When a developer asks Perplexity something like, "How do I upload a file with a progress bar using the Stripe API?", it doesn't just show a list of links. It actually reads documentation pages, pulls useful lines, code examples, and API details, then builds an answer from them. If your docs aren't easy for AI tools to understand, it doesn't matter how good your product is. It simply won't be cited. This is becoming more common very quickly. Developers are now discovering tools through LLM-powered interfaces like ChatGPT, Perplexity, Claude, and GitHub Copilot, along with AI features built directly into code editors and IDEs. These systems don't browse websites the same way people do. They scan text, understand structure, and combine information into direct answers. The docs that get referenced most are usually the ones written in a clear, structured, machine-friendly way while still being helpful for humans.…