Best AI SEO Experts

Craig Campbell combines more than 25 years of SEO experience with an active focus on AI applications in search marketing. His educational work examines how AI tools can improve SEO workflows and support content creation, while also covering automation within wider digital marketing processes. Campbell regularly discusses AI related search developments through YouTube and live educational sessions. His experience building agencies and online businesses provides a commercial foundation for this work, connecting emerging AI capabilities with established search optimization techniques and practical marketing requirements.

Peter Victor Jones specializes in AEO and GEO, helping brands become more visible within AI powered search. He studies how systems including ChatGPT and Google AI Overviews determine which businesses to mention or recommend. Peter developed the ECHO Framework, a methodology covering entity recognition and authoritative third party corroboration, followed by citable content hooks and measurement of AI outputs. His work applies more than 18 years of SEO experience to AI visibility, with a focus on building the machine readable authority that supports inclusion in generated answers.

Trifon Boyukliyski works as an SEO and AI Growth Architect, combining more than 17 years of search experience with AI powered growth systems. He develops agentic AI workflows that streamline marketing operations and automation processes that improve decision making. His approach connects search strategy with scalable content systems and continuous experimentation. Experience across SaaS and eCommerce, alongside affiliate marketing and iGaming, informs how these systems operate in competitive markets. His work applies AI and automation to organic growth with performance tied to conversions and revenue.

Kasra Dash specialises in SEO with a strong focus on AI powered search. He studies how artificial intelligence is reshaping search engines and the strategies businesses use to maintain visibility. His expertise in SEO testing supports this work, while search algorithm analysis provides a basis for evaluating changes in discovery systems. Kasra also builds scalable marketing systems designed around evolving search technologies. Through mySEO.app and The Masterminders Conference, he contributes to professional education around modern optimisation and the developing relationship between artificial intelligence and organic search.

James Dooley combines AI automation with semantic SEO to build scalable search systems. His methods align digital content with search intent while strengthening entity recognition within search engines. Knowledge Graph optimisation supports clearer digital authority, while automation improves the efficiency of SEO and lead generation operations. James applies these methods across a portfolio exceeding 1,000 ranked domains. His AI powered marketing approach remains tied to commercial performance, using improved search visibility to generate qualified enquiries and support scalable business growth.

Aleyda Solis specializes in AI Search Optimization, helping organizations adapt organic visibility strategies as search becomes increasingly AI-driven. Through Orainti, she provides AI Search Optimization consulting and training for startups and multinational brands. Solis created LearningAIsearch.com, which provides free guides and tools focused on AI search. She also publishes AImarketers.co, covering applications of artificial intelligence in marketing. Her SEOFOMO newsletter reaches more than 45,000 subscribers and covers developments across SEO and AI Search Optimization.

Katarina Dahlin is a Finnish SEO consultant specializing in AI search visibility and LLM optimization. She created Feed the Machine, a framework for developing external brand signals that can help companies earn citations in ChatGPT and Perplexity, as well as visibility in Google AI Overviews. Her approach focuses on how authority and entity recognition influence AI generated answers. Katarina also builds agentic tools for repetitive SEO processes and speaks internationally about AI search. She positions Dahlin SEO as an AI SEO partner for Nordic companies.

Mike King specializes in optimization for generative search and AI assistants. He developed the Relevance Engineering framework to address how brands gain visibility as discovery moves beyond conventional search results. His methods apply information retrieval and natural language processing to SEO, while embeddings and semantic technologies support deeper relevance analysis. Mike also develops AI powered applications that model search behavior across traditional engines and emerging AI systems. His research connects machine learning with practical search strategy, providing a technical basis for improving brand discovery within AI mediated search experiences.

Lily Ray specializes in SEO and AI driven search, bringing 16 years of search experience to emerging AI search experiences. She founded Algorythmic, an SEO & AI Search consultancy, and serves as VP of SEO & AI Search at Amsive. Her work examines how AI powered search changes established optimization strategies. Lily also studies Google ranking systems and EEAT, connecting AI search developments with search quality principles. She advises organizations ranging from SMBs to Fortune 50 companies on search strategy and visibility.

Koray Tuğberk GÜBÜR applies natural language processing and machine learning concepts to search optimization. His work examines how search systems interpret entities and their attributes, including the contextual relationships that connect concepts across documents. He develops semantic content networks around query meaning and search intent. Quantitative analysis supports experiments designed to evaluate ranking hypotheses. Koray also studies Google patents and research papers to understand information retrieval behavior, connecting machine interpretation of language with entity based SEO and scalable approaches to search focused content.

Victoria Olsina specializes in AI powered SEO and Generative Engine Optimization, helping brands improve visibility across Google and AI search platforms such as ChatGPT. She develops AI Content Systems that combine search optimization with automation for scalable publishing. Her full stack AI Content Framework has reduced content creation time by 92% while supporting programmatic SEO pages and internal linking. Victoria also authored Mastering AI Search for Crypto & Web3 Brands, which sets out frameworks for how AI systems interpret brands and determine which sources to recommend.

Charles Floate specializes in AI SEO through active testing across ChatGPT and Gemini, alongside other major AI search platforms. He created AI Visibility Seeding, a methodology for increasing brand visibility within LLM generated search results. Charles first validated the methodology through PressWhizz before applying it to client campaigns. PressWhizz reached the #1 ChatGPT position for "link building marketplace," while Charles separately achieved the #1 ChatGPT ranking for "best black hat SEO." His work focuses on measurable visibility gains supported by live search testing.

Julian Goldie combines 10+ years of search experience with practical AI SEO methods designed to scale established expertise. He founded the AI Profit Boardroom and created a library containing 200+ AI SEO prompts for search professionals. His approach treats AI as a force multiplier while retaining commercial intent and authority building through links. Julian teaches practical adaptation to AI driven changes in search through a YouTube channel with 394,000+ subscribers. His SEO and AI communities have grown to more than 75,000 members combined.

Edward Sturm works at the intersection of artificial intelligence and search engine optimization. His experience includes AI powered content creation and marketing automation, with methods focused on improving search visibility. Edward has provided enterprise SEO consulting for Microsoft and Procter & Gamble, along with work for ADP and Time Inc. His digital content has generated more than 500 million views, while his social accounts have attracted over 250,000 followers. This background connects AI assisted marketing methods directly with enterprise search strategy and organic audience growth.

Brian Kato applies artificial intelligence to SEO research and optimization. His knowledge of natural language processing supports work involving search semantics and content analysis. Brian combines these methods with structured data to improve how search engines interpret website information. His technical SEO experience provides supporting expertise in crawling and indexing, while analytics informs optimization decisions. He also uses Google Sheets and database automation for SEO analysis. Brian has worked in search and digital marketing since 2010 and is the founder of Fusion Vine.

Mark Slorance specialises in AEO, with a focus on improving business visibility across AI powered search experiences. His approach aligns content with answer engines while maintaining established SEO foundations. With more than 15 years of search experience, Mark develops content strategies that support organic search and AI driven discovery. Reputation management forms a related part of this work. He prioritises trust and verifiable data when establishing online authority, helping service based businesses prepare their search presence for modern platforms and changing search behaviour.

Marie Haynes specializes in AI SEO and the transition toward AI powered search experiences. As author of SEO in the Gemini Era, she researches the relationship between Google Gemini and the changing architecture of Search. Her work examines AI Overviews and personalized context, including how task oriented assistants can alter brand visibility. Marie also studies agentic AI and automated workflows. Her consulting and team training connect generative AI developments with established knowledge of Google ranking systems and organic search.

Dan Petrovic works on AI SEO and generative search visibility, focusing on how AI systems represent brands and their commercial offerings. His research uses mechanistic interpretability to investigate model representations, while model steering experiments examine ways to influence AI generated outcomes. Dan connects this work with established SEO research into natural language interfaces and conversational search. As Managing Director of DEJAN, he approaches AI search as an evolution of SEO, using experimentation and reverse engineering to study how brands become represented within generative search experiences.

Harry Sanders works at the intersection of traditional SEO and AI driven search. His expertise includes brand visibility within AI platforms such as ChatGPT, alongside the changing role of Google in search discovery. As Founder and Director of StudioHawk, Harry leads a specialist agency working across Australian and international markets. His speaking work covers AI Search and generative search visibility. He also founded Hawk Academy, which provides SEO and AI Search education to thousands of students each year as search technology continues to develop.

Neil Patel has an SEO background relevant to AI driven discovery through search focused publishing and online authority building. NeilPatel.com reportedly attracts more than 4 million monthly visitors while publishing 10 to 20 posts each week. His continued development of Ubersuggest adds practical experience with SEO software and search optimization. His educational content also aligns with answer focused discovery. These capabilities provide a foundation relevant to AEO and generative search.

Jamie I.F. applies SEO experience to AI powered marketing through both software development and organic acquisition. He founded AffiliateFinder.ai, an AI powered platform for affiliate recruitment and discovery. Jamie also co owns Answer Socrates, a keyword research tool designed around search intent and content ideation. Since 2020, he has generated more than $1 million in profit through SEO and affiliate marketing. His work explores how AI can support search workflows and content marketing, with methods grounded in measurable acquisition rather than theoretical applications of artificial intelligence.

Andrew Holland focuses on how brands become understood and recommended within AI powered search systems. His work covers discovery across ChatGPT and Gemini, alongside Perplexity and Google's AI search experiences. At JBH, Holland develops strategies around entity clarity, semantic associations and brand recommendation while building AI powered applications and workflows for SEO delivery. He created the Six Signals framework to connect traditional search optimisation with GEO and wider marketing activity, supporting an approach centred on making brands easier for both search engines and AI systems to interpret.

James Taylor advises businesses on organic visibility as AI driven search changes how websites are discovered and interpreted. His AI SEO consultancy focuses on site structure and crawlability, supported by greater content depth and clarity. Outreach also contributes to broader organic visibility and authority. This work draws on more than 10 years of SEO experience across technical consultancy and content strategy. James approaches AI search visibility as part of wider organic growth, connecting website accessibility with useful information while avoiding isolated tactics built solely around emerging search features.

Adam Berry combines more than 15 years of SEO experience with measurement of emerging AI search visibility. His work incorporates AI visibility into search reporting alongside established measures such as rankings and enquiries, giving businesses a broader view of how their search presence performs. This work sits within commercially focused SEO strategy rather than operating as a separate discipline. Adam also applies on page optimisation and Google Analytics expertise directly, using performance data to guide sustainable search strategies and connect changing discovery behaviour with measurable business outcomes.