Methodology
Laup tracks two things for a store: whether AI can read it, and whether AI recommends it.
Chapter one
How the AI readiness scan turns crawler access, discoverability, and page content into a 0-100 readiness score: five weighted signals, fixed weights, illustrated with laup.ai's own scan.
Read the AI readiness methodology →
Chapter two
How AI Visibility measures share of voice: the consumer questions we ask, the engines we ask them on, and how mentions, citations, and sentiment are counted.
Read the AI Visibility methodology →
Chapter three
How the Action plan turns measured visibility into prioritized recommendations: three models propose independently from real evidence, a judge merges, and every number is computed by code. In closed beta.
Read the Action plan methodology →