Frame Semantics

Frame Semantics is a theory that words activate holistic conceptual frames—for example, the word 'buy' triggers a frame with buyer, seller, price, product, payment method, and documents. In SEO, semantic frames are reverse engineering Query Fan-out: instead of guessing which sub-queries AI will generate, you build article structure from frame elements, where each element equals a ready H2 heading. The 'LEASING' frame gives: What is leasing, Who can get it, Types, Leasing vs credit, Documents, Buyout (six ready H2s, each answering a different sub-query). Six types of questions generated from frames (Definitional, Boolean, Grouping, Comparative, Process, Cost) cover about 90% of fan-out.

In practice, before writing an article, enter your Central Entity in the prompt 'what semantic roles does word [X] activate?' and build complete heading structure based on that. Frame Semantics connects with Contextual Vector: the frame provides a sub-query map that becomes H2 headings with BLUF in each section. Similarly, a semantic frame is like an official form with fields to fill; empty field means incomplete application.