Only 7.4% of the Fortune 500 have an llms.txt file. The plumbing that makes you AI-discoverable is cheap, and almost nobody has done it yet.
Generative engine optimization sounds like a buzzword until you see how few companies have done the basics. Then it looks like an open door.
A March 2026 study found just 7.4% of the Fortune 500 have implemented an llms.txt file, the simple companion to robots.txt that guides AI systems to your important content. Meanwhile most have a robots.txt, but only about 11% have even named an AI user agent in it. The report frames llms.txt, structured data, and AI directives as the measurable signals of AI readiness.
If the biggest companies in the country have barely started, a focused small business can leapfrog them on AI discoverability for very little money. The early movers get cited in answers. Everyone else gets summarized from whatever scraps the AI can piece together.
How WebKing runs this
We ship the full AI-discoverability stack for you: llms.txt, validated structured data, and clean AI directives, so the answer engines understand exactly what you do and who you serve. We do this on every site we build.
Sources
The Lab is original analysis by WebKing. We summarize and interpret developments from the sources above for industrial, commercial, and small business owners. Figures are reported as published by their sources.
More from the desk
Google's AI Overviews are the new featured snippets. Here's how to stay visible when AI summarizes search results for your customers.
ChatGPT can now complete a purchase inside the chat. The buyer never lands on your homepage, which means your product data is doing the selling now.
The contrarian data on AI coding: it can slow experienced developers and pile up bugs that surface months later. Speed is real, but so is the debt.