There’s no official body that ranks the top 10 SEO AI experts to follow in 2026. Nobody hands out a certificate. Search has splintered instead. Google AI Overviews, ChatGPT, Gemini, Perplexity, all of them pulling attention away from the ten blue links most of us cut our teeth on. The people worth your time aren’t the loudest ones on LinkedIn. They’re the ones actually running tests and sharing what breaks.
This isn’t a popularity contest, and it won’t pretend to be one. The order below is editorial, not a leaderboard, and each name earns its spot for a different slice of SEO or AI search expertise. One question drove the whole list: if you only had time to follow ten people on this topic, who’d actually teach you something?
How We Selected the Top 10 SEO AI Experts to Follow
No single authority ranks SEO AI experts, so treat this as a working shortlist, not gospel. Selection came down to a mix of things: practical SEO experience, published analysis people can actually check, willingness to run experiments in public, relevance to AI search specifically, and a track record of contributing back to the community instead of just talking at it.
Follower count got ignored on purpose. Big audiences don’t always mean useful research, and some of the most technically solid practitioners barely post. The goal here was usefulness over reach. Someone whose work you can actually learn from, whether that’s technical SEO, E-E-A-T, semantic search, testing methodology, or AI visibility.
What Makes Someone an SEO AI Expert Right Now
The phrase gets thrown around loosely, honestly. A genuine SEO AI expert today usually does a couple of things well: runs their own tests instead of repeating Google’s talking points, actually understands how large language models retrieve and cite information (not just how they generate text), and can explain where traditional ranking ends and getting mentioned inside an AI answer begins. Some come from a purely technical background: crawling, indexing, structured data. Others built their name on content trust signals. A handful are newer to the scene simply because generative search itself is new. None of that makes one lane more legitimate than another.
Top 10 SEO AI Experts at a Glance
| Expert | Main Specialty | Best For |
|---|---|---|
| Aleyda Solís | Technical & international SEO | Global, multi-market sites |
| Lily Ray | E-E-A-T & core updates | Content trust and quality |
| Rand Fishkin | Audience intelligence | Understanding where traffic actually goes |
| Mike King | Technical SEO & information retrieval | Advanced, mechanics-first SEO |
| Koray Tuğberk Gübür | Semantic SEO | Topical authority |
| Jason Barnard | Entity SEO | Knowledge Graph and brand visibility |
| Kevin Indig | SEO growth strategy | Explaining AI’s impact to leadership |
| Matt Diggity | SEO testing | Experimentation and ranking factors |
| Craig Campbell | AI-assisted workflows | Freelancers and small agencies |
| Szymon Słowik | AI-mode SEO | NLP and entity optimization |
Technical and International SEO
Aleyda Solís runs Orainti, an international SEO consultancy, and has spent years untangling crawl budget, hreflang, and multi-market problems for large sites. What makes her worth following now is that she applies the same rigor to AI search, treating AI Overviews and AI Mode as another surface to measure rather than something mysterious. If your site spans countries or languages, her frameworks translate directly.
Mike King, founder of iPullRank, comes from an information retrieval background and has published detailed work on search systems and how modern AI technologies affect content discovery. Good follow if you want the technical mechanics explained without the hype layered on top.
Trust, Quality, and E-E-A-T
Lily Ray built her reputation tracking Google’s core updates and has become one of the clearer voices on how E-E-A-T (experience, expertise, authoritativeness, trust) plays into both traditional rankings and AI-generated answers. Especially useful for YMYL sites in health, finance, and legal niches, where trust signals carry more weight than almost anywhere else.
Audience and Search Behavior
Rand Fishkin, founder of SparkToro and formerly of Moz, has spent the last several years focused less on rankings and more on where attention goes once someone leaves the results page. His research on zero-click search is a useful counterweight if you’ve been assuming every AI Overview automatically means lost traffic. The picture’s more nuanced, and his data backs that up.
According to SparkToro’s audience research, attention patterns around search results have been shifting for years, well before AI Overviews entered the picture. The “zero-click” trend isn’t purely an AI-era phenomenon.
Semantic SEO and Entities
Koray Tuğberk Gübür built a following around semantic SEO, topical authority, and how search engines model entities and the relationships between them. His work leans academic, which makes it a slower read, but if you want to understand why Google (and AI systems trained on similar signals) connects certain topics together, it’s worth the effort.
Jason Barnard specializes in Entity SEO and Knowledge Graph optimization: how a brand or person gets correctly recognized and represented across search and AI systems. Matters more than ever for GEO, since AI systems often lean on retrieved web information and established entity relationships when constructing answers, though the exact retrieval process still varies between systems.
Szymon Słowik rounds out this group with a focus on AI-mode SEO, natural language processing, and entity optimization, from an agency practitioner’s angle rather than a purely research-driven one.
Growth, Strategy, and Practical Workflows
Kevin Indig writes regularly about how AI is reshaping organic traffic at a strategic level, useful if you’re trying to explain the shift to leadership rather than to other SEOs. He tends to back points with data pulled from real client and industry trends instead of speculation.
Matt Diggity, founder of The Search Initiative, is known for testing ranking factors directly and tracking how algorithm behavior shifts over time. Particularly useful if you care about SEO testing and measuring how search changes actually affect performance, not just theorizing about it.
Craig Campbell focuses on practical, AI-assisted SEO workflows, less theory, more “here’s exactly how I did this.” Good follow for freelancers and small agencies who need steps they can copy this week, not a research paper.
Which Expert Should You Actually Follow?
Pick two or three and match them to your actual problem instead of grabbing names at random. Technical or international issues? Start with Aleyda Solís or Mike King. Worried about trust after an algorithm update? Lily Ray. Trying to figure out where your traffic is really going? Rand Fishkin. Want to understand why AI systems connect certain topics? Koray Tuğberk Gübür or Jason Barnard. Need workflows you can copy this week? Craig Campbell.
Sorting your own fundamentals matters here too. A lot of AI visibility problems trace back to old-fashioned issues: pages that don’t get crawled properly, thin content, weak internal linking. No amount of GEO theory fixes that on its own.
It’s worth reading through common technical SEO issues that quietly stop pages from ranking before assuming your AI visibility problem is something exotic. Most of the time it isn’t.
SEO vs AEO vs GEO
| Approach | Main Goal |
|---|---|
| SEO | Earn visibility in traditional search results |
| AEO | Provide direct, extractable answers to questions |
| GEO | Improve how brands and content get represented in generative answers |
In practice these overlap more than they compete. AEO and GEO both lean heavily on the same fundamentals SEO has always cared about. They just add a layer of thinking about how content gets summarized and cited rather than only ranked.
SEO and GEO Aren’t Two Separate Games
Nearly every expert on this list agrees on one thing, even when their specialties differ: Generative Engine Optimization isn’t replacing SEO, it’s extending it. AI search systems draw on many of the same web signals used in traditional search, though their retrieval and citation processes can differ considerably from page to page. What’s changed is that a well-optimized page might now get summarized and cited inside a conversational answer instead of, or alongside, earning a click.
One thing is becoming clearer by the month: Google’s own guidance states that the same foundational SEO practices remain relevant for AI Overviews and AI Mode: crawlability, indexability, internal linking, useful text content, page experience, accurate structured data. Nothing in that list is a secret GEO formula.
For a broader picture of how this shift is playing out, it’s worth reading this breakdown of how AI is transforming the search experience, which covers the move from ranked lists to generated answers in more depth than there’s room for here.
That’s according to Google’s Search Central documentation, which stays fairly consistent on this point even as the AI-search conversation gets louder around it. Worth reading directly rather than trusting a paraphrase, including this one.
How to Measure AI Search Visibility in 2026
Following the right people is one step. The next is figuring out whether their ideas are actually moving the needle for your own site, and that means looking past rankings alone.
Track several signals rather than leaning on one AI-visibility score: branded mentions, citations, referring pages, search impressions, organic traffic, conversions, and how often your content shows up for the queries that actually matter to your business. Google has also expanded Search Console’s reporting around generative AI features, which makes this kind of tracking easier to fold into your normal reporting instead of running it as a side project.
Consistency matters more than any single check. AI answers shift between queries and over time, so one ChatGPT or AI Mode result proving (or disproving) something isn’t enough to call a strategy a win or a failure.
Other SEO AI Experts Worth Watching
The ten above aren’t the only names in the room. A handful of others keep coming up in current SEO and AI-search community discussions and are worth a follow if you want a broader read on the space: Dan Petrovic, Glenn Gabe, Mark Williams-Cook, Britney Muller, and Suganthan Mohanadasan. None of them displace the ten above, they just round the picture out.
Following the Right People Beats Following the Most People
It’s tempting to follow every name on every “top SEO experts” list, but that mostly just creates noise. A better approach: pick two or three people whose specialty maps to a problem you’re actually facing, follow their work closely for a few months, and test what they suggest on your own site. SEO, and its AI-driven cousin, rewards people who verify things themselves instead of repeating whatever trended on social media that week.
Frequently Asked Questions
Who are the top 10 SEO AI experts to follow in 2026?
There’s no universally accepted ranking. This list covers ten professionals whose work spans technical SEO, E-E-A-T, semantic SEO, entities, AI search, GEO, and strategy. The right one to follow depends on what you’re trying to solve.
Who is the best AI SEO expert to follow?
Depends on the problem. Technical crawl issues point toward Mike King or Aleyda Solís; content trust concerns point toward Lily Ray. Pick based on your actual gap, not a ranking number.
What is the difference between SEO, AEO and GEO?
SEO earns visibility in traditional results, AEO focuses on providing direct answers to specific questions, and GEO focuses on how content gets represented inside generative AI answers. They overlap far more than they compete.
Who should I follow for technical SEO?
Aleyda Solís and Mike King both work from a technical, mechanics-first angle, useful if crawl budget, indexing, or international structure are the actual problem.
Who should I follow for E-E-A-T?
Lily Ray, especially for YMYL sites in health, finance, or legal niches where trust signals carry outsized weight.
How can I measure AI search visibility?
Track branded mentions, citations, referring pages, impressions, and conversions together rather than chasing a single AI-visibility score, and use Search Console’s expanded generative AI reporting alongside your normal data.
Is GEO replacing traditional SEO?
No. Generative Engine Optimization builds on the same foundations, crawlability, structured content, topical authority, trust, rather than replacing them. AI systems still lean heavily on well-indexed, well-structured web content to generate answers.
Final Thoughts
None of this is meant to be a fixed leaderboard. It’s a working answer to the top 10 SEO AI experts to follow in 2026 question, and the right pick from this list changes depending on what you’re actually stuck on right now. Technical mess, trust problem, traffic mystery, entity confusion, they each point to a different name above.
What ties all ten together isn’t a shared method or a shared platform. It’s that each one publishes real analysis instead of recycled predictions, and tests things in public where you can actually check the work. That’s a higher bar than most “top experts” lists apply, and it’s the one worth using here too. Follow two or three, watch what they test over the next few months, then try it on your own site before deciding it’s worth keeping.
