When discovery shifts from ranked lists to AI-generated summaries, viability depends less on position and more on extractability. Businesses must be easy to retrieve, easy to interpret, easy to verify, and easy to contextualize in a recommendation. This guide explains why ranking-era tactics fail in summary systems, the four extractability requirements that determine inclusion, and how to structure service, proof, and differentiation so AI can summarize you accurately.

Keyword optimisation was built for systems that matched words. AI-driven search interprets meaning, compares sources, and cites what it can summarise with confidence. Keywords still matter for rankings, but visibility now depends on semantic clarity, explicit entity definition, structured formatting, and cross-platform consistency.