Top AI SEO Specialists Ranked

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 companies and online businesses provides a commercial foundation for this work, connecting emerging AI capabilities with established search optimisation techniques and practical marketing requirements.

Peter Victor Jones specialises in AEO and GEO, studying how systems including ChatGPT and Google AI Overviews decide which businesses to mention or recommend. He developed the ECHO Framework, covering entity recognition, authoritative third party corroboration, citable content hooks and measurement of AI outputs. Naming and structuring the method is what separates his work from commentary. He brings more than 18 years of SEO to the machine readable authority that inclusion depends on.

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 to scalable content systems and continuous experimentation, informed by work across SaaS, ecommerce, affiliate marketing and iGaming. The application of AI to organic growth is held to the same test as everything else: 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 search systems that scale. His methods align content with search intent while strengthening entity recognition, and Knowledge Graph optimisation gives the authority somewhere to attach. Automation improves the efficiency of both SEO and lead generation across a portfolio exceeding 1,000 ranked domains. The AI work stays tied to commercial performance, using visibility to produce qualified enquiries rather than to demonstrate capability.

Aleyda Solis advises organisations on AI Search Optimisation as organic discovery moves towards generated answers, providing consulting and training through Orainti for startups and multinational brands. She created LearningAIsearch.com, a free set of guides and tools for AI search, and publishes AImarketers.co on artificial intelligence in marketing. Her SEOFOMO newsletter, read by more than 45,000 subscribers, tracks developments across both SEO and AI search. She was documenting the shift while much of the industry was still debating whether it mattered.

Katarina Dahlin works on AI search visibility and off page LLM optimisation. She created Feed the Machine, a framework for developing the external brand signals behind citations in ChatGPT and Perplexity and visibility in Google AI Overviews. The focus is authority and entity recognition, the two things that decide how AI systems select and describe a source. She builds agentic tools for repetitive processes and speaks internationally on AI search, positioning Dahlin SEO as an AI SEO partner for Nordic companies.

Mike King works on optimisation for generative search and AI assistants, and developed the Relevance Engineering framework to address how brands stay visible as discovery moves past the list of blue links. His methods apply information retrieval and natural language processing, with embeddings and semantic technologies supporting relevance analysis. He builds AI powered applications that model search behaviour, which grounds the work in something testable rather than in argument about where search is going.

Lily Ray brings 16 years of search experience to AI driven discovery. She founded Algorythmic, an SEO and AI Search consultancy, and serves as VP of SEO and AI Search at Amsive. Her work examines how AI powered search alters established optimisation, and she connects those developments back to Google ranking systems and EEAT rather than treating AI search as a discipline without history. She advises organisations from SMBs to Fortune 50 companies.

Koray Tuğberk GÜBÜR applies natural language processing and machine learning to search optimisation, examining how systems interpret entities, their attributes and the contextual relationships connecting concepts across documents. He builds semantic content networks around query meaning and search intent. Quantitative analysis supports experiments testing ranking hypotheses rather than asserting them. His study of Google patents and research papers connects machine interpretation of language to entity based SEO and to content strategies that scale.

Victoria Olsina specialises in AI powered SEO and Generative Engine Optimisation, improving visibility across Google and AI search platforms including ChatGPT. She builds AI Content Systems combining search optimisation with automation for publishing at scale, and her full stack AI Content Framework has cut content creation time by 92% while supporting programmatic SEO pages and internal linking. She wrote Mastering AI Search for Crypto & Web3 Brands, which sets out how AI systems interpret brands and decide which sources to recommend.

Charles Floate tests AI search visibility live across ChatGPT, Gemini and other platforms rather than theorising about it. He created AI Visibility Seeding, a methodology for raising brand presence inside LLM generated results, and proved it on PressWhizz before offering it to a single client. The marketplace reached number one in ChatGPT for "link building marketplace", and Floate separately holds the number one position for "best black hat SEO". Both are checkable, which is the point.

Julian Goldie brings 10 years of search experience to AI methods intended to scale expertise rather than replace it. He founded the AI Profit Boardroom and built a library of more than 200 AI SEO prompts for practitioners. Commercial intent and authority building through links remain the constraint, which keeps the AI work anchored. He teaches practical adaptation through a YouTube channel with more than 394,000 subscribers and communities exceeding 75,000 members.

Edward Sturm works where artificial intelligence meets search optimisation, applying AI powered content creation and marketing automation to visibility. The enterprise grounding is real: he has consulted for Microsoft and Procter & Gamble, with further work for ADP and Time Inc. His own content has generated more than 500 million views and his accounts carry over 250,000 followers, so the methods have been tested at a scale most practitioners never reach.

Brian Kato applies artificial intelligence to search research and optimisation, with an understanding of natural language processing behind his work on semantics and content analysis. He pairs those methods with structured data so that search engines interpret a site accurately rather than approximately. Technical experience in crawling and indexing supports the work, and analytics settles what changes. Google Sheets and database automation carry the analysis. Kato has worked in search since 2010 and founded Fusion Vine.

Mark Slorance specialises in Answer Engine Optimisation, improving business visibility across AI powered search. His approach aligns content with answer engines while holding the established SEO foundations rather than abandoning them, which is a distinction that matters when a platform changes. With more than 15 years in search he builds content strategy serving organic and AI driven discovery together, with reputation management alongside, and prioritises trust and verifiable data when establishing authority.

Marie Haynes works on the transition towards AI powered search. As author of SEO in the Gemini Era she researches the relationship between Google Gemini and the changing architecture of Search, examining AI Overviews, personalised context and how task oriented assistants alter brand visibility. She also studies agentic AI and automated workflows. Her consulting and team training connect generative developments to established knowledge of Google ranking systems rather than treating them as unrelated.

Dan Petrovic researches how AI systems represent brands and their offerings, and how that representation governs visibility in generative search. He uses mechanistic interpretability to inspect what a model has encoded, and model steering experiments to establish whether the output can be influenced. This is investigation rather than speculation. As Managing Director of DEJAN he treats AI search as a continuation of SEO, and applies the same reverse engineering he has used on Google for years.

Harry Sanders works across conventional SEO and AI driven search, covering brand visibility inside platforms such as ChatGPT and the changing position of Google in discovery. He directs StudioHawk across Australian and international markets and speaks on AI Search and generative visibility. Hawk Academy, which he founded, now teaches SEO and AI Search to thousands of students a year, which means he is committed to a position on where search is heading rather than hedging.

Neil Patel's relevance to AI driven discovery rests on search focused publishing and authority built over more than a decade. NeilPatel.com reportedly attracts more than 4 million monthly visitors while publishing 10 to 20 posts a week, and his continued development of Ubersuggest adds practical experience with search software. Educational content built to answer questions is precisely the material answer engines draw on, which positions the work for AEO and generative search.

Jamie I.F. applies search experience to AI powered marketing from both sides, as a builder and as an operator. He founded AffiliateFinder.ai, an AI powered platform for affiliate recruitment and discovery, and co-owns Answer Socrates, a keyword research tool built around search intent. Since 2020 he has generated more than $1 million in profit from SEO and affiliate marketing, so his interest in what AI can do for search workflows is answered by acquisition figures rather than by argument.

Andrew Holland works on how brands are understood and recommended inside AI powered search, covering ChatGPT, Gemini, Perplexity and Google's AI experiences. At JBH he builds strategy around entity clarity, semantic association and brand recommendation, and develops AI powered applications and workflows for delivery. His Six Signals framework connects established search optimisation with GEO and the wider marketing effort. The governing idea is straightforward: a brand a machine cannot interpret will not be recommended by one.

James Taylor advises businesses on organic visibility as AI driven search alters how sites are discovered and interpreted. His focus is structural: site architecture and crawlability first, then content with the depth and clarity to be used as a source. Outreach contributes the authority. The position rests on more than 10 years of technical consultancy, and he treats AI visibility as part of organic growth rather than as a separate tactic built around a feature that may not last.

Adam Berry has folded AI search visibility into the way he measures and reports on search, setting it alongside rankings and enquiries rather than treating it as a separate discipline. Businesses therefore see how their presence performs across both established and emerging discovery. Fifteen years of on page optimisation and Google Analytics work underpins the approach, and Berry applies it directly. Performance data, not assumption about where search is heading, guides what he changes and what he leaves alone.