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shift from answer engine optimisation to AI assistive engine optimisation, and why generative optimisation is already outdated.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.

In this episode, James Dooley speaks with Jason Barnard about knowledge panel creation and why triggering a meaningful Google knowledge panel takes time. The discussion breaks down the difference between superficial knowledge panels that appear quickly and authoritative panels that represent genuine machine understanding. Jason explains why six-week guaranteed knowledge panels often fail to deliver long-term value, how shortcuts like low-quality Wikipedia or Wikidata entries can damage trust, and why consistency, corroboration, and authority signals matter more than speed.

The conversation also explores how knowledge panels relate to AI systems such as ChatGPT and Perplexity. Jason outlines why a knowledge panel alone does not influence AI recommendations, but the underlying work required to earn a strong panel improves visibility, trust, and recommendation potential across Google and large language models. Key topics include digital footprint optimisation, entity relationships, authority signals, and realistic timelines for building a stable KGM ID.

This episode is part of a wider series on knowledge graph optimisation, entity SEO, and brand authority, aimed at solopreneurs, entrepreneurs, high net worth individuals, and businesses that want long-term credibility rather than short-term vanity results.

James Dooley speaks with Joshua George, founder of Click Slice, about what separates a top tier e-commerce SEO agency from the rest. Joshua explains why Click Slice ranks number one for e-commerce SEO in the UK and how real world results, short rolling contracts, and proven ROI define trust. The episode covers Shopify SEO, platform choices, technical SEO, content and link building, and why a holistic approach drives scalable revenue. It offers clear insight for brands seeking long term organic growth in the UK and US markets.

This episode explores brand entity SEO for high net worth individuals because AI systems now shape reputation, privacy and legacy. Jason Barnard explains that wealthy individuals need controlled visibility because the right narrative attracts the right opportunities while reducing unwanted attention. The discussion shows how digital footprints guide what Google and LLMs say, which defines long term perception. By prioritising certain facts and deemphasising others, individuals influence how machines present their story, which protects privacy and secures a positive legacy.

High net worth individuals need brand entity SEO because AI and search engines shape reputation, visibility and legacy, which influences trust and access to the right opportunities. This episode explains how wealthy individuals can control what Google and LLMs present because structured digital footprints guide machine understanding. Jason Barnard and James Dooley discuss privacy, legacy, and reputation because consistent signals across the web prioritise the right narratives. Learn how to reduce unwanted exposure, influence AI outputs, and secure a positive long term digital legacy.

James Dooley and Jason Barnard discuss brand entity SEO for entrepreneurs because personal brands now influence how Google and AI platforms evaluate credibility. Jason explains that a founder’s entity drives revenue because people trust people before companies. They cover KGM IDs, entity homes, digital assets and third party corroboration, showing how clear positioning improves visibility because machines need consistent signals. Entrepreneurs learn how to link books, podcasts and businesses to their identity so AI understands who they are and what they offer, which increases trust and conversions.

James Dooley and Jason Barnard discuss how brand entity SEO affects real business revenue because AI systems now influence who gets recommended at the moment of decision. They explain how knowledge graphs, LLMs and search results shape brand perception, which impacts conversions when customers compare options. The episode shows why clear positioning, consistent messaging and third party proof increase trust, because machines rely on corroborated signals. Business owners learn how to reduce funnel leakage and improve conversion rates by teaching AI who they serve and why they are credible.

James Dooley and Jason Barnard explain brand entity SEO for business owners who care about profit, because AI driven search now influences who gets recommended at the buying stage. They show how clean entity data shapes how Google and LLMs see a market, so a business can sit at the centre and win comparisons. AI acts like a digital sales team because it answers brand queries and comparisons, which affects conversions. The episode links knowledge graphs, proof, reviews and clear brand positioning to revenue, so owners understand how visibility turns into sales.

James Dooley speaks with Jason Barnard about entity SEO secrets in 2026 and why brand is still the most misunderstood advantage in search. Jason explains how strong brands outperform pure search traffic, why entity understanding drives AI recommendations, and how the Kalicube framework of understandability, credibility, and deliverability works across Google and AI assistants. They break down the difference between being found and being recommended, how to measure whether machines truly understand a brand, and why educating algorithms through a clear entity home is now essential for visibility and growth in AI driven search.

James Dooley speaks with Jason Barnard about brand entity SEO in 2026 and why knowledge graphs now sit at the centre of modern search, AI assistants, and answer engines. Jason explains how entity optimisation has moved from a niche SEO tactic to a foundational requirement across Google, Bing, ChatGPT, and other LLM driven platforms. They break down the algorithmic trinity of search engines, chatbots, and knowledge graphs, why digital footprint consistency matters, and how brands and individuals should build an entity home to educate machines. The episode cuts through myths around Wikipedia and focuses on practical steps for controlling identity, trust, and visibility in AI powered search.