- How I compiled this list
- The top 25 AEO/GEO experts
- 1. Kevin Indig
- 2. Xibeijia Guan
- 3. Dan Petrovic
- 4. Louise Linehan
- 5. Johannes Beus
- 6. Metehan Yeşilyurt
- 7. Manick Bhan
- 8. Josh Blyskal
- 9. Ryan Law
- 10. Aleyda Solís
- 11. Mitul Gandhi
- 12. Suganthan Mohanadasan
- 13. Davis McCain
- 14. Tomek Rudzki
- 15. Chris Long
- 16. Tom Capper
- 17. Lily Ray
- 18. Hanns Kronenberg
- 19. Rand Fishkin
- 20. David Bell
- 21. Ethan Smith
- 22. Mark Traphagen
- 23. Andy Crestodina
- 24. Jan Ehrlinspiel
- 25. Ross Hudgens
- Bonus: The 10 most popular AEO/GEO studies
How have click-through rates changed since AI Overviews appeared? Which websites does ChatGPT cite most often? How do query fanout, RAG, and other AI search complexities actually work?
Research is how you answer these questions, and how you keep up with what's changing in AI search. These are the 25 people publishing the most original research on AI search, and the ones worth following.
- How I compiled this list
- The top 25 AEO/GEO experts
- 1. Kevin Indig
- 2. Xibeijia Guan
- 3. Dan Petrovic
- 4. Louise Linehan
- 5. Johannes Beus
- 6. Metehan Yeşilyurt
- 7. Manick Bhan
- 8. Josh Blyskal
- 9. Ryan Law
- 10. Aleyda Solís
- 11. Mitul Gandhi
- 12. Suganthan Mohanadasan
- 13. Davis McCain
- 14. Tomek Rudzki
- 15. Chris Long
- 16. Tom Capper
- 17. Lily Ray
- 18. Hanns Kronenberg
- 19. Rand Fishkin
- 20. David Bell
- 21. Ethan Smith
- 22. Mark Traphagen
- 23. Andy Crestodina
- 24. Jan Ehrlinspiel
- 25. Ross Hudgens
- Bonus: The 10 most popular AEO/GEO studies
How I compiled this list
I started with a longlist of 87 names: people widely recommended as AEO and GEO experts, and researchers at AI visibility companies.
Then I counted how many original AI search studies each person has published. I pulled every page published on each person's main publishing sites since 2023 (more than 17,000 pages), checked each one against the criteria below, and checked who was credited. Where the same study appeared in more than one place, such as a cross-post, translation or update, I counted it once.
A page counted as a study if it met four tests:
- Original data. The author or their team collected or analyzed it themselves, such as prompts run through AI assistants, AI Overview results, citation datasets, analytics, server logs, surveys or controlled experiments.
- About AI search. How ChatGPT, Perplexity, Gemini, Claude, Copilot, Grok, AI Overviews or AI Mode find, cite and recommend content, the traffic they send, or how people use them to search.
- A meaningful sample. Roughly 50+ prompts, queries or pages; analytics from 10+ websites; 100+ survey respondents; or a controlled experiment with a described setup.
- A published write-up. An article, report or paper published between January 2023 and November 2026.
People only got credit for studies carrying their byline, or that name them as a co-author or as the analyst behind the data. Company research with no named author didn't count toward anyone.
I ranked by number of studies, and broke ties by the number of websites linking to those studies.
The top 25 AEO/GEO experts
# | Expert | Studies | Company | Known for |
|---|---|---|---|---|
1 | 36 | Growth Memo | Data-driven LLM citation and AI search behavior | |
2 | 31 | Ahrefs | AI search citations and click impact | |
3 | 20 | DEJAN | AI grounding and citation mechanics | |
4 | 19 | Ahrefs | Data-driven AI search citation research | |
5 | 14 | SISTRIX | Large-scale AI citation and visibility data | |
6 | 14 | Peec AI | Reverse-engineering AI search citation and retrieval behavior | |
7 | 13 | Search Atlas | Large-scale LLM citation behavior research | |
8 | 11 | Profound | AI citation behavior across answer engines | |
9 | 9 | Ahrefs | Large-scale AI Overviews and AI citation studies | |
10 | 9 | Orainti | Data-driven AI search citation and traffic research | |
11 | 9 | seoClarity | AI citations vs organic rankings | |
12 | 7 | Snippet Digital | How AI search engines pick sources | |
13 | 7 | Profound | Large-scale AI citation and search behavior research | |
14 | 6 | Peec AI / ZipTie | AI citations, fan-out queries and tracking | |
15 | 6 | Nectiv | Fan-out queries and AI crawling research | |
16 | 6 | Moz / STAT | AI search results versus organic rankings | |
17 | 5 | Amsive | AI search citations and source reliability | |
18 | 5 | GPT Insights | German AI search and brand visibility research | |
19 | 4 | SparkToro | Measuring AI search against traditional search | |
20 | 4 | Previsible | LLM referral traffic measurement | |
21 | 4 | Graphite | Data-driven AEO measurement and AI search research | |
22 | 4 | seoClarity | AI Overviews' impact on organic search | |
23 | 4 | Orbit Media | AI search traffic, conversion, and visibility data | |
24 | 4 | Peec AI | AI brand visibility measurement and research | |
25 | 4 | Siege Media | Data-driven generative engine optimization research |
1. Kevin Indig
Growth Memo | 36 studies
Kevin Indig is a growth advisor and author of the Growth Memo newsletter, and he previously led SEO and growth at Shopify, G2, and Atlassian. His research uses large citation and user behavior datasets to show what drives LLM citations, including retrieval rank, content depth, brand popularity, and G2 profile signals, and how AI Overviews and AI Mode change the way people search and choose.
Where their studies are published: growth-memo.com (25), searchenginejournal.com (6), sell.g2.com (3), kevin-indig.com (1), learn.g2.com (1)
Most-linked studies:
- The science of how AI pays attention (447 referring domains, 832 backlinks)
- The first-ever UX Study of Google’s AI Overviews: The Data We've All Been Waiting For (300 referring domains, 468 backlinks)
- What Our AI Mode User Behavior Study Reveals about the Future of Search (209 referring domains, 361 backlinks)
2. Xibeijia Guan
Ahrefs | 31 studies
Xibeijia Guan is a data scientist at Ahrefs and the analyst behind most of its AI search research. Her studies cover how much AI Overviews cut clicks (34.5%), how often AI-cited pages rank in Google's top 10, and how stable AI citations are over time.
Follow: LinkedIn
Where their studies are published: ahrefs.com (31)
Most-linked studies:
- AI Overviews Reduce Clicks by 34.5% (7,681 referring domains, 16,314 backlinks)
- An Analysis of AI Overview Brand Visibility Factors (75K Brands Studied) (4,879 referring domains, 10,629 backlinks)
- Update: 38% of AI Overview Citations Pull From The Top 10 (3,541 referring domains, 8,513 backlinks)
3. Dan Petrovic
DEJAN | 20 studies
Dan Petrovic is the Founder and Director of DEJAN, an SEO agency, and of its AI-focused arm DEJAN AI. His research uses large query and citation datasets to measure how Google and OpenAI ground answers, including how many words Google takes from each source, how little page content survives filtering, and how formatting and intent match affect AI visibility.
Where their studies are published: dejan.ai (20)
Most-linked studies:
- SRO & Grounding Snippets (151 referring domains, 265 backlinks)
- No, AI doesn't prefer Reddit. Search does. (42 referring domains, 64 backlinks)
- Google, Anthropic and OpenAI crawlers fetched dejan.ai's robots.txt 1,150 times and its llms.txt 4 times in 30 days (33 referring domains, 54 backlinks)
4. Louise Linehan
Ahrefs | 19 studies
Louise Linehan is a content marketer at Ahrefs who leads much of the company's AI search research writing. Her studies cover how AI Overviews and ChatGPT choose citations, including a 75,000-brand visibility analysis, a finding that 97% of llms.txt files never get read (137,210 domains), and a test showing 1,885 pages that added schema saw barely any change in AI citations.
Where their studies are published: ahrefs.com (19)
Most-linked studies:
- An Analysis of AI Overview Brand Visibility Factors (75K Brands Studied) (4,879 referring domains, 10,629 backlinks)
- Update: 38% of AI Overview Citations Pull From The Top 10 (3,430 referring domains, 8,345 backlinks)
- Only 12% of AI Cited URLs Rank in Google’s Top 10 for the Original Prompt (1,679 referring domains, 3,231 backlinks)
5. Johannes Beus
SISTRIX | 14 studies
Johannes Beus is the founder and managing director of SISTRIX, the SEO and visibility analytics software company. SISTRIX research under his leadership is known for large-sample studies of how AI Overviews, AI Mode, and ChatGPT choose and change their cited sources, and what that does to click-through rates and brand visibility.
Where their studies are published: sistrix.com (7), sistrix.de (6), sistrix.fr (1)
Most-linked studies:
- AI Overviews in Germany: How Much Click-Through Rates Are Really Dropping (384 referring domains, 729 backlinks)
- AI Citation drift: How stable are sources in AI search results? (253 referring domains, 502 backlinks)
- Was ChatGPT & Co. zitieren: 96.418 URLs im Datencheck (61 referring domains, 351 backlinks)
6. Metehan Yeşilyurt
Peec AI | 14 studies
Metehan Yeşilyurt is a GEO Researcher at Peec AI who publishes experiments and large data analyses on how ChatGPT, Perplexity, and Google AI Overviews retrieve and cite sources. His work is known for specific findings such as GPTBot crawling a new 60,000-page site 29,000+ times in 12 hours, Perplexity's reranking patterns, and the drop in Reddit citations in ChatGPT shopping answers across millions of conversations.
Where their studies are published: metehan.ai (9), peec.ai (2), metehanai.substack.com (2), speakerdeck.com (1)
Most-linked studies:
- My GEO experiment escaped the sandbox (406 referring domains, 776 backlinks)
- Google Translate Proxy Pages Are Dominating AI Overviews in Europe, too, And No One Controls It (74 referring domains, 80 backlinks)
- Translated Reddit Is Winning AI Citations. (45 referring domains, 89 backlinks)
7. Manick Bhan
Search Atlas | 13 studies
Manick Bhan is the founder and CTO of Search Atlas and the founder of LinkGraph. His research, built on large citation datasets such as 120M+ AI citations across 6.4M domains, shows that LLM citations are only loosely tied to Google rankings and domain authority, and that schema markup and /llms.txt show no measurable effect on visibility.
Where their studies are published: searchatlas.com (12), signalgenesys.com (1)
Most-linked studies:
- Do LLMs Retain or “Leak” Retrieved Knowledge (84 referring domains, 106 backlinks)
- The Limits of Schema Markup for AI Search: LLM Citation Analysis (66 referring domains, 85 backlinks)
- How GPT Results Differ from Search Engine Results (43 referring domains, 50 backlinks)
8. Josh Blyskal
Profound | 11 studies
Josh Blyskal is the AI Strategy & Research Lead at Profound, where he runs large-scale studies of how AI answer engines choose which sources to cite. His research draws on datasets of up to billions of citations and shows that cited domains change heavily over time, differ sharply between ChatGPT, Perplexity and Claude, and are only weakly explained by traditional SEO metrics.
Where their studies are published: tryprofound.com (8), joshblyskal.com (2), speakerdeck.com (1)
Most-linked studies:
- AI Search Volatility: Why AI search results keep changing (201 referring domains, 371 backlinks)
- The Data on Reddit and AI Search (188 referring domains, 346 backlinks)
- The Surprising Gap Between ChatGPT and Google: Why Traditional SEO Isn't Enough (185 referring domains, 237 backlinks)
9. Ryan Law
Ahrefs | 9 studies
Ryan Law is Director of Content Marketing at Ahrefs. His studies analyze AI search at large scale, including one finding that AI Overviews reduce clicks by 34.5% across 300,000 keywords and another examining 146 million SERPs to see what triggers AI Overviews.
Where their studies are published: ahrefs.com (9)
Most-linked studies:
- AI Overviews Reduce Clicks by 34.5% (7,681 referring domains, 16,314 backlinks)
- New Study: AI Assistants Prefer to Cite “Fresher” Content (17 Million Citations Analyzed) (1,132 referring domains, 2,344 backlinks)
- What Triggers AI Overviews? 86 Factors and 146 Million SERPs Analyzed (604 referring domains, 1,269 backlinks)
10. Aleyda Solís
Orainti | 9 studies
Aleyda Solís is an international SEO consultant and founder of Orainti, and she also created the SEOFOMO newsletter and LearningAIsearch. Her research tests how AI search works and measures where citations and traffic come from, including findings that third-party sources drive 84% to 93% of AI citation weight for SaaS brands and that AI search is only 0.19% of visits across 40 sites.
Where their studies are published: aleydasolis.com (8), hub.seofomo.co (1)
Most-linked studies:
- The State of AI Search Optimization Survey Report - 2026 (104 referring domains, 157 backlinks)
- Search Isn’t Just Turning to AI, it’s being Re-Monetized: Text Ads Are Taking a Bigger Share of Google SERP Clicks (Data) (99 referring domains, 144 backlinks)
- Confirmed: ChatGPT uses Google SERP Snippets for its Answers [A Test with Proof] (97 referring domains, 141 backlinks)
11. Mitul Gandhi
seoClarity | 9 studies
Mitul Gandhi is co-founder and Chief Architect of seoClarity, the enterprise SEO platform. His studies use seoClarity's search data to measure how AI Overviews, AI Mode and ChatGPT citations line up with Google rankings, including a 1,000-query AI Mode study (12,011 citations) and a report on 77 million AI search visits across 300+ brands.
Where their studies are published: seoclarity.net (9)
Most-linked studies:
- The Overlap Between AI Overviews and Organic Rankings (204 referring domains, 305 backlinks)
- Tracking the Decline of ChatGPT’s Citations: A Global Trend Analysis (50 referring domains, 95 backlinks)
- AI Search Trend Report: What We’re Seeing Across Hundreds of Brands (45 referring domains, 55 backlinks)
12. Suganthan Mohanadasan
Snippet Digital | 7 studies
Suganthan Mohanadasan is a co-founder of Snippet Digital and Keyword Insights and an AI SEO researcher. His research inspects network traffic, API responses, and server logs to show how ChatGPT, Perplexity, and DeepSeek find, label, and choose the sources they cite.
Where their studies are published: suganthan.com (7)
Most-linked studies:
- How ChatGPT Actually Picks Sources (I Read the Network Traffic, Not the Outputs) (264 referring domains, 1,115 backlinks)
- ChatGPT Already Knows Who's In The Running Before It Searches (208 referring domains, 895 backlinks)
- "Yes, Go On": The AI Conversations Leaking Into Your Search Console (106 referring domains, 159 backlinks)
13. Davis McCain
Profound | 7 studies
Davis McCain is a Research lead at Profound and one of its early research hires. His studies are known for large-scale AI search data, including a 1.19 million page-engine lifecycle analysis across 7 AI engines that found the half-life of an AI citation is 11 days, and a 1.4M citation analysis showing LinkedIn is the most-cited domain for professional queries.
Follow: LinkedIn
Where their studies are published: tryprofound.com (7)
Most-linked studies:
- LinkedIn is the most-cited domain for professional queries in AI search (321 referring domains, 491 backlinks)
- Google AI Mode's shift to citing itself (85 referring domains, 240 backlinks)
- The half-life of an AI citation is 11 days (71 referring domains, 183 backlinks)
14. Tomek Rudzki
Peec AI / ZipTie | 6 studies
Tomek Rudzki is a GEO researcher at Peec AI and co-founder of ZipTie.dev, and previously led R&D at Onely. His recent studies map which domains AI search cites (30M sources), how ChatGPT builds fan-out queries, and why AI Overviews are the most under-tracked AI surface.
Where their studies are published: peec.ai (5), ziptie.dev (1)
Most-linked studies:
- Top domains cited by AI search: Analysis based on 30M sources (296 referring domains, 546 backlinks)
- ChatGPT built its own search index (219 referring domains, 360 backlinks)
- ChatGPT searches in English, even when you don't (104 referring domains, 793 backlinks)
15. Chris Long
Nectiv | 6 studies
Chris Long is a co-founder at Nectiv and an SEO and AEO consultant who focuses on B2B and technology brands. His research is known for analyzing how ChatGPT and Google build fan-out queries (such as ChatGPT's jump to 7.61 per prompt and Google's average of 9.06), as well as OpenAI's crawl activity across 7B+ log files and a CHEQ case study showing a 5,600% rise in AI citations.
Where their studies are published: nectivdigital.com (5), botify.com (1)
Most-linked studies:
- New Data Study: What Queries Is ChatGPT Using Behind The Scenes? (115 referring domains, 172 backlinks)
- OpenAI Has Tripled Their Crawl of the Web: An Analysis of 7B+ Log Files (83 referring domains, 108 backlinks)
- New Research: What We Learned From Analyzing 60K+ Google Fan-Out Queries (66 referring domains, 85 backlinks)
16. Tom Capper
Moz / STAT | 6 studies
Tom Capper is a Senior Search Scientist at Moz and STAT, where he has also worked on search product strategy. His research uses large keyword samples, often 40,000 or more, to measure how AI Overviews, AI Mode and SGE citations compare with traditional top 10 organic rankings, including where AI Overviews appear on the page.
Where their studies are published: moz.com (3), getstat.com (2), webtan.impress.co.jp (1)
Most-linked studies:
- AI Overviews: Are They Affecting Your Search Results? (65 referring domains, 157 backlinks)
- AI Mode: Features & Ranking (47 referring domains, 226 backlinks)
- SGE is not the answer (31 referring domains, 38 backlinks)
17. Lily Ray
Amsive | 5 studies
Lily Ray is VP of SEO & AI Search at Amsive, where she studies how AI search tools choose and cite sources. Her recent studies cover self-promotional listicles in Google AI Overviews (69% of 100 B2B queries cited them while recommending competitors), the link between Google organic visibility losses and lost AI citations across 11 subfolders, and how quickly different LLMs repeated fictional claims.
Where their studies are published: lilyraynyc.substack.com (3), lilyray.nyc (1), amsive.com (1)
Most-linked studies:
- Why Calling Yourself the 'Best' Could Be Helping Your Competitors Win in AI Search (190 referring domains, 396 backlinks)
- Are Citations in AI Search Affected by Google Organic Visibility Changes? (128 referring domains, 170 backlinks)
- The AI Slop Loop (66 referring domains, 83 backlinks)
18. Hanns Kronenberg
GPT Insights | 5 studies
Hanns Kronenberg is an AI search advisor and the founder of GPT Insights in Germany. His research covers German-language AI search, including a 1,000,000 prompt dataset (DEVAL-25) with about 14,000 Netflix-related prompts, an analysis of 3,000 keywords with AI Overviews using Sistrix data, and a Brand-AIO study of 100 brands across 800 SERP observations.
Where their studies are published: gpt-insights.de (4), groundingpage.com (1)
Most-linked studies:
- AI Overviews: Diese Keywords, Cluster & Domains sind betroffen (8 referring domains, 8 backlinks)
- Does it work? Grounding Pages in Proof of Concept (6 referring domains, 7 backlinks)
- Netflix im GPT Insights Report: Wie ChatGPT die Marke sieht (1 referring domains, 1 backlinks)
19. Rand Fishkin
SparkToro | 4 studies
Rand Fishkin is the cofounder and CEO of SparkToro and the author of Zero Click Marketing. His research uses large device panels and volunteer prompt runs to measure how people search and how consistently AI tools recommend brands, including a finding that Google handled about 373 times more searches than ChatGPT and a 2026 study showing AI brand lists rarely repeat.
Where their studies are published: sparktoro.com (4)
Most-linked studies:
- NEW Research: AIs are highly inconsistent when recommending brands or products; marketers should take care when tracking AI visibility (3,153 referring domains, 9,896 backlinks)
- New Research: Google Search Grew 20%+ in 2024; receives ~373X more searches than ChatGPT (635 referring domains, 1,205 backlinks)
- New Research: Search Happens Everywhere; an Analysis of 41 Websites with Significant Search Activity (326 referring domains, 470 backlinks)
20. David Bell
Previsible | 4 studies
David Bell is Chief Product Officer and co-founder of Previsible, a search consultancy. His annual State of AI Discovery reports use GA4 data from dozens of sites (1.96M LLM sessions in the 2025 edition) to measure how much traffic AI assistants send and which platforms send it.
Where their studies are published: previsible.com (2), searchengineland.com (2)
Most-linked studies:
- AI traffic is up 527%. SEO is being rewritten. (616 referring domains, 1,049 backlinks)
- 2025 State of AI Discovery Report: What 1.96 Million LLM Sessions Tell Us About the Future of Search (307 referring domains, 467 backlinks)
- ChatGPT commands 92% of AI referral traffic. Here's what 6.77 million sessions reveal. (226 referring domains, 347 backlinks)
21. Ethan Smith
Graphite | 4 studies
Ethan Smith is the Founder and CEO of Graphite, an SEO and growth-marketing agency focused on SEO and answer engine optimization. His research uses large datasets to test claims about AI and search, including that AI-generated content is a small share of Google results and AI citations, that SEO traffic fell only 2.5% year over year, and that sampling about 10 AI responses is enough to estimate brand visibility and position.
Where their studies are published: graphite.io (4)
Most-linked studies:
- AI Content In Search & LLMs (226 referring domains, 325 backlinks)
- Debunking The Myth That Search Is Dying (196 referring domains, 302 backlinks)
- AI Is Much Bigger Than You Think (150 referring domains, 212 backlinks)
22. Mark Traphagen
seoClarity | 4 studies
Mark Traphagen is VP of Product Marketing and Training at seoClarity. His research uses seoClarity's keyword datasets to measure how AI Overviews affect SEO, including a 432,000-keyword impact study and an analysis of 120 million US keywords.
Where their studies are published: seoclarity.net (4)
Most-linked studies:
- Impact of Google’s AI Overviews: SEO Research Study (426 referring domains, 618 backlinks)
- AI Overviews: Measuring the Impact on SEO (46 referring domains, 54 backlinks)
- Should You Try to Rank for AI Overviews? (9 referring domains, 9 backlinks)
23. Andy Crestodina
Orbit Media | 4 studies
Andy Crestodina is the CMO and co-founder of Orbit Media Studios, a web design and digital marketing agency. His research draws on surveys and site data, including a 1,110-person AI search adoption survey, conversion rates across 97 B2B websites and 29 million visits, and 560,000+ AI crawler requests, and it shows that AI visitors convert to leads at 3x the rate of other organic traffic, that AI crawlers visit homepages 15 times more than other page types, and that free AI visibility audits give arbitrary scores.
Where their studies are published: orbitmedia.com (4)
Most-linked studies:
- The AI-Search Adoption Survey: These 6 Charts Show Where and How People Look for Things [New Research] (129 referring domains, 225 backlinks)
- AI Traffic Conversion Rates: New Research from 97 B2B Websites and 29M visits (79 referring domains, 135 backlinks)
- AI Crawls vs. AI Traffic: What 560K+ Requests Reveal (New Research) (28 referring domains, 50 backlinks)
24. Jan Ehrlinspiel
Peec AI | 4 studies
Jan Ehrlinspiel is a GEO Researcher at Peec AI who publishes data studies on how AI engines mention and rank brands. His research covers how listicle position affects brand visibility across nearly 200,000 AI responses, why tracking more prompts once gives more accurate visibility scores than repeating fewer prompts, and how a company's name shapes the way AI models describe it.
Where their studies are published: peec.ai (3), searchenginejournal.com (1)
Most-linked studies:
- Prompt Tracking: Does prompt variance % impact brand mentions? (80 referring domains, 127 backlinks)
- The Listicle Rank Effect: What 200K AI Responses Across 8 AI Engines Reveal About Brand Visibility (58 referring domains, 93 backlinks)
- The key to prompt tracking (30 referring domains, 37 backlinks)
25. Ross Hudgens
Siege Media | 4 studies
Ross Hudgens is the founder and CEO of Siege Media and the author of Generative Engine Optimization. His research is known for client and multi-site studies on how AI Overviews and LLMs affect traffic, including a 50-site study showing homepage clicks up 10.7%, a 116-site study naming versus pages as the strongest predictor of AI search traffic, and a 585-brand study where five or more homepage credibility statements raised AI visibility 62% for mid-authority brands.
Where their studies are published: siegemedia.com (4)
Most-linked studies:
- Homepage Traffic is Up 10.7% from AI Overviews and LLMs [50-Site Study] (82 referring domains, 110 backlinks)
- AI Overviews SEO Impact Report [New Data] (44 referring domains, 56 backlinks)
- The Content That Predicts AI Search Traffic Most: Versus Pages (23 referring domains, 811 backlinks)
Bonus: The 10 most popular AEO/GEO studies
These are the 10 studies by the experts on this list that have earned links from the most websites.
# | Study | Author(s) | Published | Referring domains | Backlinks |
|---|---|---|---|---|---|
1 | Xibeijia Guan and Ryan Law | Apr 2025 | 7,681 | 16,314 | |
2 | Xibeijia Guan and Louise Linehan | May 2025 | 4,879 | 10,629 | |
3 | Xibeijia Guan and Louise Linehan | Mar 2026 | 3,541 | 8,513 | |
4 | Rand Fishkin | Jan 2026 | 3,153 | 9,896 | |
5 | Xibeijia Guan and Louise Linehan | Aug 2025 | 1,679 | 3,231 | |
6 | Xibeijia Guan and Louise Linehan | Jun 2026 | 1,586 | 2,955 | |
7 | Xibeijia Guan and Louise Linehan | May 2026 | 1,480 | 4,788 | |
8 | Xibeijia Guan and Ryan Law | Jul 2025 | 1,132 | 2,344 | |
9 | Rand Fishkin | Mar 2025 | 635 | 1,205 | |
10 | David Bell | Aug 2025 | 616 | 1,049 |
Ryan Law is the Director of Content Marketing at Ahrefs. Before joining the team, Ryan was CMO at content marketing agency Animalz.
Over the past 13 years, Ryan has been a writer, content strategist, team lead, marketing director, VP, CMO, and agency co-founder. He's worked with companies including Google, Zapier, Textio, Clearbit, and Algolia and hosted workshops and webinars for many more.
Ryan is the creator of two fantasy novels, two writing courses, and many more (less successful) projects.
