Supplier recommendation in AI occurs when someone asks an assistant who provides a service or product in a given field. The model builds its answer from what it finds about companies – from professional directories and catalogues, comparison articles, references, case studies, mentions in the media, and content on the companies' own websites. Specialised suppliers with a clearly named area of focus have a decisive advantage, because the model needs to link the company to a specific topic. General claims about comprehensive solutions do not provide this link. In practice, it therefore pays to name the specialisation unambiguously, back it up with references showing concrete results, and ensure a presence in the sources that models use when making recommendations. This is easy to verify: ask the assistant the question a customer would ask, and see who appears in the answer.
See also: GEO strategy for B2B, Review and comparison websites, Comparison content for AI.
