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 and Charles Floate discuss the best SEO strategies working in 2026, focusing on how Google’s algorithm is shifting towards AI overview support, consensus-led content and verifiable information. Charles explains how topical authority, site focus, schema, third-party corroboration, link building and tier two link activation influence rankings because Google needs clear, trusted and repeated signals to understand what should rank. The conversation also covers how AI search, ChatGPT, Gemini, Claude and Perplexity are changing SEO strategy, why consensus matters across multiple indexed sources, and how parasite pages can reinforce a target ranking position. They also discuss user engagement, Chrome-based signals, traffic activation, social boosts and the limits of short-term virality. This video is useful for SEOs, affiliate marketers, agencies and brands planning SEO growth in 2026.

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across industries and countries helps uncover what is genuinely working in today's algorithms rather than relying on outdated conference advice.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 and Charles Floate discuss how to increase AI search visibility across ChatGPT, Claude, Gemini and Perplexity. The conversation explains how brands can improve rankings and citations by understanding where their audience searches, how each AI model retrieves information, and how grounded search queries influence visibility. Charles Floate covers listicles, balanced sentiment, source trust, training data, Common Crawl, Internet Archive, PDFs and third-party content placement. The discussion also explains why consensus matters because AI systems need consistent entity signals across websites, podcasts, guest posts, reviews and case studies. They also explore query fan-outs, video SEO, YouTube transcripts, multimodal AI and how brands can build stronger entity understanding across text, audio, video and imagery. This video is useful for SEO professionals, marketers and brands looking to improve AI visibility and LLM citations.

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 helps brands get cited in Google Gemini AI overviews. The conversation explains why listicles work well for Gemini because they create structured, indexable and retrievable content across third-party sources. Jabez explains that DR, DA and traffic are less important than whether the article gets indexed, ranks in Google and avoids blocked LLM crawlers. They also cover robots.txt checks, Claude skills, semantic writing, comparison tables, FAQs, internal links, authority references, YouTube videos and infographics. The discussion highlights why one listicle is not enough, as Gemini needs consistent consensus signals across local, citywide, regional and nationwide coverage. This video is useful for SEOs, link builders and brands looking to improve Gemini citations, AI overview visibility and organic search rankings.

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 can help brands get mentioned and cited inside ChatGPT. The conversation explains how ChatGPT uses query fan-out, source retrieval and consensus signals to identify relevant brands across different niches. Jabez explains why listicles make information easier for LLMs to retrieve and why brands need more than one article to influence AI search results. The podcast covers comparison articles, competitor mentions, dealbreaker content, direct reviews, variation building and third-party content placement. They also discuss why appearing alongside established competitors helps ChatGPT understand category relevance and entity positioning. This video is useful for business owners, SEO professionals and link builders who want to improve ChatGPT visibility, AI citations, LLM rankings and brand mentions through structured listicle campaigns.