Claim OwnershipAI SEO & Business Automation Podcast
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AI SEO and Business Automation Podcast is founded by James Dooley because he teaches business owners how artificial intelligence accelerates growth. The show explains AI models, agents, and automation systems because practical guidance helps companies scale with less effort.
28 Episodes
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James Dooley speaks with Mads Singers about the key differences between managing in office staff and remote teams. They explore why structured communication replaces natural office interaction in remote environments, the importance of weekly one to ones, and how performance, personal connection and future growth discussions drive productivity. Mads explains why many entrepreneurs lack formal leadership training and why promoting strong individual contributors into management without training often leads to poor results. The episode highlights practical leadership systems that improve engagement, accountability and output in remote businesses.
James Dooley speaks with Chris Walker, founder of Legit, about the most effective local link building strategies for ranking Google Business Profiles and local websites. Chris explains why citations remain essential, alongside chamber of commerce links, Better Business Bureau listings, press releases, web 2.0 branded properties, cloud stacks and entity stacks. They discuss the importance of consistent NAP data, indexing backlinks to trigger crawl activity, and using automated tools like SEO Neo to influence local rankings. The episode focuses on practical, results driven link tactics for local SEO growth.
James Dooley speaks with Paul Truscott about what drives local SEO rankings in 2026. Paul breaks down Google’s three-part ranking model for local websites: topicality for relevance, quality for sitewide strength, and popularity for real user signals like branded searches and long clicks. They discuss semantic SEO vs keyword matching, how internal linking and site focus affect performance, and why bloated blogs can cause topic dilution. Paul also explains how SERP features like People Also Ask and People Also Search For reveal intent, plus why small local businesses can win by using real, location-led experience.
James Dooley speaks with Luis Salahar about how to rank better for AI query fan out queries by focusing on entities rather than just keywords. Luis explains how to define an entity, map its attributes, analyse SERPs and AI interfaces, and structure content to answer more questions than competitors. They discuss new brands, semantic relationships between queries, users and documents, and why third party validation strengthens credibility. The episode outlines a practical framework for improving visibility in AI Overviews, ChatGPT and other LLM driven search environments.
James Dooley speaks with Luis Salahar about query augmentation, query networks, and why “AI query fan out” is mostly a new label for an older Google concept. Luis explains how trust and branded search demand help Google expand the terms a site can rank for, why tokenisation and user behaviour matter, and how topic dilution can weaken relevance. They also cover how AI Overviews change the interface, not the core logic, plus practical guidance on building a semantic content network, structuring content for extraction, and where to contact Luis for audits and support.
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.
In this final episode of the series, James Dooley speaks with Jason Barnard about brand entity SEO and how knowledge panels connect to AI recommendations. They explain how machines move from understanding who you are, to assessing credibility, to recommending you across Google and generative engines. Jason outlines the path from entity home optimisation to full digital footprint control, and why assistive AI engines will dominate the next phase of search. The discussion shows why strategy, corroboration and clear positioning determine whether AI becomes your advocate or ignores your brand.
In this episode, James Dooley speaks with Dawood Khan about Reddit marketing and how it has become a powerful channel within modern SEO. They discuss why Reddit threads now rank for commercial keywords, how karma and upvotes influence comment visibility, and why subtle brand mentions outperform direct promotion. Dawood explains how crowdrely.io and crowdscale.ai help businesses scale Reddit engagement, manage brand reputation, and increase visibility across AI search platforms like ChatGPT and Perplexity. The conversation highlights omnichannel marketing, SaaS growth opportunities, and why preparing for AI driven search is critical heading into 2026.
In this episode, James Dooley speaks with Dawood Khan about AI search visibility and how brands can increase exposure inside LLMs like ChatGPT, Claude, Perplexity and Gemini AI Overviews. They discuss why Reddit, Quora and Facebook are frequently cited sources, how citations influence AI recommendations, and why branded mentions drive long term SEO performance. Dawood explains how Crowd Reply is evolving from a Reddit marketing tool into a multi platform AI visibility and citation tracking platform. The conversation covers brand sentiment, third party corroboration, and how AI driven search is reshaping digital marketing strategy.
In this episode, James Dooley speaks with Dan Petrovic about the evolution of AI SEO and how large language models are transforming search behaviour. They break down retrieval augmented generation, query fan out, selection rate optimisation and the importance of understanding model psychology. Dan explains how LLMs interpret and trim content, why traditional SEO foundations still underpin AI results, and how brands can test and strengthen their relevance within AI driven search environments. The discussion also covers probabilistic thinking, entropy, and practical ways to influence both grounded responses and long term model perception.
In this Go High Level review, James Dooley and Kazra Dash break down why they believe GoHighLevel is the best CRM software for lead generation, automation and conversion tracking. The discussion covers real world use cases, including commission based lead generation, speed to lead, multi channel nurturing and how consolidating multiple tools into one CRM reduces costs and increases efficiency.They explore key features such as the AI voice agent for out of hours lead capture, conversation AI chat bots trained from your website, multi step forms, automation workflows, email marketing, WhatsApp and SMS integrations, reputation management and tagging for advanced segmentation. James also shares practical case studies from finance and sports betting brands, explaining how better CRM structure directly improved conversion rates.If you are comparing CRM systems and want an honest breakdown of GoHighLevel features, pricing value and real business results, this video explains exactly how it works in practice.
James Dooley and Dan Petravvic discuss how AI SEO differs from traditional SEO because large language models rely on probabilistic selection, brand familiarity and internal training bias rather than simple keyword matching. Dan explains that optimising for Gemini, ChatGPT, Claude and Perplexity requires more than rankings since AI assistants select brands based on confidence scores and entity recognition. They explore selection rate optimisation, model bias, grounding citations and how Treewalker.ai surfaces low confidence tokens to strengthen brand positioning. The conversation highlights why branded search, user engagement signals and knowledge graph presence increase AI visibility because models prefer familiar, authoritative entities over thin exact match domains. They also cover generative interfaces, agentic AI, UserLM simulations and how synthetic user sessions help test AI selection behaviour.
James Dooley speaks with Dan Petravich about how AI has changed link building strategies because machine learning now detects unnatural link patterns more effectively than humans. Dan Petravich explains that traditional guest post tactics fail since predictable link placement creates obvious commercial signals. He describes training AI models to analyse how authoritative sites place links naturally, which allows SEOs to integrate links in ways that mirror real editorial behaviour. They also discuss brand authority, knowledge graph machine IDs and Wikidata, since AI systems such as Gemini rely on recognised entities and grounding sources to assign trust and visibility.
James Dooley speaks with Kasra Dash about using AI agents and voice AI inside GoHighLevel CRM because automated responses improve lead conversion and reduce missed opportunities. Kasra Dash explains that performance depends on building a detailed knowledge base, since the AI can only respond accurately to what it has been trained on. They discuss web crawling key pages, manually adding FAQs, and setting conversation goals so the AI collects names, emails and phone numbers naturally. James Dooley highlights that 24/7 AI handling increases response speed and nearly doubles conversion rates because faster follow up and structured fact-finding nurture leads more effectively.
James Dooley speaks with Mike Love about knowledge panels for affiliate sites because Google increasingly ranks real, verifiable businesses over anonymous blogs. Mike Love explains that affiliate sites can obtain knowledge panels through press coverage, e-commerce integration, Google Merchant Center, Google Business profiles, and published works, since entity recognition grows when search demand and third-party corroboration increase. They discuss why founders should build personal knowledge panels to strengthen site entities, as Google connects experts to brands in its knowledge graph. Mike Love highlights schema as the glue that reduces disambiguation and increases clarity, which improves trust signals and long-term visibility.
James Dooley speaks with Dennis Yu about the dollar a day strategy because small daily ad tests compound into scalable growth. Dennis Yu explains that the method is a testing framework, not a platform hack, since brands publish multiple short videos, measure retention and watch time, then increase spend only on proven winners. They discuss how authentic, low production clips often outperform polished ads because audiences trust real moments more than staged content. Dennis Yu shares results from HVAC Quote and major brands, showing that data driven iteration reduces wasted spend and increases conversions over time.
James Dooley speaks with Dennis Yu about why personal branding is risk management rather than ego because reputation acts as insurance against negative events. Dennis Yu explains that what other people say carries more weight than self-promotion, so businesses should focus on delivering results, generating real testimonials, and amplifying third-party praise. They discuss serving a clear avatar, building deep relationships, and creating consistent positive signals that override potential reputational damage. Dennis Yu frames personal branding as deposits in a bank account, since strong credibility and public proof protect against future setbacks and strengthen AI visibility.
James Dooley speaks with Dennis Yu about Google Knowledge Panels and how to earn a KGMID for a person or business. Dennis explains why knowledge panels matter for branded searches, AI search visibility, and credibility because Google uses corroborated entity signals to decide who is notable. They break down disambiguation, entity clarity, and how to connect a personal brand site, schema, and social profiles to reduce confusion. Dennis shares a practical playbook using podcasts as long-form proof, then repurposing that content into books, YouTube assets, images, and third-party citations to create consistent signals across the web. The episode also covers “people also search for”, niche selection for bestseller categories, and why behavioural signals like traffic and reviews help reinforce authority. Dennis suggests cross-publishing and prioritising business value and audience context rather than trying to rank everywhere for a name.
James Dooley speaks with James Norway about AI SEO, also known as GEO, and why it needs its own strategy beyond traditional SEO. James Norway explains what is changing inside large language models, why citations and corroboration matter more than links, and how agencies can package GEO based on what clients actually want. The conversation covers practical tactics like AI share buttons, question-led content, LLMs.info pages, and basic technical checks such as ensuring GPTBot is not blocked. James also breaks down why query fan out and misinformation audits are becoming core services, because AI can ignore a number one Google ranking when brand signals and consensus are weak elsewhere.
James Dooley speaks with Benjamin Tannenbaum about what people ask in ChatGPT, Gemini and other large language models because AI search changes query structure and compresses the funnel. They explain that prompts are longer, more specific and often more personal than Google keywords or Reddit posts, which forces marketers to adjust content coverage and distribution. Benjamin Tannenbaum describes search density, one shot behaviour, and why brands should update key pages for high priority intents because relevance to specific constraints increases selection in AI answers.
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