Build Consensus in AI Results with Listicles | James Dooley & Jabez Reuben
James Dooley and Jabez Reuben discuss how listical link building builds consensus for LLMs, AI overviews and Google organic rankings. The conversation explains why structured listicles help AI systems understand brands, competitors, locations and category relevance because they provide clear, retrievable answers across query fan-outs. Jabez explains how comparison tables, competitor mentions, FAQs, media, USPs, awards and entity-focused content improve listicle performance. They also discuss why one guest post or press release is not enough, as AI systems need repeated, varied and consistent signals across trusted third-party sources. The podcast covers bottom-up consensus building, regional targeting, YMYL niches, semantic SEO, daisy-chain linking and brand coverage strategies. This video is useful for SEOs, link builders and brands looking to improve AI visibility, LLM citations and organic search performance.
Creators and Guests
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.
