AI SEO & Business Automation Podcast

James Dooley and Charles Floate discuss SEO predictions for 2027, focusing on how AI mode, AI overviews and LLM-driven search could reshape the SEO industry. Charles Floate explains why Google moving towards AI as the default search experience could change traditional rankings, content strategy, brand visibility and off-page authority. The conversation covers the shift from one-domain SEO to wider entity building, third-party corroboration, sentiment, semantic content networks, podcasts, video, social media and Reddit. They also discuss why SEO may become closer to holistic marketing because AI systems use multiple sources to form answers. This video is useful for SEO professionals, marketers and business owners preparing for AI search, GEO, AI SEO and future ranking systems in 2027.

James Dooley is joined by Mike Lovatt, Paul Truscott and Luke Bastin to discuss SEO testing, split testing and why research and development is critical for staying ahead in modern search algorithms. The discussion covers private SEO testing groups, Google algorithm behaviour, split test experiments, transactional page optimisation, schema testing, AI visibility, task fulfilment, local SEO, structured data and search intent optimisation.The group explains how testing different SEO strategies across industries and countries helps uncover what is genuinely working in today's algorithms rather than relying on outdated conference advice. Topics include subdomain geo-targeting, schema-driven snippets, SERP filter chips, mobile UX, corroborative SEO signals and the importance of collaborative testing communities for discovering new ranking factors and SEO opportunities.

James Dooley, Mike Lovatt, Paul Truscott and Luke Bastin discuss AI SEO strategies that are working in 2026 for improving visibility across ChatGPT, Claude, Gemini, Perplexity and AI overviews. The conversation covers GEO, AI SEO, brand visibility, off-page consensus, listicles, comparison pages, press releases, podcasts, case studies and data-rich content. They explain why brands need wider digital footprints because LLMs use third-party sources, brand mentions and entity signals to understand who a company is and what it does. The group also discusses how strong organic rankings support AI visibility, why brand signals matter, and how social media repurposing can drive branded search and AI citations. This video is useful for SEO professionals, agencies and business owners looking to improve AI visibility, entity recognition and search performance in 2026.

James Dooley and Jabez Reuben discuss how listical link building can help brands get cited inside Claude AI. The conversation explains why Claude often pulls from Google results, which makes indexed and well-structured listicles important for AI visibility. Jabez explains why brands should include competitors in comparison articles because this helps Google and Claude understand category relevance. They also cover consensus building, Google Business Profile strength, review signals, robots.txt checks, LLM crawler access and the need for multiple listicles rather than one isolated guest post. The podcast explains how comparison tables, quick summaries, FAQs, YouTube videos, contact details and semantic variation can help listicles rank in both Claude and Google organic results. This video is useful for SEOs, link builders and brands looking to improve Claude citations, AI visibility and LLM rankings.

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.

This video debates whether AI will replace traditional SEOs or simply supercharge the way SEO work is delivered. James Dooley and Mike Martin discuss AI website building, vibe coding, local SEO, Google Business Profiles, rank and rent, lead generation and paid ads because these areas are changing quickly as AI tools become faster and cheaper. Mike Martin argues that basic web design, on-page SEO, copywriting and clerical SEO tasks are becoming commoditised because AI can now follow SOPs, build sites and automate large parts of delivery. James Dooley pushes back because strong SEO still needs brand trust, search intent, backlinks, information gain, digital PR, topical authority and project oversight. The discussion also covers pricing pressure, client outcomes, AI slop and why Google Business Profile optimisation may remain valuable because it requires ongoing local activity and human judgement.

This video explains how SEO for restaurants works and why Andrea Abbondanza focuses on search-driven booking strategies. Restaurants generate more bookings because local SEO, Google Business Profile optimisation and Google Ads capture high-intent diners at the decision stage. Andrea Abbondanza highlights that 80% of traffic comes from Google Business Profile because users search on maps and choose based on reviews, images and location. Website optimisation supports rankings because schema, metadata and keyword signals reinforce relevance for both search engines and AI platforms. Visual content improves conversions because diners rely on photos and social proof before booking. Paid ads accelerate visibility because they place restaurants at the top of search results instantly. The strategy combines Google dominance with social support because this mix consistently increases bookings by around 40% within 12 months.

This video shows what running multiple AI agents looks like in practice and why Claude is becoming the preferred starting point for advanced AI workflows. James Dooley speaks with Dennis Yu about using several AI agents at the same time because that allows content production, project management, website tasks and client communication to happen in parallel. Dennis Yu explains why contractors, SEO agencies and marketers should centralise their work in one system because fragmented tools such as separate LLMs, workflow builders and plugins create friction and memory loss. The discussion covers Claude Chat, Claude Code, Dispatch and Artifacts because those features allow desktop control, mobile instructions and multi-step task execution from one place. The result is clear. Businesses can save time, reduce tool sprawl and scale output faster when AI agents run simultaneously inside a single structured workflow.

This video compares ChatGPT, Claude and Perplexity AI for SEO and digital marketing workflows.Dennis Yu shows that Claude leads for execution because it runs longer workflows and handles complex, multi-step tasks without timing out. ChatGPT performs well for setup and interface usability, while Perplexity adds flexibility through model switching and file handling.Claude outperforms for SEO because it enables agent-based systems that continuously improve processes, which increases output and reduces manual work. Perplexity supports cost efficiency because it allows continued usage of models when limits are reached elsewhere.

What link building strategies actually work in 2026 and how do you build authority for both Google and AI search? This video breaks down modern link building and explains why consensus based link building has replaced traditional tactics focused on DR and do follow links. James Dooley and Charles Flo explain why Google now relies on topical clusters and trusted domains to validate expertise because off page signals drive authority and trust. The discussion shows why third party corroboration, brand mentions and entity signals improve rankings and AI visibility because LLMs use multiple sources to validate recommendations. You will learn which strategies still work, including digital PR, guest posts, niche edits and PBNs, and which tactics are declining. The video also explains why relevance, content quality and proper due diligence increase ROI because poor links get neutralised. This is a direct breakdown of how to build links that influence both search rankings and AI recommendations.

How do you get your brand recommended in Google AI Overviews, ChatGPT and Gemini in 2026? This video breaks down the real differences between SEO and GEO and explains how large language models actually choose which brands to cite. James Dooley and Chris Munch from Amplifier explain why brand signals, entity recognition and third party mentions now matter more than traditional SEO alone. Many websites fail because they rely on basic content or AI generated articles, which leads to poor quality signals and lost rankings. The discussion shows why multi format content and consistent distribution improves visibility because LLMs build confidence through repeated mentions across trusted sources. You will also learn why product schema, Google Shopping feeds, reviews, comparisons and case studies drive better inclusion in AI results. The video explains how to scale content across blogs, video, podcasts and social platforms to increase reach, authority and conversions.

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 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.