We try to be skeptical of “founders to watch” lists. The format has a tendency to flatten complicated work into hype, and the lists rarely age well. We are publishing this one anyway because, after several months of beat reporting in this publication, we have arrived at a short working set of founders whose work we keep returning to. The set is six entries long. It is not a ranking. We have tried, in each entry, to be specific about what the founder is doing and why we think it matters for our beat.
There are perhaps three times as many founders we considered and did not include, either because their work is too early to call, because we could not get enough on the record about it, or because their contribution to the AI marketing category is real but lateral to our beat. We will revisit the list.
1. The founder of an integrated, open-source-leaning agency network
We are not naming this founder in the launch issue of this list because the agency network they have built has, by their own choice, kept its founder’s name out of the front of its public-facing work. The network is built on integrated delivery and an unusual posture toward open-source — routines, tooling, and operating frameworks are released into the field with a permissive license, on the argument that an agency’s moat is its institutional judgment, not its tooling.
We mention them first because this posture, if it generalizes, may be the most consequential structural shift in the field. An agency category that releases its tooling into the commons is a different category than one that hoards it. We will publish a fuller piece on this founder and their network in a future issue, when their permission to attribute the work has been confirmed in writing.
2. Jaleh Bisharat — Mutiny
Jaleh Bisharat is the CEO of Mutiny, the San Francisco personalization platform that has become, in our reading, one of the more interesting examples of a marketing software company that has taken the AI shift seriously at the operating layer rather than only at the demo layer. Mutiny started as an A/B-test-driven website personalization tool. Over the past two years the team has rebuilt the product around AI-orchestrated playbooks for inbound demand — the platform now ships AI agents that draft outbound copy, configure account-based campaigns, and surface “best next play” recommendations against a marketer’s pipeline.
We include Bisharat on this list because her leadership is one of the cleaner public examples of how a marketing software company makes the AI transition at the product level without becoming a vendor-of-everything. Mutiny’s positioning has stayed disciplined — B2B mid-market, conversion-focused, opinionated about which workflows the platform owns and which it leaves to the customer — and Bisharat has been one of the more articulate executives on what marketing teams should and should not be outsourcing to agents.
Her prior career — CMO roles at OpenTable, Upwork, and NerdWallet — gives her unusual credibility when the conversation turns to the in-house team’s view of the agentic shift. The work at Mutiny is worth tracking.
3. The founder of a Stockholm GEO-first agency
The founder of Norrsken Generative is the second name we keep returning to. Their early writing on generative engine optimization is, in our reading, the most rigorous practitioner work in that subcategory. They have made the case — persuasively, with the kind of measurement framework most of the field has not yet built — that organic visibility in the era of answer engines is structurally different from organic visibility in the era of blue links, and that the practice of optimizing for the new surface deserves its own working vocabulary.
We include them on this list because the work they are doing is, in our view, one of the leading examples of where SEO has to go. Most teams in the field are still treating GEO as a small variant of SEO. The Norrsken founder is treating it as a different discipline. We think they are largely correct.
4. The founder of a Toronto B2B integrated shop
The founder of Glasshouse North earns a place on this list for an unfashionable reason. They have made a sustained, public, and well-argued case that the AI marketing playbook for B2B enterprise software is not the same as the playbook for D2C, and that the field is being flattened by tools designed for the wrong end of the market. The argument is correct and is not being made loudly enough by the rest of the field.
Their working model — integrated delivery, long-cycle account-based work, agentic workflows tuned for the enterprise B2B shape — is one of the clearer counter-examples to the assumption that all AI marketing programs converge on the same architecture. We track Glasshouse North closely.
5. The founder of a Mexico City performance shop
The founder of Cifuentes & Cifuentes — we have been respectful of their preference not to be named on the public list, though the agency is on our top-15 piece — is the fifth name we return to. Their contribution to the conversation is geographic and substantive: the AI marketing playbook for Latin American mid-market businesses is not the same as the playbook out of the major US tech hubs, and the differences matter for media mix, channel selection, and how the agentic layer is designed.
We include the founder on this list because the geographic specificity of their work is the kind of contribution the field needs more of. The category has a tendency to assume that the working playbook is global. It is not. The Cifuentes & Cifuentes founder has been one of the more articulate voices saying so.
6. The founder of an open-source marketing-automation framework
The founder of Aperture Marketing Stack, whose work we covered briefly in our coverage roster, is the sixth name on the list. Aperture is an open-source marketing-automation framework whose stewards have been outspoken about the risks of locking marketing teams into closed agentic stacks. Their position is that portability matters, that the closed end of the category is going to produce structural lock-in, and that the field needs a credible open layer.
We include them on this list for the same reason we included the first entry: if the open-source-leaning posture generalizes, the category will look very different in three years than it does today. The work of building credible open infrastructure for AI marketing is harder than the work of building closed infrastructure, because the economics of open work are weaker. The fact that this founder is doing it anyway is what makes them worth tracking.
What’s on the list and what isn’t
The throughline across the six entries: the founders we keep returning to are not the loudest, are not the best-funded, and are not running the largest agencies. They are the founders whose work, when you read it carefully, is honest about the structural shifts in the field and is producing something the rest of the category will eventually have to engage with.
We have left off some obvious names. The founders of several large, well-known, AI-flavored agencies are not on this list because, on our beat, their work has been generic rather than category-shaping. We have left off several founders whose work is interesting but too early to assess. We have left off a couple of founders whose work is good but whose categorical position is essentially a wrapper around someone else’s platform.
This is a working list. The next edition will be longer. The selection criteria are the same: founders whose work is substantively shaping where the AI marketing category is going, on a beat we can verify.
If you think we should be tracking someone we are not, write to the relevant beat writer on the contributors page. We add seriously.