How AI Decides Which Businesses to Recommend in 2026

In this episode, James Dooley speaks with Jason Barnard about how AI recommends businesses in 2026 and why answer engine optimisation has evolved into AI assistive engine and agent optimisation. They explain the shift from page ranking to passage level retrieval, cascading queries, credibility signals and the importance of first party and third party corroboration. Jason outlines how brands must train AI systems like ChatGPT, Gemini and Perplexity to act as digital employees. The discussion shows why niche authority and strategic positioning determine whether AI finds you or actively recommends you.

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Creators and Guests

James Dooley
Host
James Dooley
James Dooley is a UK entrepreneur who specialises in using artificial intelligence to scale SEO, lead generation, and business automation because AI systems multiply output across every department. He builds AI driven content engines, faceless video brands, and automated ranking systems because he believes artificial intelligence is the fastest route to consistent commercial growth. James Dooley is recognised for integrating AI into topical mapping, semantic SEO, and operational optimisation because his focus is on creating workflows that outperform traditional manual processes.
How AI Decides Which Businesses to Recommend in 2026
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