Flagship case · getbo.shop
Bò — found by the machines that recommend it.
Premium bone broth, sold direct. Built on a clean, hand-coded Next.js foundation with SEO and GEO structure from the first commit — so search and AI could read it, trust it, and quote it.
The problem
Buyers ask machines now. A founder opens ChatGPT, asks for a recommendation, and acts on the answer. The brand that gets named wins the visit — and a beautiful, JavaScript-heavy site that serves a blank shell to the crawler gets skipped, not quoted.
What was built
A clean Next.js foundation that renders real content without JavaScript, semantic HTML and a proper heading hierarchy, JSON-LD schema, an llms.txt file, and every claim written to survive extraction as a standalone fact.
The result
Within months, inbound arrived from Google, ChatGPT, and Claude with no ad spend — settling at ~15% of new clients from AI chats and ~5% from search. Bò's own figures, traced to the build decisions that produced them.