People I actually read
15 SEO + AI Search Creators Worth Following in 2026
First published .
This is not a ranking scraped from follower counts. It comes from the people I actually talk with, argue with, learn from and keep seeing around the work we do at Aiso.
One of Will Kennard’s articles led us to build an Aiso tool. Orit Mutznik challenged how I interpreted a study. André Pitì and I have worked on AI-search research. Aleyda Solís, Lily Ray, Mark Williams-Cook and others on this list regularly send me down useful rabbit holes.
So this is deliberately personal. I am also putting myself first. It is Aiso’s list, and my own research is part of the reason I know many of the people on it. After that, the order follows the handwritten list we made for the post.
- 1.
Benjamin Tannenbaum
I am putting myself first because this is our list, not a neutral industry ranking. I publish Aiso’s experiments on real AI conversations, fan-outs, citations and recommendation behavior, and a lot of the conversations below started from that work. If you want the research without the usual GEO abstraction, start here.
- 2.
Aleyda Solís
Aleyda’s LearningAIsearch roadmap is one of the better places to send someone who needs to understand the space without drowning in isolated tactics. She connects technical SEO, content and measurement instead of treating AI search as a separate universe.
- 3.
André Pitì
André and I have worked on research around the searches ChatGPT runs behind an answer. I like that he shows the prompts, method and limitations when he tests something. You can inspect how he got to a result instead of just receiving the result.
- 4.
Ann Smarty
Ann is good at turning a new feature into an actual workflow. Her walkthrough of Aiso’s fan-out tooling connected ChatGPT searches to ranking pages, competitors and content research. Practical enough to use the same day.
- 5.
Brooke Weller
Brooke writes about implementation and measurement. Her Bing AI Performance post is a good example because she covered what the dashboard gives you and what it still does not, including the missing full prompts.
- 6.
John Campbell
John keeps building small tools around questions the rest of us are still trying to answer. The ChatGPT App Tracker is one example. His posts usually give you something concrete to inspect rather than another prediction about where search is going.
- 7.
Lily Ray
Lily is worth following partly because she is willing to update a conclusion in public. In the fan-out thread linked here, she amended the post after more evidence came in and credited the people who helped clarify it.
- 8.
Mark Williams-Cook
Mark’s roundups are useful because you can follow each item back to a source. He has included findings from my work too. I read him for a quick scan of what changed, then click through on the few things that matter for what we are testing.
- 9.
Olesia Korobka
Olesia spends a lot of time on entities, knowledge graphs and how a brand is represented by search and AI systems. That becomes useful when the problem is not simply visibility but that the model misunderstands who the company is.
- 10.
Orit Mutznik
Orit challenged how I framed one of our studies about influencing AI product rankings. Her ecommerce perspective put more weight on useful product descriptions and the customer’s decision. We did not frame it the same way, which is exactly why I keep reading her.
- 11.
Radu Stoian
Radu looks closely at the searches and context behind an AI answer. I recently picked up one of his posts about ChatGPT Ads restrictions too. He is useful when two apparently similar questions produce different results and you want to know why.
- 12.
Rémy Bendayan
Rémy brings a paid-media angle that most AI-search lists miss. datashake has been testing ChatGPT Ads, and I recently commented on one of his posts about avoiding spend on prompts where a brand already appears organically.
- 13.
Will Kennard
Will wrote about SEO problems in Next.js sites and mistakes that can appear in AI-generated code. We turned that article into an Aiso audit tool. That is about as concrete a reason as I can give for putting someone on this list.
- 14.
Tehilla Broder
Tehilla is not an SEO creator in the usual sense. She works closer to machine learning, model reliability and evaluation. I like having that in my feed because it pulls the AI-search discussion away from marketing shorthand and back toward how systems are actually tested.
- 15.
Ana Precup
Ana brings the conversation back to doing SEO for clients. She talks about ecommerce, AI search and the awkward work of explaining what a tool can and cannot realistically do. There is value in someone who also writes about what happens on the client call.
Who am I missing?
Send me a specific post, experiment or tool rather than just a name. That is how most of the people above ended up in my feed in the first place.