EPISODE · Jun 19, 2026 · 10 MIN
How AI Recommends Businesses in 2026 (James Dooley Interviews Jason Barnard)
from James Dooley Podcast · host James Dooley
In this episode, James Dooley speaks with Jason Barnard about how AI recommends businesses in 2026 and why being visible is no longer enough. The discussion breaks down how large language models like ChatGPT, Gemini, Claude, and Perplexity decide which businesses to recommend, and why this process is fundamentally different from traditional Google rankings.Jason explains the shift from answer engine optimisation to AI assistive engine optimisation, and why generative optimisation is already outdated. The conversation covers passages versus pages, cascading queries, trust signals, and why AI prefers to answer from memory rather than search results. They also explore the difference between being found and being recommended, the role of first-party and third-party corroboration, and how small businesses and tradesmen can still compete with major brands by niching down.This episode is essential viewing for solopreneurs, business owners, and marketers who want to understand how AI systems evaluate credibility, authority, and relevance, and how to position a brand to win recommendations at the moment decisions are made.Where to Listen to This EpisodeHow AI Recommends Businesses in 2026 (James Dooley Interviews Jason Barnard) is available across all major podcast platforms. Choose your preferred platform below.Listen to How AI Recommends Businesses in 2026 (James Dooley Interviews Jason Barnard) on TransistorListen to How AI Recommends Businesses in 2026 (James Dooley Interviews Jason Barnard) on Pocket CastsListen to How AI Recommends Businesses in 2026 (James Dooley Interviews Jason Barnard) on Amazon MusicListen to How AI Recommends Businesses in 2026 (James Dooley Interviews Jason Barnard) on SpotifyListen to How AI Recommends Businesses in 2026 (James Dooley Interviews Jason Barnard) on PodverseListen to How AI Recommends Businesses in 2026 (James Dooley Interviews Jason Barnard) on Pod.linkListen to How AI Recommends Businesses in 2026 (James Dooley Interviews Jason Barnard) on CastroListen to How AI Recommends Businesses in 2026 (James Dooley Interviews Jason Barnard) on CastboxListen to How AI Recommends Businesses in 2026 (James Dooley Interviews Jason Barnard) on Podcast AddictListen to How AI Recommends Businesses in 2026 (James Dooley Interviews Jason Barnard) on DeezerListen to How AI Recommends Businesses in 2026 (James Dooley Interviews Jason Barnard) on Listen NotesListen to How AI Recommends Businesses in 2026 (James Dooley Interviews Jason Barnard) on Podcast GuruListen to How AI Recommends Businesses in 2026 (James Dooley Interviews Jason Barnard) on PodchaserListen to How AI Recommends Businesses in 2026 (James Dooley Interviews Jason Barnard) on StenoListen to How AI Recommends Businesses in 2026 (James Dooley Interviews Jason Barnard) on MetacastListen to How AI Recommends Businesses in 2026 (James Dooley Interviews Jason Barnard) on Entity Home
What this episode covers
In this episode, James Dooley speaks with Jason Barnard about how AI recommends businesses in 2026 and why being visible is no longer enough. The discussion breaks down how large language models like ChatGPT, Gemini, Claude, and Perplexity decide which businesses to recommend, and why this process is fundamentally different from traditional Google rankings.Jason explains the shift from answer engine optimisation to AI assistive engine optimisation, and why generative optimisation is already outdated. The conversation covers passages versus pages, cascading queries, trust signals, and why AI prefers to answer from memory rather than search results. They also explore the difference between being found and being recommended, the role of first-party and third-party corroboration, and how small businesses and tradesmen can still compete with major brands by niching down.This episode is essential viewing for solopreneurs, business owners, and marketers who want to understand how AI systems evaluate credibility, authority, and relevance, and how to position a brand to win recommendations at the moment decisions are made.Where to Listen to This EpisodeHow AI Recommends Businesses in 2026 (James Dooley Interviews Jason Barnard) is available across all major podcast platforms. Choose your preferred platform below.Listen to How AI Recommends Businesses in 2026 (James Dooley Interviews Jason Barnard) on TransistorListen to How AI Recommends Businesses in 2026 (James Dooley Interviews Jason Barnard) on Pocket CastsListen to How AI Recommends Businesses in 2026 (James Dooley Interviews Jason Barnard) on Amazon MusicListen to How AI Recommends Businesses in 2026 (James Dooley Interviews Jason Barnard) on SpotifyListen to How AI Recommends Businesses in 2026 (James Dooley Interviews Jason Barnard) on PodverseListen to How AI Recommends Businesses in 2026 (James Dooley Interviews Jason Barnard) on Pod.linkListen to How AI Recommends Businesses in 2026 (James Dooley Interviews Jason Barnard) on CastroListen to How AI Recommends Businesses in 2026 (James Dooley Interviews Jason Barnard) on CastboxListen to How AI Recommends Businesses in 2026 (James Dooley Interviews Jason Barnard) on Podcast AddictListen to How AI Recommends Businesses in 2026 (James Dooley Interviews Jason Barnard) on DeezerListen to How AI Recommends Businesses in 2026 (James Dooley Interviews Jason Barnard) on Listen NotesListen to How AI Recommends Businesses in 2026 (James Dooley Interviews Jason Barnard) on Podcast GuruListen to How AI Recommends Businesses in 2026 (James Dooley Interviews Jason Barnard) on PodchaserListen to How AI Recommends Businesses in 2026 (James Dooley Interviews Jason Barnard) on StenoListen to How AI Recommends Businesses in 2026 (James Dooley Interviews Jason Barnard) on MetacastListen to How AI Recommends Businesses in 2026 (James Dooley Interviews Jason Barnard) on Entity Home
NOW PLAYING
How AI Recommends Businesses in 2026 (James Dooley Interviews Jason Barnard)
No transcript for this episode yet
Similar Episodes
Mar 26, 2026 ·1m
Jan 2, 2026 ·47m
Dec 21, 2025 ·46m