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James Dooley and Jason Barnard discuss how AI recommends businesses in 2026 because search engines and large language models now act as decision assistants for users. Jason Barnard explains that AI systems do not rank full pages like Google traditionally did, but instead extract passages and signals that answer specific queries. They explore how credibility, corroboration and consistent digital footprints influence whether a company is simply found or actually recommended by AI. The discussion matters because businesses that train AI systems through clear first party information and trusted third party validation increase their chances of becoming the preferred recommendation.
By James DooleyJames Dooley and Jason Barnard discuss how AI recommends businesses in 2026 because search engines and large language models now act as decision assistants for users. Jason Barnard explains that AI systems do not rank full pages like Google traditionally did, but instead extract passages and signals that answer specific queries. They explore how credibility, corroboration and consistent digital footprints influence whether a company is simply found or actually recommended by AI. The discussion matters because businesses that train AI systems through clear first party information and trusted third party validation increase their chances of becoming the preferred recommendation.