The Top SEO Experts of 2026 - A Real Research Study

Read This First - Conflict of Interest

I am on this list, at 22. I sell SEO training and a paid community, so I compete with roughly a third of the people below for the same attention and the same money.

Which is why the score is a published formula rather than my opinion. Five measured inputs, one line of maths, printed in full so you can re-run it and tell me I'm wrong. I score 40.4. Eleven people I would happily pay to learn from score under me and I'll explain why that does not mean what it looks like.

Every "top SEO experts" list works the same way. Somebody who wants links writes down twenty names, the twenty names share it because their name is on it, and the list ranks because twenty people with decent domains just linked to it.

Nobody checks anything. Here's how I know.

Feedspot's SEO influencer ranking was last modified on 19 August 2026. Two weeks ago, as I write this. It ranks Bill Slawski at number 13, with 58.7K followers and a live job title.

The same list has Tristam Jarman at number one with 865 followers, ranked above Neil Patel and his 476,000. Whatever that list is sorted by, it is not influence, and it is not maintained by a person who reads it.

It gets worse. Bruce Clay died in May 2026. He was one of the genuine founders of the discipline, he has been publicly mourned across every trade publication in the industry, and he is still being recommended as a person to follow on "best SEO experts of 2026" listicles published after his death.

This is the state of the category. So I rebuilt my own version from scratch, with a formula instead of a favour list.

The Finding: These Lists Are Not Research, They're Link Schemes With Headshots

Three things are true about almost every "top SEO experts" page ranking in Google right now:

  1. The names are recycled. Run four of these lists side by side and you get the same cohort in a different order. Not because those are the four best, but because those four already appear on the other lists, and copying a list that ranks is cheaper than doing research.
  2. Nobody verifies anyone is alive, active, or still in the industry. See above. Two dead men and a Google employee who changed jobs a year ago, all still listed as current.
  3. A meaningful share are distribution plays. Several of the lists that rank for this term go out through PR wire services, feature the same small cluster of link-building operators, and link to each other. That is a strategy. It is a good strategy. It is not a ranking of expertise.

Including The Ones I'm On

I am on at least two of those recycled lists. I did not write them and I do not control them, and I am not going to sit here and pretend my appearances are the pure meritocratic exception while everyone else's are compromised.

If you found me through one of those pages, you should apply the same discount to my name that I have just asked you to apply to everyone else's. The correct response to "Charles Floate appears on four top SEO expert lists" is not "he must be good", it is "he must be well distributed". Those are different claims and only one of them is flattering.

So here is the version where distribution counts for nothing.

The Receipts Score (The Whole Formula, Published)

Five inputs, all pulled from Ahrefs on 31 August 2026, all reproducible in about ten minutes. Every input is log-scaled first, because the difference between 300 and 3,000 monthly visits matters far more than the difference between 300,000 and 302,000, then min-max normalised across the 33 people so the best in each category scores full marks.

30
Organic traffic to their own domainCan the person teaching you to rank, rank. The most obvious test and the one nobody publishes.
30
AI citations across all enginesWhether the machines that are eating search have heard of them. Full breakdown on the AI SEO experts page.
15
Referring domainsEarned authority. Slow to build, hard to fake at this scale, and it is the closest thing we have to a peer-review signal.
15
Keywords ranking in the top 3Traffic can come from one lucky page. Top-3 keyword count says they can do it repeatedly.
10
Distinct pages cited by AIBreadth of the machine-readable footprint. One quotable asset is luck; sixty is a system.
Ranked table of SEO professionals by AI citations across ChatGPT, Perplexity, Gemini, AI Overviews, AI Mode and Copilot
Chart 3. The AI citation input, broken out by engine. Full method on the AI SEO experts page.

The formula in one line, so nobody has to guess:

Score = 30·norm(log traffic) + 30·norm(log citations) + 15·norm(log ref domains) + 15·norm(log top-3 keywords) + 10·norm(log cited pages)

What is deliberately not in this rubric:

  • Followers. They measure how good someone is at social media. Some of the best operators I know post four times a year. Covered separately on the influencers page.
  • Conference talks. A speaking circuit is a relationship business. Being on it says an organiser likes you.
  • Client results. Unverifiable by definition. Everybody has a case study page and nobody has a losing one.
  • Years in the industry. I have eighteen. It has made me better at some things and considerably more stubborn about others.
  • My personal opinion of them. Which is why people I rate enormously are sitting below people I don't.

All 33, Scored and Ranked

Horizontal bar chart ranking 33 SEO professionals by Receipts Score out of 100, with Domain Rating shown beside each bar
Chart 1. The Receipts Score, all 33 ranked. Domain Rating shown alongside so you can see how little it predicts. Source: Ahrefs, 31 August 2026.
#NamePrimary domainScoreDRRef domTraffic/moTop-3 kwAI cites
1Neil Patelneilpatel.com100.09181,438347,8282,39212,438
2Brian Deanbacklinko.com93.79058,567319,7471,4987,619
3Evan Bailynfirstpagesage.com77.8829,45269,2051,1741,875
4Barry Schwartzseroundtable.com75.48521,47921,696943946
5Wil Reynoldsseerinteractive.com70.6809,77613,1636101,249
6Nathan Gotchrankability.com66.5743,96829,0973131,064
7Glen Allsoppdetailed.com61.9732,93610,278418821
8Rand Fishkinsparktoro.com59.58518,8466,916125195
9Ross Simmondsfoundationinc.co56.3775,3312,302174342
10Matt Diggitydiggitymarketing.com56.3754,411653511,307
11Koray Tuğberk Gübürholisticseo.digital54.4561,4591,625175741
12Andrea Volpiniwordlift.io53.0743,2053,29986324
13Mark Williams-Cookalsoasked.com52.6774,6448,94171183
14Mike Kingipullrank.com51.6755,3532,88080173
15Cindy Krummobilemoxie.com50.7701,44518,78781131
16Lily Rayamsive.com50.5753,3545,62687120
17Glenn Gabegsqi.com50.2722,5291,973177184
18James Dooleyfatrank.com48.9654,12289442269
19Jason Barnardkalicube.com46.0641,2521,86596159
20Marie Haynesmariehaynes.com45.2732,8001,34084109
21Cyrus Shepardzyppy.com44.3732,4031,67073100
22Charles Floatecharlesfloate.com40.4306722,64951118
23Aleyda Solísaleydasolis.com40.4753,3631,2523947
24Craig Campbellcraigcampbellseo.com36.8541,53933014108
25Kyle Roofpageoptimizer.pro36.1671,9682,3292524
26Kevin Indiggrowth-memo.com35.6742,4108432333
27Julian Goldiejuliangoldie.com34.7541,216460974
28Gael Bretonauthorityhacker.com32.7787,0543021322
29Tomek Rudzkiziptie.dev31.5711,860480928
30Malte Landwehrpeec.ai30.4753,9062,07659
31Olaf Koppkopp-online-marketing.com29.9507512651844
32Dan Petrovicdejanmarketing.com9.7651,1161224
33Metehan Yeşilyurtmetehan.ai5.4669030014

The Trap In This Scoreboard (Read This Before You Quote It)

Look at the bottom two rows. Dan Petrovic at 32nd. Metehan Yeşilyurt at 33rd.

Petrovic is one of maybe three people alive doing genuine mechanistic interpretability work on search models. He trains his own models to find out how retrieval actually behaves. If I had one technical question about how an engine decides what to surface, I would ask him before I asked anyone else on this page, including the people in the top five.

He scores 9.7 out of 100.

The reason is not that the formula is broken. The reason is that the formula measures a website, and Petrovic does not use his website. His findings go out as LinkedIn posts and X threads and conference talks. dejanmarketing.com gets 12 organic visits a month because he has not asked it to get more.

So here is the rule for reading any scoreboard, mine included: a low score is a fact about the thing being measured, not a verdict on the person. I measured domains. Anyone whose work lives on other people's platforms scores badly and always will.

What the score IS good for: catching the opposite error. If someone has spent three years telling you they are a top SEO expert and their own domain gets 300 visits and 4 citations, that is now a question they have to answer.

The same caveat applies to the other end. Neil Patel scoring 100 tells you he runs the largest SEO content operation on earth. It does not tell you he would be your best hire.

The People, One by One

1. Neil Patel - neilpatel.com

Score 100.0 · DR 91 · 81,438 ref domains · 347,828 visits/mo · 2,392 top-3 keywords · 12,438 AI citations

Maximum score, and the least useful entry on the page. Patel runs an industrial content and agency operation and the numbers reflect industrial scale, not individual craft. 81,438 referring domains is more than the next two people combined.

Worth knowing: he is also first on AI citations by a factor of 1.6 over second place. Whatever you think of the content, the machines are reading it constantly.

4. Barry Schwartz - seroundtable.com

Score 75.4 · DR 85 · 21,479 ref domains · 21,696 visits/mo · 943 top-3 keywords · 946 AI citations

Twenty-three years of publishing search news, every day, without missing. 499 distinct cited pages - the second-highest count in the set, behind only Neil Patel's 1,902 - which is what two decades of consistent daily archive does to a machine-readable footprint.

If you only follow one person in this industry, it is still him, and it has been him since about 2004.

5. Wil Reynolds - seerinteractive.com

Score 70.6 · DR 80 · 9,776 ref domains · 13,163 visits/mo · 610 top-3 keywords · 1,249 AI citations

The highest-scoring agency in the top ten that got there on published research rather than publishing volume. Seer gives away work most agencies would gate, and 226 cited pages is the return on that.

7. Glen Allsopp - detailed.com

Score 61.9 · DR 73 · 2,936 ref domains · 10,278 visits/mo · 418 top-3 keywords · 821 AI citations

Publishes rarely and lands hard every time. Detailed's work on which handful of companies quietly own the SERPs is the kind of research that changes how people see the industry, and it earns him 821 citations off 64 cited pages - the second-highest citations-per-page ratio in the set at 12.8.

Proof that output frequency is not the variable people think it is.

10. Matt Diggity - diggitymarketing.com

Score 56.3 · DR 75 · 4,411 ref domains · 653 visits/mo · 51 top-3 keywords · 1,307 AI citations

The most interesting row on the table. 653 organic visits, down from a peak of 53,260 in November 2023 - and 1,307 AI citations, fourth overall, ahead of Barry Schwartz.

Diggity's tested-affiliate-tactics archive is being treated by the engines as a reference work at the same time Google appears to have stopped sending it people. I do not have a tidy explanation. I have the two numbers and the fact that they point in opposite directions.

11. Koray Tuğberk Gübür - holisticseo.digital

Score 54.4 · DR 56 · 1,459 ref domains · 1,625 visits/mo · 175 top-3 keywords · 741 AI citations

The most efficient entry on the board. DR 56 - eighteen points below the group median - and he still lands 11th, ahead of Mike King, Lily Ray, Cyrus Shepard and Aleyda Solís, all of whom have substantially more authority to work with.

His semantic and topical authority frameworks are hard reading and unusually rigorous, and the engines quote them constantly. 266 Perplexity citations, second only to Matt Diggity's 413 among individuals.

14. Mike King - ipullrank.com

Score 51.6 · DR 75 · 5,353 ref domains · 2,880 visits/mo · 80 top-3 keywords · 173 AI citations

Did more than any single person to make the Google leak usable, and his relevance engineering work is the most technically ambitious thing being published in the field right now.

Scores 14th because the formula measures a domain and his best material lands as talks, decks and long PDFs that other sites then summarise. The engines cite the summarisers. That is a fact about publishing formats, not about Mike King.

17. Glenn Gabe - gsqi.com

Score 50.2 · DR 72 · 2,529 ref domains · 1,973 visits/mo · 177 top-3 keywords · 184 AI citations

177 keywords in the top three off 1,973 monthly visits tells you exactly what Glenn does: he owns a very large number of very specific algorithm-update queries that almost nobody searches, and he owns them completely. When a core update lands he is the first coherent read available, every time.

18. James Dooley - fatrank.com

Score 48.9 · DR 65 · 4,122 ref domains · 894 visits/mo · 42 top-3 keywords · 269 AI citations · ratio 0.301

Fourth-highest citation ratio in the whole set. FatRank is built as a definitions-and-lists property, and definitions are the single most liftable content format that exists. Whether that was designed for AI retrieval or is an accident of an old lead-gen playbook, it works.

23. Aleyda Solís - aleydasolis.com

Score 40.4 · DR 75 · 3,363 ref domains · 1,252 visits/mo · 39 top-3 keywords · 47 AI citations

Tied with me, on a domain 45 DR points stronger than mine, and the gap between her standing in this industry and this score is the largest on the page after Petrovic's.

The cause is the same structural one: SEOFOMO is the product, the newsletter is where the work lives, and a newsletter is not a crawlable archive. She has probably taught more working SEOs than anyone else on this list. The formula cannot see any of it.

28. Gael Breton - authorityhacker.com

Score 32.7 · DR 78 · 7,054 ref domains · 302 visits/mo · 13 top-3 keywords · 22 AI citations

Included because it is the starkest before-and-after on the page. DR 78 and 7,054 referring domains - seventh-highest authority in this entire group - producing 302 organic visits and 22 AI citations.

authorityhacker.com did 76,142 visits in January 2024. It fell to 1,825 in November 2025 and 264 the month after, and has flatlined around 300 ever since. That is a 99.6% decline, and it happened in one quarter. It is not a knock on the man. It is the clearest single illustration of why "look at their DR" stopped being a useful question.

Scatter plot of Domain Rating against monthly organic traffic for 31 SEO professionals with measurable traffic, showing DR is a weak predictor of traffic
Chart 2. Domain Rating against organic traffic. If DR predicted performance this would be a diagonal line. Source: Ahrefs, 31 August 2026.
Line chart of monthly organic traffic for diggitymarketing.com and authorityhacker.com from January 2023 to August 2026, both declining more than 98 percent from peak
Chart 4. Three years of organic traffic for two DR 75+ SEO properties. Both still hold their Domain Rating and their referring domains. Source: Ahrefs traffic history, US index.

Names Still Being Recommended Who Have Died Or Moved On

Check before you cite. All of these still appear on lists published or updated in 2026:

  • Bruce Clay ❌ Died May 2026. One of the founders of the discipline and the originator of content siloing. Still appearing as a live recommendation.
  • Bill Slawski ❌ Died 2022. Currently ranked 13th on Feedspot's SEO influencer list, last modified 19 August 2026. His patent analysis remains some of the most valuable archive material in the industry - read it, just do not expect a reply.
  • Hamlet Batista ❌ Died 2021. Still surfaces in older Python-for-SEO roundups.
  • Jill Whalen ❌ Died June 2025, having retired from SEO back in 2013.
  • Danny Sullivan ⚠️ Alive and at Google, but he stepped out of the Search Liaison role in August 2025. Anyone describing him as "Google's Search Liaison" in 2026 copied it from a list written in 2023.
  • Matt Cutts ⚠️ Left Google in 2016 and the industry with it. His channel is an archive, not a source.

None of that is a gotcha. People die and people move on. The point is that a list nobody has read in four years is not research, and there are a lot of them ranking above this one right now.

The One I Won't Score: Mine

I am 22nd with 40.4, tied with Aleyda Solís, on DR 30 - the lowest domain rating of all 33 by twenty points. My referring domain count, 672, is the smallest in the set. I get there on traffic efficiency and a decent AI Overview footprint, and I would not have made the top half of this table five years ago when the site was bigger and doing less.

What I will not do is score my own community on my own rubric, because that is the trick this whole page exists to complain about. Here it is, described plainly, and you can weigh it yourself:

AI SEO Rainmakers

My paid community. Weekly live call, the tool and repo stack I actually use, and the tests I cannot publish in public - including a live experiment putting real money through 13 PR vendors to see which ones buy AI citations. Operators only, priced accordingly.

Look inside →

If you'd rather not pay me anything: Barry Schwartz's daily feed, Glenn Gabe on updates, Seer's published research and Koray's back catalogue will cost you nothing and cover most of it. That is a genuine recommendation, not a humility performance.

Pick One in 60 Seconds

  • You want to know what happened today ✅ Barry Schwartz.
  • A core update just hit you ✅ Glenn Gabe, then Marie Haynes.
  • You want to understand the mechanism, not the tactic ✅ Dan Petrovic and Mike King. Ignore their positions on my table, I have explained why.
  • You want content that gets retrieved by AI ✅ Koray Tuğberk Gübür.
  • You want to see who really owns the SERPs ✅ Glen Allsopp.
  • You want to learn structured, teachable SEO from scratch ✅ Aleyda Solís or Nathan Gotch.
  • You run affiliate sites and want tested tactics ✅ Matt Diggity.
  • You want the grey areas nobody writes about publicly ✅ That is what I do, and you should assume I am biased about it.

FAQs About SEO Experts

Who is the best SEO expert in the world in 2026?

There isn't one, and any page that gives you a single name is selling something. On measurable output - own-domain traffic, earned links, AI citations - Neil Patel and Brian Dean lead, but both run large content operations rather than practising individually. Among individual practitioners, Barry Schwartz, Wil Reynolds, Glen Allsopp and Koray Tuğberk Gübür score highest on this rubric.

How do I check if an SEO expert is actually any good?

Three checks, ten minutes, no relationship required. Put their own domain in Ahrefs and look at organic traffic and top-3 keyword count. Pull their AI citation count. Then check the date on their most recent published test with real data in it. Someone teaching ranking whose own site does not rank, and who has not published a test in two years, is selling a reputation rather than a skill.

Why do so many "top SEO expert" lists have the same names?

Because copying a list that already ranks is cheaper than doing research, and because being on the list gives the people named a reason to share it. Several of the pages ranking for this term are distributed through PR wire services and feature the same small cluster of operators cross-linking each other. That is a link strategy, and it works, but it is not a ranking of expertise.

Does an SEO expert need to rank their own website?

It is strong evidence when it is there and weak evidence when it is missing. Dan Petrovic scores 32nd out of 33 on this rubric and is one of the most technically capable researchers in the field - his work lives on LinkedIn and X, not his domain. Use the test to catch people whose claims outrun their output, not to dismiss people who publish elsewhere.

Is Domain Rating a good way to judge an SEO?

No, and this dataset shows why. authorityhacker.com sits at DR 78 with 7,054 referring domains and gets 302 organic visits a month. holisticseo.digital sits at DR 56 with 1,459 referring domains and out-cites a DR 75 site by more than 4x in AI engines. DR measures link acquisition history, not current performance.

How often is this list updated?

Quarterly, with a note saying what moved and why. Every number is a live Ahrefs pull rather than a copy from another list, which is the entire reason this page exists.

P.S. - If you find a number here that's wrong, tell me and I'll change it and say what changed. That is a lower bar than it sounds like. The list ranking above this one has had a dead man at 13 since 2022.

Data: Ahrefs API, 31 August 2026. Organic traffic, Domain Rating, referring domains and top-3 keyword counts from the Ahrefs US index. AI citations counted across ChatGPT, Perplexity, Gemini, Google AI Overviews, Google AI Mode, Copilot and Grok. Follower figures referenced in the opening section are Feedspot's own, as published 19 August 2026. Last updated 31 August 2026.