cite-met fixes a problem that AI coding tools quietly create: the sites they build are often invisible to search. React and frameworks like it render the page in the browser, so a crawler or an AI agent that doesn't run the JavaScript sees an empty shell. cite-met converts those client-side rendered sites into statically generated ones, so the content is already in the HTML when a crawler arrives.
It does more than flatten pages. It generates an llms.txt file, the structured index that helps AI models read and cite a site accurately. As more buyers start their research inside ChatGPT and Perplexity rather than Google, a machine-readable copy of your site stops being a nice-to-have and starts deciding whether you get cited at all.
The crawler analytics dashboard shows what's actually happening: which pages get crawled, how often, by which bots, and whether those bots are seeing the content you meant them to see. That turns search work from guessing into watching the data.
cite-met is built for developers who ship fast with AI tools and don't want to trade away search visibility to do it. It sits between how sites get built now and how content actually gets found.
