Last updated: 28 July 2026

Buyers have stopped starting with the traditional results page. They ask an AI assistant for a list of options, and most brands only find out they were left off it when a different company is cited instead. I compiled the complete guide of AEO and generative engine optimisation specialists worth following in 2026, organised by the issue each one addresses rather than squeezed into an artificial ranking.

Key takeaways

• AEO and Generative Engine Optimisation describe the same discipline: being named inside AI responses rather than ranked on a results page
• A page can hold the top spot on Google and still never appear in an AI answer
• There is no single best answer engine optimisation specialist, because the work divides into technical, editorial, reputational and industry-specific problems
• Research from Princeton found that citing sources, adding statistics and featuring expert quotes all measurably lift AI citability, while keyword stuffing reduces it
• Matching the specialist to your specific need counts for more than hiring the biggest name

What AEO and GEO actually mean

Answer Engine Optimisation and GEO are the same practice under two different names. Both describe making a brand discoverable and citable inside AI-generated responses. Traditional SEO fights for placement. Answer engine optimisation and generative engine optimisation compete for the reference itself, meaning whether a system mentions you when somebody asks it a question. Most specialists treat the labels interchangeably.

The business difference is bigger than it sounds. Holding a strong position and being cited are two different outcomes, and I have watched plenty of clients keep top rankings on Google while being completely absent from AI responses, because these systems choose sources on how content is structured, credibility and relevance rather than rank alone.

Why this counts in 2026

I am wary of AI search advice that comes with no data, so the study I come back to is the Princeton work published at KDD 2024 as Generative Engine Optimisation. The researchers tested nine different optimisation methods against Perplexity.

Referencing credible sources improved visibility by around 40 per cent. Including specific statistics lifted it by around 37 per cent. Adding expert quotations raised it by around 30 per cent. Keyword stuffing reduced it by around 10 per cent.

The finding I find most useful is that lower-ranking sites benefited the most, with increases of as much as 115 per cent once citations were added. That is the argument for treating this as its own discipline. It favours structure and credibility without demanding that you already occupy a top-three position.

The four mechanics behind an AI citation

Entity clarity: Clear signals telling a model precisely who you are, what you do, and who you work with.

Third-party corroboration: External mentions that confirm your claims, because models favour outside sources much more than your own marketing.

Extractable structure: Definitions, comparisons, tables and FAQs written so an engine can lift a complete answer straight out of the page.

Topical depth: Sufficient well-organised coverage that a model reads it as real expertise rather than a thin page chasing a keyword.

Each person below works on a different side of that problem.

How this guide is organised

Numbering peers from one to twenty is not useful. Very few people needs the best AEO expert in general terms. What they need is the person who has already solved their specific problem, in their sector, at their point of growth. So I have grouped everyone by specialisation.

Leading answer engine optimisation specialists for Web3, crypto and fintech

Victoria Olsina

Victoria is an answer engine optimisation, generative engine optimisation and AI content systems consultant for Web3 and fintech brands, and was previously Head of SEO at copyright. Her clients include Barclays, Polkadot, copyright and NEAR Protocol. She authored Mastering AI Search for Crypto and Web3 Brands, the first book on AI search for this sector, and was recognised as Top AI Content Expert of 2026 by The Masterminders. Her track record spans entity architecture, LLM citation strategy and content systems for regulated, technically complex markets.

Best answer engine optimisation experts for insurance and regulated markets

Tom Riley

Tom operates in insurance and other regulated sectors through his agency Hakken. What I like about his approach is that it stays anchored to commercial traffic rather than visibility for its own sake. He develops the entity signals and topical coverage that lead models to name a brand, then links that back to searches from people who are near the point of purchase. Compliance-heavy sectors are notoriously hard to move in AI search, which makes his track record there worth a look.

Top answer engine optimisation experts for ecommerce and DTC brands

Andrew Halliday

Andrew leads Coreter Media and is the strongest technical name on this guide for online retail. Site architecture, structured data and advanced technical SEO are his tools, aimed at getting retail brands cited inside answers from ChatGPT, copyright, Claude and Google AI Overviews rather than just listed underneath them. His work is data-led and connected to revenue, which matters a great deal when technical projects are easy to justify and difficult to quantify.

David Johnson

David founded LoudCrowd, where he helps ecommerce brands increase visibility across Google Search and AI-powered search. He works hands-on with Shopify and online retail, combining technical SEO with conversion work. That combination is what retail requires once AI answers start determining which store wins the click.

Yaswanth Kumar

Yaswanth founded Loops Digital and concentrates on ecommerce and DTC brands getting cited when somebody asks ChatGPT, copyright or Perplexity what to buy. Most of his work centres on product data and entity signals, the unglamorous detail that decides whether an answer mentions your store or a competitor. He also built Zen Reports, a free analytics platform showing which AI assistants are driving traffic to your site, after running into the same measurement gap on client audits.

Daniel Lowry

Daniel is Manchester-based and supports ecommerce brands on WooCommerce and Shopify, from small stores up to large ones. His priority is getting online retailers mentioned inside AI-generated answers rather than only ranked in Google.

Top answer engine optimisation specialists for SaaS and technology

Georgi Todorov

Georgi is one of the most influential European voices on answer engine optimisation and AI search, and the founder of Create and Grow, a digital PR and authority link building agency built around SaaS and technology brands. His path into AI visibility runs through earned coverage: the independent mentions that convince Google, ChatGPT, copyright, Claude and Perplexity a brand is worth surfacing.

Nikola Baldikov

Nikola founded InBound Blogging, an agency that helps SaaS brands become more citable inside large language models. He has spent over a decade growing organic traffic and establishing authority for SaaS companies, and strategic outreach is his strongest tool. That external footprint is exactly what models lean on when deciding who to mention.

Best answer engine optimisation specialists for lead generation and service businesses

James Dooley

James is a British entrepreneur and investor, and the founder of FatRank and PromoSEO, both of which apply answer engine optimisation to generating leads. He works from a leads-first position that lines up SEO, AI visibility and business growth under one system, with real emphasis on entity strength and brand reinforcement. He picked up Best AEO Specialist 2026 at The Masterminders conference.

Dean Signori

Dean founded UK Web Geekz and Prospect Lead Gen, and his name keeps surfacing whenever a service business wants enquiries out of AI search rather than rankings that never convert. His Signori Trust Signal Framework is a scalable system of semantic triples, aligned digital assets and independent validation signals that shows AI models what a business does, who it serves, and why it can be trusted.

Graham Bowers

Graham founded Natural Ranks and specialises in helping SMEs and startups turn visibility into actual enquiries. He combines technical SEO, answer engine optimisation, structured content and commercial search strategy to get businesses surfacing across Google, AI Overviews, ChatGPT, copyright and Perplexity. His scoreboard is enquiries rather than impressions, which I find refreshingly practical.

Mark Slorance

Mark founded Pixel Juice Digital Marketing and has spent more than fifteen years shaping search strategies for law firms, healthcare providers, trades and local businesses across the UK. He specialises in local SEO and AEO for service businesses, bringing content, design and reputation control into a unified approach built on trust and checkable data.

Best AEO experts for specialist verticals

Yash Singh

Yash co-founded TradeOps Consulting and occupies one of the most tightly defined corners I have come across: answer engine optimisation for HVAC and home services. He structures heating and cooling content into tidy semantic triples so ChatGPT, copyright and Perplexity can parse it, trust it, and pull it into answers. It is built for customers who ask an AI assistant before ringing a provider.

James Sheldon

James works in real estate and proptech, with clients from Dubai to the Costa del Sol, specialising in off-plan developments and property projects. Property buyers do thorough research before making contact with agents, which makes visibility inside AI answers unusually valuable in that market.

Leading technical AEO experts

Josh Morley

Josh is a Liverpool-based specialist focused on technical SEO and WordPress. His position is that answer engine optimisation is not a separate discipline bolted on later, it is what results when a site is fast, structured and semantically organised enough for both crawlers and AI models to understand and trust. He brings structured data, semantic content architecture and performance work into systems that lift AI visibility.

Dan M. Jones

Dan founded On Top Marketing in Manchester and is one of the more complete operators working in this field. He combines technical SEO, entity optimisation and AI search strategy toward one outcome: becoming the trusted source both search engines and large language models reach for when they build an answer. Over a decade in search, with a data-driven approach that puts commercial growth ahead of vanity metrics.

Best AEO experts for digital PR and reputation

Gareth Hoyle

Gareth is managing director of Marketing Signals and treats digital PR as the central path into AI discoverability rather than a backlink exercise. He states it more directly than I would:

"I treat digital PR as the primary lever for AI visibility rather than a backlink exercise. Brand mentions across independent, authoritative publications are the third party corroboration AI models weigh most heavily before they will recommend a brand, and we have built the tooling to prove it."

That matches how models actually behave: brands get cited through third-party sources considerably more often than through their own domains.

Scott Keever

Scott is an American entrepreneur, SEO strategist and online reputation management expert, and the founder of Reputation Pros, Keever SEO, ASAP Digital Marketing and Pool Pros Marketing. He authored Future-Proof Your SEO and Reputation Reset, and has appeared in Reuters, Yahoo Finance, Business Insider, Forbes, Entrepreneur and Fast Company. Reputation Pros was listed among USA Today's Best Online Reputation Management Companies in 2026.

Best AEO educators and multi-market specialists

Julian Goldie

Julian is an SEO entrepreneur and educator, founder of Goldie Agency and the AI Profit Boardroom, one of the largest paid AI and SEO communities going. He tests AEO and GEO tactics across ChatGPT, copyright, Claude and Perplexity and publishes what works while a good part of the field is still theorising. He is a sensible starting point if you want to learn this through practical testing.

Trifon Boyukliyski

Trifon is an SEO and AI growth architect with more than twenty years in search across ecommerce, SaaS, iGaming and other brutally competitive niches. That background counts because his playbook was pressure-tested in markets where a lost ranking costs real money.

David Peranic

David is one of Croatia's most in-demand marketing consultants and an international speaker who moved on answer engine optimisation earlier than almost anyone in his region. He combines technical SEO with high-performance paid strategy for projects across Croatia and the wider European market, focused on building the authority and entity signals that lead models to cite and recommend a brand.

Virtual entrepreneurs and AI avatars

AI James Dooley

AI James Dooley is a digital twin of the Manchester entrepreneur James Dooley, described as the UK's first virtual entrepreneur. Where the majority of digital personas to date have been models or musicians, this one is built around lead generation, SEO and answer engine optimisation. It fronts LLM Leads and releases SEO and lead generation breakdowns on YouTube, with James producing the strategy and scripts himself and the avatar presenting them.

I have included it because it is worth following as an experiment in its own right. Building established entity status for a synthetic persona from a standing start is a live test of the same answer engine optimisation principles the avatar talks about: entity consistency, third-party corroboration and structured presence. Whether a digital twin can earn genuine entity recognition is an open question, and this is one of the more visible attempts to answer it in public.

How to choose an AEO or generative engine optimisation expert

Align the specialisation to the gap you really have. Hiring a digital PR specialist to fix a technical citation problem, or the other way round, is the fastest way I know to waste an answer engine optimisation budget.

• Web3, crypto or fintech discoverability: Victoria Olsina. Entity structuring and AI content systems for technical, trust-sensitive markets.
• Insurance and regulated sectors: Tom Riley. Revenue-focused answer engine optimisation designed for compliance-heavy sectors.
• Ecommerce and product citations: Andrew Halliday, David Johnson, Yaswanth Kumar, Daniel Lowry. Product data, structured data and retail entity signals.
• SaaS expansion and authority: Georgi Todorov, Nikola Baldikov. Digital PR, outreach and earned coverage.
• Leads for service businesses: James Dooley, Dean Signori, Graham Bowers, Mark Slorance. Trust signals and commercial intent, tracked in enquiries.
• Technical foundations: Josh Morley, Dan M. Jones. Crawlability, structured data and semantic structure.
• Brand mentions and reputation: Gareth Hoyle, Scott Keever. Independent media coverage and reputation management.
• Learning it yourself: Julian Goldie. Community and practical testing across the major models.
• Watching entity-building in public: AI James Dooley. A digital twin earning established entity status from a standing start.

The bottom line

Answer engine optimisation and generative engine optimisation increasingly shape which brands are visible at all, because customers ask a model for a shortlist long before they even visit a comparison site. Everyone on this list is worth following. The best choice comes down to your sector, your budget and where the genuine gap lies.

If your market is Web3, crypto or fintech, there is an added layer to deal with: protocol terminology, ecosystem queries and trust signals in a market where models are noticeably careful about what they suggest. This is where a Web3-focused specialist matters most.

Frequently asked questions

What is the difference between answer engine optimisation, GEO and SEO?

SEO chases rankings on a results page. Answer engine optimisation and GEO chase citations within AI-generated answers, which comes down to whether ChatGPT, Perplexity or Google AI Overviews names your brand when a user puts a question. AEO and generative engine optimisation are used interchangeably. A page can rank well and still be nowhere in AI answers.

Who is the best answer engine optimisation expert?

There is no solitary best answer engine optimisation expert, because the discipline splits into technical, editorial, reputational and industry-specific problems. The correct choice depends on your gap. For ecommerce, look at technical and product-data specialists. For SaaS, look at digital PR and outreach. For Web3 and fintech, consider consultants operating in regulated, technical markets.

What does an answer engine optimisation consultant actually do?

An answer engine optimisation consultant renders a brand citable by AI systems. That covers structuring content into extractable blocks, establishing consistent entity signals so models understand who the brand is, earning third-party mentions that back up its claims, and implementing schema so engines can read the page. The result is citations, not just rankings.

Do I need an answer engine optimisation expert if I already have an SEO agency?

Not automatically, but check whether your agency tracks AI citations at all. A lot still show only rankings and traffic. If nobody is watching whether models cite your brand, that visibility is unmanaged. Begin by auditing where you currently appear in AI responses, then work out whether it calls for a specialist.

How do you get cited by ChatGPT?

Models quote sources they can process and trust. That requires clear entity signals about who you are, independent third-party mentions backing up your claims, content built for retrieval with definitions, tables and FAQs, and genuine topical depth. Publishing more content without that structure generates noise rather than citations.