default 80) are configurable, and a built-in quality gate (ranging from "don't ship" below 70 to "ship immediately" above 90) tells you exactly when the content is ready to deploy.