I Built This Tool With Three AIs at Once — Claude, Gemini, and Copilot

Most AI-assisted development follows a simple pattern: open a chat, describe the problem, copy the output, adjust, repeat. One AI, one conversation, one step at a time. aeoptimize was built differently. It's an open-source CLI that scores websites for AI readability — how likely your content is to be cited by ChatGPT, Perplexity, or Google AI Overview. During development, we dispatched different components to different AI systems in parallel. The tool does the same thing at runtime. The division of labor We split the work by capability fit, not convenience: Claude: core architecture, scoring engine, security audit Gemini: Vite plugin Copilot: Next.js plugin Claude handles long-context reasoning well, which suited the 17-rule scoring engine and the adversarial review. Gemini and Copilot each received a self-contained plugin with a clear interface, where code generation speed mattered more than sustained context. The two plugins also needed to conform to their respective framework conven