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across industries and countries helps uncover what is genuinely working in today's algorithms rather than relying on outdated conference advice.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.